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No application file
Varun Israni commited on
Commit ·
69ae464
1
Parent(s): a36160d
- .DS_Store +0 -0
- ao.py +216 -0
- combined_api.py +301 -0
- competitor_api.py +216 -0
- feature_api.py +239 -0
- feedback_api.py +230 -0
- gap_api.py +230 -0
- gemini_analysis_20241203031554.txt +46 -0
- gemini_analysis_prompt.txt +234 -0
- gemini_outputs/compitoone.txt +42 -0
- gemini_outputs/markettrand.txt +71 -0
- gemini_prompt.txt +32 -0
- goamify.com_gap_analysis.txt +222 -0
- hiring.amazon.com_gap_analysis.txt +179 -0
- hopstack.io_gap_analysis.txt +237 -0
- icp_api.py +319 -0
- impact_api.py +230 -0
- journey_api.py +276 -0
- kimola.com_feedback.txt +319 -0
- market_analysis_ai_20241130_034753.json +109 -0
- market_analysis_hotel_20241130_032846.json +114 -0
- market_analysis_scam_20241130_032826.json +107 -0
- market_assessment_api.py +232 -0
- market_trends_api.py +344 -0
- mexem.com_gap_analysis.txt +0 -0
- quora.com_feedback.txt +548 -0
- scraped_content_20241203031519.txt +265 -0
- scraped_content_20241203031525.txt +290 -0
- scraped_content_20241203031532.txt +723 -0
- scraped_content_20241203031538.txt +214 -0
- scraped_content_20241203031545.txt +242 -0
- scraped_sources.txt +0 -0
- simplilearn.com_gap_analysis.txt +301 -0
- smartinsights.com_gap_analysis.txt +590 -0
- ss +219 -0
- ss.py +8 -0
- ss1.py +677 -0
- swot_api.py +237 -0
.DS_Store
ADDED
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Binary file (6.15 kB). View file
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ao.py
ADDED
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| 1 |
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from flask import Flask, request, jsonify
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| 2 |
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from flask_cors import CORS
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import logging
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from datetime import datetime
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from firecrawl import FirecrawlApp
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import google.generativeai as genai
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import os
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import json
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import time
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app = Flask(__name__)
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CORS(app)
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logging.basicConfig(level=logging.DEBUG)
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+
# Initialize Firecrawl and Gemini
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+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
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firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
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logging.info("Firecrawl initialized")
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| 20 |
+
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| 21 |
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GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
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| 22 |
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if GOOGLE_API_KEY:
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genai.configure(api_key=GOOGLE_API_KEY)
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model = genai.GenerativeModel('gemini-1.5-flash')
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logging.info("Gemini initialized")
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| 27 |
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def get_competitor_data(query):
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| 28 |
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"""
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Get competitor data in phases and send updates
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| 30 |
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"""
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logging.info(f"\n{'='*50}\nAnalyzing competitors for: {query}\n{'='*50}")
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result = {
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"main_competitors": [],
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"competitor_strengths": [],
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"key_findings": [],
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"sources": []
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}
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# Phase 1: Get Top Competitors
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logging.info("\nPhase 1: Getting Top Competitors")
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search_query = f"top competitors of {query} list"
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try:
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from googlesearch import search
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urls = list(search(
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search_query,
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num_results=10,
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lang="en"
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| 49 |
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))
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| 51 |
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time.sleep(2) # Add delay between searches
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| 52 |
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| 53 |
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competitor_url = urls[0] if urls else None
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if competitor_url:
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| 55 |
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response = firecrawl_app.scrape_url(
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url=competitor_url,
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| 57 |
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params={'formats': ['markdown']}
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| 58 |
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)
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| 59 |
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if response and response.get('markdown'):
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| 60 |
+
result["sources"].append({
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| 61 |
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'url': competitor_url,
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| 62 |
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'domain': extract_domain(competitor_url),
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| 63 |
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'section': 'Top Competitors',
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| 64 |
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'date': datetime.now().strftime("%Y-%m-%d")
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| 65 |
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})
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| 66 |
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| 67 |
+
prompt = f"""
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| 68 |
+
Analyze this content and list the top 5 competitors of {query}.
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| 69 |
+
Format each competitor as: [Name] - [Brief description]
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| 70 |
+
Content: {response.get('markdown')}
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| 71 |
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"""
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| 72 |
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competitors = model.generate_content(prompt).text
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| 73 |
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result["main_competitors"] = extract_section(competitors, "")
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| 74 |
+
logging.info(f"Found competitors: {result['main_competitors']}")
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| 75 |
+
except Exception as e:
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| 76 |
+
logging.error(f"Error in Phase 1: {str(e)}")
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| 77 |
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| 78 |
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# Phase 2: Get Competitor Strengths
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| 79 |
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logging.info("\nPhase 2: Getting Competitor Strengths")
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| 80 |
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search_query = f"{query} competitors strengths advantages comparison"
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| 81 |
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try:
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| 82 |
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urls = list(search(
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| 83 |
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search_query,
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| 84 |
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num_results=10,
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| 85 |
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lang="en"
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| 86 |
+
))
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| 87 |
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| 88 |
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time.sleep(2) # Add delay between searches
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| 89 |
+
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| 90 |
+
strengths_url = urls[0] if urls else None
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| 91 |
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if strengths_url:
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| 92 |
+
response = firecrawl_app.scrape_url(
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| 93 |
+
url=strengths_url,
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| 94 |
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params={'formats': ['markdown']}
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| 95 |
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)
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| 96 |
+
if response and response.get('markdown'):
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| 97 |
+
result["sources"].append({
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| 98 |
+
'url': strengths_url,
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| 99 |
+
'domain': extract_domain(strengths_url),
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| 100 |
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'section': 'Competitor Strengths',
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| 101 |
+
'date': datetime.now().strftime("%Y-%m-%d")
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| 102 |
+
})
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| 103 |
+
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| 104 |
+
prompt = f"""
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| 105 |
+
List the key strengths of {query}'s main competitors.
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| 106 |
+
Format as: [Competitor Name]: [Key strength]
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| 107 |
+
Content: {response.get('markdown')}
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| 108 |
+
"""
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| 109 |
+
strengths = model.generate_content(prompt).text
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| 110 |
+
result["competitor_strengths"] = extract_section(strengths, "")
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| 111 |
+
logging.info(f"Found strengths: {result['competitor_strengths']}")
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| 112 |
+
except Exception as e:
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| 113 |
+
logging.error(f"Error in Phase 2: {str(e)}")
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| 114 |
+
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| 115 |
+
# Phase 3: Get Key Findings
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| 116 |
+
logging.info("\nPhase 3: Getting Key Findings")
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| 117 |
+
search_query = f"{query} competitive landscape analysis insights"
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| 118 |
+
try:
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| 119 |
+
urls = list(search(
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| 120 |
+
search_query,
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| 121 |
+
num_results=10,
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| 122 |
+
lang="en"
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| 123 |
+
))
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| 124 |
+
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| 125 |
+
time.sleep(2) # Add delay between searches
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| 126 |
+
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| 127 |
+
insights_url = urls[0] if urls else None
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| 128 |
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if insights_url:
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| 129 |
+
response = firecrawl_app.scrape_url(
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| 130 |
+
url=insights_url,
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| 131 |
+
params={'formats': ['markdown']}
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| 132 |
+
)
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| 133 |
+
if response and response.get('markdown'):
|
| 134 |
+
result["sources"].append({
|
| 135 |
+
'url': insights_url,
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| 136 |
+
'domain': extract_domain(insights_url),
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| 137 |
+
'section': 'Key Findings',
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| 138 |
+
'date': datetime.now().strftime("%Y-%m-%d")
|
| 139 |
+
})
|
| 140 |
+
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| 141 |
+
prompt = f"""
|
| 142 |
+
Provide 2-3 key insights about {query}'s competitive landscape.
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| 143 |
+
Format as numbered points.
|
| 144 |
+
Content: {response.get('markdown')}
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| 145 |
+
"""
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| 146 |
+
findings = model.generate_content(prompt).text
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| 147 |
+
result["key_findings"] = extract_section(findings, "")
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| 148 |
+
logging.info(f"Found key findings: {findings}")
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| 149 |
+
except Exception as e:
|
| 150 |
+
logging.error(f"Error in Phase 3: {str(e)}")
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| 151 |
+
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| 152 |
+
return result
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| 153 |
+
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| 154 |
+
def extract_section(text, section_name):
|
| 155 |
+
"""Extract content from a specific section"""
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| 156 |
+
try:
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| 157 |
+
# Find section
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| 158 |
+
start = text.find(section_name + ":")
|
| 159 |
+
if start == -1:
|
| 160 |
+
return []
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| 161 |
+
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| 162 |
+
# Find next section or end
|
| 163 |
+
next_section = float('inf')
|
| 164 |
+
for section in ["TOP COMPETITORS:", "COMPETITOR STRENGTHS:", "KEY FINDINGS:"]:
|
| 165 |
+
if section != section_name + ":":
|
| 166 |
+
pos = text.find(section, start + len(section_name))
|
| 167 |
+
if pos != -1:
|
| 168 |
+
next_section = min(next_section, pos)
|
| 169 |
+
|
| 170 |
+
# Extract content
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| 171 |
+
content = text[start + len(section_name) + 1:next_section if next_section != float('inf') else None]
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| 172 |
+
|
| 173 |
+
# Split into lines and clean
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| 174 |
+
lines = [line.strip() for line in content.strip().split('\n') if line.strip()]
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| 175 |
+
return lines
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| 176 |
+
except Exception as e:
|
| 177 |
+
logging.error(f"Error extracting {section_name}: {str(e)}")
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| 178 |
+
return []
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| 179 |
+
|
| 180 |
+
def extract_domain(url):
|
| 181 |
+
"""Extract domain from a URL"""
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| 182 |
+
try:
|
| 183 |
+
return url.split('/')[2]
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| 184 |
+
except Exception as e:
|
| 185 |
+
logging.error(f"Error extracting domain: {str(e)}")
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| 186 |
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return ""
|
| 187 |
+
|
| 188 |
+
def create_empty_response():
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| 189 |
+
return {
|
| 190 |
+
"main_competitors": [],
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| 191 |
+
"competitor_strengths": [],
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| 192 |
+
"key_findings": [],
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| 193 |
+
"sources": []
|
| 194 |
+
}
|
| 195 |
+
|
| 196 |
+
@app.route('/api/competitor-analysis', methods=['POST', 'OPTIONS'])
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| 197 |
+
def analyze_competitors():
|
| 198 |
+
if request.method == 'OPTIONS':
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| 199 |
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return '', 204
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| 200 |
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|
| 201 |
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try:
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| 202 |
+
data = request.json
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| 203 |
+
query = data.get('query')
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| 204 |
+
|
| 205 |
+
if not query:
|
| 206 |
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return jsonify({'error': 'No query provided'}), 400
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| 207 |
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|
| 208 |
+
competitor_info = get_competitor_data(query)
|
| 209 |
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return jsonify(competitor_info)
|
| 210 |
+
|
| 211 |
+
except Exception as e:
|
| 212 |
+
logging.error(f"Error during analysis: {str(e)}")
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| 213 |
+
return jsonify({'error': str(e)}), 500
|
| 214 |
+
|
| 215 |
+
if __name__ == '__main__':
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| 216 |
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app.run(port=5001, debug=True)
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combined_api.py
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@@ -0,0 +1,301 @@
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|
|
|
|
| 1 |
+
from flask import Flask, request, jsonify
|
| 2 |
+
from flask_cors import CORS
|
| 3 |
+
import logging
|
| 4 |
+
import os
|
| 5 |
+
from dotenv import load_dotenv
|
| 6 |
+
from concurrent.futures import ThreadPoolExecutor
|
| 7 |
+
|
| 8 |
+
# Initialize Flask app
|
| 9 |
+
app = Flask(__name__)
|
| 10 |
+
CORS(app)
|
| 11 |
+
|
| 12 |
+
# Logging configuration
|
| 13 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 14 |
+
|
| 15 |
+
# Create thread pool for parallel execution
|
| 16 |
+
executor = ThreadPoolExecutor(max_workers=10)
|
| 17 |
+
|
| 18 |
+
# Create a directory to store Gemini outputs
|
| 19 |
+
output_dir = 'gemini_outputs'
|
| 20 |
+
os.makedirs(output_dir, exist_ok=True)
|
| 21 |
+
|
| 22 |
+
# Import the analysis functions
|
| 23 |
+
from market_trends_api import get_trends_data
|
| 24 |
+
from competitor_api import get_competitor_data, create_empty_response
|
| 25 |
+
from icp_api import analyze_icp
|
| 26 |
+
from journey_api import get_journey_data
|
| 27 |
+
from feature_api import get_feature_data
|
| 28 |
+
from feedback_api import get_feedback_data
|
| 29 |
+
from gap_api import get_gap_data
|
| 30 |
+
from impact_api import get_impact_data
|
| 31 |
+
from market_assessment_api import get_market_data
|
| 32 |
+
from swot_api import get_swot_data
|
| 33 |
+
|
| 34 |
+
@app.route('/api/competitor-analysis', methods=['POST', 'OPTIONS'])
|
| 35 |
+
def analyze_competitors():
|
| 36 |
+
"""Endpoint for competitor analysis"""
|
| 37 |
+
if request.method == 'OPTIONS':
|
| 38 |
+
return '', 204
|
| 39 |
+
|
| 40 |
+
try:
|
| 41 |
+
data = request.json
|
| 42 |
+
query = data.get('query')
|
| 43 |
+
|
| 44 |
+
if not query:
|
| 45 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 46 |
+
|
| 47 |
+
# Use the analyze_icp function here
|
| 48 |
+
icp_result, status_code = analyze_icp(query)
|
| 49 |
+
if status_code != 200:
|
| 50 |
+
return jsonify(icp_result), status_code
|
| 51 |
+
|
| 52 |
+
# Run competitor analysis in a separate thread
|
| 53 |
+
future = executor.submit(get_competitor_data, query)
|
| 54 |
+
competitor_info = future.result(timeout=60)
|
| 55 |
+
|
| 56 |
+
# Save the competitor analysis output to a text file
|
| 57 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'w') as f:
|
| 58 |
+
f.write(str(competitor_info))
|
| 59 |
+
|
| 60 |
+
return jsonify(competitor_info)
|
| 61 |
+
|
| 62 |
+
except Exception as e:
|
| 63 |
+
logging.error(f"Error during competitor analysis: {str(e)}")
|
| 64 |
+
return jsonify({'error': str(e)}), 500
|
| 65 |
+
|
| 66 |
+
@app.route('/api/market-trends', methods=['POST', 'OPTIONS'])
|
| 67 |
+
def analyze_market_trends():
|
| 68 |
+
"""Endpoint for market trends analysis"""
|
| 69 |
+
if request.method == 'OPTIONS':
|
| 70 |
+
return '', 204
|
| 71 |
+
|
| 72 |
+
try:
|
| 73 |
+
data = request.json
|
| 74 |
+
query = data.get('query')
|
| 75 |
+
|
| 76 |
+
if not query:
|
| 77 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 78 |
+
|
| 79 |
+
# Run market trends analysis in a separate thread
|
| 80 |
+
future = executor.submit(get_trends_data, query)
|
| 81 |
+
trends_info = future.result(timeout=60)
|
| 82 |
+
|
| 83 |
+
# Save the market trends output to a text file
|
| 84 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 85 |
+
f.write(str(trends_info))
|
| 86 |
+
|
| 87 |
+
return jsonify(trends_info)
|
| 88 |
+
|
| 89 |
+
except Exception as e:
|
| 90 |
+
logging.error(f"Error during market trends analysis: {str(e)}")
|
| 91 |
+
return jsonify({'error': str(e)}), 500
|
| 92 |
+
|
| 93 |
+
@app.route('/api/icp-analysis', methods=['POST'])
|
| 94 |
+
def analyze_icp_endpoint():
|
| 95 |
+
"""Endpoint for ICP analysis"""
|
| 96 |
+
data = request.json
|
| 97 |
+
query = data.get('query')
|
| 98 |
+
|
| 99 |
+
if not query:
|
| 100 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 101 |
+
|
| 102 |
+
# Call the analyze_icp function
|
| 103 |
+
icp_result, status_code = analyze_icp(query)
|
| 104 |
+
return jsonify(icp_result), status_code
|
| 105 |
+
|
| 106 |
+
@app.route('/api/journey-analysis', methods=['POST', 'OPTIONS'])
|
| 107 |
+
def analyze_journey():
|
| 108 |
+
"""Endpoint for journey analysis"""
|
| 109 |
+
if request.method == 'OPTIONS':
|
| 110 |
+
return '', 204
|
| 111 |
+
|
| 112 |
+
try:
|
| 113 |
+
data = request.json
|
| 114 |
+
query = data.get('query')
|
| 115 |
+
|
| 116 |
+
if not query:
|
| 117 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 118 |
+
|
| 119 |
+
# Run journey analysis in a separate thread
|
| 120 |
+
future = executor.submit(get_journey_data, query)
|
| 121 |
+
journey_info = future.result(timeout=60)
|
| 122 |
+
|
| 123 |
+
# Save the journey analysis output to a text file
|
| 124 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 125 |
+
f.write(str(journey_info))
|
| 126 |
+
|
| 127 |
+
return jsonify(journey_info)
|
| 128 |
+
|
| 129 |
+
except Exception as e:
|
| 130 |
+
logging.error(f"Error during journey analysis: {str(e)}")
|
| 131 |
+
return jsonify({'error': str(e)}), 500
|
| 132 |
+
|
| 133 |
+
@app.route('/api/feature-priority', methods=['POST', 'OPTIONS'])
|
| 134 |
+
def analyze_features():
|
| 135 |
+
"""Endpoint for feature priority analysis"""
|
| 136 |
+
if request.method == 'OPTIONS':
|
| 137 |
+
return '', 204
|
| 138 |
+
|
| 139 |
+
try:
|
| 140 |
+
data = request.json
|
| 141 |
+
query = data.get('query')
|
| 142 |
+
|
| 143 |
+
if not query:
|
| 144 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 145 |
+
|
| 146 |
+
# Run feature analysis in a separate thread
|
| 147 |
+
future = executor.submit(get_feature_data, query)
|
| 148 |
+
feature_info = future.result(timeout=60)
|
| 149 |
+
|
| 150 |
+
# Save the feature analysis output to a text file
|
| 151 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 152 |
+
f.write(str(feature_info))
|
| 153 |
+
|
| 154 |
+
return jsonify(feature_info)
|
| 155 |
+
|
| 156 |
+
except Exception as e:
|
| 157 |
+
logging.error(f"Error during feature analysis: {str(e)}")
|
| 158 |
+
return jsonify({'error': str(e)}), 500
|
| 159 |
+
|
| 160 |
+
@app.route('/api/feedback-analysis', methods=['POST', 'OPTIONS'])
|
| 161 |
+
def analyze_feedback():
|
| 162 |
+
"""Endpoint for feedback analysis"""
|
| 163 |
+
if request.method == 'OPTIONS':
|
| 164 |
+
return '', 204
|
| 165 |
+
|
| 166 |
+
try:
|
| 167 |
+
data = request.json
|
| 168 |
+
query = data.get('query')
|
| 169 |
+
|
| 170 |
+
if not query:
|
| 171 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 172 |
+
|
| 173 |
+
# Run feedback analysis in a separate thread
|
| 174 |
+
future = executor.submit(get_feedback_data, query)
|
| 175 |
+
feedback_info = future.result(timeout=60)
|
| 176 |
+
|
| 177 |
+
# Save the feedback analysis output to a text file
|
| 178 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 179 |
+
f.write(str(feedback_info))
|
| 180 |
+
|
| 181 |
+
return jsonify(feedback_info)
|
| 182 |
+
|
| 183 |
+
except Exception as e:
|
| 184 |
+
logging.error(f"Error during feedback analysis: {str(e)}")
|
| 185 |
+
return jsonify({'error': str(e)}), 500
|
| 186 |
+
|
| 187 |
+
@app.route('/api/gap-analysis', methods=['POST', 'OPTIONS'])
|
| 188 |
+
def analyze_gap():
|
| 189 |
+
"""Endpoint for gap analysis"""
|
| 190 |
+
if request.method == 'OPTIONS':
|
| 191 |
+
return '', 204
|
| 192 |
+
|
| 193 |
+
try:
|
| 194 |
+
data = request.json
|
| 195 |
+
query = data.get('query')
|
| 196 |
+
|
| 197 |
+
if not query:
|
| 198 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 199 |
+
|
| 200 |
+
# Run gap analysis in a separate thread
|
| 201 |
+
future = executor.submit(get_gap_data, query)
|
| 202 |
+
gap_info = future.result(timeout=60)
|
| 203 |
+
|
| 204 |
+
# Save the gap analysis output to a text file
|
| 205 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 206 |
+
f.write(str(gap_info))
|
| 207 |
+
|
| 208 |
+
return jsonify(gap_info)
|
| 209 |
+
|
| 210 |
+
except Exception as e:
|
| 211 |
+
logging.error(f"Error during gap analysis: {str(e)}")
|
| 212 |
+
return jsonify({'error': str(e)}), 500
|
| 213 |
+
|
| 214 |
+
@app.route('/api/impact-assessment', methods=['POST', 'OPTIONS'])
|
| 215 |
+
def analyze_impact():
|
| 216 |
+
"""Endpoint for impact assessment"""
|
| 217 |
+
if request.method == 'OPTIONS':
|
| 218 |
+
return '', 204
|
| 219 |
+
|
| 220 |
+
try:
|
| 221 |
+
data = request.json
|
| 222 |
+
query = data.get('query')
|
| 223 |
+
|
| 224 |
+
if not query:
|
| 225 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 226 |
+
|
| 227 |
+
# Run impact analysis in a separate thread
|
| 228 |
+
future = executor.submit(get_impact_data, query)
|
| 229 |
+
impact_info = future.result(timeout=60)
|
| 230 |
+
|
| 231 |
+
# Save the impact assessment output to a text file
|
| 232 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 233 |
+
f.write(str(impact_info))
|
| 234 |
+
|
| 235 |
+
return jsonify(impact_info)
|
| 236 |
+
|
| 237 |
+
except Exception as e:
|
| 238 |
+
logging.error(f"Error during impact assessment: {str(e)}")
|
| 239 |
+
return jsonify({'error': str(e)}), 500
|
| 240 |
+
|
| 241 |
+
@app.route('/api/market-assessment', methods=['POST', 'OPTIONS'])
|
| 242 |
+
def analyze_market():
|
| 243 |
+
"""Endpoint for market assessment"""
|
| 244 |
+
if request.method == 'OPTIONS':
|
| 245 |
+
return '', 204
|
| 246 |
+
|
| 247 |
+
try:
|
| 248 |
+
data = request.json
|
| 249 |
+
query = data.get('query')
|
| 250 |
+
|
| 251 |
+
if not query:
|
| 252 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 253 |
+
|
| 254 |
+
# Run market assessment in a separate thread
|
| 255 |
+
future = executor.submit(get_market_data, query)
|
| 256 |
+
market_info = future.result(timeout=60)
|
| 257 |
+
|
| 258 |
+
# Save the market assessment output to a text file
|
| 259 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 260 |
+
f.write(str(market_info))
|
| 261 |
+
|
| 262 |
+
return jsonify(market_info)
|
| 263 |
+
|
| 264 |
+
except Exception as e:
|
| 265 |
+
logging.error(f"Error during market assessment: {str(e)}")
|
| 266 |
+
return jsonify({'error': str(e)}), 500
|
| 267 |
+
|
| 268 |
+
@app.route('/api/swot-analysis', methods=['POST', 'OPTIONS'])
|
| 269 |
+
def analyze_swot():
|
| 270 |
+
"""Endpoint for SWOT analysis"""
|
| 271 |
+
if request.method == 'OPTIONS':
|
| 272 |
+
return '', 204
|
| 273 |
+
|
| 274 |
+
try:
|
| 275 |
+
data = request.json
|
| 276 |
+
query = data.get('query')
|
| 277 |
+
|
| 278 |
+
if not query:
|
| 279 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 280 |
+
|
| 281 |
+
# Run SWOT analysis in a separate thread
|
| 282 |
+
future = executor.submit(get_swot_data, query)
|
| 283 |
+
swot_info = future.result(timeout=60)
|
| 284 |
+
|
| 285 |
+
# Save the SWOT analysis output to a text file
|
| 286 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 287 |
+
f.write(str(swot_info))
|
| 288 |
+
|
| 289 |
+
return jsonify(swot_info)
|
| 290 |
+
|
| 291 |
+
except Exception as e:
|
| 292 |
+
logging.error(f"Error during SWOT analysis: {str(e)}")
|
| 293 |
+
return jsonify({'error': str(e)}), 500
|
| 294 |
+
|
| 295 |
+
if __name__ == '__main__':
|
| 296 |
+
try:
|
| 297 |
+
# Start the Flask app
|
| 298 |
+
app.run(port=5000, debug=True)
|
| 299 |
+
finally:
|
| 300 |
+
# Clean up resources
|
| 301 |
+
executor.shutdown(wait=True)
|
competitor_api.py
ADDED
|
@@ -0,0 +1,216 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
|
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|
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|
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|
|
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|
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|
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|
|
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|
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|
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|
|
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|
|
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|
|
|
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|
|
|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
import logging
|
| 2 |
+
from datetime import datetime
|
| 3 |
+
from firecrawl import FirecrawlApp
|
| 4 |
+
import google.generativeai as genai
|
| 5 |
+
import os
|
| 6 |
+
import time
|
| 7 |
+
from googlesearch import search
|
| 8 |
+
from flask import Flask, request, jsonify
|
| 9 |
+
from flask_cors import CORS
|
| 10 |
+
import requests
|
| 11 |
+
import uuid # Import uuid for unique file naming
|
| 12 |
+
|
| 13 |
+
# Initialize logging
|
| 14 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 15 |
+
|
| 16 |
+
# Initialize Firecrawl and Gemini
|
| 17 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 18 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 19 |
+
logging.info("Firecrawl initialized")
|
| 20 |
+
|
| 21 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 22 |
+
if GOOGLE_API_KEY:
|
| 23 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 24 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 25 |
+
logging.info("Gemini initialized")
|
| 26 |
+
|
| 27 |
+
def get_competitor_data(query):
|
| 28 |
+
"""
|
| 29 |
+
Get competitor data with improved rate limit handling
|
| 30 |
+
"""
|
| 31 |
+
logging.info(f"\n{'='*50}\nAnalyzing competitors for: {query}\n{'='*50}")
|
| 32 |
+
|
| 33 |
+
result = {
|
| 34 |
+
"main_competitors": [],
|
| 35 |
+
"competitor_strengths": [],
|
| 36 |
+
"key_findings": [],
|
| 37 |
+
"sources": []
|
| 38 |
+
}
|
| 39 |
+
|
| 40 |
+
def scrape_with_retry(url, section):
|
| 41 |
+
"""Helper function to scrape URL with retry logic"""
|
| 42 |
+
max_retries = 3
|
| 43 |
+
for attempt in range(max_retries):
|
| 44 |
+
try:
|
| 45 |
+
response = firecrawl_app.scrape_url(
|
| 46 |
+
url=url,
|
| 47 |
+
params={'formats': ['markdown']}
|
| 48 |
+
)
|
| 49 |
+
if response and response.get('markdown'):
|
| 50 |
+
result["sources"].append({
|
| 51 |
+
'url': url,
|
| 52 |
+
'domain': extract_domain(url),
|
| 53 |
+
'section': section,
|
| 54 |
+
'date': datetime.now().strftime("%Y-%m-%d")
|
| 55 |
+
})
|
| 56 |
+
return response.get('markdown')
|
| 57 |
+
except Exception as e:
|
| 58 |
+
if "429" in str(e):
|
| 59 |
+
wait_time = (attempt + 1) * 10 # Exponential backoff
|
| 60 |
+
logging.info(f"Rate limit hit, waiting {wait_time} seconds...")
|
| 61 |
+
time.sleep(wait_time)
|
| 62 |
+
continue
|
| 63 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 64 |
+
time.sleep(2) # Basic delay between attempts
|
| 65 |
+
return None
|
| 66 |
+
|
| 67 |
+
def search_with_retry(search_query):
|
| 68 |
+
"""Helper function to perform search with retry logic"""
|
| 69 |
+
max_retries = 3
|
| 70 |
+
for attempt in range(max_retries):
|
| 71 |
+
try:
|
| 72 |
+
return list(search(
|
| 73 |
+
search_query,
|
| 74 |
+
num_results=2, # Reduced number
|
| 75 |
+
lang="en"
|
| 76 |
+
))
|
| 77 |
+
except Exception as e:
|
| 78 |
+
if "429" in str(e):
|
| 79 |
+
wait_time = (attempt + 1) * 10
|
| 80 |
+
logging.info(f"Search rate limit hit, waiting {wait_time} seconds...")
|
| 81 |
+
time.sleep(wait_time)
|
| 82 |
+
continue
|
| 83 |
+
logging.error(f"Search error: {str(e)}")
|
| 84 |
+
break
|
| 85 |
+
return []
|
| 86 |
+
|
| 87 |
+
# Create directory for output files
|
| 88 |
+
output_dir = 'gemini_outputs'
|
| 89 |
+
os.makedirs(output_dir, exist_ok=True)
|
| 90 |
+
|
| 91 |
+
# Phase 1: Top Competitors
|
| 92 |
+
logging.info("\nPhase 1: Getting Top Competitors")
|
| 93 |
+
search_query = f"top competitors of {query} list"
|
| 94 |
+
urls = search_with_retry(search_query)
|
| 95 |
+
|
| 96 |
+
if urls:
|
| 97 |
+
content = scrape_with_retry(urls[0], 'Top Competitors')
|
| 98 |
+
if content:
|
| 99 |
+
prompt = f"""
|
| 100 |
+
Analyze this content and list the top 5 competitors of {query}.
|
| 101 |
+
Format each competitor as: [Name] - [Brief description]
|
| 102 |
+
Content: {content}
|
| 103 |
+
"""
|
| 104 |
+
try:
|
| 105 |
+
competitors = model.generate_content(prompt).text
|
| 106 |
+
result["main_competitors"] = extract_section(competitors, "")
|
| 107 |
+
logging.info(f"Found competitors: {result['main_competitors']}")
|
| 108 |
+
|
| 109 |
+
# Create output file for competitors
|
| 110 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'w') as f:
|
| 111 |
+
f.write(competitors)
|
| 112 |
+
|
| 113 |
+
except Exception as e:
|
| 114 |
+
logging.error(f"Error in Gemini analysis: {str(e)}")
|
| 115 |
+
|
| 116 |
+
time.sleep(5) # Delay between phases
|
| 117 |
+
|
| 118 |
+
# Phase 2: Competitor Strengths
|
| 119 |
+
logging.info("\nPhase 2: Getting Competitor Strengths")
|
| 120 |
+
search_query = f"{query} competitors strengths advantages"
|
| 121 |
+
urls = search_with_retry(search_query)
|
| 122 |
+
|
| 123 |
+
if urls:
|
| 124 |
+
content = scrape_with_retry(urls[0], 'Competitor Strengths')
|
| 125 |
+
if content:
|
| 126 |
+
prompt = f"""
|
| 127 |
+
List the key strengths of {query}'s main competitors.
|
| 128 |
+
Format as: [Competitor Name]: [Key strength]
|
| 129 |
+
Content: {content}
|
| 130 |
+
"""
|
| 131 |
+
try:
|
| 132 |
+
strengths = model.generate_content(prompt).text
|
| 133 |
+
result["competitor_strengths"] = extract_section(strengths, "")
|
| 134 |
+
logging.info(f"Found strengths: {result['competitor_strengths']}")
|
| 135 |
+
|
| 136 |
+
# Create output file for strengths
|
| 137 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 138 |
+
f.write(strengths)
|
| 139 |
+
|
| 140 |
+
except Exception as e:
|
| 141 |
+
logging.error(f"Error in Gemini analysis: {str(e)}")
|
| 142 |
+
|
| 143 |
+
time.sleep(5) # Delay between phases
|
| 144 |
+
|
| 145 |
+
# Phase 3: Key Findings
|
| 146 |
+
logging.info("\nPhase 3: Getting Key Findings")
|
| 147 |
+
search_query = f"{query} competitive landscape analysis"
|
| 148 |
+
urls = search_with_retry(search_query)
|
| 149 |
+
|
| 150 |
+
if urls:
|
| 151 |
+
content = scrape_with_retry(urls[0], 'Key Findings')
|
| 152 |
+
if content:
|
| 153 |
+
prompt = f"""
|
| 154 |
+
Provide 2-3 key insights about {query}'s competitive landscape.
|
| 155 |
+
Format as numbered points.
|
| 156 |
+
Content: {content}
|
| 157 |
+
"""
|
| 158 |
+
try:
|
| 159 |
+
findings = model.generate_content(prompt).text
|
| 160 |
+
result["key_findings"] = extract_section(findings, "")
|
| 161 |
+
logging.info(f"Found key findings: {findings}")
|
| 162 |
+
|
| 163 |
+
# Create output file for findings
|
| 164 |
+
with open(os.path.join(output_dir, 'compitoone.txt'), 'a') as f:
|
| 165 |
+
f.write(findings)
|
| 166 |
+
|
| 167 |
+
except Exception as e:
|
| 168 |
+
logging.error(f"Error in Gemini analysis: {str(e)}")
|
| 169 |
+
|
| 170 |
+
# Return fallback if no data found
|
| 171 |
+
if not any([result["main_competitors"], result["competitor_strengths"], result["key_findings"]]):
|
| 172 |
+
return create_empty_response()
|
| 173 |
+
|
| 174 |
+
return result
|
| 175 |
+
|
| 176 |
+
def extract_section(text, section_name):
|
| 177 |
+
"""Extract content from a specific section"""
|
| 178 |
+
try:
|
| 179 |
+
# Find section
|
| 180 |
+
start = text.find(section_name + ":")
|
| 181 |
+
if start == -1:
|
| 182 |
+
return []
|
| 183 |
+
|
| 184 |
+
# Find next section or end
|
| 185 |
+
next_section = float('inf')
|
| 186 |
+
for section in ["TOP COMPETITORS:", "COMPETITOR STRENGTHS:", "KEY FINDINGS:"]:
|
| 187 |
+
if section != section_name + ":":
|
| 188 |
+
pos = text.find(section, start + len(section_name))
|
| 189 |
+
if pos != -1:
|
| 190 |
+
next_section = min(next_section, pos)
|
| 191 |
+
|
| 192 |
+
# Extract content
|
| 193 |
+
content = text[start + len(section_name) + 1:next_section if next_section != float('inf') else None]
|
| 194 |
+
|
| 195 |
+
# Split into lines and clean
|
| 196 |
+
lines = [line.strip() for line in content.strip().split('\n') if line.strip()]
|
| 197 |
+
return lines
|
| 198 |
+
except Exception as e:
|
| 199 |
+
logging.error(f"Error extracting {section_name}: {str(e)}")
|
| 200 |
+
return []
|
| 201 |
+
|
| 202 |
+
def extract_domain(url):
|
| 203 |
+
"""Extract domain from a URL"""
|
| 204 |
+
try:
|
| 205 |
+
return url.split('/')[2]
|
| 206 |
+
except Exception as e:
|
| 207 |
+
logging.error(f"Error extracting domain: {str(e)}")
|
| 208 |
+
return ""
|
| 209 |
+
|
| 210 |
+
def create_empty_response():
|
| 211 |
+
return {
|
| 212 |
+
"main_competitors": [],
|
| 213 |
+
"competitor_strengths": [],
|
| 214 |
+
"key_findings": [],
|
| 215 |
+
"sources": []
|
| 216 |
+
}
|
feature_api.py
ADDED
|
@@ -0,0 +1,239 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
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|
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|
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|
|
|
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|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
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|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import logging
|
| 2 |
+
from datetime import datetime
|
| 3 |
+
from firecrawl import FirecrawlApp
|
| 4 |
+
import json
|
| 5 |
+
import os
|
| 6 |
+
import requests
|
| 7 |
+
import time
|
| 8 |
+
import google.generativeai as genai
|
| 9 |
+
|
| 10 |
+
# Initialize logging
|
| 11 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 12 |
+
|
| 13 |
+
# Initialize Firecrawl
|
| 14 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 15 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 16 |
+
logging.info("Firecrawl initialized")
|
| 17 |
+
|
| 18 |
+
# Initialize Gemini
|
| 19 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 20 |
+
if GOOGLE_API_KEY:
|
| 21 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 22 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 23 |
+
logging.info("Gemini initialized")
|
| 24 |
+
else:
|
| 25 |
+
logging.warning("No Gemini API key found")
|
| 26 |
+
|
| 27 |
+
# Create a folder to store Gemini outputs
|
| 28 |
+
output_folder = 'gemini_outputs'
|
| 29 |
+
os.makedirs(output_folder, exist_ok=True)
|
| 30 |
+
|
| 31 |
+
def extract_domain(url):
|
| 32 |
+
"""Extract domain name from URL"""
|
| 33 |
+
try:
|
| 34 |
+
from urllib.parse import urlparse
|
| 35 |
+
domain = urlparse(url).netloc
|
| 36 |
+
return domain.replace('www.', '')
|
| 37 |
+
except:
|
| 38 |
+
return url
|
| 39 |
+
|
| 40 |
+
def get_feature_data(business_query):
|
| 41 |
+
"""Get feature priority data using custom search API and Firecrawl"""
|
| 42 |
+
logging.info(f"\n{'='*50}\nGathering feature data for: {business_query}\n{'='*50}")
|
| 43 |
+
|
| 44 |
+
result = {
|
| 45 |
+
"social_impact": [],
|
| 46 |
+
"economic_impact": [],
|
| 47 |
+
"environmental_impact": [],
|
| 48 |
+
"implementation_priority": [],
|
| 49 |
+
"sources": []
|
| 50 |
+
}
|
| 51 |
+
|
| 52 |
+
search_queries = [
|
| 53 |
+
f"{business_query} product features analysis",
|
| 54 |
+
f"{business_query} feature prioritization",
|
| 55 |
+
f"{business_query} product roadmap",
|
| 56 |
+
f"{business_query} user requirements",
|
| 57 |
+
f"{business_query} product development priorities"
|
| 58 |
+
]
|
| 59 |
+
|
| 60 |
+
scraped_content = []
|
| 61 |
+
max_attempts = 2
|
| 62 |
+
|
| 63 |
+
for query in search_queries:
|
| 64 |
+
try:
|
| 65 |
+
logging.info(f"\nSearching for: {query}")
|
| 66 |
+
search_results = custom_search_api(query)
|
| 67 |
+
attempts = 0
|
| 68 |
+
|
| 69 |
+
for url in search_results:
|
| 70 |
+
if attempts >= max_attempts:
|
| 71 |
+
break
|
| 72 |
+
|
| 73 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 74 |
+
try:
|
| 75 |
+
logging.info(f"Scraping: {url}")
|
| 76 |
+
response = firecrawl_app.scrape_url(
|
| 77 |
+
url=url,
|
| 78 |
+
params={'formats': ['markdown']}
|
| 79 |
+
)
|
| 80 |
+
|
| 81 |
+
if response and 'markdown' in response:
|
| 82 |
+
content = response['markdown']
|
| 83 |
+
if len(content) > 200:
|
| 84 |
+
logging.info("Successfully scraped content")
|
| 85 |
+
scraped_content.append({
|
| 86 |
+
'url': url,
|
| 87 |
+
'domain': extract_domain(url),
|
| 88 |
+
'section': 'Feature Analysis',
|
| 89 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 90 |
+
'content': content[:1000]
|
| 91 |
+
})
|
| 92 |
+
break
|
| 93 |
+
except Exception as e:
|
| 94 |
+
if "402" in str(e):
|
| 95 |
+
logging.warning(f"Firecrawl credit limit reached for {url}")
|
| 96 |
+
scraped_content.append({
|
| 97 |
+
'url': url,
|
| 98 |
+
'domain': extract_domain(url),
|
| 99 |
+
'section': 'Feature Analysis (Limited)',
|
| 100 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 101 |
+
'content': f"Content from {extract_domain(url)} about {business_query}'s features"
|
| 102 |
+
})
|
| 103 |
+
else:
|
| 104 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 105 |
+
attempts += 1
|
| 106 |
+
continue
|
| 107 |
+
|
| 108 |
+
time.sleep(2)
|
| 109 |
+
|
| 110 |
+
except Exception as e:
|
| 111 |
+
logging.error(f"Error in search: {str(e)}")
|
| 112 |
+
continue
|
| 113 |
+
|
| 114 |
+
if scraped_content:
|
| 115 |
+
try:
|
| 116 |
+
prompt = f"""
|
| 117 |
+
Analyze this content about {business_query}'s features and create a detailed priority analysis.
|
| 118 |
+
|
| 119 |
+
Content to analyze:
|
| 120 |
+
{[item['content'] for item in scraped_content]}
|
| 121 |
+
|
| 122 |
+
Provide a structured analysis with these exact sections:
|
| 123 |
+
|
| 124 |
+
SOCIAL IMPACT:
|
| 125 |
+
• Community Benefits
|
| 126 |
+
• Employment Impact
|
| 127 |
+
• Social Value
|
| 128 |
+
|
| 129 |
+
ECONOMIC IMPACT:
|
| 130 |
+
• Revenue Generation
|
| 131 |
+
• Market Growth
|
| 132 |
+
• Innovation Impact
|
| 133 |
+
|
| 134 |
+
ENVIRONMENTAL IMPACT:
|
| 135 |
+
• Sustainability
|
| 136 |
+
• Resource Usage
|
| 137 |
+
• Carbon Footprint
|
| 138 |
+
|
| 139 |
+
IMPLEMENTATION PRIORITY:
|
| 140 |
+
• Timeline
|
| 141 |
+
• Resources
|
| 142 |
+
• Success Metrics
|
| 143 |
+
|
| 144 |
+
Use factual information where available, mark inferences with (Inferred).
|
| 145 |
+
Format each point as a clear, actionable item.
|
| 146 |
+
"""
|
| 147 |
+
|
| 148 |
+
response = model.generate_content(prompt)
|
| 149 |
+
analysis = response.text
|
| 150 |
+
|
| 151 |
+
# Save Gemini output to a text file
|
| 152 |
+
output_file_path = os.path.join(output_folder, 'compitoone.txt')
|
| 153 |
+
with open(output_file_path, 'w') as output_file:
|
| 154 |
+
output_file.write(analysis)
|
| 155 |
+
logging.info(f"Gemini output saved to {output_file_path}")
|
| 156 |
+
|
| 157 |
+
# Extract sections
|
| 158 |
+
result["social_impact"] = extract_section(analysis, "SOCIAL IMPACT")
|
| 159 |
+
result["economic_impact"] = extract_section(analysis, "ECONOMIC IMPACT")
|
| 160 |
+
result["environmental_impact"] = extract_section(analysis, "ENVIRONMENTAL IMPACT")
|
| 161 |
+
result["implementation_priority"] = extract_section(analysis, "IMPLEMENTATION PRIORITY")
|
| 162 |
+
|
| 163 |
+
# Add sources
|
| 164 |
+
result["sources"] = [{
|
| 165 |
+
'url': item['url'],
|
| 166 |
+
'domain': item['domain'],
|
| 167 |
+
'section': item['section'],
|
| 168 |
+
'date': item['date']
|
| 169 |
+
} for item in scraped_content]
|
| 170 |
+
|
| 171 |
+
return result
|
| 172 |
+
|
| 173 |
+
except Exception as e:
|
| 174 |
+
logging.error(f"Error generating analysis: {str(e)}")
|
| 175 |
+
return generate_fallback_response(business_query)
|
| 176 |
+
|
| 177 |
+
return generate_fallback_response(business_query)
|
| 178 |
+
|
| 179 |
+
def custom_search_api(query):
|
| 180 |
+
"""Perform a custom search using the Google Custom Search API"""
|
| 181 |
+
api_key = "AIzaSyAxeLlJ6vZxOl-TblUJg_dInBS3vNxaFVY"
|
| 182 |
+
search_engine_id = "37793b12975da4e35"
|
| 183 |
+
url = f"https://www.googleapis.com/customsearch/v1?key={api_key}&cx={search_engine_id}&q={query}&num=2"
|
| 184 |
+
|
| 185 |
+
response = requests.get(url)
|
| 186 |
+
if response.status_code == 200:
|
| 187 |
+
search_results = response.json().get('items', [])
|
| 188 |
+
return [item['link'] for item in search_results]
|
| 189 |
+
else:
|
| 190 |
+
logging.error(f"Error in custom search API: {response.status_code} - {response.text}")
|
| 191 |
+
return []
|
| 192 |
+
|
| 193 |
+
def extract_section(text, section_name):
|
| 194 |
+
"""Extract content from a specific section"""
|
| 195 |
+
try:
|
| 196 |
+
lines = []
|
| 197 |
+
in_section = False
|
| 198 |
+
|
| 199 |
+
for line in text.split('\n'):
|
| 200 |
+
if section_name + ":" in line:
|
| 201 |
+
in_section = True
|
| 202 |
+
continue
|
| 203 |
+
elif any(s + ":" in line for s in ["SOCIAL IMPACT", "ECONOMIC IMPACT", "ENVIRONMENTAL IMPACT", "IMPLEMENTATION PRIORITY"]):
|
| 204 |
+
in_section = False
|
| 205 |
+
elif in_section and line.strip():
|
| 206 |
+
cleaned_line = line.strip('- *').strip()
|
| 207 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 208 |
+
lines.append(cleaned_line)
|
| 209 |
+
|
| 210 |
+
return lines
|
| 211 |
+
except Exception as e:
|
| 212 |
+
logging.error(f"Error extracting section {section_name}: {str(e)}")
|
| 213 |
+
return []
|
| 214 |
+
|
| 215 |
+
def generate_fallback_response(business_query):
|
| 216 |
+
"""Generate basic feature priority analysis when no data is found"""
|
| 217 |
+
return {
|
| 218 |
+
"social_impact": [
|
| 219 |
+
f"Community impact assessment for {business_query} pending (Inferred)",
|
| 220 |
+
"Employment effects to be evaluated (Inferred)",
|
| 221 |
+
"Social value contribution potential (Inferred)"
|
| 222 |
+
],
|
| 223 |
+
"economic_impact": [
|
| 224 |
+
"Revenue potential being assessed (Inferred)",
|
| 225 |
+
"Market growth opportunities pending analysis (Inferred)",
|
| 226 |
+
"Innovation impact to be determined (Inferred)"
|
| 227 |
+
],
|
| 228 |
+
"environmental_impact": [
|
| 229 |
+
"Sustainability initiatives to be evaluated (Inferred)",
|
| 230 |
+
"Resource usage assessment pending (Inferred)",
|
| 231 |
+
"Carbon footprint analysis needed (Inferred)"
|
| 232 |
+
],
|
| 233 |
+
"implementation_priority": [
|
| 234 |
+
"Timeline development in progress (Inferred)",
|
| 235 |
+
"Resource requirements being assessed (Inferred)",
|
| 236 |
+
"Success metrics to be defined (Inferred)"
|
| 237 |
+
],
|
| 238 |
+
"sources": []
|
| 239 |
+
}
|
feedback_api.py
ADDED
|
@@ -0,0 +1,230 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import logging
|
| 2 |
+
from datetime import datetime
|
| 3 |
+
from firecrawl import FirecrawlApp
|
| 4 |
+
import json
|
| 5 |
+
import os
|
| 6 |
+
import requests
|
| 7 |
+
import time
|
| 8 |
+
import google.generativeai as genai
|
| 9 |
+
|
| 10 |
+
# Initialize logging
|
| 11 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 12 |
+
|
| 13 |
+
# Initialize Firecrawl
|
| 14 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 15 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 16 |
+
logging.info("Firecrawl initialized")
|
| 17 |
+
|
| 18 |
+
# Initialize Gemini
|
| 19 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 20 |
+
if GOOGLE_API_KEY:
|
| 21 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 22 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 23 |
+
logging.info("Gemini initialized")
|
| 24 |
+
else:
|
| 25 |
+
logging.warning("No Gemini API key found")
|
| 26 |
+
|
| 27 |
+
# Create a folder to store Gemini outputs
|
| 28 |
+
output_folder = 'gemini_outputs'
|
| 29 |
+
os.makedirs(output_folder, exist_ok=True)
|
| 30 |
+
|
| 31 |
+
def extract_domain(url):
|
| 32 |
+
"""Extract domain name from URL"""
|
| 33 |
+
try:
|
| 34 |
+
from urllib.parse import urlparse
|
| 35 |
+
domain = urlparse(url).netloc
|
| 36 |
+
return domain.replace('www.', '')
|
| 37 |
+
except:
|
| 38 |
+
return url
|
| 39 |
+
|
| 40 |
+
def get_feedback_data(business_query):
|
| 41 |
+
"""Get feedback analysis data using custom search API and Firecrawl"""
|
| 42 |
+
logging.info(f"\n{'='*50}\nGathering feedback data for: {business_query}\n{'='*50}")
|
| 43 |
+
|
| 44 |
+
result = {
|
| 45 |
+
"satisfaction_metrics": [],
|
| 46 |
+
"product_feedback": [],
|
| 47 |
+
"service_feedback": [],
|
| 48 |
+
"recommendations": [],
|
| 49 |
+
"sources": []
|
| 50 |
+
}
|
| 51 |
+
|
| 52 |
+
search_queries = [
|
| 53 |
+
f"{business_query} customer reviews analysis",
|
| 54 |
+
f"{business_query} customer feedback summary",
|
| 55 |
+
f"{business_query} user satisfaction",
|
| 56 |
+
f"{business_query} customer complaints",
|
| 57 |
+
f"{business_query} customer experience reviews"
|
| 58 |
+
]
|
| 59 |
+
|
| 60 |
+
scraped_content = []
|
| 61 |
+
max_attempts = 2
|
| 62 |
+
search_api_key = "AIzaSyAxeLlJ6vZxOl-TblUJg_dInBS3vNxaFVY"
|
| 63 |
+
search_engine_id = "37793b12975da4e35"
|
| 64 |
+
|
| 65 |
+
for query in search_queries:
|
| 66 |
+
try:
|
| 67 |
+
logging.info(f"\nSearching for: {query}")
|
| 68 |
+
search_url = f"https://www.googleapis.com/customsearch/v1?key={search_api_key}&cx={search_engine_id}&q={query}&num=2"
|
| 69 |
+
response = requests.get(search_url)
|
| 70 |
+
search_results = response.json().get('items', [])
|
| 71 |
+
attempts = 0
|
| 72 |
+
|
| 73 |
+
for item in search_results:
|
| 74 |
+
url = item['link']
|
| 75 |
+
if attempts >= max_attempts:
|
| 76 |
+
break
|
| 77 |
+
|
| 78 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 79 |
+
try:
|
| 80 |
+
logging.info(f"Scraping: {url}")
|
| 81 |
+
response = firecrawl_app.scrape_url(
|
| 82 |
+
url=url,
|
| 83 |
+
params={'formats': ['markdown']}
|
| 84 |
+
)
|
| 85 |
+
|
| 86 |
+
if response and 'markdown' in response:
|
| 87 |
+
content = response['markdown']
|
| 88 |
+
if len(content) > 200:
|
| 89 |
+
logging.info("Successfully scraped content")
|
| 90 |
+
scraped_content.append({
|
| 91 |
+
'url': url,
|
| 92 |
+
'domain': extract_domain(url),
|
| 93 |
+
'section': 'Feedback Analysis',
|
| 94 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 95 |
+
'content': content[:1000]
|
| 96 |
+
})
|
| 97 |
+
break
|
| 98 |
+
except Exception as e:
|
| 99 |
+
if "402" in str(e):
|
| 100 |
+
logging.warning(f"Firecrawl credit limit reached for {url}")
|
| 101 |
+
scraped_content.append({
|
| 102 |
+
'url': url,
|
| 103 |
+
'domain': extract_domain(url),
|
| 104 |
+
'section': 'Feedback Analysis (Limited)',
|
| 105 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 106 |
+
'content': f"Content from {extract_domain(url)} about {business_query}'s feedback"
|
| 107 |
+
})
|
| 108 |
+
else:
|
| 109 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 110 |
+
attempts += 1
|
| 111 |
+
continue
|
| 112 |
+
|
| 113 |
+
time.sleep(2)
|
| 114 |
+
|
| 115 |
+
except Exception as e:
|
| 116 |
+
logging.error(f"Error in search: {str(e)}")
|
| 117 |
+
continue
|
| 118 |
+
|
| 119 |
+
if scraped_content:
|
| 120 |
+
try:
|
| 121 |
+
prompt = f"""
|
| 122 |
+
Analyze this content about {business_query}'s customer feedback and create a detailed analysis.
|
| 123 |
+
|
| 124 |
+
Content to analyze:
|
| 125 |
+
{[item['content'] for item in scraped_content]}
|
| 126 |
+
|
| 127 |
+
Provide a structured analysis with these exact sections:
|
| 128 |
+
|
| 129 |
+
SATISFACTION METRICS:
|
| 130 |
+
• Overall Rating
|
| 131 |
+
• Key Drivers
|
| 132 |
+
• Improvement Areas
|
| 133 |
+
|
| 134 |
+
PRODUCT FEEDBACK:
|
| 135 |
+
• Features
|
| 136 |
+
• Quality
|
| 137 |
+
• Usability
|
| 138 |
+
|
| 139 |
+
SERVICE FEEDBACK:
|
| 140 |
+
• Support Quality
|
| 141 |
+
• Response Time
|
| 142 |
+
• Resolution Rate
|
| 143 |
+
|
| 144 |
+
RECOMMENDATIONS:
|
| 145 |
+
• Quick Wins
|
| 146 |
+
• Long-term Goals
|
| 147 |
+
• Priority Actions
|
| 148 |
+
|
| 149 |
+
Use factual information where available, mark inferences with (Inferred).
|
| 150 |
+
Format each point as a clear, actionable item.
|
| 151 |
+
"""
|
| 152 |
+
|
| 153 |
+
response = model.generate_content(prompt)
|
| 154 |
+
analysis = response.text
|
| 155 |
+
|
| 156 |
+
# Save Gemini output to a text file
|
| 157 |
+
output_file_path = os.path.join(output_folder, 'compitoone.txt')
|
| 158 |
+
with open(output_file_path, 'w') as output_file:
|
| 159 |
+
output_file.write(analysis)
|
| 160 |
+
logging.info(f"Gemini output saved to {output_file_path}")
|
| 161 |
+
|
| 162 |
+
# Extract sections
|
| 163 |
+
result["satisfaction_metrics"] = extract_section(analysis, "SATISFACTION METRICS")
|
| 164 |
+
result["product_feedback"] = extract_section(analysis, "PRODUCT FEEDBACK")
|
| 165 |
+
result["service_feedback"] = extract_section(analysis, "SERVICE FEEDBACK")
|
| 166 |
+
result["recommendations"] = extract_section(analysis, "RECOMMENDATIONS")
|
| 167 |
+
|
| 168 |
+
# Add sources
|
| 169 |
+
result["sources"] = [{
|
| 170 |
+
'url': item['url'],
|
| 171 |
+
'domain': item['domain'],
|
| 172 |
+
'section': item['section'],
|
| 173 |
+
'date': item['date']
|
| 174 |
+
} for item in scraped_content]
|
| 175 |
+
|
| 176 |
+
return result
|
| 177 |
+
|
| 178 |
+
except Exception as e:
|
| 179 |
+
logging.error(f"Error generating analysis: {str(e)}")
|
| 180 |
+
return generate_fallback_response(business_query)
|
| 181 |
+
|
| 182 |
+
return generate_fallback_response(business_query)
|
| 183 |
+
|
| 184 |
+
def extract_section(text, section_name):
|
| 185 |
+
"""Extract content from a specific section"""
|
| 186 |
+
try:
|
| 187 |
+
lines = []
|
| 188 |
+
in_section = False
|
| 189 |
+
|
| 190 |
+
for line in text.split('\n'):
|
| 191 |
+
if section_name + ":" in line:
|
| 192 |
+
in_section = True
|
| 193 |
+
continue
|
| 194 |
+
elif any(s + ":" in line for s in ["SATISFACTION METRICS", "PRODUCT FEEDBACK", "SERVICE FEEDBACK", "RECOMMENDATIONS"]):
|
| 195 |
+
in_section = False
|
| 196 |
+
elif in_section and line.strip():
|
| 197 |
+
cleaned_line = line.strip('- *').strip()
|
| 198 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 199 |
+
lines.append(cleaned_line)
|
| 200 |
+
|
| 201 |
+
return lines
|
| 202 |
+
except Exception as e:
|
| 203 |
+
logging.error(f"Error extracting section {section_name}: {str(e)}")
|
| 204 |
+
return []
|
| 205 |
+
|
| 206 |
+
def generate_fallback_response(business_query):
|
| 207 |
+
"""Generate basic feedback analysis when no data is found"""
|
| 208 |
+
return {
|
| 209 |
+
"satisfaction_metrics": [
|
| 210 |
+
f"Overall satisfaction metrics for {business_query} pending (Inferred)",
|
| 211 |
+
"Key satisfaction drivers to be identified (Inferred)",
|
| 212 |
+
"Areas for improvement being assessed (Inferred)"
|
| 213 |
+
],
|
| 214 |
+
"product_feedback": [
|
| 215 |
+
"Feature effectiveness evaluation needed (Inferred)",
|
| 216 |
+
"Quality metrics assessment pending (Inferred)",
|
| 217 |
+
"Usability feedback to be collected (Inferred)"
|
| 218 |
+
],
|
| 219 |
+
"service_feedback": [
|
| 220 |
+
"Support quality measurement needed (Inferred)",
|
| 221 |
+
"Response time analysis pending (Inferred)",
|
| 222 |
+
"Resolution rate to be evaluated (Inferred)"
|
| 223 |
+
],
|
| 224 |
+
"recommendations": [
|
| 225 |
+
"Quick win opportunities being identified (Inferred)",
|
| 226 |
+
"Long-term improvement goals pending (Inferred)",
|
| 227 |
+
"Priority actions to be determined (Inferred)"
|
| 228 |
+
],
|
| 229 |
+
"sources": []
|
| 230 |
+
}
|
gap_api.py
ADDED
|
@@ -0,0 +1,230 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import logging
|
| 2 |
+
from datetime import datetime
|
| 3 |
+
from firecrawl import FirecrawlApp
|
| 4 |
+
import json
|
| 5 |
+
import os
|
| 6 |
+
import requests
|
| 7 |
+
import time
|
| 8 |
+
import google.generativeai as genai
|
| 9 |
+
|
| 10 |
+
# Initialize logging
|
| 11 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 12 |
+
|
| 13 |
+
# Initialize Firecrawl
|
| 14 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 15 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 16 |
+
logging.info("Firecrawl initialized")
|
| 17 |
+
|
| 18 |
+
# Initialize Gemini
|
| 19 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 20 |
+
if GOOGLE_API_KEY:
|
| 21 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 22 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 23 |
+
logging.info("Gemini initialized")
|
| 24 |
+
else:
|
| 25 |
+
logging.warning("No Gemini API key found")
|
| 26 |
+
|
| 27 |
+
# Create a folder to store Gemini outputs
|
| 28 |
+
output_folder = 'gemini_outputs'
|
| 29 |
+
os.makedirs(output_folder, exist_ok=True)
|
| 30 |
+
|
| 31 |
+
def extract_domain(url):
|
| 32 |
+
"""Extract domain name from URL"""
|
| 33 |
+
try:
|
| 34 |
+
from urllib.parse import urlparse
|
| 35 |
+
domain = urlparse(url).netloc
|
| 36 |
+
return domain.replace('www.', '')
|
| 37 |
+
except:
|
| 38 |
+
return url
|
| 39 |
+
|
| 40 |
+
def get_gap_data(business_query):
|
| 41 |
+
"""Get gap analysis data using custom search API and Firecrawl"""
|
| 42 |
+
logging.info(f"\n{'='*50}\nGathering gap data for: {business_query}\n{'='*50}")
|
| 43 |
+
|
| 44 |
+
result = {
|
| 45 |
+
"current_state": [],
|
| 46 |
+
"desired_state": [],
|
| 47 |
+
"identified_gaps": [],
|
| 48 |
+
"recommendations": [],
|
| 49 |
+
"sources": []
|
| 50 |
+
}
|
| 51 |
+
|
| 52 |
+
search_queries = [
|
| 53 |
+
f"{business_query} business performance analysis",
|
| 54 |
+
f"{business_query} market position analysis",
|
| 55 |
+
f"{business_query} business challenges",
|
| 56 |
+
f"{business_query} growth opportunities",
|
| 57 |
+
f"{business_query} business improvement areas"
|
| 58 |
+
]
|
| 59 |
+
|
| 60 |
+
scraped_content = []
|
| 61 |
+
max_attempts = 2
|
| 62 |
+
search_api_key = "AIzaSyAxeLlJ6vZxOl-TblUJg_dInBS3vNxaFVY"
|
| 63 |
+
search_engine_id = "37793b12975da4e35"
|
| 64 |
+
|
| 65 |
+
for query in search_queries:
|
| 66 |
+
try:
|
| 67 |
+
logging.info(f"\nSearching for: {query}")
|
| 68 |
+
search_url = f"https://www.googleapis.com/customsearch/v1?key={search_api_key}&cx={search_engine_id}&q={query}&num=2"
|
| 69 |
+
response = requests.get(search_url)
|
| 70 |
+
search_results = response.json().get('items', [])
|
| 71 |
+
attempts = 0
|
| 72 |
+
|
| 73 |
+
for item in search_results:
|
| 74 |
+
url = item['link']
|
| 75 |
+
if attempts >= max_attempts:
|
| 76 |
+
break
|
| 77 |
+
|
| 78 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 79 |
+
try:
|
| 80 |
+
logging.info(f"Scraping: {url}")
|
| 81 |
+
response = firecrawl_app.scrape_url(
|
| 82 |
+
url=url,
|
| 83 |
+
params={'formats': ['markdown']}
|
| 84 |
+
)
|
| 85 |
+
|
| 86 |
+
if response and 'markdown' in response:
|
| 87 |
+
content = response['markdown']
|
| 88 |
+
if len(content) > 200:
|
| 89 |
+
logging.info("Successfully scraped content")
|
| 90 |
+
scraped_content.append({
|
| 91 |
+
'url': url,
|
| 92 |
+
'domain': extract_domain(url),
|
| 93 |
+
'section': 'Gap Analysis',
|
| 94 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 95 |
+
'content': content[:1000]
|
| 96 |
+
})
|
| 97 |
+
break
|
| 98 |
+
except Exception as e:
|
| 99 |
+
if "402" in str(e):
|
| 100 |
+
logging.warning(f"Firecrawl credit limit reached for {url}")
|
| 101 |
+
scraped_content.append({
|
| 102 |
+
'url': url,
|
| 103 |
+
'domain': extract_domain(url),
|
| 104 |
+
'section': 'Gap Analysis (Limited)',
|
| 105 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 106 |
+
'content': f"Content from {extract_domain(url)} about {business_query}'s gaps"
|
| 107 |
+
})
|
| 108 |
+
else:
|
| 109 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 110 |
+
attempts += 1
|
| 111 |
+
continue
|
| 112 |
+
|
| 113 |
+
time.sleep(2)
|
| 114 |
+
|
| 115 |
+
except Exception as e:
|
| 116 |
+
logging.error(f"Error in search: {str(e)}")
|
| 117 |
+
continue
|
| 118 |
+
|
| 119 |
+
if scraped_content:
|
| 120 |
+
try:
|
| 121 |
+
prompt = f"""
|
| 122 |
+
Analyze this content about {business_query} and create a detailed gap analysis.
|
| 123 |
+
|
| 124 |
+
Content to analyze:
|
| 125 |
+
{[item['content'] for item in scraped_content]}
|
| 126 |
+
|
| 127 |
+
Provide a structured analysis with these exact sections:
|
| 128 |
+
|
| 129 |
+
CURRENT STATE:
|
| 130 |
+
• List current performance metrics
|
| 131 |
+
• List available resources
|
| 132 |
+
• List market position
|
| 133 |
+
|
| 134 |
+
DESIRED STATE:
|
| 135 |
+
• List target objectives
|
| 136 |
+
• List required capabilities
|
| 137 |
+
• List market aspirations
|
| 138 |
+
|
| 139 |
+
IDENTIFIED GAPS:
|
| 140 |
+
• List performance gaps
|
| 141 |
+
• List resource gaps
|
| 142 |
+
• List market position gaps
|
| 143 |
+
|
| 144 |
+
RECOMMENDATIONS:
|
| 145 |
+
• List action items
|
| 146 |
+
• List resource needs
|
| 147 |
+
• List timeline phases
|
| 148 |
+
|
| 149 |
+
Use factual information where available, mark inferences with (Inferred).
|
| 150 |
+
Format each point as a clear, actionable item.
|
| 151 |
+
"""
|
| 152 |
+
|
| 153 |
+
response = model.generate_content(prompt)
|
| 154 |
+
analysis = response.text
|
| 155 |
+
|
| 156 |
+
# Save Gemini output to a text file
|
| 157 |
+
output_file_path = os.path.join(output_folder, 'compitoone.txt')
|
| 158 |
+
with open(output_file_path, 'w') as output_file:
|
| 159 |
+
output_file.write(analysis)
|
| 160 |
+
logging.info(f"Gemini output saved to {output_file_path}")
|
| 161 |
+
|
| 162 |
+
# Extract sections
|
| 163 |
+
result["current_state"] = extract_section(analysis, "CURRENT STATE")
|
| 164 |
+
result["desired_state"] = extract_section(analysis, "DESIRED STATE")
|
| 165 |
+
result["identified_gaps"] = extract_section(analysis, "IDENTIFIED GAPS")
|
| 166 |
+
result["recommendations"] = extract_section(analysis, "RECOMMENDATIONS")
|
| 167 |
+
|
| 168 |
+
# Add sources
|
| 169 |
+
result["sources"] = [{
|
| 170 |
+
'url': item['url'],
|
| 171 |
+
'domain': item['domain'],
|
| 172 |
+
'section': item['section'],
|
| 173 |
+
'date': item['date']
|
| 174 |
+
} for item in scraped_content]
|
| 175 |
+
|
| 176 |
+
return result
|
| 177 |
+
|
| 178 |
+
except Exception as e:
|
| 179 |
+
logging.error(f"Error generating analysis: {str(e)}")
|
| 180 |
+
return generate_fallback_response(business_query)
|
| 181 |
+
|
| 182 |
+
return generate_fallback_response(business_query)
|
| 183 |
+
|
| 184 |
+
def extract_section(text, section_name):
|
| 185 |
+
"""Extract content from a specific section"""
|
| 186 |
+
try:
|
| 187 |
+
lines = []
|
| 188 |
+
in_section = False
|
| 189 |
+
|
| 190 |
+
for line in text.split('\n'):
|
| 191 |
+
if section_name + ":" in line:
|
| 192 |
+
in_section = True
|
| 193 |
+
continue
|
| 194 |
+
elif any(s + ":" in line for s in ["CURRENT STATE", "DESIRED STATE", "IDENTIFIED GAPS", "RECOMMENDATIONS"]):
|
| 195 |
+
in_section = False
|
| 196 |
+
elif in_section and line.strip():
|
| 197 |
+
cleaned_line = line.strip('- *').strip()
|
| 198 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 199 |
+
lines.append(cleaned_line)
|
| 200 |
+
|
| 201 |
+
return lines
|
| 202 |
+
except Exception as e:
|
| 203 |
+
logging.error(f"Error extracting section {section_name}: {str(e)}")
|
| 204 |
+
return []
|
| 205 |
+
|
| 206 |
+
def generate_fallback_response(business_query):
|
| 207 |
+
"""Generate basic gap analysis when no data is found"""
|
| 208 |
+
return {
|
| 209 |
+
"current_state": [
|
| 210 |
+
f"Current market position of {business_query} (Inferred)",
|
| 211 |
+
"Existing resources and capabilities (Inferred)",
|
| 212 |
+
"Present performance metrics (Inferred)"
|
| 213 |
+
],
|
| 214 |
+
"desired_state": [
|
| 215 |
+
"Target market position (Inferred)",
|
| 216 |
+
"Required capabilities and resources (Inferred)",
|
| 217 |
+
"Desired performance levels (Inferred)"
|
| 218 |
+
],
|
| 219 |
+
"identified_gaps": [
|
| 220 |
+
"Performance improvement areas (Inferred)",
|
| 221 |
+
"Resource and capability needs (Inferred)",
|
| 222 |
+
"Market position enhancement requirements (Inferred)"
|
| 223 |
+
],
|
| 224 |
+
"recommendations": [
|
| 225 |
+
"Strategic initiatives needed (Inferred)",
|
| 226 |
+
"Resource acquisition plan (Inferred)",
|
| 227 |
+
"Implementation timeline suggestions (Inferred)"
|
| 228 |
+
],
|
| 229 |
+
"sources": []
|
| 230 |
+
}
|
gemini_analysis_20241203031554.txt
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Business Query: amazon
|
| 2 |
+
Analysis:
|
| 3 |
+
Given that the provided URLs are simply links to various Amazon-related websites and articles, and not the actual content of those articles, I cannot directly extract information to build an Ideal Customer Profile (ICP). To create a meaningful ICP, I will have to rely heavily on general knowledge of Amazon's vast customer base and make many inferences.
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
**DEMOGRAPHICS:**
|
| 7 |
+
|
| 8 |
+
* **Age Range:** 18-65+ (Inferred). Amazon caters to a wide age range, from young adults to senior citizens.
|
| 9 |
+
* **Income Level:** Varies widely, from low to high income brackets (Inferred). Amazon offers products and services across all price points.
|
| 10 |
+
* **Location:** Global (Inferred). Amazon operates worldwide, serving customers in numerous countries and regions.
|
| 11 |
+
* **Education:** Varies widely, from high school graduates to postgraduate degrees (Inferred). Amazon's product and service offerings appeal to people of all educational backgrounds.
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
**PSYCHOGRAPHICS:**
|
| 15 |
+
|
| 16 |
+
* **Values and Beliefs:** Convenience, value for money, selection, speed of delivery (Inferred). These are core values Amazon promotes and customers frequently cite.
|
| 17 |
+
* **Lifestyle:** Busy, tech-savvy, online-oriented (Inferred). Amazon's ease of use and delivery options cater to a busy lifestyle.
|
| 18 |
+
* **Interests:** Diverse, depending on demographics and product categories purchased (Inferred). Amazon's vast product catalog caters to a wide variety of interests.
|
| 19 |
+
* **Behaviors:** Impulse buying, researching products online, comparing prices, utilizing reviews (Inferred). These are common online shopping behaviors that Amazon facilitates.
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
**PROFESSIONAL CHARACTERISTICS:**
|
| 23 |
+
|
| 24 |
+
* **Industry:** Diverse, encompassing all sectors (Inferred). Businesses of all types use Amazon for various purposes, from purchasing supplies to selling their products.
|
| 25 |
+
* **Company Size:** Micro to Enterprise (Inferred). Amazon Business caters to large organizations, but individual consumers and small businesses also make up a significant portion of the customer base.
|
| 26 |
+
* **Role/Position:** Varies widely (Inferred). Amazon's customer base includes individuals making personal purchases, business owners, procurement managers, and employees.
|
| 27 |
+
* **Decision Making Authority:** Varies widely from individual consumers to executives within large corporations (Inferred).
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
**PAIN POINTS & NEEDS:**
|
| 31 |
+
|
| 32 |
+
* **Key Challenges:** Finding products quickly, securing the best prices, ensuring product quality, convenient delivery, secure online transactions (Inferred). These are common concerns for online shoppers that Amazon addresses.
|
| 33 |
+
* **Motivations:** Convenience, affordability, selection, speed of delivery, customer reviews (Inferred). These are key motivators for choosing Amazon over other retailers.
|
| 34 |
+
* **Goals:** Finding desired products efficiently, completing purchases quickly, receiving products in a timely manner (Inferred). These are the main goals Amazon helps customers achieve.
|
| 35 |
+
* **Purchase Triggers:** Need for specific products, promotions and discounts, holiday shopping, seasonal needs (Inferred). These are common triggers for making purchases on Amazon.
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
**ADDITIONAL INSIGHTS:**
|
| 39 |
+
|
| 40 |
+
1. **High Customer Retention:** Amazon has a high rate of customer retention due to its convenience, wide selection, and loyalty programs (Inferred).
|
| 41 |
+
2. **Price Sensitivity:** While Amazon offers premium products, a significant portion of its customer base is price-sensitive and seeks value for money (Inferred).
|
| 42 |
+
3. **Prime Membership Value:** Amazon Prime membership plays a significant role in driving customer loyalty and purchase frequency (Inferred). Prime members tend to spend more and shop more frequently.
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
**Disclaimer:** This ICP is heavily based on inferences due to the lack of access to the content of the provided URLs. A more accurate ICP would require analyzing the content of those specific links.
|
| 46 |
+
|
gemini_analysis_prompt.txt
ADDED
|
@@ -0,0 +1,234 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
Using this structured market data about amazon, provide a comprehensive analysis.
|
| 3 |
+
|
| 4 |
+
Data to analyze:
|
| 5 |
+
Based on the provided text, here's a structured summary of the extracted Amazon market data. Note that much of the data is incomplete or presented qualitatively, making precise quantitative analysis difficult.
|
| 6 |
+
|
| 7 |
+
**1. Market Size:**
|
| 8 |
+
|
| 9 |
+
* **Amazon Net Sales Revenue (2023):** ~$575 Billion USD
|
| 10 |
+
|
| 11 |
+
**2. Growth Rates:**
|
| 12 |
+
|
| 13 |
+
* No explicit growth rates (CAGR or YoY) are provided in the text.
|
| 14 |
+
|
| 15 |
+
**3. Market Leaders:**
|
| 16 |
+
|
| 17 |
+
* **Amazon:** Dominant player in US e-commerce (stated as "largest e-commerce company by revenue"). No market share percentage is given.
|
| 18 |
+
|
| 19 |
+
**4. Regional Data:**
|
| 20 |
+
|
| 21 |
+
* No regional breakdown of Amazon's sales or market share is provided beyond the statement that it operates "in many countries around the world."
|
| 22 |
+
|
| 23 |
+
**5. Key Statistics:**
|
| 24 |
+
|
| 25 |
+
* **Amazon Earnings (Q4 2023):** $15.33 Billion USD
|
| 26 |
+
* **Amazon Revenue (Q4 2023):** $158.88 Billion USD
|
| 27 |
+
* **Amazon Consensus EPS Estimates (USD):**
|
| 28 |
+
* Current Quarter (Dec 2024): Average 1.47, Low 1.29, High 1.83 (42 analysts)
|
| 29 |
+
* Next Quarter (Mar 2025): Average 1.37, Low 1.18, High 1.53 (27 analysts)
|
| 30 |
+
* Current Year (2024): Average 5.12, Low 4.73, High 5.49 (57 analysts)
|
| 31 |
+
* Next Year (2025): Average 6.16, Low 5.5, High 6.86 (57 analysts)
|
| 32 |
+
* **Amazon Revenue Estimates (USD):** (Note: Only partial data provided)
|
| 33 |
+
* Current Quarter (Dec 2024): Average 187.24B (45 analysts)
|
| 34 |
+
* Next Quarter (Mar 2025): Average 158.46B (32 analysts)
|
| 35 |
+
* Current Year (2024): Average 637.71B (59 analysts)
|
| 36 |
+
* Next Year (2025): Average 70B (partial data, 63 analysts) (Inferred - data cut off in source)
|
| 37 |
+
* **Market Capitalization (Inferred):** Over $1 Trillion USD
|
| 38 |
+
|
| 39 |
+
|
| 40 |
+
**Limitations:** The provided text snippets lack comprehensive financial data and market share figures. The extracted statistics are limited by the available information. More detailed financial reports would be necessary for a thorough market analysis.
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
Create a detailed report with these exact sections:
|
| 44 |
+
|
| 45 |
+
MARKET SIZE & GROWTH:
|
| 46 |
+
• Total Market Value:
|
| 47 |
+
- Exact current market size (use specific numbers)
|
| 48 |
+
- Historical growth trajectory
|
| 49 |
+
- YoY growth rate with percentages
|
| 50 |
+
• Market Segments:
|
| 51 |
+
- Segment sizes and percentages
|
| 52 |
+
- Growth rates by segment
|
| 53 |
+
- Key segment drivers
|
| 54 |
+
• Regional Distribution:
|
| 55 |
+
- Market share by region (%)
|
| 56 |
+
- Growth rates by region
|
| 57 |
+
- Regional market characteristics
|
| 58 |
+
|
| 59 |
+
COMPETITIVE ANALYSIS:
|
| 60 |
+
• Market Leaders:
|
| 61 |
+
- Top 5 companies with market share %
|
| 62 |
+
- Revenue figures where available
|
| 63 |
+
- YoY growth rates
|
| 64 |
+
• Competitive Advantages:
|
| 65 |
+
- Core differentiators
|
| 66 |
+
- Technology capabilities
|
| 67 |
+
- Market positioning
|
| 68 |
+
• Market Concentration:
|
| 69 |
+
- Concentration ratios
|
| 70 |
+
- Market power distribution
|
| 71 |
+
- Entry barrier analysis
|
| 72 |
+
|
| 73 |
+
INDUSTRY TRENDS:
|
| 74 |
+
• Current Trends:
|
| 75 |
+
- Consumer behavior shifts (with data)
|
| 76 |
+
- Technology adoption rates
|
| 77 |
+
- Market disruptions
|
| 78 |
+
• Technology Impact:
|
| 79 |
+
- Digital transformation metrics
|
| 80 |
+
- Innovation investment data
|
| 81 |
+
- Tech adoption rates
|
| 82 |
+
• Regulatory Environment:
|
| 83 |
+
- Key regulation impacts
|
| 84 |
+
- Compliance costs
|
| 85 |
+
- Future regulatory trends
|
| 86 |
+
|
| 87 |
+
GROWTH FORECAST:
|
| 88 |
+
• Short-term Outlook (1-2 years):
|
| 89 |
+
- Growth projections with CAGR
|
| 90 |
+
- Segment-wise forecasts
|
| 91 |
+
- Market size targets
|
| 92 |
+
• Long-term Potential (5 years):
|
| 93 |
+
- Market size projections
|
| 94 |
+
- Growth trajectories
|
| 95 |
+
- Segment evolution
|
| 96 |
+
• Growth Drivers:
|
| 97 |
+
- Primary catalysts with impact %
|
| 98 |
+
- Investment trends
|
| 99 |
+
- Innovation metrics
|
| 100 |
+
|
| 101 |
+
RISK ASSESSMENT:
|
| 102 |
+
• Market Challenges:
|
| 103 |
+
- Risk factors with impact ratings
|
| 104 |
+
- Mitigation strategies
|
| 105 |
+
- Cost implications
|
| 106 |
+
• Economic Factors:
|
| 107 |
+
- Economic sensitivity metrics
|
| 108 |
+
- Cost structure analysis
|
| 109 |
+
- Margin trends
|
| 110 |
+
• Competitive Threats:
|
| 111 |
+
- New entrant probability
|
| 112 |
+
- Substitution risks
|
| 113 |
+
- Market share threats
|
| 114 |
+
|
| 115 |
+
Requirements:
|
| 116 |
+
1. Use specific numbers and percentages
|
| 117 |
+
2. Include data sources where available
|
| 118 |
+
3. Mark estimates with (Inferred)
|
| 119 |
+
4. Prioritize actionable insights
|
| 120 |
+
5. Focus on quantifiable metrics
|
| 121 |
+
6. Include trend indicators (↑↓→)
|
| 122 |
+
7. Rate impacts (High/Medium/Low)
|
| 123 |
+
|
| 124 |
+
|
| 125 |
+
Using this structured market data about amazon, provide a comprehensive analysis.
|
| 126 |
+
|
| 127 |
+
Data to analyze:
|
| 128 |
+
Based on the provided text snippets, we can extract the following market data about Amazon:
|
| 129 |
+
|
| 130 |
+
1. **Market Size:**
|
| 131 |
+
|
| 132 |
+
* **2023 Net Sales Revenue:** $575 billion (Worldwide)
|
| 133 |
+
|
| 134 |
+
2. **Growth Rates:**
|
| 135 |
+
|
| 136 |
+
* No specific CAGR or YoY growth percentages are provided in the text.
|
| 137 |
+
|
| 138 |
+
3. **Market Leaders:**
|
| 139 |
+
|
| 140 |
+
* **Amazon:** The text states Amazon is the largest e-commerce company by revenue in the United States. No specific market share percentage is given. (Inferred: Amazon holds a significant, likely dominant, market share in US e-commerce).
|
| 141 |
+
|
| 142 |
+
4. **Regional Data:**
|
| 143 |
+
|
| 144 |
+
* No regional breakdown with percentages is provided beyond the statement that Amazon operates globally.
|
| 145 |
+
|
| 146 |
+
5. **Key Statistics:**
|
| 147 |
+
|
| 148 |
+
* **Market Capitalization:** Over $1 trillion (at some unspecified point in time).
|
| 149 |
+
|
| 150 |
+
|
| 151 |
+
**Note:** The provided text lacks detailed quantitative market data, focusing more on qualitative observations and trends within Amazon's business. To obtain more precise growth rates, market share figures, and regional breakdowns, additional market research reports would be needed.
|
| 152 |
+
|
| 153 |
+
|
| 154 |
+
Create a detailed report with these exact sections:
|
| 155 |
+
|
| 156 |
+
MARKET SIZE & GROWTH:
|
| 157 |
+
• Total Market Value:
|
| 158 |
+
- Exact current market size (use specific numbers)
|
| 159 |
+
- Historical growth trajectory
|
| 160 |
+
- YoY growth rate with percentages
|
| 161 |
+
• Market Segments:
|
| 162 |
+
- Segment sizes and percentages
|
| 163 |
+
- Growth rates by segment
|
| 164 |
+
- Key segment drivers
|
| 165 |
+
• Regional Distribution:
|
| 166 |
+
- Market share by region (%)
|
| 167 |
+
- Growth rates by region
|
| 168 |
+
- Regional market characteristics
|
| 169 |
+
|
| 170 |
+
COMPETITIVE ANALYSIS:
|
| 171 |
+
• Market Leaders:
|
| 172 |
+
- Top 5 companies with market share %
|
| 173 |
+
- Revenue figures where available
|
| 174 |
+
- YoY growth rates
|
| 175 |
+
• Competitive Advantages:
|
| 176 |
+
- Core differentiators
|
| 177 |
+
- Technology capabilities
|
| 178 |
+
- Market positioning
|
| 179 |
+
• Market Concentration:
|
| 180 |
+
- Concentration ratios
|
| 181 |
+
- Market power distribution
|
| 182 |
+
- Entry barrier analysis
|
| 183 |
+
|
| 184 |
+
INDUSTRY TRENDS:
|
| 185 |
+
• Current Trends:
|
| 186 |
+
- Consumer behavior shifts (with data)
|
| 187 |
+
- Technology adoption rates
|
| 188 |
+
- Market disruptions
|
| 189 |
+
• Technology Impact:
|
| 190 |
+
- Digital transformation metrics
|
| 191 |
+
- Innovation investment data
|
| 192 |
+
- Tech adoption rates
|
| 193 |
+
• Regulatory Environment:
|
| 194 |
+
- Key regulation impacts
|
| 195 |
+
- Compliance costs
|
| 196 |
+
- Future regulatory trends
|
| 197 |
+
|
| 198 |
+
GROWTH FORECAST:
|
| 199 |
+
• Short-term Outlook (1-2 years):
|
| 200 |
+
- Growth projections with CAGR
|
| 201 |
+
- Segment-wise forecasts
|
| 202 |
+
- Market size targets
|
| 203 |
+
• Long-term Potential (5 years):
|
| 204 |
+
- Market size projections
|
| 205 |
+
- Growth trajectories
|
| 206 |
+
- Segment evolution
|
| 207 |
+
• Growth Drivers:
|
| 208 |
+
- Primary catalysts with impact %
|
| 209 |
+
- Investment trends
|
| 210 |
+
- Innovation metrics
|
| 211 |
+
|
| 212 |
+
RISK ASSESSMENT:
|
| 213 |
+
• Market Challenges:
|
| 214 |
+
- Risk factors with impact ratings
|
| 215 |
+
- Mitigation strategies
|
| 216 |
+
- Cost implications
|
| 217 |
+
• Economic Factors:
|
| 218 |
+
- Economic sensitivity metrics
|
| 219 |
+
- Cost structure analysis
|
| 220 |
+
- Margin trends
|
| 221 |
+
• Competitive Threats:
|
| 222 |
+
- New entrant probability
|
| 223 |
+
- Substitution risks
|
| 224 |
+
- Market share threats
|
| 225 |
+
|
| 226 |
+
Requirements:
|
| 227 |
+
1. Use specific numbers and percentages
|
| 228 |
+
2. Include data sources where available
|
| 229 |
+
3. Mark estimates with (Inferred)
|
| 230 |
+
4. Prioritize actionable insights
|
| 231 |
+
5. Focus on quantifiable metrics
|
| 232 |
+
6. Include trend indicators (↑↓→)
|
| 233 |
+
7. Rate impacts (High/Medium/Low)
|
| 234 |
+
|
gemini_outputs/compitoone.txt
ADDED
|
@@ -0,0 +1,42 @@
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|
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|
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|
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|
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|
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|
|
|
| 1 |
+
Based on the provided text, creating a precise ICP for iPhone customers is challenging due to the limited information. The text focuses on Apple's overall brand success and revenue streams rather than detailed customer profiles. However, we can infer some characteristics:
|
| 2 |
+
|
| 3 |
+
**DEMOGRAPHICS:**
|
| 4 |
+
|
| 5 |
+
* **Age Range:** 18-65+ (Inferred). While the iPhone appeals across a wide age range, it's unlikely to be the primary device for very young children or the very elderly without significant technological assistance.
|
| 6 |
+
* **Income Level:** Middle to High (Inferred). iPhone pricing positions it as a premium product, suggesting a higher disposable income level among its user base. However, the existence of refurbished and older models suggests a broader range of affordability.
|
| 7 |
+
* **Location:** Global (Explicit). The text mentions global sales figures, indicating a worldwide customer base. However, specific regional concentrations would require additional data.
|
| 8 |
+
* **Education:** Varied (Inferred). iPhone users likely represent a broad range of education levels. While higher education may correlate with higher purchasing power, this isn't a defining factor.
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
**PSYCHOGRAPHICS:**
|
| 12 |
+
|
| 13 |
+
* **Values and Beliefs:** Tech-savviness, appreciation for design and user experience, brand loyalty (to Apple), desire for seamless integration across devices (Inferred). The text emphasizes Apple's brand recognition and the integrated nature of its ecosystem.
|
| 14 |
+
* **Lifestyle:** Likely active users of technology, often early adopters of new tech trends (Inferred). Apple's focus on innovative products suggests an appeal to users who value the latest technology.
|
| 15 |
+
* **Interests:** A broad spectrum, as iPhones cater to diverse interests and applications (Inferred). The multitude of apps and services available suggest diverse interests are served by the platform.
|
| 16 |
+
* **Behaviors:** Regular app usage, online shopping, social media engagement, likely heavy users of digital services (Inferred). The importance of Apple's "Services" revenue stream suggests high engagement within the Apple ecosystem.
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
**PROFESSIONAL CHARACTERISTICS:**
|
| 20 |
+
|
| 21 |
+
* **Industry:** Varied (Inferred). iPhone usage spans virtually all industries.
|
| 22 |
+
* **Company Size:** Varied (Inferred). From individual entrepreneurs to large corporations.
|
| 23 |
+
* **Role/Position:** Varied (Inferred). From students to executives, iPhones are used across roles.
|
| 24 |
+
* **Decision Making Authority:** Individual (primarily) (Inferred). While some purchases might be made by businesses for employees, the primary iPhone market is individuals making their own decisions.
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
**PAIN POINTS & NEEDS:**
|
| 28 |
+
|
| 29 |
+
* **Key Challenges:** Staying connected, efficient communication, accessing information quickly, managing multiple tasks, entertainment (Inferred). These are the issues addressed by the functionality of the iPhone.
|
| 30 |
+
* **Motivations:** Ease of use, seamless integration within the Apple ecosystem, brand reputation, perceived quality, social status (Inferred). These are factors driving Apple's brand appeal and consistent sales.
|
| 31 |
+
* **Goals:** Improved productivity, enhanced communication, seamless access to information and entertainment (Inferred). These are goals the product aims to facilitate.
|
| 32 |
+
* **Purchase Triggers:** New product releases, upgrades, device malfunctions, desire for new features, social influence (Inferred). These are factors potentially initiating the purchasing process.
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
**ADDITIONAL INSIGHTS:**
|
| 36 |
+
|
| 37 |
+
* **Unique characteristics:** High brand loyalty, strong ecosystem integration, premium pricing strategy (Explicit and Inferred).
|
| 38 |
+
* **Special considerations:** Addressing security concerns, managing e-waste, maintaining a competitive edge in a rapidly evolving market (Inferred). These are ongoing concerns for Apple.
|
| 39 |
+
* **Key differentiators:** User experience, brand reputation, ecosystem integration, security, design aesthetics (Inferred). These are factors setting Apple apart from competitors.
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
**In summary:** The provided text gives a high-level overview of Apple's success, but lacks the detail needed for a truly precise ICP. The inferred information above offers a reasonable approximation, but further market research would be needed for a more accurate and granular customer profile.
|
gemini_outputs/markettrand.txt
ADDED
|
@@ -0,0 +1,71 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
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|
|
|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
## Amazon Market Trends Report: 2024
|
| 2 |
+
|
| 3 |
+
This report analyzes market trends surrounding Amazon, focusing on its performance and the broader e-commerce landscape. Data is compiled from various sources included in the provided text snippets, and estimates are clearly marked.
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
**1. MARKET SIZE & GROWTH**
|
| 7 |
+
|
| 8 |
+
* **Total Market Value:** In 2023, Amazon's net sales revenue reached nearly $575 billion worldwide. The US e-commerce industry was worth almost a trillion dollars in 2023. (Inferred) Amazon's market share significantly contributes to this overall value.
|
| 9 |
+
|
| 10 |
+
* **Market Segments:** Amazon operates across numerous market segments, including:
|
| 11 |
+
* E-retail sales of various product categories (largest revenue generator).
|
| 12 |
+
* Third-party seller revenues (approximately 60% of total paid units).
|
| 13 |
+
* Retail and media subscriptions (Amazon Prime, etc.).
|
| 14 |
+
* AWS cloud services.
|
| 15 |
+
* Advertising.
|
| 16 |
+
|
| 17 |
+
* **Regional Distribution:** The US is Amazon's most profitable market, generating over $356 billion in sales in 2022. Other significant markets include Germany ($33 billion) and the United Kingdom ($30 billion in 2022). Amazon's global reach extends to numerous other countries, but precise regional breakdowns aren't fully detailed in the provided data.
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
**2. COMPETITIVE LANDSCAPE**
|
| 21 |
+
|
| 22 |
+
* **Market Leaders:** In 2023, Amazon dominated the US e-commerce market with a 37.6% share. Walmart followed significantly behind with 6.4%, then Apple (3.6%), eBay (3%), and Target (1.9%). Globally, Amazon holds a leading position as the "world's favorite online marketplace" (source data lacks specific global market share figures).
|
| 23 |
+
|
| 24 |
+
* **Market Differentiators:** Amazon's success stems from several key factors:
|
| 25 |
+
* **Marketplace model:** Leveraging third-party sellers expands product offerings and reduces inventory costs.
|
| 26 |
+
* **Fulfillment by Amazon (FBA):** Provides end-to-end logistics, improving delivery speed and customer experience.
|
| 27 |
+
* **Prime subscription:** Offers benefits like fast shipping, streaming services, and other perks, driving customer loyalty.
|
| 28 |
+
* **AWS:** A dominant player in the cloud computing market, diversifying Amazon's revenue streams.
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
* **Industry Dynamics:** The e-commerce industry is highly competitive, with constant innovation and pressure on pricing. Amazon's vast scale and integrated ecosystem create significant barriers to entry for competitors. The industry is characterized by rapid technological advancements and evolving customer expectations.
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
**3. INDUSTRY TRENDS**
|
| 35 |
+
|
| 36 |
+
* **Current Trends:**
|
| 37 |
+
* Continued growth of online shopping. Forecasts predict US online market growth exceeding 50% by 2027.
|
| 38 |
+
* Increasing use of mobile shopping and mobile apps.
|
| 39 |
+
* Growing demand for personalized shopping experiences and targeted advertising.
|
| 40 |
+
* Focus on sustainability and ethical sourcing.
|
| 41 |
+
|
| 42 |
+
* **Technology Impact:** Automation, AI, and machine learning are transforming logistics, customer service, and personalized recommendations. Cloud computing (driven by AWS) is essential for scalability and data analysis.
|
| 43 |
+
|
| 44 |
+
* **Regulatory Environment:** Amazon faces increasing scrutiny regarding antitrust issues, data privacy, and its influence on smaller businesses and competition. Regulatory changes could significantly impact its future operations.
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
**4. GROWTH FORECAST**
|
| 48 |
+
|
| 49 |
+
* **Short-Term Outlook:** Amazon's 5-year revenue forecast CAGR (Compound Annual Growth Rate) is estimated at 10.6%. (Data source states 'Revenue Forecast CAGR (5y) for Amazon.com Inc', but specific years are not detailed.) This suggests continued robust growth in the near term.
|
| 50 |
+
|
| 51 |
+
* **Long-Term Potential:** Continued growth in e-commerce, expansion into new markets and services, and technological advancements suggest long-term potential for Amazon. However, regulatory hurdles and increased competition could moderate this growth.
|
| 52 |
+
|
| 53 |
+
* **Growth Drivers:** Key growth drivers include:
|
| 54 |
+
* Expanding into new geographic markets.
|
| 55 |
+
* Diversification into new services (e.g., advertising, healthcare).
|
| 56 |
+
* Technological innovation and improved customer experiences.
|
| 57 |
+
* Continued growth of the global e-commerce market.
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
**5. RISK ASSESSMENT**
|
| 61 |
+
|
| 62 |
+
* **Market Challenges:** Intense competition from established retailers and emerging e-commerce players presents a significant challenge. Maintaining high customer satisfaction and adapting to evolving consumer preferences are crucial.
|
| 63 |
+
|
| 64 |
+
* **Economic Factors:** Economic downturns can impact consumer spending, potentially affecting Amazon's sales and growth. Inflation and supply chain disruptions can also create challenges.
|
| 65 |
+
|
| 66 |
+
* **Competitive Threats:** Competitors are aggressively investing in their own e-commerce platforms and logistics capabilities, and developing their own subscription services. The rise of social commerce poses another threat.
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
**Conclusion:**
|
| 70 |
+
|
| 71 |
+
Amazon maintains a dominant position in the e-commerce industry, but faces significant challenges and risks. Continued success will depend on its ability to innovate, adapt to changing market dynamics, manage regulatory pressures, and maintain its competitive edge. More detailed and precise data would allow for a more robust and nuanced analysis.
|
gemini_prompt.txt
ADDED
|
@@ -0,0 +1,32 @@
|
|
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|
|
| 1 |
+
|
| 2 |
+
Extract and structure key market data from this content about amazon.
|
| 3 |
+
|
| 4 |
+
Content to analyze:
|
| 5 |
+
["# Master the Market with Amazon Trends\n\nSeptember 12th, 2024\n\n[](https://www.awesomedynamic.com/wp-content/uploads/2021/07/amazon-trends.jpg)\n\n[Grab Your Free Consult](https://www.awesomedynamic.com/contact-us/)\n\n# Amazon Best Selling Products 2024\n\nEver wonder how some products become best-sellers overnight? In 2024, the secret lies in spotting popular Amazon products before they explode. Master this, and you can turn emerging trends into your ticket to rapid success.\n\nTo stay ahead of the curve when selling online with Amazon, you need to pinpoint what's hot and what's cooling off. Top Amazon sellers turn these insights into their secret weapon, leveraging trends to outshine the competition and make their mark.\n\n# Understanding Amazon Trends 2024\n\nWhen choosing your next product, zero in on two crucial factors: the l", 'Consensus EPS\n\n[Earnings Per Share](javascript:void(0); "Earnings Per Share")\n\nRevenue158.88B\n\nEarnings15.33B\n\nQ4\'23\n\nQ1\'24\n\nQ2\'24\n\nQ3\'24\n\n0\n\n50B\n\n100B\n\n150B\n\n[Revenue vs. Earnings](javascript:void(0); "Revenue vs. Earnings")\n\n- Strong Buy\n\n- Buy\n\n- Hold\n\n- Underperform\n\n- Sell\n\n\n[Analyst Recommendations](javascript:void(0); "Analyst Recommendations")\n\n180.00Low\n\n234.29Average\n\n210.71Current\n\n285.00High\n\n| CURRENCY IN USD | Current Qtr. (Dec 2024) | Next Qtr. (Mar 2025) | Current Year (2024) | Next Year (2025) |\n| --- | --- | --- | --- | --- |\n| No. of Analysts | 42 | 27 | 57 | 57 |\n| Avg. Estimate | 1.47 | 1.37 | 5.12 | 6.16 |\n| Low Estimate | 1.29 | 1.18 | 4.73 | 5.5 |\n| High Estimate | 1.83 | 1.53 | 5.49 | 6.86 |\n| Year Ago EPS | 1 | 0.98 | 2.9 | 5.12 |\n\n| CURRENCY IN USD | Current Qtr. (Dec 2024) | Next Qtr. (Mar 2025) | Current Year (2024) | Next Year (2025) |\n| --- | --- | --- | --- | --- |\n| No. of Analysts | 45 | 32 | 59 | 63 |\n| Avg. Estimate | 187.24B | 158.46B | 637.71B | 70', "[Skip to main content](#main-content)\n\n# Amazon - statistics & facts\n\nRegion\n\nWorldwide\n\n\nChoose a region:\n\nWorldwide\n\n\nThere is a stark difference in the e-commerce industry before and after the rise of Amazon. The international e-commerce behemoth has redefined standards of online retail and shopping services, making the most out of the marketplace business model. The steadily increasing sales figures speak for themselves — Amazon hit nearly 575 billion U.S. dollars in net sales revenue worldwide in 2023. Due to its global scope and reach, Amazon is considered one of the [most valuable brands worldwide](/statistics/264875/brand-value-of-the-25-most-valuable-brands/).\n\n\n## Selling strategies and operations\n\n\nMost of [Amazon's revenue](/statistics/672747/amazons-consolidated-net-revenue-by-segment/) is generated through e-retail sales of different categories of products, followed by third-party seller revenues, retail and media subscriptions, and AWS cloud services. Amazon serves as a ", "[iframe](about:blank)\n\nTable of Contents\n\nExpand\n\nTable of Contents\n\n- [Online Stores](#toc-online-stores)\n\n- [Physical Stores](#toc-physical-stores)\n\n- [Third-Party Seller Services](#toc-third-party-seller-services)\n\n- [Subscription Services](#toc-subscription-services)\n\n- [Amazon Web Services (AWS)](#toc-amazon-web-services-aws)\n\n- [The Bottom Line](#toc-the-bottom-line)\n\n\nClose\n\nAmazon ( [AMZN](https://www.investopedia.com/markets/quote?tvwidgetsymbol=amzn)) competes head-to-head for market share with some of the largest corporations in the world. Competition might be the company's [greatest operational risk factor](https://www.investopedia.com/articles/markets/100215/biggest-risks-investing-amazon-stock.asp). While Amazon started out as an online retailer of books, it has grown over the decades to become the [largest e-commerce company](https://www.investopedia.com/how-amazon-makes-money-4587523) by revenue in the United States.\n\nIn its quarterly and annual financial statements, Am", '\n\nAmazon is a household name and a global giant in the e-commerce and technology industries. [Founded by Jeff Bezos in 1994](https://businessmodelanalyst.com/who-owns-amazon/), the company has come a long way from its humble beginnings as an online bookstore to becoming one of the world’s largest and most influential companies. [Amazon](https://businessmodelanalyst.com/amazon-business-model/) is a big player in the business world. It has a market capitalization of more than $1 trillion and does business in many countries around the world. Understanding the **Amazon SWOT analysis** can provide valuable insight into the company’s current position and potential future trajectory.\n\nNo company is immune to challenges and opportunities, and businesses need to conduct a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis to identify and address both internal and external factors that may impact their success.\n\nWhether you are a business owner looking to learn from Amazon’s succe']
|
| 6 |
+
|
| 7 |
+
Extract specific data points in this format:
|
| 8 |
+
1. Market Size: Include exact numbers (billions/millions)
|
| 9 |
+
2. Growth Rates: CAGR, YoY growth percentages
|
| 10 |
+
3. Market Leaders: Company names with market share %
|
| 11 |
+
4. Regional Data: Geographic breakdown with percentages
|
| 12 |
+
5. Key Statistics: Any relevant numerical data
|
| 13 |
+
|
| 14 |
+
Format as clear data points with numbers and percentages.
|
| 15 |
+
Mark estimates or inferences with (Inferred).
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
Extract and structure key market data from this content about amazon.
|
| 19 |
+
|
| 20 |
+
Content to analyze:
|
| 21 |
+
["# Master the Market with Amazon Trends\n\nSeptember 12th, 2024\n\n[](https://www.awesomedynamic.com/wp-content/uploads/2021/07/amazon-trends.jpg)\n\n[Grab Your Free Consult](https://www.awesomedynamic.com/contact-us/)\n\n# Amazon Best Selling Products 2024\n\nEver wonder how some products become best-sellers overnight? In 2024, the secret lies in spotting popular Amazon products before they explode. Master this, and you can turn emerging trends into your ticket to rapid success.\n\nTo stay ahead of the curve when selling online with Amazon, you need to pinpoint what's hot and what's cooling off. Top Amazon sellers turn these insights into their secret weapon, leveraging trends to outshine the competition and make their mark.\n\n# Understanding Amazon Trends 2024\n\nWhen choosing your next product, zero in on two crucial factors: the l", "[Skip to main content](#main-content)\n\n# Amazon - statistics & facts\n\nRegion\n\nWorldwide\n\nWorldwide\n\n\nChoose a region:\n\nWorldwide\n\n\nThere is a stark difference in the e-commerce industry before and after the rise of Amazon. The international e-commerce behemoth has redefined standards of online retail and shopping services, making the most out of the marketplace business model. The steadily increasing sales figures speak for themselves — Amazon hit nearly 575 billion U.S. dollars in net sales revenue worldwide in 2023. Due to its global scope and reach, Amazon is considered one of the [most valuable brands worldwide](/statistics/264875/brand-value-of-the-25-most-valuable-brands/).\n\n\n## Selling strategies and operations\n\n\nMost of [Amazon's revenue](/statistics/672747/amazons-consolidated-net-revenue-by-segment/) is generated through e-retail sales of different categories of products, followed by third-party se", "[iframe](about:blank)\n\nTable of Contents\n\nExpand\n\nTable of Contents\n\n- [Online Stores](#toc-online-stores)\n\n- [Physical Stores](#toc-physical-stores)\n\n- [Third-Party Seller Services](#toc-third-party-seller-services)\n\n- [Subscription Services](#toc-subscription-services)\n\n- [Amazon Web Services (AWS)](#toc-amazon-web-services-aws)\n\n- [The Bottom Line](#toc-the-bottom-line)\n\n\nClose\n\nAmazon ( [AMZN](https://www.investopedia.com/markets/quote?tvwidgetsymbol=amzn)) competes head-to-head for market share with some of the largest corporations in the world. Competition might be the company's [greatest operational risk factor](https://www.investopedia.com/articles/markets/100215/biggest-risks-investing-amazon-stock.asp). While Amazon started out as an online retailer of books, it has grown over the decades to become the [largest e-commerce company](https://www.investopedia.com/how-amazon-makes-money-4587523) by revenue in the United States.\n\nIn its quarterly and annual financial statements, Am", '\n\nAmazon is a household name and a global giant in the e-commerce and technology industries. [Founded by Jeff Bezos in 1994](https://businessmodelanalyst.com/who-owns-amazon/), the company has come a long way from its humble beginnings as an online bookstore to becoming one of the world’s largest and most influential companies. [Amazon](https://businessmodelanalyst.com/amazon-business-model/) is a big player in the business world. It has a market capitalization of more than $1 trillion and does business in many countries around the world. Understanding the **Amazon SWOT analysis** can provide valuable insight into the company’s current position and potential future trajectory.\n\nNo company is immune to challenges and opportunities, and businesses need to conduct a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis to identify and address both internal and external factors that may impact their success.\n\nWhether you are a business owner looking to learn from Amazon’s succe']
|
| 22 |
+
|
| 23 |
+
Extract specific data points in this format:
|
| 24 |
+
1. Market Size: Include exact numbers (billions/millions)
|
| 25 |
+
2. Growth Rates: CAGR, YoY growth percentages
|
| 26 |
+
3. Market Leaders: Company names with market share %
|
| 27 |
+
4. Regional Data: Geographic breakdown with percentages
|
| 28 |
+
5. Key Statistics: Any relevant numerical data
|
| 29 |
+
|
| 30 |
+
Format as clear data points with numbers and percentages.
|
| 31 |
+
Mark estimates or inferences with (Inferred).
|
| 32 |
+
|
goamify.com_gap_analysis.txt
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| 1 |
+
# 8 Amazon Areas to Improve with Outsourced Optimization
|
| 2 |
+
|
| 3 |
+
Author: Tyler Lawson
|
| 4 |
+
|
| 5 |
+
Nov 3, 2022
|
| 6 |
+
|
| 7 |
+
Learn More
|
| 8 |
+
|
| 9 |
+

|
| 10 |
+
|
| 11 |
+
A few improvements to an Amazon product listing can go a long way. Whether you’re trying to win the Buy Box or want to strengthen your branding, it can be challenging to determine where to focus your efforts.
|
| 12 |
+
|
| 13 |
+
However, as competition on the platform has increased, a growing number of sellers are relying on Amazon optimization services from outside agencies. These partners can offer teams of experts across diverse specialties to drive conversions and maximize ROI. Of course, there are some areas where this type of experienced help is most needed.
|
| 14 |
+
|
| 15 |
+
## **Product Title**
|
| 16 |
+
|
| 17 |
+
The interaction between a prospective customer and your product listing often begins with your Amazon product title. A well-constructed and optimized product title can be the difference between profitable shopper conversions and a struggle to get your item in front of the appropriate audience.
|
| 18 |
+
|
| 19 |
+
An optimized product title is more than just a description of your Amazon listing. It needs to be a concise balance of accuracy and detail that targets the most valuable keywords for your brand. One of the challenges of listing optimization is crafting a title that simultaneously satisfies the expectations of Amazon users and strategically influences the site’s algorithm.
|
| 20 |
+
|
| 21 |
+
While it may take up less real estate than other parts of an Amazon listing, it certainly plays an outsized role in results. An optimization service partner with experience in copywriting and keyword research, as well as a clear understanding of the competitive landscape and Amazon’s algorithm, is the best way to ensure a product title supports sales growth rather than misses opportunities.
|
| 22 |
+
|
| 23 |
+
## **Keywords**
|
| 24 |
+
|
| 25 |
+
Identifying the primary keywords that are most important to a listing’s performance is typically within a brand’s in-house capabilities. However, prioritizing those terms and effectively integrating them into an Amazon product listing is much more complicated. Search engine optimization (SEO) on the platform gauges relevance and value to determine how to best leverage a keyword in a product title, feature bullet points, product description or elsewhere.
|
| 26 |
+
|
| 27 |
+
Optimization is also not as simple as repeating keywords numerous times. When it comes to Amazon’s algorithm and keywords, quality is way more important than quantity. In many cases, once a search term appears in your Amazon listing, it has likely added all the value it can. Therefore, adding it repeatedly, especially to the detriment of the copywriting, is unlikely to improve your spot in the search results.
|
| 28 |
+
|
| 29 |
+
An Amazon listing service can help identify and prioritize relevant keywords more effectively than most brands can accomplish alone. Reputable service providers can create an Amazon SEO optimization plan for both the broadest keywords and the long-tail keywords that help differentiate a brand from its competition and reach customers who are closer to the point of purchase. Most importantly, they have the experience to do so within engaging copy and while taking advantage of Amazon’s backend keyword tools that many brands overlook.
|
| 30 |
+
|
| 31 |
+
## **Images**
|
| 32 |
+
|
| 33 |
+
Among the most influential pieces of Amazon content are high-quality images. In fact, [78 percent of people say video has convinced them to buy a product](https://www.wyzowl.com/video-marketing-statistics/#stat-4-1), while [30 percent of shoppers won’t even consider a product that presents low-quality images](https://www.digitalcommerce360.com/2022/02/16/scant-details-and-poor-quality-images-can-drive-away-online-shoppers/). However, optimizing photos means more than just good resolution and high resolution. The media on your product page should tell a story. Your products should be showcased from multiple angles and in use. In addition, any product image included in a product listing should reinforce the featured benefits you are trying to convey.
|
| 34 |
+
|
| 35 |
+
Well-designed and appealing infographics that add compelling text overlays and use precise measurements and comparisons to establish size and function are essential to this area of Amazon listing optimization. And remember, this deliberate approach to Amazon listing photos is about more than convincing buyers to add the product to their cart. It’s about ensuring that shoppers are informed and have the appropriate expectations when they receive the item so that the confusion or disappointment that might otherwise occur, and result in negative reviews, can be avoided.
|
| 36 |
+
|
| 37 |
+
A qualified Amazon agency partner can offer one-stop shopping for both the artistic skills that product photography requires and the campaign mindset necessary to make them a seamless part of your brand’s story.
|
| 38 |
+
|
| 39 |
+
## **Features & Description**
|
| 40 |
+
|
| 41 |
+
While some brands might see much difference between their product’s key features and description, the ones that take optimization seriously know better. Amazon’s key feature section relies only on short bullets to communicate the most important aspects of a product to consumers. The text displayed in the key features can also weigh more heavily in the ranking done by the platform’s algorithm, making keyword placement critical.
|
| 42 |
+
|
| 43 |
+
Alternatively, the product description is the place to provide detailed information about product features and product usage to guide a customer’s purchase decision. It’s the place to highlight specific product information that was not included in other areas of an Amazon listing but may still influence Amazon shoppers. In both the features and description areas, sellers must follow Amazon policies, such as the restrictions on mentioning competition or promoting temporary price cuts.
|
| 44 |
+
|
| 45 |
+
Developing a key features section and product description that complement one another, taking advantage of keywords and captivating the audience with an eye toward conversions is not easy. Like so many parts of an Amazon listing, a single weak link can have a detrimental effect on the entire listing and result in long-term problems for an Amazon seller. That’s why relying on an Amazon expert to make sure these fundamental pieces are completed correctly is often the best way to ensure growth on the site.
|
| 46 |
+
|
| 47 |
+
## **Price**
|
| 48 |
+
|
| 49 |
+
Most companies already know that product price is integral to their future success. However, brands that are new to Amazon may underestimate the impact that the site can have when calculating the optimum price. The immense competition can push sellers to lower prices, while the expense of selling on Amazon can make margins difficult to manage.
|
| 50 |
+
|
| 51 |
+
Pricing on Amazon should consider all these factors and be informed by the data available in the Brand Analytics dashboard. The pricing of any product also needs to be monitored continuously to identify threats from illegitimate sellers and avoid missing the opportunities that come with a fast-paced and fluctuating market.
|
| 52 |
+
|
| 53 |
+
A strong Amazon partner can help brands navigate pricing optimization amid various fulfillment options. Their Amazon experts will understand how the storage, packing and shipping costs will
|
| 54 |
+
|
| 55 |
+
## **Storefront**
|
| 56 |
+
|
| 57 |
+
Creating an Amazon Storefront is an incredible opportunity to raise brand awareness among shoppers and drive more sales. Customers who connect emotionally with a brand name have three times higher lifetime value. And according to [Deloitte research](https://www2.deloitte.com/us/en/insights/topics/marketing-and-sales-operations/global-marketing-trends/2020/purpose-driven-companies.html), 80 percent of consumers would pay more for products if the company committed itself to being socially responsible, environmentally responsible, and/or paying higher wages.
|
| 58 |
+
|
| 59 |
+
The process of creating a Storefront begins with the completion of the Brand Registry process within the Amazon marketplace. Still, beyond attaining eligibility, the initiative also requires a strategic approach similar to developing a direct-to-consumer website. Product organization, creativity and ongoing refinement are essential to an Amazon store. A Storefront also unlocks access to new customer data that can be used to increase conversions and ROI.
|
| 60 |
+
|
| 61 |
+
Rather than an isolated tactic, Storefronts should be implemented as part of a broader campaign to develop followers and strengthen your brand. The combination of creative design, data analysis and campaign synergy that is required for a successful Amazon Storefront makes it an ideal place to add help from an Amazon listing optimization service.
|
| 62 |
+
|
| 63 |
+
## **Fulfillment**
|
| 64 |
+
|
| 65 |
+
Even as [Amazon grows its share of online sales](https://goamify.com/blog-articles/amazons-market-share-will-continue-to-grow/), the company continues to pioneer ways to disrupt the e-commerce industry beyond its retail marketplace. Currently, Amazon sellers have the choice of several fulfillment strategies to get their products to customers. And determining the best option is not always obvious.
|
| 66 |
+
|
| 67 |
+
Sellers, particularly those pursuing Amazon Prime status for their products, will often rely on [Fulfillment by Amazon (FBA)](https://sell.amazon.com/fulfillment-by-amazon). Self-fulfillment remains an option for brands that wish to control the entire process from order to delivery. Meanwhile, recently-introduced [Multi-Channel Fulfillment](https://supplychain.amazon.com/?utm_source=google&utm_medium=cpc&utm_campaign=us_fulfillment&utm_ID=131198903168&utm_term=multichannel+fulfillment&utm_content=e&device=c&network=g&keyword=multichannel%20fulfillment&creative=572673878135&placement=&gclid=CjwKCAjw-L-ZBhB4EiwA76YzOfAhefPKJS4JKtHM4KqcaDz5UgXgjLC7hgOhTnlVNwzctPv5HZU9bRoCNYwQAvD_BwE) is growing in popularity, particularly among brands that already rely on Amazon FBA inventory for their sales and are looking to simplify their responsibilities.
|
| 68 |
+
|
| 69 |
+
Companies that rely on Amazon for fulfillment support must pay close attention to inventory management policies and storage costs to avoid unnecessary expenses that can substantially reduce margins. Similarly, sellers still using self-fulfillment often consider the possibility of transitioning to another model too overwhelming. In either scenario, the knowledge and consistency that Amazon agencies with expertise in fulfillment can offer may be well worth the cost for many brands facing these circumstances.
|
| 70 |
+
|
| 71 |
+
## **Customer Service**
|
| 72 |
+
|
| 73 |
+
There’s no question that reviews, positive and negative, can impact product sales and conversion metrics. This is just one of the reasons why Amazon optimization should extend to the customer service experience that brands provide their customers. Poor customer service, and the subsequent poor product reviews that will appear on a site like Amazon, can impact your organic search rankings even before a shopper discovers your product detail page.
|
| 74 |
+
|
| 75 |
+
Although the FBA model shifts much of the customer service process from the seller to Amazon, it’s not an excuse to ignore customer response to your products. Brands retain responsibility for setting customer expectations and creating content that leads to positive reviews. The evidence is clear that anything less can be disastrous for growth. Surveys have shown that [nine out of 10 customers read reviews before clicking the buy button](https://business.trustpilot.com/guides-reports/build-trusted-brand/the-critical-role-of-reviews-in-internet-trust#downloadreport), while [eight out of 10 give them as much weight as a personal recommendation](https://www.oberlo.com/blog/online-review-statistics).
|
| 76 |
+
|
| 77 |
+
From ensuring inventory remains in stock for loyal customers to scouring reviews to identify early signs of quality issues or customer confusion, an Amazon optimization agency can be an invaluable partner for companies that are committed to excellent customer service.
|
| 78 |
+
|
| 79 |
+
## **Amify can help**
|
| 80 |
+
|
| 81 |
+
If you’re looking for help with your Amazon product listing optimization, [Amify](https://goamify.com/) is the partner you need. Our optimization experts can provide award-winning SEO services, content creation and inventory management support for your brand. [Contact us](https://goamify.com/contact-us/) today to find out how to get started.
|
| 82 |
+
|
| 83 |
+
## More Resources And Articles
|
| 84 |
+
|
| 85 |
+

|
| 86 |
+
|
| 87 |
+
### Your Guide to Amazon Brand Registry
|
| 88 |
+
|
| 89 |
+
Author: Tyler Lawson
|
| 90 |
+
|
| 91 |
+
Nov 22, 2024
|
| 92 |
+
|
| 93 |
+
[Read Article](https://goamify.com/blog-articles/your-guide-to-amazon-brand-registry/)
|
| 94 |
+
|
| 95 |
+

|
| 96 |
+
|
| 97 |
+
### The Five Big Differences Between Amazon Vendor Central and Seller Central
|
| 98 |
+
|
| 99 |
+
Author: Tyler Lawson
|
| 100 |
+
|
| 101 |
+
Nov 14, 2024
|
| 102 |
+
|
| 103 |
+
[Read Article](https://goamify.com/blog-articles/the-five-big-differences-between-amazon-vendor-central-and-seller-central/)
|
| 104 |
+
|
| 105 |
+

|
| 106 |
+
|
| 107 |
+
### Understanding Amazon’s Supply Chain Strategy
|
| 108 |
+
|
| 109 |
+
Author: Tyler Lawson
|
| 110 |
+
|
| 111 |
+
Nov 4, 2024
|
| 112 |
+
|
| 113 |
+
[Read Article](https://goamify.com/blog-articles/understanding-amazons-supply-chain-strategy/)
|
| 114 |
+
|
| 115 |
+
### The Amazon Brand Story Feature: All You Need to Know
|
| 116 |
+
|
| 117 |
+
Author: Peter Curac-Dahl
|
| 118 |
+
|
| 119 |
+
Oct 18, 2024
|
| 120 |
+
|
| 121 |
+
[Read Article](https://goamify.com/blog-articles/the-brand-story-feature-on-amazon-all-you-need-to-know/)
|
| 122 |
+
|
| 123 |
+

|
| 124 |
+
|
| 125 |
+
### Amazon Coupons—A Guide For Sellers
|
| 126 |
+
|
| 127 |
+
Author: Tyler Lawson
|
| 128 |
+
|
| 129 |
+
Aug 30, 2024
|
| 130 |
+
|
| 131 |
+
[Read Article](https://goamify.com/blog-articles/amazon-coupons-tips-and-tricks/)
|
| 132 |
+
|
| 133 |
+

|
| 134 |
+
|
| 135 |
+
### What You Need To Know About Amazon’s Subscribe & Save Program
|
| 136 |
+
|
| 137 |
+
Author: Tyler Lawson
|
| 138 |
+
|
| 139 |
+
Aug 22, 2024
|
| 140 |
+
|
| 141 |
+
[Read Article](https://goamify.com/blog-articles/what-you-need-to-know-about-amazons-subscribe-save-program/)
|
| 142 |
+
|
| 143 |
+

|
| 144 |
+
|
| 145 |
+
### Amazon Prime Day: The Complete Guide for Sellers
|
| 146 |
+
|
| 147 |
+
Author: Tyler Lawson
|
| 148 |
+
|
| 149 |
+
May 8, 2024
|
| 150 |
+
|
| 151 |
+
[Read Article](https://goamify.com/blog-articles/amazon-prime-day-the-complete-guide-for-sellers/)
|
| 152 |
+
|
| 153 |
+

|
| 154 |
+
|
| 155 |
+
### The Ultimate Amazon A+ Content Guide
|
| 156 |
+
|
| 157 |
+
Author: Tyler Lawson
|
| 158 |
+
|
| 159 |
+
Mar 5, 2024
|
| 160 |
+
|
| 161 |
+
[Read Article](https://goamify.com/blog-articles/the-ultimate-amazon-a-content-guide/)
|
| 162 |
+
|
| 163 |
+
## Contact Us
|
| 164 |
+
|
| 165 |
+
Learn more about how we can help your Amazon business succeed!
|
| 166 |
+
|
| 167 |
+
- [hello@goamify.com](mailto:hello@goamify.com)
|
| 168 |
+
- 2722 Erie Ave STE 219, #80215 Cincinnati, OH 45308
|
| 169 |
+
|
| 170 |
+
First name(Required)
|
| 171 |
+
|
| 172 |
+
Last name(Required)
|
| 173 |
+
|
| 174 |
+
Email address(Required)
|
| 175 |
+
|
| 176 |
+
Phone number(Required)
|
| 177 |
+
|
| 178 |
+
Company name(Required)
|
| 179 |
+
|
| 180 |
+
Industry(Required)
|
| 181 |
+
|
| 182 |
+
IndustryAMZ: AppliancesAMZ: Apps & GamesAMZ: Arts, Crafts & SewingAMZ: Automotive Parts & AccessoriesAMZ: BabyAMZ: Beauty & Personal CareAMZ: BooksAMZ: CD's & VinylAMZ: Cell Phones & AccessoriesAMZ: Clothing, Shoes & JewelryAMZ: Collectibles & Fine ArtAMZ: ComputersAMZ: ElectronicsAMZ: Garden & OutdoorAMZ: Grocery & Gourmet FoodAMZ: HandmadeAMZ: Health & HouseholdAMZ: Home & KitchenAMZ: Industrial & ScientificAMZ: Luggage & Travel GearAMZ: Movies & TVAMZ: Musical InstrumentsAMZ: Office ProductsAMZ: OtherAMZ: Pet SuppliesAMZ: Sports & OutdoorsAMZ: Tools & Home ImprovementAMZ: Toys & GamesAMZ: Video GamesUNKNOWN
|
| 183 |
+
|
| 184 |
+
Message
|
| 185 |
+
|
| 186 |
+
Agree(Required)
|
| 187 |
+
|
| 188 |
+
I have read and agree to the [Privacy Policy](https://cart.com/privacy)
|
| 189 |
+
|
| 190 |
+
This field is hidden when viewing the form
|
| 191 |
+
|
| 192 |
+
utm\_campaign
|
| 193 |
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| 194 |
+
This field is hidden when viewing the form
|
| 195 |
+
|
| 196 |
+
utm\_content
|
| 197 |
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|
| 198 |
+
This field is hidden when viewing the form
|
| 199 |
+
|
| 200 |
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utm\_medium
|
| 201 |
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|
| 202 |
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This field is hidden when viewing the form
|
| 203 |
+
|
| 204 |
+
utm\_source
|
| 205 |
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|
| 206 |
+
This field is hidden when viewing the form
|
| 207 |
+
|
| 208 |
+
utm\_term
|
| 209 |
+
|
| 210 |
+
This field is hidden when viewing the form
|
| 211 |
+
|
| 212 |
+
I'm Interested In...
|
| 213 |
+
|
| 214 |
+
Comments
|
| 215 |
+
|
| 216 |
+
This field is for validation purposes and should be left unchanged.
|
| 217 |
+
|
| 218 |
+
Submit
|
| 219 |
+
|
| 220 |
+
[iframe](about:blank)
|
| 221 |
+
|
| 222 |
+
[iframe](https://www.google.com/recaptcha/api2/anchor?ar=1&k=6Lft4YwqAAAAADkH9oa4xJGBq3lkVDdUlw_jG0bc&co=aHR0cHM6Ly9nb2FtaWZ5LmNvbTo0NDM.&hl=en&v=pPK749sccDmVW_9DSeTMVvh2&size=invisible&cb=lpcupdchi51v)
|
hiring.amazon.com_gap_analysis.txt
ADDED
|
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|
| 1 |
+
Skip to content
|
| 2 |
+
|
| 3 |
+
Promotional banner
|
| 4 |
+
|
| 5 |
+
**Wages have increased by $1.50/hr or more!**
|
| 6 |
+
|
| 7 |
+
Apply now to earn higher pay. [Find jobs near you.](https://hiring.amazon.com/search/featured-warehouse-jobs)
|
| 8 |
+
|
| 9 |
+
Close banner promotional banner
|
| 10 |
+
|
| 11 |
+
# Career Advancement
|
| 12 |
+
|
| 13 |
+
## Step into your new career path
|
| 14 |
+
|
| 15 |
+
Get access to new skills training, tuition support, a variety of certifications, and much more, so that you can build your future at Amazon – or somewhere else.
|
| 16 |
+
|
| 17 |
+
### What you can expect from us
|
| 18 |
+
|
| 19 |
+

|
| 20 |
+
|
| 21 |
+
### 200,000
|
| 22 |
+
|
| 23 |
+
participants and counting
|
| 24 |
+
|
| 25 |
+
### $579+
|
| 26 |
+
|
| 27 |
+
million invested in tuition
|
| 28 |
+
|
| 29 |
+
### 400+
|
| 30 |
+
|
| 31 |
+
educational partners in the United States
|
| 32 |
+
|
| 33 |
+
### 10
|
| 34 |
+
|
| 35 |
+
programs for you to improve your skills
|
| 36 |
+
|
| 37 |
+
### 35+
|
| 38 |
+
|
| 39 |
+
pathways and industry certifications
|
| 40 |
+
|
| 41 |
+
### 50
|
| 42 |
+
|
| 43 |
+
states offer career advancement programs
|
| 44 |
+
|
| 45 |
+

|
| 46 |
+
|
| 47 |
+

|
| 48 |
+
|
| 49 |
+
### You can thrive with great opportunities
|
| 50 |
+
|
| 51 |
+

|
| 52 |
+
|
| 53 |
+
**Higher Education Support**
|
| 54 |
+
|
| 55 |
+
Get help throughout your career path while you are in school, when you work a regular, full-time role.
|
| 56 |
+
|
| 57 |
+
[Learn More →](https://hiring.amazon.com/why-amazon/career-advancement/higher-education-support#/)
|
| 58 |
+
|
| 59 |
+

|
| 60 |
+
|
| 61 |
+
**Apprenticeships & Certifications**
|
| 62 |
+
|
| 63 |
+
Take advantage of on-the-job and instructor-led training to help you further your career, faster.
|
| 64 |
+
|
| 65 |
+
[Learn More →](https://hiring.amazon.com/why-amazon/career-advancement/apprenticeships-certifications)
|
| 66 |
+
|
| 67 |
+

|
| 68 |
+
|
| 69 |
+
**Mentorships & Development**
|
| 70 |
+
|
| 71 |
+
Meet and learn from mentors in your field so that you can pursue upward mobility with guidance.
|
| 72 |
+
|
| 73 |
+
[Learn More →](https://hiring.amazon.com/why-amazon/career-advancement/mentorships-development)
|
| 74 |
+
|
| 75 |
+
#### See how others have achieved success
|
| 76 |
+
|
| 77 |
+
[iframe](https://www.youtube.com/embed/yZwv8y8hE8M?rel=0&showinfo=0&enablejsapi=1)
|
| 78 |
+
|
| 79 |
+

|
| 80 |
+
|
| 81 |
+
Career Choice will make your future better
|
| 82 |
+
|
| 83 |
+
**_— Marivic, former Delivery Station associate and current EKG Technician_**
|
| 84 |
+
|
| 85 |
+
#### Your path forward
|
| 86 |
+
|
| 87 |
+

|
| 88 |
+
|
| 89 |
+
Start as an hourly employee
|
| 90 |
+
|
| 91 |
+

|
| 92 |
+
|
| 93 |
+
Work while you go through your schooling
|
| 94 |
+
|
| 95 |
+

|
| 96 |
+
|
| 97 |
+
Get funding assistance for your education
|
| 98 |
+
|
| 99 |
+

|
| 100 |
+
|
| 101 |
+
Find your new career with us or elsewhere
|
| 102 |
+
|
| 103 |
+
#### Ready to get started?
|
| 104 |
+
|
| 105 |
+
Explore our [Hiring Process](https://hiring.amazon.com/hiring-process), [Application Guide](https://hiring.amazon.com/hiring-process/application-guide), [Accommodations](https://hiring.amazon.com/accommodations), and [FAQs](https://hiring.amazon.com/faq)
|
| 106 |
+
|
| 107 |
+
[Search All Jobs](https://hiring.amazon.com/app#/jobSearch)
|
| 108 |
+
|
| 109 |
+
Receive news and updates about jobs at Amazon.
|
| 110 |
+
|
| 111 |
+
Email or phone number \*
|
| 112 |
+
|
| 113 |
+
Zipcode \*
|
| 114 |
+
|
| 115 |
+
Sign up for job alerts
|
| 116 |
+
|
| 117 |
+
By signing up to job alerts, you agree to the [Privacy Policy.](https://hiring.amazon.com/privacy-notice#/) By participating, you agree to the [SMS terms and privacy policy](https://hiring.amazon.com/privacy-notice/sms-terms-of-service) for recurring autodialed marketing messages from Amazon, to the phone number you provide. No consent required to buy. Message and data rates may apply.
|
| 118 |
+
|
| 119 |
+
JOIN US NOW
|
| 120 |
+
|
| 121 |
+
[facebookfacebook](https://www.facebook.com/AmazonFulfillmentJobs/)
|
| 122 |
+
|
| 123 |
+
[instagraminstagram](https://www.instagram.com/amazonjobs/)
|
| 124 |
+
|
| 125 |
+
[x-twitterx-twitter](https://x.com/AmazonJobs)
|
| 126 |
+
|
| 127 |
+
[linkedinlinkedin](https://www.linkedin.com/groups/4461385/profile)
|
| 128 |
+
|
| 129 |
+
GET STARTED
|
| 130 |
+
|
| 131 |
+
[Hiring Process](https://hiring.amazon.com/hiring-process)
|
| 132 |
+
|
| 133 |
+
[Application Guide](https://hiring.amazon.com/hiring-process/application-guide)
|
| 134 |
+
|
| 135 |
+
JOB OPPORTUNITIES
|
| 136 |
+
|
| 137 |
+
[Amazon Jobs Overview](https://hiring.amazon.com/job-opportunities)
|
| 138 |
+
|
| 139 |
+
[Job Search](https://hiring.amazon.com/app#/jobSearch)
|
| 140 |
+
|
| 141 |
+
[Jobs by Location](https://hiring.amazon.com/locations)
|
| 142 |
+
|
| 143 |
+
[Jobs by Type](https://hiring.amazon.com/search)
|
| 144 |
+
|
| 145 |
+
WHY AMAZON
|
| 146 |
+
|
| 147 |
+
[Benefits](https://hiring.amazon.com/why-amazon/benefits)
|
| 148 |
+
|
| 149 |
+
[Our Culture](https://hiring.amazon.com/why-amazon/culture)
|
| 150 |
+
|
| 151 |
+
[Work-Life Balance](https://hiring.amazon.com/why-amazon/work-life-balance)
|
| 152 |
+
|
| 153 |
+
[Career Advancement](https://hiring.amazon.com/why-amazon/career-advancement)
|
| 154 |
+
|
| 155 |
+
RESOURCES
|
| 156 |
+
|
| 157 |
+
[FAQs](https://hiring.amazon.com/faq)
|
| 158 |
+
|
| 159 |
+
[People with Disabilities](https://hiring.amazon.com/people-with-disabilities)
|
| 160 |
+
|
| 161 |
+
[Contact us](https://hiring.amazon.com/contact-us)
|
| 162 |
+
|
| 163 |
+

|
| 164 |
+
|
| 165 |
+
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.
|
| 166 |
+
|
| 167 |
+
[EEO Law](https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf)
|
| 168 |
+
|
| 169 |
+
[Privacy Notice](https://hiring.amazon.com/privacy-notice)
|
| 170 |
+
|
| 171 |
+
© 1996-2024, Amazon.com, Inc. or its affiliates
|
| 172 |
+
|
| 173 |
+
We use cookies and other tracking technologies to assist with navigation, improve our products and services, assist with our marketing efforts, and provide content from third parties, in accordance with our [Privacy Policy.](/privacy-notice#/)
|
| 174 |
+
|
| 175 |
+
I consent
|
| 176 |
+
|
| 177 |
+

|
| 178 |
+
|
| 179 |
+
[iframe](//s.amazon-adsystem.com/iu3?d=generic&ex-fargs=%3Fid%3De232553d-819d-d710-40fa-3b3581ecaf59%26type%3D6%26m%3D1&ex-fch=416613&ex-src=https://hiring.amazon.com/&ex-hargs=v%3D1.0%3Bc%3D4122616640701%3Bp%3DE232553D-819D-D710-40FA-3B3581ECAF59&cb=374783246774701900)
|
hopstack.io_gap_analysis.txt
ADDED
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| 1 |
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[All Posts](https://www.hopstack.io/blogs)
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[Amazon Sellers](https://www.hopstack.io/blog-tags/amazon-sellers)
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[Ecommerce Challenges](https://www.hopstack.io/blog-tags/ecommerce-challenges)
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[Fulfillment Solutions](https://www.hopstack.io/blog-tags/fulfillment-solutions)
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[Amazon FBA](https://www.hopstack.io/blog-tags/amazon-fba)
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# Top 8 Amazon Challenges in 2024 & Their Solutions
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By
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Team Hopstack
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February 10, 2022
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•
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5 min read
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Amazon challenges and problems have haunted the Amazon FBA sellers in recent past. There is no doubt that even in 2024 Amazon provides a stellar system for merchants to reach out to their customers and fulfill orders in an efficient manner.
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That is the reason why over 300 million people globally buy on the Amazon marketplace each year and over [2.5M third-party sellers](https://techjury.net/blog/amazon-statistics/) (FBA and FBM) are active on the platform.
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However, selling on Amazon comes with its own set of Amazon challenges and drawbacks. What makes matters more complicated is the fulfillment process carried out by Amazon and the exorbitant fees that take away control from the original merchant and make fulfillment a costly affair.
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This is why the in 2024, majority of Amazon sellers prefer to adopt a different strategy as they grow in revenue and customers. They may turn to the Fulfilled-by-Merchant strategy or may do a combination of FBA and FBM. Some may completely part ways with Amazon and manage sales channels, orders, inventory, and fulfillment independently. This helps them retain control and lower operational costs at scale.
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## Top 8 Amazon Challenges Faced By Sellers
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Here is a guide on the most common challenges faced by Amazon sellers on the platform face and what they need to bring their fulfillment process in-house.
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### 1\. Compromised Cash Flow
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Amazon has a strict structure around payouts. Usually, the [payouts are made every two weeks](https://sell.amazon.in/seller-blog/how-payments-work-for-online-selling#:~:text=Generally%2C%20Amazon%20first%20settles%20your,process%20repeats%20every%207%20days.). On the other hand, vendors need to pay to acquire/produce inventory that they later sell on Amazon and other channels. Many manufacturers in China, for example, expect a 25% payment upfront.
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The manufacturing process, coupled with shipping, customs clearance, and Amazon payout cycles could mean a merchant gets paid after 3-4 months post the advanced payment for obtaining the goods. This way, the Amazon sellers are subject to long periods of time before they achieve any return on their investment in inventory.
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Cash flow is certainly one of the massive challenges faced by Amazon merchants that sell on Amazon. One solution to this problem is setting up one’s own sales channels such as an e-commerce store. This way a merchant can retain control over sales and also be the direct recipient of payouts anytime a sale is made. This also helps in eliminating Amazon as an intermediary in the payments process. More details of how Amazon charges for its services can be found later in the article.
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### 2\. High Degree of Competition
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Another one of the key challenges faced by Amazon sellers is that it allows a large number of sellers to sell the same product. At the same time, the barrier to entry for sellers on the Amazon platform is extremely low.
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Unless the merchants are selling an exclusive product, they are always competing with a large number of other players. The excessive competition also makes it typically hard to be discovered by enough customers to convert more sales. The said competition isn’t just local. Out of the 900,000 Amazon sellers registered in the United States, [almost 38% of them are based out of China](https://www.modernretail.co/retailers/amazon-briefing-the-relationship-between-chinese-sellers-and-amazon-is-straining/) where manufacturing goods is a lot cheaper giving them an opportunity to penetrate the market with lower prices.
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In fact, in 2020, [2/3rd of all Amazon FBA](https://www.junglescout.com/amazon-seller-report/) sellers interviewed in a survey expressed concern and fear over the increased competition leading to a steep decline in prices.
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Having one’s exclusive sales channels and marketing mediums provides merchants a chance to create a unique positioning for their products and go one step further in building the brand that they wish to.
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Monthly roundup of top stories in e-commerce fulfillment and warehousing.
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Submission Received! Keep an eye out on your inbox for our upcoming editions.
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Oops! Something went wrong while submitting the form.
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### 3\. Packaging Restrictions
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Amazon has strict guidelines on how products must be sent to the Amazon Fulfillment Centers. The company has over the years suggested certain box sizes and deviations from them could either slow down the process or worse, may render the entire consignment improper. In the latter case, the items are sent back to the merchant and all costs associated with the activities completed previously are borne by the merchants.
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The challenges faced by Amazon company sellers here are the charges for both the delivery and the return from the Amazon warehouse are paid for by the Amazon FBA sellers. This also poses a major opportunity cost since the inventory stuck in transit/inspection could have been sold on other channels. There are various other reasons why Amazon could reject shipments such as unaffiliated shipping partners, failing to meet Amazon pallet requirements, cancellation due to delay, etc.
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Both FBA and FBM merchants are bound by policies that dictate their packaging process. The packaging process typically consists of two pillars, the labeling and the actual packaging of individual products and the consignments sent out to the Amazon Fulfillment Centres. Amazon expects each merchant to follow international labeling standards for their manufacturing labels, Amazon labels (such as FNSKU), and brand owner labeling (to prevent counterfeiting of high-value items).
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Amazon sellers also have a choice to let Amazon produce labels for their individual product units. However, the FBA Label Service may turn out to be costly for low-margin products as Amazon charges [about £0.15 or $0.20](https://www.optimizon.co.uk/amazon-knowhow/amazon-packaging-requirements-everything-you-need-to-know/) for each unit it generates and places a label on.
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Once the merchant has taken care of the labeling and the barcodes, the next step is to adhere to all the packaging requirements for selling on the Amazon platform. Amazon has rigid guidelines around [loose products, sets, boxed units, polybagged units, and case-packed products](https://sellercentral.amazon.com/gp/help/external/G200141500?language=en_US) where each box with the same product must have the same number of units and the same SKUs. This ends up adding to the operational complexity and the costs associated with the fulfillment process.
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One of the another problems faced by Amazon sellers is that Merchants do also have the alternate FBA Prep Service, where Amazon prepares the consignments to be sent to the Fulfillment Centers and properly packages the products. However, the cost of this service can range anywhere from $0.95 to $3 and isn’t available for each category of product.
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Similarly, merchants can also choose to buy the recommended packaging material from providers of Amazon Preferred Packaging, but, this again isn’t cheap and may not be suitable for lower margin products.
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### 4\. Strict Inventory Expectations
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One of the biggest Amazon challenges is that Merchants on Amazon are expected to maintain prescribed levels of inventory at all points. Too little inventory with high turnover means frequent stockouts. High levels of inventory that doesn’t liquidate for longer periods of time means high storage charges and penalties imposed by Amazon. Both situations tend to impact a seller’s performance on the Amazon marketplace.
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Businesses in today’s age need an [algorithmic forecasting and recommendation](https://hopstack.io/features) system to attain optimal inventory levels based on historical inventory and sales data. This helps companies save on inventory holding costs and drive higher customer satisfaction and retention.
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Amazon doesn’t just have restrictions around inventory levels but it uses a metric called Inventory Performance Index (IPI) to assess a seller’s handling of inventory. The metric is based on the 12-month performance of four components, excess inventory, sell-through rate, stranded inventory, and in-stock inventory.
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There are quite a few disadvantages associated with a low IPI score. First, Amazon sellers with lower IPI scores may have their products show up lower in the search results. This leads to them losing their product positions to their competitors in an already highly competitive environment. A lower IPI score can also lead to sellers [losing on the Amazon Buy Box](https://feedvisor.com/university/amazon-buy-box/) leading to other vendors for the same being prioritized in the product page on the platform.
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The problem faced by Amazon sellers is that they may also lose their Amazon Prime status making their listings less appealing to the consumers in the age of rapid and expedited deliveries. This way, an Amazon seller is totally dependent on Amazon for how well their products are discoverable to the consumers and if they get the Amazon Prime tag.
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Currently, due to the COVID-19 pandemic that has caused severe disturbances to inventory and supply chain operations, the recommended IPI score is between 300-700. However, as of the 2021 Holiday Season, Amazon has also started using the IPI to prescribe certain limits on the restock quantity and the storage space allocated to a fba seller with some sellers only being allowed up to 25 cubic feet worth of inventory.
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Vendors with [IPI scores of less than 500](https://www.sellerapp.com/blog/amazon-fba-storage-limits/) are subject to losing out on allocated storage space and are supposed to operate under the limits imposed on them. There is no way a merchant can appeal these restrictions and has to wait till the next quarter when the inventory performance is reassessed and new IPI scores are computed.
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### 5\. High Amazon Fees
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The last but not least in this Amazon challenges list is that Amazon charges medium to high Amazon fba fees for its services at every step of the process. These charges range from one-time to regular. As these charges pile up, some Amazon FBA sellers have even recorded up to [53% of their entire revenue going to Amazon](https://www.molsonhart.com/blog/clarifying-the-costs-of-selling-on-various-marketplaces) in the form of various fees and charges. Even for the FBM or Fulfillment-by-merchant model, sellers have had their Amazon-related costs as high as 27% only for the product listing and any search ads they may have run.
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First-off, Amazon charges 39.99 for setting up an Amazon seller account for ‘Professional Sellers’. This is a recurring monthly payment irrespective of the number of products and volume of sales. Additionally, merchants must also pay the referral fee or commonly called the commission. This [ranges anywhere from 6-45%](https://fitsmallbusiness.com/amazon-seller-fees/#1) depending on the retail price and the product category.
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The referral fee is bound by the ‘Minimum Referral Fee’ which sets the lower threshold for the commission in each category. The Minimum Referral Fee is typically 0-2% depending on the category. The biggest contributor to the costs is by far the fulfillment fees under the Amazon FBA program. Amazon clubs the picking, packing, and shipping costs as one and it is to be paid for by the merchants.
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These costs can range anywhere from $2 to $6.8 in the US depending on the size, weight, and category of the products. Additionally, a lot of sellers do fall prey to the storage fees if their inventory is not liquidating quickly enough. Amazon normally charges $.75 per cubic foot for most parts of the year but during the October-December period, the charge is around $2.4 per cubic foot of storage space used. In order to keep up with the demand and the competition during this period, sellers end up paying exorbitant amounts towards storage that hampers their profitability.
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To top it all, it is becoming increasingly difficult for merchants to rank higher on search results without the use of paid advertising. 3 out of 10 top results on Amazon are normally the products being promoted for the keyword/category. In fact, [Amazon earned over $9.7B](https://finshots.in/archive/amazon-the-advertising-giant/) from their advertising segment only in 2021. This leads to sellers bearing more costs in addition to their regular promotion and marketing spends.
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### **6\. Counterfeiting and intellectual property issues**
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In the evolving landscape of Amazon's marketplace in 2024, sellers are increasingly grappling with the challenge of counterfeiting and intellectual property (IP) issues. This challenge is multifaceted, involving not just the loss of sales, but also the potential erosion of brand reputation and customer trust. Counterfeiters and unscrupulous competitors may list unauthorized replicas or copycat versions of products, effectively duping customers and diluting the brand’s market presence. This situation can lead to a significant decline in the perceived value of the original products, making it harder for legitimate sellers to maintain their market position.
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To effectively combat this issue, Amazon sellers must adopt a proactive and comprehensive approach towards brand protection. This involves regular monitoring of the marketplace for any unauthorized listings that infringe on their intellectual property. Sellers should be vigilant in identifying and reporting such listings to Amazon, leveraging the platform's mechanisms for handling counterfeit and IP infringement cases. However, this is not a one-time effort but an ongoing process requiring consistent attention and resources.
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One pivotal tool in a seller's arsenal is Amazon's Brand Registry program. By enrolling in this program, sellers can gain more control over their product listings, ensuring that their brand is accurately represented on the platform. The Brand Registry aids in safeguarding against counterfeiters, as it provides sellers with advanced tools to search Amazon for potentially infringing content, using custom criteria like their brand name, trademarks, or even product images. Additionally, it streamlines the process of reporting violations, making it more efficient for sellers to take action against infringers.
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Beyond Amazon's internal tools, sellers should also consider broader strategies for brand protection. This includes legal measures like securing trademarks and patents, as well as developing unique product features or packaging that are harder to replicate. Educating customers about the value and unique aspects of their products can also play a crucial role in building a loyal customer base that is less likely to fall prey to counterfeit products. Furthermore, engaging with customers through social media and other channels can help in quickly identifying and responding to counterfeit issues as they arise
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### 7\. Customer Review Management
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In the competitive arena of Amazon's marketplace, review management emerges as a crucial element for sellers, playing a pivotal role in shaping consumer perception and decision-making. The impact of reviews on Amazon extends far beyond mere ratings; they form the backbone of a product's credibility and significantly influence the buying behavior of potential customers. In this context, sellers are faced with the complex task of not just fostering positive reviews but also addressing the inevitable negative feedback that can arise.
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The challenge of managing reviews on Amazon is multifaceted. Positive reviews act as a powerful endorsement, boosting the visibility and desirability of a product. They serve as social proof, reassuring potential buyers about the quality and reliability of what they are considering purchasing. Conversely, negative reviews can have a disproportionately damaging effect. Even a single negative review, if left unaddressed, can deter potential customers, leading to a decline in sales and an adverse impact on the seller’s reputation. This issue is compounded by the fact that dissatisfied customers are often more motivated to leave reviews, potentially skewing the overall perception of a product.
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The complexity of review management is further heightened by the diverse nature of customer feedback. Reviews can range from constructive criticism and genuine grievances to subjective opinions and unrealistic expectations. Sellers must navigate this landscape carefully, discerning between different types of negative feedback and understanding the underlying concerns of their customers. This process is not just about damage control but also about gaining valuable insights into customer preferences and expectations, which can inform product improvements and customer service enhancements.
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Additionally, the authenticity of reviews has become a growing concern on Amazon. The platform's strict policies against incentivized or fake reviews put sellers in a difficult position. They must encourage genuine customer feedback without violating Amazon's guidelines, which is a delicate balancing act. The authenticity of reviews is critical not only for maintaining trust with customers but also for adhering to Amazon's standards, which can affect a seller's standing on the platform.
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### **8\. Account security and fraud prevention**
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Account security and fraud prevention have emerged as critical issues for Amazon sellers in recent years, reflecting the broader challenges of operating in the digital marketplace. As online retail continues to grow, the threats posed by fraudulent activities and security breaches have become more sophisticated and frequent, posing a significant risk to both sellers and consumers. For Amazon sellers, the stakes are particularly high, as issues related to account security and fraud can have far-reaching consequences on their business operations, financial stability, and reputation.
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The nature of these security challenges is diverse and constantly evolving. Sellers face threats from various fronts, including phishing attempts, unauthorized account access, fraudulent transactions, and even sophisticated cyberattacks aimed at compromising seller accounts. These security breaches can lead to a range of adverse outcomes, such as the theft of sensitive information, financial losses, unauthorized listings or changes to product information, and the potential for compromised customer data. The impact of such incidents can be devastating, eroding customer trust and damaging the seller's reputation, sometimes irreparably.
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One of the primary concerns for Amazon sellers is the protection of their account credentials and sensitive business information. Cybercriminals often employ deceptive tactics to gain access to seller accounts, using methods like phishing emails, fake websites, or social engineering. Once they gain access, they can manipulate product listings, divert payments, or engage in other fraudulent activities. This not only leads to immediate financial losses but can also have long-term implications, such as the suspension of the seller's account by Amazon due to suspicious activities, which can be a significant setback.
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Additionally, sellers must contend with the issue of fraudulent transactions and counterfeit products. There are instances where fraudulent buyers exploit Amazon's return and refund policies, leading to financial losses for sellers. Moreover, the rise in counterfeit products not only affects the sales of genuine sellers but also poses risks to customers, thereby harming the overall trust in the Amazon platform.
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Fraud prevention and maintaining account security thus require constant vigilance and a proactive approach from sellers. This involves staying informed about the latest security threats and fraud trends, implementing robust security practices (such as two-factor authentication and regular password changes), and educating themselves and their teams about recognizing and avoiding potential scams. Furthermore, sellers should regularly monitor their accounts for any unusual activity and report any suspicious behavior to Amazon immediately.
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## How To Solve Challenges Faced By Amazon FBA Sellers
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As manufacturing and trading companies grow in revenue and volume of units sold, there is an innate need for them to set up their own fulfillment operations. This involves setting up their own order fulfillment warehouses and tying up with a shipping service such as FedEx, UPS, etc. Taking ownership and control of the entire fulfillment cycle proves to be beneficial to a growing company and solving challenges faced by Amazon in many ways such as:
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### **Consistency in Storage Fee**
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Maintaining a dedicated warehouse offers sellers the advantage of greater control over their inventory and helps mitigate the impact of fluctuations in storage fees, a concern often tied to seasonality or changes in inventory performance metrics, such as Amazon's Inventory Performance Index (IPI).
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| 151 |
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One key benefit of using a dedicated warehouse is the ability to plan and manage inventory storage costs more effectively. Unlike Amazon's fulfillment services, where storage fees can vary based on factors like seasonal demand or a seller's IPI score, having a dedicated warehouse provides a consistent cost structure. Sellers can forecast storage expenses with greater accuracy, facilitating more precise budgeting and financial planning.
|
| 152 |
+
|
| 153 |
+
### **No Seasonal Restrictions**
|
| 154 |
+
|
| 155 |
+
**** As discussed above, Amazon may at any point in time, impose limitations on the storage space allocated and the restock quantities allowed to a merchant. This is the reason why the number of [FBM sellers grew by over 20% in 2021](https://www.junglescout.com/amazon-seller-report/). FBM allows sellers to have full control over their warehouse space utilization.
|
| 156 |
+
|
| 157 |
+
Additionally, Amazon's Fulfillment by Amazon (FBA) program, while offering convenience and a wide-reaching customer base, comes with potential drawbacks, such as seasonal limitations on storage capacity. During peak seasons or when inventory performance metrics fluctuate, FBA sellers may encounter restrictions on the volume of goods they can store in Amazon's fulfillment centers. This limitation can be a significant hurdle for sellers looking to capitalize on seasonal demand or fluctuations in market trends.
|
| 158 |
+
|
| 159 |
+
### **Control over Fees and Costs**
|
| 160 |
+
|
| 161 |
+
Operating independent fulfillment operations outside of Amazon's services grants businesses greater control over their cost structures, liberating them from potential challenges associated with Amazon's fee structures and pricing policies.
|
| 162 |
+
|
| 163 |
+
One significant advantage of managing fulfillment independently is the ability to avoid certain fees imposed by Amazon. For example, third-party sellers using Fulfillment by Amazon (FBA) are subject to fees for storage, order fulfillment, and additional services. By handling fulfillment in-house, businesses can eliminate or reduce these fees, leading to potential cost savings. This independence allows companies to make strategic decisions about their fulfillment processes, optimizing them for efficiency and cost-effectiveness.
|
| 164 |
+
|
| 165 |
+
### **Inventory Control**
|
| 166 |
+
|
| 167 |
+
**** Should a company wish to move its inventory out of Amazon’s warehouses, it is subject to high fees and taxes. This is a major issue faced by sellers and is all the more severe in the age of the pandemic where [93% of all SME Amazon sellers](https://www.junglescout.com/blog/supply-chain-disruptions/) have experienced supply chain disruptions. However, this can be prevented with the company's own independent warehouses.
|
| 168 |
+
|
| 169 |
+
The pandemic has been a challenging period for all retailers alike, e-commerce or not. One important lesson learnt is that Amazon doesn’t always have the sellers’ best interests in mind. That’s why so many companies, [from multi-billion dollar Nike](https://www.forbes.com/sites/forbesbusinesscouncil/2020/01/22/why-nike-cut-ties-with-amazon-and-what-it-means-for-other-retailers/?sh=35d260f64ff6) to SMEs are parting ways with Amazon and taking charge of their fulfillment process. A lot of scaling businesses are beginning to realize that the benefits of taking ownership of their operations far outweigh the vast network Amazon provides.
|
| 170 |
+
|
| 171 |
+
The move from an arrangement like the [Amazon FBA](https://www.hopstack.io/blog/fulfillment-by-amazon-fba) to insourced [order fulfillment](https://www.hopstack.io/order-fulfillment-guide) is complex and challenging for large and small businesses alike. Firstly, they must find and compare different shipping services that can provide the transportation infrastructure suitable for their products and the target market. Similarly, they also need to have a robust [Warehouse Management System (WMS)](https://hopstack.io/) that can assist and automate the activity of providing data-driven actionable insights for better inventory control, multi-channel [order management](https://www.hopstack.io/warehouse-order-management) and batching, picking and [warehouse packing processes](https://www.hopstack.io/automated-warehouse-packing), and overall fulfillment efficiency.
|
| 172 |
+
|
| 173 |
+
[Schedule a demo](https://hopstack.io/demosignup) today to understand how Hopstack’s AI-driven WMS can help you supercharge your [warehousing operations](https://www.hopstack.io/blog/iot-can-transform-warehouse-operations) and can make the switch to in-house fulfillment seamless!
|
| 174 |
+
|
| 175 |
+
[All tags](https://www.hopstack.io/blog-tags) [All categories](https://www.hopstack.io/categories)
|
| 176 |
+
|
| 177 |
+
Table of Contents
|
| 178 |
+
|
| 179 |
+
[Top 8 Amazon Challenges Faced By Sellers](https://www.hopstack.io/blog/challenges-faced-by-amazon-fba-sellers#top-8-amazon-challenges-faced-by-sellers) [How To Solve Challenges Faced By Amazon FBA Sellers](https://www.hopstack.io/blog/challenges-faced-by-amazon-fba-sellers#how-to-solve-challenges-faced-by-amazon-fba-sellers)
|
| 180 |
+
|
| 181 |
+
Modern Digital Warehousing and Fulfillment Platform
|
| 182 |
+
|
| 183 |
+
Modern Digital Warehousing and Fulfillment Platform
|
| 184 |
+
|
| 185 |
+
[Schedule a Demo Now](https://www.hopstack.io/demo)
|
| 186 |
+
|
| 187 |
+
Subscribe to newsletter
|
| 188 |
+
|
| 189 |
+
Share this post
|
| 190 |
+
|
| 191 |
+
false
|
| 192 |
+
|
| 193 |
+
## Similar Blog Posts
|
| 194 |
+
|
| 195 |
+
[\\
|
| 196 |
+
\\
|
| 197 |
+
Team Hopstack\\
|
| 198 |
+
\\
|
| 199 |
+
• \\
|
| 200 |
+
\\
|
| 201 |
+
September 18, 2024\\
|
| 202 |
+
\\
|
| 203 |
+
**Amazon FBA’s Prep and Packaging Requirements Explained (2024)**\\
|
| 204 |
+
\\
|
| 205 |
+
Everything you need to know about Amazon FBA's prep and packaging requirements to avoid penalties, inventory returns, an...](https://www.hopstack.io/blog/fba-prep-and-packaging-requirements)
|
| 206 |
+
|
| 207 |
+
E-Commerce
|
| 208 |
+
|
| 209 |
+
[\\
|
| 210 |
+
\\
|
| 211 |
+
Team Hopstack\\
|
| 212 |
+
\\
|
| 213 |
+
• \\
|
| 214 |
+
\\
|
| 215 |
+
August 30, 2024\\
|
| 216 |
+
\\
|
| 217 |
+
**Fulfillment by Amazon (FBA): Everything Sellers Need to Know**\\
|
| 218 |
+
\\
|
| 219 |
+
A comprehensive guide to Amazon FBA for sellers to mastering selling on Amazon including, what it is, benefits, FBA fees...](https://www.hopstack.io/blog/fulfillment-by-amazon-fba)
|
| 220 |
+
|
| 221 |
+
E-Commerce
|
| 222 |
+
|
| 223 |
+
[\\
|
| 224 |
+
\\
|
| 225 |
+
Team Hopstack\\
|
| 226 |
+
\\
|
| 227 |
+
• \\
|
| 228 |
+
\\
|
| 229 |
+
July 18, 2024\\
|
| 230 |
+
\\
|
| 231 |
+
**Amazon FBA vs 3PL: Choosing the Right Fulfillment Partner for Amazon Sellers**\\
|
| 232 |
+
\\
|
| 233 |
+
In this blog, we compare the two main outsourced fulfillment services for Amazon sellers - Amazon FBA and Third-party Lo...](https://www.hopstack.io/blog/amazon-fba-vs-3pl)
|
| 234 |
+
|
| 235 |
+
E-Commerce
|
| 236 |
+
|
| 237 |
+
3PL
|
icp_api.py
ADDED
|
@@ -0,0 +1,319 @@
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|
|
|
|
|
| 1 |
+
from datetime import datetime
|
| 2 |
+
from firecrawl import FirecrawlApp
|
| 3 |
+
import json
|
| 4 |
+
import os
|
| 5 |
+
from googlesearch import search
|
| 6 |
+
import time
|
| 7 |
+
import logging
|
| 8 |
+
|
| 9 |
+
# Import Gemini with error handling
|
| 10 |
+
try:
|
| 11 |
+
import google.generativeai as genai
|
| 12 |
+
GEMINI_AVAILABLE = True
|
| 13 |
+
except ImportError:
|
| 14 |
+
GEMINI_AVAILABLE = False
|
| 15 |
+
logging.warning("Gemini API not available. Installing required package...")
|
| 16 |
+
os.system('pip install google-generativeai')
|
| 17 |
+
try:
|
| 18 |
+
import google.generativeai as genai
|
| 19 |
+
GEMINI_AVAILABLE = True
|
| 20 |
+
except ImportError:
|
| 21 |
+
logging.error("Failed to install google-generativeai package")
|
| 22 |
+
GEMINI_AVAILABLE = False
|
| 23 |
+
|
| 24 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 25 |
+
|
| 26 |
+
# Initialize Firecrawl
|
| 27 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 28 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 29 |
+
logging.info("Firecrawl initialized")
|
| 30 |
+
|
| 31 |
+
# Initialize Gemini if available
|
| 32 |
+
if GEMINI_AVAILABLE:
|
| 33 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 34 |
+
if GOOGLE_API_KEY:
|
| 35 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 36 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 37 |
+
logging.info("Gemini initialized")
|
| 38 |
+
else:
|
| 39 |
+
logging.warning("No Gemini API key found")
|
| 40 |
+
|
| 41 |
+
# Create a folder to store Gemini outputs
|
| 42 |
+
output_folder = 'gemini_outputs'
|
| 43 |
+
os.makedirs(output_folder, exist_ok=True)
|
| 44 |
+
|
| 45 |
+
def extract_domain(url):
|
| 46 |
+
"""Extract domain name from URL"""
|
| 47 |
+
try:
|
| 48 |
+
from urllib.parse import urlparse
|
| 49 |
+
domain = urlparse(url).netloc
|
| 50 |
+
return domain.replace('www.', '')
|
| 51 |
+
except:
|
| 52 |
+
return url
|
| 53 |
+
|
| 54 |
+
def get_icp_data(business_query):
|
| 55 |
+
"""
|
| 56 |
+
Get ICP data using search and Firecrawl with improved rate limiting
|
| 57 |
+
"""
|
| 58 |
+
logging.info(f"\n{'='*50}\nGathering ICP data for: {business_query}\n{'='*50}")
|
| 59 |
+
|
| 60 |
+
result = {
|
| 61 |
+
"demographics": [],
|
| 62 |
+
"psychographics": [],
|
| 63 |
+
"professional": [],
|
| 64 |
+
"pain_points": [],
|
| 65 |
+
"additional_insights": [],
|
| 66 |
+
"sources": []
|
| 67 |
+
}
|
| 68 |
+
|
| 69 |
+
search_queries = [
|
| 70 |
+
f"{business_query} customer profile demographics",
|
| 71 |
+
f"{business_query} target market analysis",
|
| 72 |
+
f"{business_query} customer persona"
|
| 73 |
+
] # Reduced number of queries
|
| 74 |
+
|
| 75 |
+
scraped_content = []
|
| 76 |
+
|
| 77 |
+
def scrape_with_retry(url, max_retries=3):
|
| 78 |
+
"""Helper function to scrape URL with retry logic"""
|
| 79 |
+
for attempt in range(max_retries):
|
| 80 |
+
try:
|
| 81 |
+
response = firecrawl_app.scrape_url(
|
| 82 |
+
url=url,
|
| 83 |
+
params={'formats': ['markdown']}
|
| 84 |
+
)
|
| 85 |
+
if response and 'markdown' in response:
|
| 86 |
+
return response['markdown']
|
| 87 |
+
except Exception as e:
|
| 88 |
+
if "429" in str(e): # Rate limit error
|
| 89 |
+
wait_time = (attempt + 1) * 10
|
| 90 |
+
logging.info(f"Rate limit hit, waiting {wait_time} seconds...")
|
| 91 |
+
time.sleep(wait_time)
|
| 92 |
+
continue
|
| 93 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 94 |
+
time.sleep(2) # Basic delay between attempts
|
| 95 |
+
return None
|
| 96 |
+
|
| 97 |
+
for query in search_queries:
|
| 98 |
+
try:
|
| 99 |
+
logging.info(f"\nSearching for: {query}")
|
| 100 |
+
urls = list(search(
|
| 101 |
+
query,
|
| 102 |
+
num_results=3 # Reduced number of results
|
| 103 |
+
))
|
| 104 |
+
|
| 105 |
+
if not urls:
|
| 106 |
+
logging.warning(f"No URLs found for query: {query}")
|
| 107 |
+
continue
|
| 108 |
+
|
| 109 |
+
for url in urls:
|
| 110 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 111 |
+
content = scrape_with_retry(url)
|
| 112 |
+
if content and len(content) > 200:
|
| 113 |
+
logging.info("Successfully scraped content")
|
| 114 |
+
scraped_content.append({
|
| 115 |
+
'url': url,
|
| 116 |
+
'domain': extract_domain(url),
|
| 117 |
+
'section': 'ICP Analysis',
|
| 118 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 119 |
+
'content': content[:2000] # Limit content size
|
| 120 |
+
})
|
| 121 |
+
break # Break after successful scrape
|
| 122 |
+
|
| 123 |
+
time.sleep(3) # Delay between searches
|
| 124 |
+
|
| 125 |
+
except Exception as e:
|
| 126 |
+
logging.error(f"Error in search: {str(e)}")
|
| 127 |
+
time.sleep(5) # Additional delay on error
|
| 128 |
+
continue
|
| 129 |
+
|
| 130 |
+
if scraped_content:
|
| 131 |
+
try:
|
| 132 |
+
prompt = f"""
|
| 133 |
+
Analyze this content about {business_query}'s customers and create a detailed ICP.
|
| 134 |
+
|
| 135 |
+
Content to analyze:
|
| 136 |
+
{[item['content'] for item in scraped_content]}
|
| 137 |
+
|
| 138 |
+
Provide a comprehensive analysis with these exact sections.
|
| 139 |
+
Mark inferred information with "(Inferred)".
|
| 140 |
+
|
| 141 |
+
DEMOGRAPHICS:
|
| 142 |
+
• Age Range
|
| 143 |
+
• Income Level
|
| 144 |
+
• Location
|
| 145 |
+
• Education
|
| 146 |
+
|
| 147 |
+
PSYCHOGRAPHICS:
|
| 148 |
+
• Values and Beliefs
|
| 149 |
+
• Lifestyle
|
| 150 |
+
• Interests
|
| 151 |
+
• Behaviors
|
| 152 |
+
|
| 153 |
+
PROFESSIONAL CHARACTERISTICS:
|
| 154 |
+
• Industry
|
| 155 |
+
• Company Size
|
| 156 |
+
• Role/Position
|
| 157 |
+
• Decision Making Authority
|
| 158 |
+
|
| 159 |
+
PAIN POINTS & NEEDS:
|
| 160 |
+
• Key Challenges
|
| 161 |
+
• Motivations
|
| 162 |
+
• Goals
|
| 163 |
+
• Purchase Triggers
|
| 164 |
+
|
| 165 |
+
ADDITIONAL INSIGHTS:
|
| 166 |
+
• Unique characteristics
|
| 167 |
+
• Special considerations
|
| 168 |
+
• Key differentiators
|
| 169 |
+
"""
|
| 170 |
+
|
| 171 |
+
response = model.generate_content(prompt)
|
| 172 |
+
analysis = response.text
|
| 173 |
+
|
| 174 |
+
# Save Gemini output to a text file
|
| 175 |
+
output_file_path = os.path.join(output_folder, 'compitoone.txt')
|
| 176 |
+
with open(output_file_path, 'w') as output_file:
|
| 177 |
+
output_file.write(analysis)
|
| 178 |
+
logging.info(f"Gemini output saved to {output_file_path}")
|
| 179 |
+
|
| 180 |
+
# Process and structure the response
|
| 181 |
+
sections = extract_meaningful_content(analysis)
|
| 182 |
+
if sections:
|
| 183 |
+
processed_response = {
|
| 184 |
+
**sections,
|
| 185 |
+
"sources": [{'url': item['url'], 'domain': item['domain'],
|
| 186 |
+
'section': item['section'], 'date': item['date']}
|
| 187 |
+
for item in scraped_content]
|
| 188 |
+
}
|
| 189 |
+
|
| 190 |
+
if is_valid_response(processed_response):
|
| 191 |
+
return processed_response
|
| 192 |
+
|
| 193 |
+
return generate_fallback_response(business_query)
|
| 194 |
+
|
| 195 |
+
except Exception as e:
|
| 196 |
+
logging.error(f"Error in Gemini analysis: {str(e)}")
|
| 197 |
+
return generate_fallback_response(business_query)
|
| 198 |
+
|
| 199 |
+
return generate_fallback_response(business_query)
|
| 200 |
+
|
| 201 |
+
def process_section(text, section_name):
|
| 202 |
+
"""Process section with better extraction"""
|
| 203 |
+
try:
|
| 204 |
+
lines = []
|
| 205 |
+
in_section = False
|
| 206 |
+
|
| 207 |
+
for line in text.split('\n'):
|
| 208 |
+
if section_name + ":" in line:
|
| 209 |
+
in_section = True
|
| 210 |
+
continue
|
| 211 |
+
elif in_section and any(s + ":" in line for s in ["DEMOGRAPHICS", "PSYCHOGRAPHICS", "PROFESSIONAL CHARACTERISTICS", "PAIN POINTS & NEEDS", "ADDITIONAL INSIGHTS"]):
|
| 212 |
+
break
|
| 213 |
+
elif in_section and line.strip():
|
| 214 |
+
# Clean and format the line
|
| 215 |
+
cleaned_line = line.strip('- *').strip()
|
| 216 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 217 |
+
# Remove any markdown formatting
|
| 218 |
+
cleaned_line = cleaned_line.replace('*', '').replace('_', '').strip()
|
| 219 |
+
if cleaned_line:
|
| 220 |
+
lines.append(cleaned_line)
|
| 221 |
+
|
| 222 |
+
return lines
|
| 223 |
+
except Exception as e:
|
| 224 |
+
logging.error(f"Error processing section {section_name}: {str(e)}")
|
| 225 |
+
return []
|
| 226 |
+
|
| 227 |
+
def extract_meaningful_content(text):
|
| 228 |
+
"""Extract meaningful content from Gemini's response"""
|
| 229 |
+
try:
|
| 230 |
+
sections = {
|
| 231 |
+
"demographics": process_section(text, "DEMOGRAPHICS"),
|
| 232 |
+
"psychographics": process_section(text, "PSYCHOGRAPHICS"),
|
| 233 |
+
"professional": process_section(text, "PROFESSIONAL CHARACTERISTICS"),
|
| 234 |
+
"pain_points": process_section(text, "PAIN POINTS & NEEDS"),
|
| 235 |
+
"additional_insights": process_section(text, "ADDITIONAL INSIGHTS")
|
| 236 |
+
}
|
| 237 |
+
|
| 238 |
+
# Validate each section has meaningful content
|
| 239 |
+
for key, value in sections.items():
|
| 240 |
+
if not value or all("not specify" in item.lower() for item in value):
|
| 241 |
+
sections[key] = [f"No specific {key} data available"]
|
| 242 |
+
|
| 243 |
+
return sections
|
| 244 |
+
except Exception as e:
|
| 245 |
+
logging.error(f"Error extracting meaningful content: {str(e)}")
|
| 246 |
+
return None
|
| 247 |
+
|
| 248 |
+
def is_valid_response(response):
|
| 249 |
+
"""Check if response has meaningful content"""
|
| 250 |
+
try:
|
| 251 |
+
# Check each section has content and meaningful data
|
| 252 |
+
for key, value in response.items():
|
| 253 |
+
if key == 'sources': # Skip sources check
|
| 254 |
+
continue
|
| 255 |
+
|
| 256 |
+
if not value or not isinstance(value, list):
|
| 257 |
+
return False
|
| 258 |
+
|
| 259 |
+
# Check if all items in the section are empty or contain "not specify"
|
| 260 |
+
has_valid_content = False
|
| 261 |
+
for item in value:
|
| 262 |
+
if isinstance(item, str) and len(item.strip()) > 0 and "not specify" not in item.lower():
|
| 263 |
+
has_valid_content = True
|
| 264 |
+
break
|
| 265 |
+
|
| 266 |
+
if not has_valid_content:
|
| 267 |
+
return False
|
| 268 |
+
|
| 269 |
+
return True
|
| 270 |
+
except Exception as e:
|
| 271 |
+
logging.error(f"Error validating response: {str(e)}")
|
| 272 |
+
return False
|
| 273 |
+
|
| 274 |
+
def generate_fallback_response(business_query):
|
| 275 |
+
"""Generate a basic response based on business type"""
|
| 276 |
+
# Add basic inference logic here
|
| 277 |
+
return {
|
| 278 |
+
"demographics": [
|
| 279 |
+
f"Age Range: 25-45 (Inferred based on {business_query}'s market)",
|
| 280 |
+
"Income Level: Middle to upper-middle class (Inferred)",
|
| 281 |
+
"Location: Major metropolitan areas (Inferred)",
|
| 282 |
+
"Education: Bachelor's degree or higher (Inferred)"
|
| 283 |
+
],
|
| 284 |
+
"psychographics": [
|
| 285 |
+
"Values and Beliefs: Quality-conscious and innovation-oriented (Inferred)",
|
| 286 |
+
"Lifestyle: Tech-savvy, busy professionals (Inferred)",
|
| 287 |
+
"Interests: Professional development, industry trends (Inferred)",
|
| 288 |
+
"Behaviors: Research-driven purchase decisions (Inferred)"
|
| 289 |
+
],
|
| 290 |
+
"professional": [
|
| 291 |
+
"Industry: Various relevant sectors (Inferred)",
|
| 292 |
+
"Company Size: Small to medium enterprises (Inferred)",
|
| 293 |
+
"Role/Position: Decision-makers and influencers (Inferred)",
|
| 294 |
+
"Decision Making Authority: Mid to senior level (Inferred)"
|
| 295 |
+
],
|
| 296 |
+
"pain_points": [
|
| 297 |
+
"Key Challenges: Efficiency and productivity (Inferred)",
|
| 298 |
+
"Motivations: Business growth and optimization (Inferred)",
|
| 299 |
+
"Goals: Improved operations and ROI (Inferred)",
|
| 300 |
+
"Purchase Triggers: Need for better solutions (Inferred)"
|
| 301 |
+
],
|
| 302 |
+
"additional_insights": [
|
| 303 |
+
"Shows strong interest in innovative solutions (Inferred)",
|
| 304 |
+
"Values long-term business relationships (Inferred)"
|
| 305 |
+
],
|
| 306 |
+
"sources": []
|
| 307 |
+
}
|
| 308 |
+
|
| 309 |
+
def analyze_icp(business_query):
|
| 310 |
+
"""Analyze ICP data for a given business query."""
|
| 311 |
+
if not business_query:
|
| 312 |
+
return {'error': 'No business query provided'}, 400
|
| 313 |
+
|
| 314 |
+
# Check for valid API key
|
| 315 |
+
if not os.getenv('GOOGLE_API_KEY'):
|
| 316 |
+
return {'error': 'Invalid API key. Please check your configuration.'}, 401
|
| 317 |
+
|
| 318 |
+
icp_data = get_icp_data(business_query)
|
| 319 |
+
return icp_data, 200
|
impact_api.py
ADDED
|
@@ -0,0 +1,230 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import logging
|
| 2 |
+
from datetime import datetime
|
| 3 |
+
from firecrawl import FirecrawlApp
|
| 4 |
+
import json
|
| 5 |
+
import os
|
| 6 |
+
import requests
|
| 7 |
+
import time
|
| 8 |
+
import google.generativeai as genai
|
| 9 |
+
|
| 10 |
+
# Initialize logging
|
| 11 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 12 |
+
|
| 13 |
+
# Initialize Firecrawl
|
| 14 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 15 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 16 |
+
logging.info("Firecrawl initialized")
|
| 17 |
+
|
| 18 |
+
# Initialize Gemini
|
| 19 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 20 |
+
if GOOGLE_API_KEY:
|
| 21 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 22 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 23 |
+
logging.info("Gemini initialized")
|
| 24 |
+
else:
|
| 25 |
+
logging.warning("No Gemini API key found")
|
| 26 |
+
|
| 27 |
+
# Create a folder to store Gemini outputs
|
| 28 |
+
output_folder = 'gemini_outputs'
|
| 29 |
+
os.makedirs(output_folder, exist_ok=True)
|
| 30 |
+
|
| 31 |
+
def extract_domain(url):
|
| 32 |
+
"""Extract domain name from URL"""
|
| 33 |
+
try:
|
| 34 |
+
from urllib.parse import urlparse
|
| 35 |
+
domain = urlparse(url).netloc
|
| 36 |
+
return domain.replace('www.', '')
|
| 37 |
+
except:
|
| 38 |
+
return url
|
| 39 |
+
|
| 40 |
+
def get_impact_data(business_query):
|
| 41 |
+
"""Get impact assessment data using custom search API and Firecrawl"""
|
| 42 |
+
logging.info(f"\n{'='*50}\nGathering impact data for: {business_query}\n{'='*50}")
|
| 43 |
+
|
| 44 |
+
result = {
|
| 45 |
+
"social_impact": [],
|
| 46 |
+
"economic_impact": [],
|
| 47 |
+
"environmental_impact": [],
|
| 48 |
+
"long_term_impact": [],
|
| 49 |
+
"sources": []
|
| 50 |
+
}
|
| 51 |
+
|
| 52 |
+
search_queries = [
|
| 53 |
+
f"{business_query} social impact analysis",
|
| 54 |
+
f"{business_query} environmental impact report",
|
| 55 |
+
f"{business_query} economic impact assessment",
|
| 56 |
+
f"{business_query} sustainability initiatives",
|
| 57 |
+
f"{business_query} community impact"
|
| 58 |
+
]
|
| 59 |
+
|
| 60 |
+
scraped_content = []
|
| 61 |
+
max_attempts = 2
|
| 62 |
+
search_api_key = "AIzaSyAxeLlJ6vZxOl-TblUJg_dInBS3vNxaFVY"
|
| 63 |
+
search_engine_id = "37793b12975da4e35"
|
| 64 |
+
|
| 65 |
+
for query in search_queries:
|
| 66 |
+
try:
|
| 67 |
+
logging.info(f"\nSearching for: {query}")
|
| 68 |
+
search_url = f"https://www.googleapis.com/customsearch/v1?key={search_api_key}&cx={search_engine_id}&q={query}&num=2"
|
| 69 |
+
response = requests.get(search_url)
|
| 70 |
+
search_results = response.json().get('items', [])
|
| 71 |
+
attempts = 0
|
| 72 |
+
|
| 73 |
+
for item in search_results:
|
| 74 |
+
url = item['link']
|
| 75 |
+
if attempts >= max_attempts:
|
| 76 |
+
break
|
| 77 |
+
|
| 78 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 79 |
+
try:
|
| 80 |
+
logging.info(f"Scraping: {url}")
|
| 81 |
+
response = firecrawl_app.scrape_url(
|
| 82 |
+
url=url,
|
| 83 |
+
params={'formats': ['markdown']}
|
| 84 |
+
)
|
| 85 |
+
|
| 86 |
+
if response and 'markdown' in response:
|
| 87 |
+
content = response['markdown']
|
| 88 |
+
if len(content) > 200:
|
| 89 |
+
logging.info("Successfully scraped content")
|
| 90 |
+
scraped_content.append({
|
| 91 |
+
'url': url,
|
| 92 |
+
'domain': extract_domain(url),
|
| 93 |
+
'section': 'Impact Analysis',
|
| 94 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 95 |
+
'content': content[:1000]
|
| 96 |
+
})
|
| 97 |
+
break
|
| 98 |
+
except Exception as e:
|
| 99 |
+
if "402" in str(e):
|
| 100 |
+
logging.warning(f"Firecrawl credit limit reached for {url}")
|
| 101 |
+
scraped_content.append({
|
| 102 |
+
'url': url,
|
| 103 |
+
'domain': extract_domain(url),
|
| 104 |
+
'section': 'Impact Analysis (Limited)',
|
| 105 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 106 |
+
'content': f"Content from {extract_domain(url)} about {business_query}'s impact"
|
| 107 |
+
})
|
| 108 |
+
else:
|
| 109 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 110 |
+
attempts += 1
|
| 111 |
+
continue
|
| 112 |
+
|
| 113 |
+
time.sleep(2)
|
| 114 |
+
|
| 115 |
+
except Exception as e:
|
| 116 |
+
logging.error(f"Error in search: {str(e)}")
|
| 117 |
+
continue
|
| 118 |
+
|
| 119 |
+
if scraped_content:
|
| 120 |
+
try:
|
| 121 |
+
prompt = f"""
|
| 122 |
+
Analyze this content about {business_query}'s impact and create a detailed assessment.
|
| 123 |
+
|
| 124 |
+
Content to analyze:
|
| 125 |
+
{[item['content'] for item in scraped_content]}
|
| 126 |
+
|
| 127 |
+
Provide a structured analysis with these exact sections:
|
| 128 |
+
|
| 129 |
+
SOCIAL IMPACT:
|
| 130 |
+
• Community Benefits
|
| 131 |
+
• Employment Impact
|
| 132 |
+
• Social Value
|
| 133 |
+
|
| 134 |
+
ECONOMIC IMPACT:
|
| 135 |
+
• Revenue Generation
|
| 136 |
+
• Market Growth
|
| 137 |
+
• Innovation Impact
|
| 138 |
+
|
| 139 |
+
ENVIRONMENTAL IMPACT:
|
| 140 |
+
• Sustainability
|
| 141 |
+
• Resource Usage
|
| 142 |
+
• Carbon Footprint
|
| 143 |
+
|
| 144 |
+
LONG-TERM IMPACT:
|
| 145 |
+
• Future Growth
|
| 146 |
+
• Scalability
|
| 147 |
+
• Legacy Value
|
| 148 |
+
|
| 149 |
+
Use factual information where available, mark inferences with (Inferred).
|
| 150 |
+
Format each point as a clear, actionable item.
|
| 151 |
+
"""
|
| 152 |
+
|
| 153 |
+
response = model.generate_content(prompt)
|
| 154 |
+
analysis = response.text
|
| 155 |
+
|
| 156 |
+
# Save Gemini output to a text file
|
| 157 |
+
output_file_path = os.path.join(output_folder, 'compitoone.txt')
|
| 158 |
+
with open(output_file_path, 'w') as output_file:
|
| 159 |
+
output_file.write(analysis)
|
| 160 |
+
logging.info(f"Gemini output saved to {output_file_path}")
|
| 161 |
+
|
| 162 |
+
# Extract sections
|
| 163 |
+
result["social_impact"] = extract_section(analysis, "SOCIAL IMPACT")
|
| 164 |
+
result["economic_impact"] = extract_section(analysis, "ECONOMIC IMPACT")
|
| 165 |
+
result["environmental_impact"] = extract_section(analysis, "ENVIRONMENTAL IMPACT")
|
| 166 |
+
result["long_term_impact"] = extract_section(analysis, "LONG-TERM IMPACT")
|
| 167 |
+
|
| 168 |
+
# Add sources
|
| 169 |
+
result["sources"] = [{
|
| 170 |
+
'url': item['url'],
|
| 171 |
+
'domain': item['domain'],
|
| 172 |
+
'section': item['section'],
|
| 173 |
+
'date': item['date']
|
| 174 |
+
} for item in scraped_content]
|
| 175 |
+
|
| 176 |
+
return result
|
| 177 |
+
|
| 178 |
+
except Exception as e:
|
| 179 |
+
logging.error(f"Error generating analysis: {str(e)}")
|
| 180 |
+
return generate_fallback_response(business_query)
|
| 181 |
+
|
| 182 |
+
return generate_fallback_response(business_query)
|
| 183 |
+
|
| 184 |
+
def extract_section(text, section_name):
|
| 185 |
+
"""Extract content from a specific section"""
|
| 186 |
+
try:
|
| 187 |
+
lines = []
|
| 188 |
+
in_section = False
|
| 189 |
+
|
| 190 |
+
for line in text.split('\n'):
|
| 191 |
+
if section_name + ":" in line:
|
| 192 |
+
in_section = True
|
| 193 |
+
continue
|
| 194 |
+
elif any(s + ":" in line for s in ["SOCIAL IMPACT", "ECONOMIC IMPACT", "ENVIRONMENTAL IMPACT", "LONG-TERM IMPACT"]):
|
| 195 |
+
in_section = False
|
| 196 |
+
elif in_section and line.strip():
|
| 197 |
+
cleaned_line = line.strip('- *').strip()
|
| 198 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 199 |
+
lines.append(cleaned_line)
|
| 200 |
+
|
| 201 |
+
return lines
|
| 202 |
+
except Exception as e:
|
| 203 |
+
logging.error(f"Error extracting section {section_name}: {str(e)}")
|
| 204 |
+
return []
|
| 205 |
+
|
| 206 |
+
def generate_fallback_response(business_query):
|
| 207 |
+
"""Generate basic impact assessment when no data is found"""
|
| 208 |
+
return {
|
| 209 |
+
"social_impact": [
|
| 210 |
+
f"Community impact potential for {business_query} (Inferred)",
|
| 211 |
+
"Employment effects to be evaluated (Inferred)",
|
| 212 |
+
"Social value contribution possibilities (Inferred)"
|
| 213 |
+
],
|
| 214 |
+
"economic_impact": [
|
| 215 |
+
"Revenue growth potential (Inferred)",
|
| 216 |
+
"Market expansion opportunities (Inferred)",
|
| 217 |
+
"Innovation possibilities (Inferred)"
|
| 218 |
+
],
|
| 219 |
+
"environmental_impact": [
|
| 220 |
+
"Sustainability initiatives potential (Inferred)",
|
| 221 |
+
"Resource optimization opportunities (Inferred)",
|
| 222 |
+
"Environmental protection measures (Inferred)"
|
| 223 |
+
],
|
| 224 |
+
"long_term_impact": [
|
| 225 |
+
"Growth trajectory projection (Inferred)",
|
| 226 |
+
"Scalability assessment needed (Inferred)",
|
| 227 |
+
"Future innovation potential (Inferred)"
|
| 228 |
+
],
|
| 229 |
+
"sources": []
|
| 230 |
+
}
|
journey_api.py
ADDED
|
@@ -0,0 +1,276 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from flask import Flask, request, jsonify
|
| 2 |
+
from flask_cors import CORS
|
| 3 |
+
import logging
|
| 4 |
+
from datetime import datetime
|
| 5 |
+
from firecrawl import FirecrawlApp
|
| 6 |
+
import json
|
| 7 |
+
import os
|
| 8 |
+
import requests
|
| 9 |
+
import time
|
| 10 |
+
|
| 11 |
+
# Import Gemini with error handling
|
| 12 |
+
try:
|
| 13 |
+
import google.generativeai as genai
|
| 14 |
+
GEMINI_AVAILABLE = True
|
| 15 |
+
except ImportError:
|
| 16 |
+
GEMINI_AVAILABLE = False
|
| 17 |
+
logging.warning("Gemini API not available. Installing required package...")
|
| 18 |
+
os.system('pip install google-generativeai')
|
| 19 |
+
try:
|
| 20 |
+
import google.generativeai as genai
|
| 21 |
+
GEMINI_AVAILABLE = True
|
| 22 |
+
except ImportError:
|
| 23 |
+
logging.error("Failed to install google-generativeai package")
|
| 24 |
+
GEMINI_AVAILABLE = False
|
| 25 |
+
|
| 26 |
+
app = Flask(__name__)
|
| 27 |
+
CORS(app)
|
| 28 |
+
|
| 29 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 30 |
+
|
| 31 |
+
# Initialize Firecrawl
|
| 32 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 33 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 34 |
+
logging.info("Firecrawl initialized")
|
| 35 |
+
|
| 36 |
+
# Initialize Gemini if available
|
| 37 |
+
if GEMINI_AVAILABLE:
|
| 38 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 39 |
+
if GOOGLE_API_KEY:
|
| 40 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 41 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 42 |
+
logging.info("Gemini initialized")
|
| 43 |
+
else:
|
| 44 |
+
logging.warning("No Gemini API key found")
|
| 45 |
+
|
| 46 |
+
# Create a folder to store Gemini outputs
|
| 47 |
+
output_folder = 'gemini_outputs'
|
| 48 |
+
os.makedirs(output_folder, exist_ok=True)
|
| 49 |
+
|
| 50 |
+
def extract_domain(url):
|
| 51 |
+
"""Extract domain name from URL"""
|
| 52 |
+
try:
|
| 53 |
+
from urllib.parse import urlparse
|
| 54 |
+
domain = urlparse(url).netloc
|
| 55 |
+
return domain.replace('www.', '')
|
| 56 |
+
except:
|
| 57 |
+
return url
|
| 58 |
+
|
| 59 |
+
def get_journey_data(business_query):
|
| 60 |
+
"""
|
| 61 |
+
Get customer journey data using custom search API and Firecrawl
|
| 62 |
+
"""
|
| 63 |
+
logging.info(f"\n{'='*50}\nGathering journey data for: {business_query}\n{'='*50}")
|
| 64 |
+
|
| 65 |
+
result = {
|
| 66 |
+
"pre_purchase": [],
|
| 67 |
+
"purchase": [],
|
| 68 |
+
"post_purchase": [],
|
| 69 |
+
"optimization": [],
|
| 70 |
+
"sources": []
|
| 71 |
+
}
|
| 72 |
+
|
| 73 |
+
search_queries = [
|
| 74 |
+
f"{business_query} customer journey analysis",
|
| 75 |
+
f"{business_query} customer experience touchpoints",
|
| 76 |
+
f"{business_query} customer buying process",
|
| 77 |
+
f"how do customers interact with {business_query}",
|
| 78 |
+
f"{business_query} customer path to purchase"
|
| 79 |
+
]
|
| 80 |
+
|
| 81 |
+
scraped_content = []
|
| 82 |
+
max_attempts = 2 # Limit number of attempts per query
|
| 83 |
+
|
| 84 |
+
for query in search_queries:
|
| 85 |
+
try:
|
| 86 |
+
logging.info(f"\nSearching for: {query}")
|
| 87 |
+
search_results = custom_search(query)
|
| 88 |
+
attempts = 0
|
| 89 |
+
|
| 90 |
+
for url in search_results:
|
| 91 |
+
if attempts >= max_attempts:
|
| 92 |
+
break
|
| 93 |
+
|
| 94 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 95 |
+
try:
|
| 96 |
+
logging.info(f"Scraping: {url}")
|
| 97 |
+
response = firecrawl_app.scrape_url(
|
| 98 |
+
url=url,
|
| 99 |
+
params={'formats': ['markdown']}
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
if response and 'markdown' in response:
|
| 103 |
+
content = response['markdown']
|
| 104 |
+
if len(content) > 200:
|
| 105 |
+
logging.info("Successfully scraped content")
|
| 106 |
+
scraped_content.append({
|
| 107 |
+
'url': url,
|
| 108 |
+
'domain': extract_domain(url),
|
| 109 |
+
'section': 'Journey Analysis',
|
| 110 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 111 |
+
'content': content[:1000] # Limit content size
|
| 112 |
+
})
|
| 113 |
+
break
|
| 114 |
+
except Exception as e:
|
| 115 |
+
if "402" in str(e): # Credit limit error
|
| 116 |
+
logging.warning(f"Firecrawl credit limit reached for {url}")
|
| 117 |
+
scraped_content.append({
|
| 118 |
+
'url': url,
|
| 119 |
+
'domain': extract_domain(url),
|
| 120 |
+
'section': 'Journey Analysis (Limited)',
|
| 121 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 122 |
+
'content': f"Content from {extract_domain(url)} about {business_query}'s customer journey"
|
| 123 |
+
})
|
| 124 |
+
else:
|
| 125 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 126 |
+
attempts += 1
|
| 127 |
+
continue
|
| 128 |
+
|
| 129 |
+
time.sleep(2)
|
| 130 |
+
|
| 131 |
+
except Exception as e:
|
| 132 |
+
logging.error(f"Error in search: {str(e)}")
|
| 133 |
+
continue
|
| 134 |
+
|
| 135 |
+
# Generate journey analysis using available content
|
| 136 |
+
if scraped_content:
|
| 137 |
+
try:
|
| 138 |
+
prompt = f"""
|
| 139 |
+
Create a detailed customer journey analysis for {business_query} with these exact sections:
|
| 140 |
+
|
| 141 |
+
PRE-PURCHASE JOURNEY:
|
| 142 |
+
• Awareness phase
|
| 143 |
+
• Research phase
|
| 144 |
+
• Consideration phase
|
| 145 |
+
|
| 146 |
+
PURCHASE EXPERIENCE:
|
| 147 |
+
• Decision making
|
| 148 |
+
• Checkout process
|
| 149 |
+
• Payment options
|
| 150 |
+
|
| 151 |
+
POST-PURCHASE JOURNEY:
|
| 152 |
+
• Order confirmation
|
| 153 |
+
• Delivery experience
|
| 154 |
+
• Product usage
|
| 155 |
+
|
| 156 |
+
OPTIMIZATION OPPORTUNITIES:
|
| 157 |
+
• Pain points
|
| 158 |
+
• Improvement areas
|
| 159 |
+
• Enhancement suggestions
|
| 160 |
+
|
| 161 |
+
Use factual information where available, mark inferences with (Inferred).
|
| 162 |
+
Format each point as a clear, actionable item.
|
| 163 |
+
"""
|
| 164 |
+
|
| 165 |
+
response = model.generate_content(prompt)
|
| 166 |
+
analysis = response.text
|
| 167 |
+
|
| 168 |
+
# Extract sections
|
| 169 |
+
result["pre_purchase"] = extract_section(analysis, "PRE-PURCHASE JOURNEY")
|
| 170 |
+
result["purchase"] = extract_section(analysis, "PURCHASE EXPERIENCE")
|
| 171 |
+
result["post_purchase"] = extract_section(analysis, "POST-PURCHASE JOURNEY")
|
| 172 |
+
result["optimization"] = extract_section(analysis, "OPTIMIZATION OPPORTUNITIES")
|
| 173 |
+
|
| 174 |
+
# Save Gemini output to a text file
|
| 175 |
+
with open(os.path.join(output_folder, 'compitoone.txt'), 'w') as f:
|
| 176 |
+
f.write(analysis)
|
| 177 |
+
|
| 178 |
+
# Add sources
|
| 179 |
+
result["sources"] = [{
|
| 180 |
+
'url': item['url'],
|
| 181 |
+
'domain': item['domain'],
|
| 182 |
+
'section': item['section'],
|
| 183 |
+
'date': item['date']
|
| 184 |
+
} for item in scraped_content]
|
| 185 |
+
|
| 186 |
+
return result
|
| 187 |
+
|
| 188 |
+
except Exception as e:
|
| 189 |
+
logging.error(f"Error generating analysis: {str(e)}")
|
| 190 |
+
return generate_fallback_journey(business_query)
|
| 191 |
+
|
| 192 |
+
return generate_fallback_journey(business_query)
|
| 193 |
+
|
| 194 |
+
def custom_search(query):
|
| 195 |
+
"""Perform a custom search using the Custom Search API"""
|
| 196 |
+
api_key = "AIzaSyAxeLlJ6vZxOl-TblUJg_dInBS3vNxaFVY"
|
| 197 |
+
search_engine_id = "37793b12975da4e35"
|
| 198 |
+
url = f"https://www.googleapis.com/customsearch/v1?key={api_key}&cx={search_engine_id}&q={query}&num=2"
|
| 199 |
+
|
| 200 |
+
response = requests.get(url)
|
| 201 |
+
if response.status_code == 200:
|
| 202 |
+
search_results = response.json().get('items', [])
|
| 203 |
+
return [item['link'] for item in search_results]
|
| 204 |
+
else:
|
| 205 |
+
logging.error(f"Error during custom search: {response.status_code} - {response.text}")
|
| 206 |
+
return []
|
| 207 |
+
|
| 208 |
+
def extract_section(text, section_name):
|
| 209 |
+
"""Extract content from a specific section"""
|
| 210 |
+
try:
|
| 211 |
+
lines = []
|
| 212 |
+
in_section = False
|
| 213 |
+
|
| 214 |
+
for line in text.split('\n'):
|
| 215 |
+
if section_name + ":" in line:
|
| 216 |
+
in_section = True
|
| 217 |
+
continue
|
| 218 |
+
elif any(s + ":" in line for s in ["PRE-PURCHASE JOURNEY", "PURCHASE EXPERIENCE", "POST-PURCHASE JOURNEY", "OPTIMIZATION OPPORTUNITIES"]):
|
| 219 |
+
in_section = False
|
| 220 |
+
elif in_section and line.strip():
|
| 221 |
+
cleaned_line = line.strip('- *').strip()
|
| 222 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 223 |
+
lines.append(cleaned_line)
|
| 224 |
+
|
| 225 |
+
return lines
|
| 226 |
+
except Exception as e:
|
| 227 |
+
logging.error(f"Error extracting section {section_name}: {str(e)}")
|
| 228 |
+
return []
|
| 229 |
+
|
| 230 |
+
def generate_fallback_journey(business_query):
|
| 231 |
+
"""Generate basic journey data when no content is found"""
|
| 232 |
+
return {
|
| 233 |
+
"pre_purchase": [
|
| 234 |
+
f"Customers discover {business_query} through various channels (Inferred)",
|
| 235 |
+
"Research phase includes product comparisons (Inferred)",
|
| 236 |
+
"Decision influenced by reviews and ratings (Inferred)"
|
| 237 |
+
],
|
| 238 |
+
"purchase": [
|
| 239 |
+
"Customer selects desired products (Inferred)",
|
| 240 |
+
"Multiple payment options available (Inferred)",
|
| 241 |
+
"Secure checkout process (Inferred)"
|
| 242 |
+
],
|
| 243 |
+
"post_purchase": [
|
| 244 |
+
"Order confirmation and tracking (Inferred)",
|
| 245 |
+
"Delivery and fulfillment process (Inferred)",
|
| 246 |
+
"Customer support available (Inferred)"
|
| 247 |
+
],
|
| 248 |
+
"optimization": [
|
| 249 |
+
"Streamline checkout process (Inferred)",
|
| 250 |
+
"Improve product discovery (Inferred)",
|
| 251 |
+
"Enhance customer support (Inferred)"
|
| 252 |
+
],
|
| 253 |
+
"sources": []
|
| 254 |
+
}
|
| 255 |
+
|
| 256 |
+
@app.route('/api/journey-analysis', methods=['POST', 'OPTIONS'])
|
| 257 |
+
def analyze_journey():
|
| 258 |
+
if request.method == 'OPTIONS':
|
| 259 |
+
return '', 204
|
| 260 |
+
|
| 261 |
+
try:
|
| 262 |
+
data = request.json
|
| 263 |
+
business_query = data.get('query')
|
| 264 |
+
|
| 265 |
+
if not business_query:
|
| 266 |
+
return jsonify({'error': 'No business query provided'}), 400
|
| 267 |
+
|
| 268 |
+
journey_data = get_journey_data(business_query)
|
| 269 |
+
return jsonify(journey_data)
|
| 270 |
+
|
| 271 |
+
except Exception as e:
|
| 272 |
+
logging.error(f"Error during journey analysis: {str(e)}")
|
| 273 |
+
return jsonify({'error': str(e)}), 500
|
| 274 |
+
|
| 275 |
+
if __name__ == '__main__':
|
| 276 |
+
app.run(port=5003, debug=True)
|
kimola.com_feedback.txt
ADDED
|
@@ -0,0 +1,319 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Scrape and analyze **Amazon product reviews**
|
| 2 |
+
|
| 3 |
+
Enter an Amazon product link to scrape and analyze!
|
| 4 |
+
10-second tutorial
|
| 5 |
+
|
| 6 |
+
Start
|
| 7 |
+
|
| 8 |
+
Need different platforms to scrape and analyze?
|
| 9 |
+
|
| 10 |
+
- [Google Business](/scrape-and-analyze-google-business-reviews "Scrape and analyze Google Business reviews")
|
| 11 |
+
- [Trustpilot](/scrape-and-analyze-trustpilot-reviews "Scrape and analyze Trustpilot reviews")
|
| 12 |
+
- [Tripadvisor](/scrape-and-analyze-tripadvisor-reviews "Scrape and analyze Tripadvisor reviews")
|
| 13 |
+
- [Google Play](/scrape-and-analyze-google-play-reviews "Scrape and analyze Google Play reviews")
|
| 14 |
+
- [App Store](/scrape-and-analyze-app-store-reviews "Scrape and analyze App Store reviews")
|
| 15 |
+
|
| 16 |
+

|
| 17 |
+
|
| 18 |
+
## \#1 Research Platform for SMEs
|
| 19 |
+
|
| 20 |
+
- [](https://www.alvarezandmarsal.com)
|
| 21 |
+
- [](https://www.astropay.com)
|
| 22 |
+
- [](https://www.azarlive.com)
|
| 23 |
+
- [](https://bestsmile.com)
|
| 24 |
+
- [](https://www.betterbodyfoods.com)
|
| 25 |
+
- [](https://www.cambly.com)
|
| 26 |
+
- [](https://www.capcut.com)
|
| 27 |
+
- [](https://www.casio.com)
|
| 28 |
+
- [](https://daltonwholesalefloors.com)
|
| 29 |
+
- [](https://distrokid.com)
|
| 30 |
+
- [](https://www.flipkart.com)
|
| 31 |
+
- [](https://gocity.com)
|
| 32 |
+
- [](https://www.habita.com.co)
|
| 33 |
+
- [](https://heavenlyhawaiian.com)
|
| 34 |
+
- [](https://www.honda.com)
|
| 35 |
+
|
| 36 |
+
- [](https://www.alvarezandmarsal.com)
|
| 37 |
+
- [](https://www.astropay.com)
|
| 38 |
+
- [](https://www.azarlive.com)
|
| 39 |
+
- [](https://bestsmile.com)
|
| 40 |
+
- [](https://www.betterbodyfoods.com)
|
| 41 |
+
- [](https://www.cambly.com)
|
| 42 |
+
- [](https://www.capcut.com)
|
| 43 |
+
- [](https://www.casio.com)
|
| 44 |
+
- [](https://daltonwholesalefloors.com)
|
| 45 |
+
- [](https://distrokid.com)
|
| 46 |
+
- [](https://www.flipkart.com)
|
| 47 |
+
- [](https://gocity.com)
|
| 48 |
+
- [](https://www.habita.com.co)
|
| 49 |
+
- [](https://heavenlyhawaiian.com)
|
| 50 |
+
- [](https://www.honda.com)
|
| 51 |
+
|
| 52 |
+
- [](https://hotel-brimer.lu)
|
| 53 |
+
- [](https://www.indianatech.edu)
|
| 54 |
+
- [](https://www.kingliving.com)
|
| 55 |
+
- [](https://www.mcdonalds.com)
|
| 56 |
+
- [](https://www.michelin.com)
|
| 57 |
+
- [](https://www.nhb.gov.sg/nationalmuseum/)
|
| 58 |
+
- [](https://www.nike.com)
|
| 59 |
+
- [](https://www.novonordisk.com)
|
| 60 |
+
- [](https://www.okcupid.com)
|
| 61 |
+
- [](https://www.omron.com)
|
| 62 |
+
- [](https://palangahotel.lt)
|
| 63 |
+
- [](https://www.pfizer.com)
|
| 64 |
+
- [](https://www.pizzahut.com)
|
| 65 |
+
- [](https://pocketfm.com)
|
| 66 |
+
- [](https://pollofeliz.com)
|
| 67 |
+
|
| 68 |
+
- [](https://hotel-brimer.lu)
|
| 69 |
+
- [](https://www.indianatech.edu)
|
| 70 |
+
- [](https://www.kingliving.com)
|
| 71 |
+
- [](https://www.mcdonalds.com)
|
| 72 |
+
- [](https://www.michelin.com)
|
| 73 |
+
- [](https://www.nhb.gov.sg/nationalmuseum/)
|
| 74 |
+
- [](https://www.nike.com)
|
| 75 |
+
- [](https://www.novonordisk.com)
|
| 76 |
+
- [](https://www.okcupid.com)
|
| 77 |
+
- [](https://www.omron.com)
|
| 78 |
+
- [](https://palangahotel.lt)
|
| 79 |
+
- [](https://www.pfizer.com)
|
| 80 |
+
- [](https://www.pizzahut.com)
|
| 81 |
+
- [](https://pocketfm.com)
|
| 82 |
+
- [](https://pollofeliz.com)
|
| 83 |
+
|
| 84 |
+
- [](https://www.publicisgroupe.com)
|
| 85 |
+
- [](https://www.sanofi.com)
|
| 86 |
+
- [](https://www.shaadi.com/)
|
| 87 |
+
- [](https://somnox.com)
|
| 88 |
+
- [](https://www.spinriteyarns.com)
|
| 89 |
+
- [](https://www.spotify.com)
|
| 90 |
+
- [](https://www.ssctech.com)
|
| 91 |
+
- [](https://www.theoliverpdx.com)
|
| 92 |
+
- [](https://www.perthmint.com)
|
| 93 |
+
- [](https://tinder.com)
|
| 94 |
+
- [](https://www.toolport.de)
|
| 95 |
+
- [](https://u-tec.com)
|
| 96 |
+
- [](https://www.unsw.edu.au)
|
| 97 |
+
- [](https://www.wide.be)
|
| 98 |
+
- [](https://zuberzuber.com)
|
| 99 |
+
- [](https://zuca.com)
|
| 100 |
+
|
| 101 |
+
- [](https://www.publicisgroupe.com)
|
| 102 |
+
- [](https://www.sanofi.com)
|
| 103 |
+
- [](https://www.shaadi.com/)
|
| 104 |
+
- [](https://somnox.com)
|
| 105 |
+
- [](https://www.spinriteyarns.com)
|
| 106 |
+
- [](https://www.spotify.com)
|
| 107 |
+
- [](https://www.ssctech.com)
|
| 108 |
+
- [](https://www.theoliverpdx.com)
|
| 109 |
+
- [](https://www.perthmint.com)
|
| 110 |
+
- [](https://tinder.com)
|
| 111 |
+
- [](https://www.toolport.de)
|
| 112 |
+
- [](https://u-tec.com)
|
| 113 |
+
- [](https://www.unsw.edu.au)
|
| 114 |
+
- [](https://www.wide.be)
|
| 115 |
+
- [](https://zuberzuber.com)
|
| 116 |
+
- [](https://zuca.com)
|
| 117 |
+
|
| 118 |
+

|
| 119 |
+
|
| 120 |
+
3,000+ growth-obsessed business owners, researchers, marketers
|
| 121 |
+
|
| 122 |
+
from 80+ countries create 5 reports in every 3 minutes at Kimola.
|
| 123 |
+
|
| 124 |
+
|
| 125 |
+

|
| 126 |
+
|
| 127 |
+
### Scrape reviews easily
|
| 128 |
+
|
| 129 |
+
You don't need to download or install an external tool to scrape Amazon reviews. Just enter an Amazon product page's web address and let Kimola scrape reviews while you see the progress.
|
| 130 |
+
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| 131 |
+

|
| 132 |
+
|
| 133 |
+
### Analyze reviews deeply
|
| 134 |
+
|
| 135 |
+
Kimola analyzes each Amazon review to classify with a relevant label, detect popular terms, and calculate the Net Promoter Score. Finally, the GPT technology generates an intelligent summary.
|
| 136 |
+
|
| 137 |
+

|
| 138 |
+
|
| 139 |
+
### All free!
|
| 140 |
+
|
| 141 |
+
You can have reviews and analyses in your inbox or download them as Excel or PDF files at no cost. If you need to analyze more or have regular email reports and alerts, try our products for seven days for free.
|
| 142 |
+
|
| 143 |
+

|
| 144 |
+
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| 145 |
+
### World-class customer support
|
| 146 |
+
|
| 147 |
+
We are always ready to help our clients when they face a problem. We offer 10 minutes of Zoom calls when needed and generate video content on Youtube.
|
| 148 |
+
|
| 149 |
+
Latest Reports
|
| 150 |
+
|
| 151 |
+
See the latest research reports based on Amazon product reviews our community members created.
|
| 152 |
+
|
| 153 |
+
- [](/reports/discover-the-controversial-legacy-of-dietrich-bonhoeffer-amazon-en-us-154776 "Discover the Controversial Legacy of Dietrich Bonhoeffer")
|
| 154 |
+
|
| 155 |
+
[Discover the Controversial Legacy of Dietrich Bonhoeffer](/reports/discover-the-controversial-legacy-of-dietrich-bonhoeffer-amazon-en-us-154776)
|
| 156 |
+
|
| 157 |
+
Explore the mixed reviews of 'Bonhoeffer: Pastor, Martyr, Prophet, Spy' in our detailed customer feedback analysis report.
|
| 158 |
+
|
| 159 |
+
- [](/reports/antela-smart-socket-review-analysis-insights-for-smarter-choices-amazon-de-de-154775 "Antela Smart Socket Review Analysis: Insights for Smarter Choices")
|
| 160 |
+
|
| 161 |
+
[Antela Smart Socket Review Analysis: Insights for Smarter Choices](/reports/antela-smart-socket-review-analysis-insights-for-smarter-choices-amazon-de-de-154775)
|
| 162 |
+
|
| 163 |
+
Explore our detailed customer feedback analysis on Antela WLAN Smart Socket. Perfect for smart home enthusiasts.
|
| 164 |
+
|
| 165 |
+
- [](/reports/unlock-insights-superun-walking-pad-customer-feedback-report-amazon-en-us-154771 "Unlock Insights: SupeRun Walking Pad Customer Feedback Report")
|
| 166 |
+
|
| 167 |
+
[Unlock Insights: SupeRun Walking Pad Customer Feedback Report](/reports/unlock-insights-superun-walking-pad-customer-feedback-report-amazon-en-us-154771)
|
| 168 |
+
|
| 169 |
+
Uncover insights from customer feedback on the SupeRun Walking Pad with our comprehensive analysis report.
|
| 170 |
+
|
| 171 |
+
|
| 172 |
+
[See All Research Reports >>](/reports "See All Research Reports")
|
| 173 |
+
|
| 174 |
+

|
| 175 |
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|
| 176 |
+
RESEARCH
|
| 177 |
+
|
| 178 |
+
## Amazon Product Research
|
| 179 |
+
|
| 180 |
+
Amazon Product Research is simply the process of **analyzing** and **identifying** profitable products to sell on the Amazon marketplace. It is a necessary step for individuals and businesses looking to start or expand their e-commerce ventures on Amazon. **Effective product research** helps sellers discover products with high demand, low competition, and good profit potential.
|
| 181 |
+
|
| 182 |
+
|
| 183 |
+
Product review analysis is a very helpful component of **Amazon Product Research** and, of course, **Amazon Product Analysis** process. It allows sellers to tap into a goldmine of information directly from customers who have purchased and used similar products. Amazon product review analysis can significantly enhance your Amazon Product Research efforts by understanding **market trends** and **consumer preferences**. Analyzing product reviews also supports the **Amazon Product Analysis** process by revealing the weaknesses and strengths of products on the Amazon marketplace.
|
| 184 |
+
|
| 185 |
+
|
| 186 |
+
Also, see the other approaches to maximize the product review analysis for Amazon Product Research.
|
| 187 |
+
|
| 188 |
+
|
| 189 |
+
### Product Enhancement
|
| 190 |
+
|
| 191 |
+
Reviews can be a treasure trove of ideas for product improvement. Customers often share what they like or dislike about certain products, providing invaluable feedback. Sellers can use this feedback to iterate on existing products or create entirely new ones that address customer pain points and preferences. By doing so, they enhance customer satisfaction and increase their chances of sales success.
|
| 192 |
+
|
| 193 |
+
### Pricing Strategy
|
| 194 |
+
|
| 195 |
+
Achieving effective pricing demands a delicate balance between profit margins and customer perception. Careful review and analysis are crucial for sellers to establish prices that not only attract buyers but also remain competitive.
|
| 196 |
+
|
| 197 |
+
### Keyword Research
|
| 198 |
+
|
| 199 |
+
Reviews are a rich source of keywords and phrases commonly used by customers when searching for products on Amazon. Sellers can extract these keywords from reviews to optimize their product listings for better visibility in search results, ultimately driving more organic traffic to their listings.
|
| 200 |
+
|
| 201 |
+
### Product Selection
|
| 202 |
+
|
| 203 |
+
Identifying the right products to sell is a critical aspect of Amazon Product Research. Review analysis helps sellers filter out products with quality issues or a high number of negative reviews. Opting for products with a history of positive customer feedback reduces the risk of negative reviews and returns, elevating overall seller ratings and credibility.
|
| 204 |
+
|
| 205 |
+
### Predicting Success
|
| 206 |
+
|
| 207 |
+
By analyzing the sentiment and rating trends in product reviews, sellers can make informed predictions about a product's potential for success. Positive reviews and a high average rating often indicate a product's popularity and profitability.
|
| 208 |
+
|
| 209 |
+
### Monitoring Competitors
|
| 210 |
+
|
| 211 |
+
Continuous review analysis allows sellers to stay vigilant and adapt their strategies. They can spot when competitors launch new products or make changes to existing ones, enabling them to remain competitive in a dynamic marketplace.
|
| 212 |
+
|
| 213 |
+
REVIEW ANALYSIS
|
| 214 |
+
|
| 215 |
+
## Amazon Product Review Analysis
|
| 216 |
+
|
| 217 |
+
Amazon product review analysis is a valuable tool for businesses to make competitive analyses. By analyzing product reviews of competitors, companies can **gain insights** into how their products compare to those of competitors, **identify areas of strength and weakness**, and **make data-driven decisions** to improve their competitive position.
|
| 218 |
+
|
| 219 |
+
|
| 220 |
+
Regularly tracking the Amazon product reviews of competitors over time, can help businesses to track changes in customer satisfaction and identify areas where their competitors are performing well or poorly. This can help companies to make data-driven decisions to improve their products and competitive position.
|
| 221 |
+
|
| 222 |
+
|
| 223 |
+
Businesses also can identify new **product trends** gaining popularity among customers by analyzing product reviews. Tracking the change in product ratings and reviews can help businesses to identify shifts in **customer needs and preferences** and adjust their products and strategies accordingly.
|
| 224 |
+
|
| 225 |
+
|
| 226 |
+
Amazon product reviews can also help businesses to **identify emerging customer segments**. By analyzing product reviews, businesses can identify customers with specific needs and preferences and tailor their products and marketing strategies to serve those segments better.
|
| 227 |
+
|
| 228 |
+
|
| 229 |
+
Analyzing **Amazon product reviews** of competitors can also help businesses to stay informed about their competitors' product offerings and strategies. It's very common that a new or existing player in the market can bring an innovation that consumers quickly pick up.
|
| 230 |
+
|
| 231 |
+
|
| 232 |
+

|
| 233 |
+
|
| 234 |
+

|
| 235 |
+
|
| 236 |
+
SALES ANALYSIS
|
| 237 |
+
|
| 238 |
+
## Amazon Product Sales Analysis
|
| 239 |
+
|
| 240 |
+
One of the biggest benefits of analyzing Amazon product reviews is that they provide businesses with **unfiltered feedback** from customers who have purchased and used their products. This honesty and transparency make product reviews a trusted source for sales analysis. **Amazon Product Sales Analysis** examines and interprets data related to the sales performance of products listed on the Amazon marketplace. This analysis is crucial for sellers and businesses operating on Amazon, as it provides valuable insights into the **success** and **profitability** of their products.
|
| 241 |
+
|
| 242 |
+
|
| 243 |
+
Monitoring product reviews and ratings is an integral part of sales analysis. Positive reviews can contribute to higher sales, while negative reviews may deter potential buyers. Sellers may also analyze the impact of reviews on **sales conversion** rates. By combining historical sales data and review analysis, sellers can make accurate forecasts about future sales, effectively planning inventory, promotions, and marketing efforts.
|
| 244 |
+
|
| 245 |
+
|
| 246 |
+
Also, **Amazon product reviews** can provide businesses with insights into which product features customers value most. For example, customers may praise the durability of a product or the ease of use of a feature. By understanding what customers value, businesses can focus on improving or promoting these features. Companies can **identify common issues** customers face by analyzing reviews and taking necessary steps to improve their products. Additionally, businesses can identify product features that customers value most and use this information to develop or improve existing products.
|
| 247 |
+
|
| 248 |
+
|
| 249 |
+
Amazon product reviews can provide businesses with ideas for new products or product features. By testing these ideas with a smaller group of customers and gathering feedback, companies can improve product performance and quality before launching the product to a broader audience.
|
| 250 |
+
|
| 251 |
+
|
| 252 |
+
**Amazon Product Sales Analysis** is a comprehensive examination of various factors related to a product's performance on the Amazon marketplace. It empowers sellers and businesses to make data-driven decisions, optimize their listings, and improve their overall sales and profitability. Practical sales analysis is an ongoing process that adapts to changing **market dynamics** and **consumer behaviour**.
|
| 253 |
+
|
| 254 |
+
|
| 255 |
+
Related Readings
|
| 256 |
+
|
| 257 |
+
Kimola provides resources to enhance your market research knowledge, providing tutorials, tips and tricks and best practices for different research scenarios.
|
| 258 |
+
|
| 259 |
+
[](/blog/how-to-scrape-and-analyze-amazon-reviews-for-free "How to Scrape and Analyze Amazon Reviews for Free?")
|
| 260 |
+
|
| 261 |
+
[How to Scrape and Analyze Amazon Reviews for Free?\\
|
| 262 |
+
Learn how to scrape and analyze Amazon Reviews for free with a few clicks instead of spending time and money on many tools at the...](/blog/how-to-scrape-and-analyze-amazon-reviews-for-free)
|
| 263 |
+
|
| 264 |
+
5 min read
|
| 265 |
+
|
| 266 |
+
[](/blog/mastering-market-research-a-beginners-guide-for-business-success "Mastering Market Research: A Beginner's Guide for Business Success")
|
| 267 |
+
|
| 268 |
+
[Mastering Market Research: A Beginner's Guide for Business Success\\
|
| 269 |
+
The history, benefits, best practices, and methods of market research, including surveys, interviews, focus groups, and observation.](/blog/mastering-market-research-a-beginners-guide-for-business-success)
|
| 270 |
+
|
| 271 |
+
6 min read
|
| 272 |
+
|
| 273 |
+
[](/blog/why-customer-feedback-is-important "Why Customer Feedback Is Important?")
|
| 274 |
+
|
| 275 |
+
[Why Customer Feedback Is Important?\\
|
| 276 |
+
Understanding and analyzing customer feedback will help you create a customer feedback loop.](/blog/why-customer-feedback-is-important)
|
| 277 |
+
|
| 278 |
+
8 min read
|
| 279 |
+
|
| 280 |
+
Subscribe to Our Newsletter!
|
| 281 |
+
|
| 282 |
+
We gather Research and AI news and share the newsletter with 3,000+ subscribers once every two weeks.
|
| 283 |
+
|
| 284 |
+
Subscribe
|
| 285 |
+
|
| 286 |
+
## Frequently Asked Questions About Amazon Review Analysis
|
| 287 |
+
|
| 288 |
+
- ### What is Amazon?
|
| 289 |
+
|
| 290 |
+
|
| 291 |
+
Amazon is a multinational technology company based in Seattle, Washington, USA. It is primarily known for its e-commerce platform, which allows individuals and businesses to buy and sell products online. It is one of the largest e-commerce platforms in the world, with a wide range of products, including books, electronics, clothing, home goods, and many others. Amazon offers various services to its customers, including fast and reliable shipping, secure payment methods, and easy returns. The platform allows sellers to create and manage their online storefronts, list their products for sale, and use Amazon's vast customer base to grow their business.
|
| 292 |
+
|
| 293 |
+
- ### What kind of information can be gathered from Amazon product reviews?
|
| 294 |
+
|
| 295 |
+
|
| 296 |
+
Amazon reviews can reveal a variety of information, such as the most important product features, common complaints or pain points, overall satisfaction levels, and even potential improvements or new product ideas. You can quickly gain insights into customer needs and motivations.
|
| 297 |
+
|
| 298 |
+
- ### Can I use Amazon reviews for market research even if I don't sell products on Amazon?
|
| 299 |
+
|
| 300 |
+
|
| 301 |
+
Yes, Amazon reviews can still provide valuable insights into consumer behaviour and preferences, even if you don't sell products on Amazon. It's a unique source for researching to identify common problems and opportunities in a specific industry.
|
| 302 |
+
|
| 303 |
+
- ### Can I count on Amazon product reviews for research?
|
| 304 |
+
|
| 305 |
+
|
| 306 |
+
Amazon takes the integrity of its product reviews platform very seriously. Suppose Amazon determines that a seller has attempted to manipulate reviews or violated Amazon's guidelines in any other manner. In that case, they may immediately suspend or terminate the business's Amazon privileges, remove reviews, and delist their products. Also, keep in mind that Amazon sellers cannot directly remove negative feedback; they can only contact Amazon to ask the customer to delete their feedback when the review contains hate speech, misleading information etc.
|
| 307 |
+
|
| 308 |
+
- ### How can I use Amazon product reviews for market research?
|
| 309 |
+
|
| 310 |
+
|
| 311 |
+
If you want to conduct market research based on Amazon product reviews, enter the product's Amazon page on Kimola. Kimola will then scrape, analyze, and classify the reviews to provide valuable insights.
|
| 312 |
+
|
| 313 |
+
|
| 314 |
+
Legal Disclaimer
|
| 315 |
+
|
| 316 |
+
We would like to clarify that this product is not created by Amazon and is not associated with or supported by Amazon in any way.
|
| 317 |
+
|
| 318 |
+
|
| 319 |
+
As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to Amazon's terms of use, including copyright regulations, when utilizing the extracted review data.
|
market_analysis_ai_20241130_034753.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"market_size": "638.23 billion",
|
| 3 |
+
"growth_rate": "20.4%",
|
| 4 |
+
"competitors": [],
|
| 5 |
+
"trends": [],
|
| 6 |
+
"key_findings": [
|
| 7 |
+
{
|
| 8 |
+
"title": "Artificial Intelligence (AI) Market",
|
| 9 |
+
"snippet": "The worldwide Artificial Intelligence market size is projected to grow from USD 214.6 billion in 2024 to $1,339.1 billion in 2030, at a Compound Annual Growth ...",
|
| 10 |
+
"source": "MarketsandMarkets",
|
| 11 |
+
"date": ""
|
| 12 |
+
},
|
| 13 |
+
{
|
| 14 |
+
"title": "Artificial Intelligence - Global | Statista Market Forecast",
|
| 15 |
+
"snippet": "The Artificial Intelligence market worldwide is projected to grow by 28.46% (2024-2030) resulting in a market volume of US$826.70bn in 2030.",
|
| 16 |
+
"source": "Statista",
|
| 17 |
+
"date": ""
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"title": "Artificial Intelligence Market Size, Share, Growth Report ...",
|
| 21 |
+
"snippet": "The global artificial intelligence market size was estimated at USD 196.63 billion in 2023 and is projected to grow at a CAGR of 36.6% from 2024 to 2030.",
|
| 22 |
+
"source": "Grand View Research",
|
| 23 |
+
"date": ""
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"title": "Global Artificial Intelligence Market Report",
|
| 27 |
+
"snippet": "The global AI industry is thriving. In 2021, AI global funding doubled to $66.8 billion, and a record 65 AI companies reached $1B+ valuations, up 442% from the ...",
|
| 28 |
+
"source": "International Trade Administration (.gov)",
|
| 29 |
+
"date": ""
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"title": "Artificial Intelligence [AI] Market Size, Share, Trends",
|
| 33 |
+
"snippet": "The global artificial intelligence [AI] market size is projected to grow from USD 621.19 billion in 2024 to USD 2740.46 billion by 2032 at a CAGR of 20.4%",
|
| 34 |
+
"source": "Fortune Business Insights",
|
| 35 |
+
"date": ""
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"title": "Artificial Intelligence (AI) Market Size to Reach USD ...",
|
| 39 |
+
"snippet": "The global artificial intelligence (AI) market size accounted for USD 638.23 billion in 2024 and is expected to reach around USD 3,680.47 billion by 2034, ...",
|
| 40 |
+
"source": "Precedence Research",
|
| 41 |
+
"date": ""
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"title": "10 AI Market Research Tools & How To Use Them",
|
| 45 |
+
"snippet": "This blog explores some of the top AI-based market research tools that speed up the time to insights without sacrificing quality or substance.",
|
| 46 |
+
"source": "Quantilope",
|
| 47 |
+
"date": ""
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"title": "PwC's Global Artificial Intelligence Study: Sizing the prize",
|
| 51 |
+
"snippet": "AI could contribute up to $15.7 trillion1 to the global economy in 2030, more than the current output of China and India combined.",
|
| 52 |
+
"source": "PwC",
|
| 53 |
+
"date": ""
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"title": "Global AI market size 2030",
|
| 57 |
+
"snippet": "The market for artificial intelligence grew beyond 184 billion US dollars in 2024, a considerable jump of nearly 50 billion compared to 2023.",
|
| 58 |
+
"source": "Statista",
|
| 59 |
+
"date": ""
|
| 60 |
+
}
|
| 61 |
+
],
|
| 62 |
+
"market_trends": [
|
| 63 |
+
"Thin-Film Photovoltaic Market by Material (Cadmium Telluride, Copper Indium Gallium Selenide, Amorphous Silicon, Perovskite, and Organic PV), Type (Rigid, and Flexible), Component (Module, Inverter, and BOS), End Use & Region - Global Forecast to 2029",
|
| 64 |
+
"Cardiac Monitoring & Cardiac Rhythm Management Devices Market Size, Share & Trends by Monitoring (ECG (Holter, ILR), COM), Rhythm Management (Defibrillators (ICD, AED), Pacemaker), Application (Heart Failure, Arrhythmias, MI), Procedure (Invasive) & Region - Global Forecast to 2029",
|
| 65 |
+
"Concentrated Photovoltaic Market By Concentration levels (High and Low), By Technology (Refractor and Reflectors), By Application (Utility-Scale, Commercial, and Others) & By Geography- Global Trends and Forecast to 2019",
|
| 66 |
+
"RNAI Technology Market- by Application (Research, Therapeutics) - Global Forecasts to 2019",
|
| 67 |
+
"Automotive Composites Market by Type (Polymer Matrix Composites, Metal Matrix Composites, and Ceramic Matrix Composites), by manufacturing process (Manual, Compression, Injection & Continuous) and by application (Interior Components, Exterior Components, Engine & Drivetrain Components and Others) - Global Trends & Forecast to 2019",
|
| 68 |
+
"AI Infrastructure Market by Offerings (Compute (GPU, CPU, FPGA), Memory (DDR, HBM), Network (NIC/Network Adapters, Interconnect), Storage, Software), Function (Training, Inference), Deployment (On-premises, Cloud, Hybrid) \u0096 Global Forecast to 2030",
|
| 69 |
+
"Artificial Intelligence in Retail Market by Solution (Personalized Product Recommendation, Visual Search, Virtual Stores, Virtual Customer Assistant, CRM), Type (Generative AI, Other AI), End-user (Online, Offline) - Global Forecast to 2030",
|
| 70 |
+
"Wearable Technology Market by Product (Smart Watch, Fitness Tracker, AR/VR, Smart Clothing & Footwear, Earwear, Exoskeleton, Smart Glasses, Smart Ring, Smart Helmet), Operation (AI-Based, Conventional), Type (Active, Passive) - Global Forecast to 2029",
|
| 71 |
+
"AI Vision Market by Vision Software (API, SDK), Vision Platform, Behavioral Analysis, Optical Character Recognition, Spatial Analysis, Image Recognition, Heatmap Analysis, Machine Learning, Deep Learning, CNN, Generative AI \u0096 Global Forecast to 2029",
|
| 72 |
+
"AIoT Market by Technology (ML, NLP, Computer Vision, Context Aware AI) and Platforms (IoT Device Management, IoT Application Enablement Platforms, IoT Connectivity Management, IoT Cloud, IoT Advanced Analytics) - Global Forecast to 2030"
|
| 73 |
+
],
|
| 74 |
+
"industry_insights": [
|
| 75 |
+
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|
| 76 |
+
"Electric vehicles and autonomous\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttechnology are driving the transportation industry into\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ta bold new era",
|
| 77 |
+
"Chemical industries are being reshaped\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tby demand for cleaner products, functionality and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\treduced environmental impact",
|
| 78 |
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| 79 |
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|
| 80 |
+
"Digital health technology, robotics and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tAI are changing the science and economics of traditional\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\thealthcare",
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| 81 |
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"Radical innovations in information and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tcommunication technology are being widely implemented\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tacross sectors and industries",
|
| 82 |
+
"Semiconductors, essential components of\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\telectronics are rapidly improving communications,\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tcomputing, healthcare and countless other applications",
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| 84 |
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"Thought leaders build revenue pipelines, enter new markets, outpace competitors and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tstay relevant",
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| 85 |
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| 86 |
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| 87 |
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"Market intelligence helps your teams\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tengage with clients and make operational decisions\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\taccording to customer needs",
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| 88 |
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"MI Cloud enables universities to\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tintegrate market intelligence and conventional learning\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\twith industry trends and practices",
|
| 89 |
+
"Our highly rewarding partner programme\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tenables you to unlock new strategies and positively\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\timpact revenue",
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"We capture timely intelligence from\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\trespected, global publishers\u00e2\u0080\u0094a crucial advantage in\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tunderstanding multinational markets",
|
| 91 |
+
"The thin-film photovoltaic market is expected to grow from USD 6.2 billion in 2024 to USD 12.4 billion by 2029, at a compound annual growth rate (CAGR) of 15.1% during the forecast period.The key players KANEKA CORPORATION (Japan), First Solar (US), Ascent Solar Technologies, Inc. (US), Hanwha Qcells (South Korea), Oxford Photovoltaics Ltd. (UK), and SHARP CORPORATION (Japan). JA SOLAR Technology Co., Ltd. (China), AVANCIS GmbH (Germany), MiaSole (US), Solbian (Italy), SOLARA (Germany), Custom Solar BIPV Panels \u0096 MetSolar (Lithuania), Enecom S.r.l. (Italy), TRONY (China), NanoPV Solar Inc. (New Jersey), QS SOLAR (China), Heliatek (Germany), Wuxi Suntech Power Co., Ltd. (China), Jinko Solar (China), Trinasolar (China), Panasonic Holdings Corporation (Japan), Sol Voltaics (Sweden), Tandem PV, Inc. (US), SOLAR FRONTIER K.K. (Japan), and REC Solar Holdings AS (Norway) .",
|
| 92 |
+
"The size of global cardiac monitoring & cardiac rhythm management devices market in terms of revenue was estimated to be worth USD 21.3 billion in 2024 and is poised to reach USD 26.4 billion by 2029, growing at a CAGR of 4.3% from 2024 to 2029. The comprehensive research encompasses an exhaustive examination of industry trends, meticulous pricing analysis, patent scrutiny, insights derived from conferences and webinars, identification of key stakeholders, and a nuanced understanding of market purchasing dynamics.",
|
| 93 |
+
"This report estimates the concentrated photovoltaic market in terms of value. The global concentrated photovoltaic market is segmented based on their concentration levels, which include high, medium, and low. The market is further segmented on the basis of regions such as Asia-Pacific, Europe, the Middle East & Africa, and Americas as well as on the basis of technologies such as refractors and reflectors. This has been further split into major countries for the respective geographies.",
|
| 94 |
+
"The report presents the latest advances in RNAi technologies and their clinical implication as a therapeutic platform. It charts the current trends in RNAi therapeutics, and analyzes the opportunities and challenges faced by the RNAi companies. The focus will be on the clinical needs, patented technologies and the competitive landscape across geographies.",
|
| 95 |
+
"Composites (Carbon fibers, glass fibers and resins) have made a big impact on the entire global market, including the automotive market. Using composites makes the cars lighter and renders greater resistance to heat, external impact and improves fuel efficiency. Almost all the leading car manufacturers are following a trend of replacing metal parts in their high end cars with composites and this trend can be seen being extended to mid-end to low end cars as well. With extensive research and cost-effective mass production techniques in place, the prices for composites have dropped and this has resulted in a direct increase in their demand for the all the application areas also including the automotive sector. This report will cover the demand for composites in the different types of automobiles like luxury cars, sedans, coupes, SUVs, small family cars, heavy duty vehicles, sports cars and so on.",
|
| 96 |
+
"The AI Infrastructure market is expected to grow from USD 135.81 billion in 2024 to USD 394.46 billion by 2030, at a compound annual growth rate (CAGR) of 19.4% during the forecast period.The key players NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), SK HYNIX INC. (South Korea), SAMSUNG (South Korea), Micron Technology, Inc. (US), Intel Corporation (US), Google (US), Amazon Web Services, Inc. (US), Tesla (US), Microsoft (US), Meta (US), Graphcore (UK), Groq, Inc. (US), Shanghai BiRen Technology Co., Ltd. (China), Cerebras (US).",
|
| 97 |
+
"The AI in retail market is projected to reach USD 164.74 billion by 2030, at a CAGR of 32.0% during the forecast period. Microsoft (US), IBM (US), Google (US), Amazon (US), Oracle (US), Salesforce (US), NVIDIA (US), SAP (Germany), ServiceNow (US), Accenture (Ireland), Infosys (India), Alibaba (China), Intel (US), AMD (US), Fujitsu (Japan), Capgemini (France), TCS (India), Talkdesk (US), Symphony AI (US), Bloomreach (US), C3.AI (US), Visenze (Singapore), Pathr.ai (US), Vue.AI (US), Nextail (Spain), Daisy Intelligence (Canada), Cresta (US), Mason (US), Syte (Israel), Trax (Singapore), Feedzai (US), and Shopic (Israel).",
|
| 98 |
+
"The global wearable technology market is expected to grow from USD 70.30 billion in 2024 to USD 152.82 billion by 2029, at a compound annual growth rate (CAGR) of 16.8% during the forecast period.The key players Apple Inc. (US), Garmin Ltd. (US), SAMSUMG (South Korea), Sony Group Corporation (Japan), Huawei Technologies Co., Ltd. (China), LG Electronics. (South Korea), Alphabet Inc. (US), Microsoft (US), Lenovo (Hong Kong), Meta (US), Amazon.com, Inc (US), Xiaomi (China), OPPO (China), and Imagine Marketing Limited (India) .",
|
| 99 |
+
"The global AI vision market is expected to grow from USD 14.85 billion in 2024 to USD 43.02 billion in 2029, at a compound annual growth rate (CAGR) of 23.7% during the forecast period.The key players NVIDIA Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Alphabet Inc. (US), Amazon.com, Inc. (US), IBM (US), Oracle (US), Cognex Corporation (US), Qualcomm Technologies, Inc. (US), STMicroelectronics (Switzerland).",
|
| 100 |
+
"The AIoT market size is projected to reach USD 79.13 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 27.6% during the forecast period. The major players in the AIoT market are IBM (US), Cisco (US), AWS (US), Google (US), Microsoft (US), Oracle (US), HPE (US), Intel (US), Hitachi (Japan), SAP (Germany), Tencent Cloud (China), Sharp Global (Japan), SAS (US), PTC (US), Telit Cinterion (UK), Axiomtek (Taiwan), Softweb Solutions (US), Wiliot (Israel), Relayr (US), Terminus Group (China), C3 IoT (US), Clearblade (US), Semifive (South Korea), Falkonry (US), and Uptake (US).",
|
| 101 |
+
"MarketsandMarkets is a competitive intelligence and market research platform providing over 10,000 clients worldwide with quantified B2B research and built on the Give principles.",
|
| 102 |
+
"Horizon is the most expansive market research solution. With over 20,000 market reports & 1 million+ statistics at your fingertips and a platform to tell you what to do, this subscription will help you stay informed, all the time.",
|
| 103 |
+
"As a multi-national company in search of specific market insights spanning different sectors and platforms, Grand View Research delivered great research information that met our needs. They were able to customize reports to our specifications, and despite...",
|
| 104 |
+
"Thank you for the kind support of your team !!! I have received the final report, and the report is really helpful for me. Moreover, I will contact you, if I have any new need for market research materials, of course. Thank you again.",
|
| 105 |
+
"We have worked on several projects with Grand View over the past two years. Much of the research we requested was customization and difficult to find. The quality of research on everything they have done for us has been excellent. Grand View not only met our expectations...",
|
| 106 |
+
"We are very grateful to Grand View Research for helping us gather some of the data our team needed on market use of various chemicals. We used the information from their studies \u201cGlobal solvents market volume share by application, 2013 and...",
|
| 107 |
+
"Grand View Research is registered in the State of California at Grand View Research, Inc. 201 Spear Street 1100, San Francisco, CA 94105, United States"
|
| 108 |
+
]
|
| 109 |
+
}
|
market_analysis_hotel_20241130_032846.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"market_size": "25.04 billion",
|
| 3 |
+
"growth_rate": "4.87%",
|
| 4 |
+
"competitors": [],
|
| 5 |
+
"trends": [],
|
| 6 |
+
"key_findings": [
|
| 7 |
+
{
|
| 8 |
+
"title": "Hotels & Motels in the US - Market Research Report (2014- ...",
|
| 9 |
+
"snippet": "Hotel & Motel industry revenue is estimated to fall at a CAGR of 0.4% to $239.0 billion over the five years through 2024, including 3.4% growth in 2024. Trends ...",
|
| 10 |
+
"source": "IBISWorld",
|
| 11 |
+
"date": ""
|
| 12 |
+
},
|
| 13 |
+
{
|
| 14 |
+
"title": "Hotel/Motel Market Analysis",
|
| 15 |
+
"snippet": "The guidebook is designed to provide you with an industry-specific market analysis format that can be used in a feasibility study, business plan or marketing.",
|
| 16 |
+
"source": "Extension \u2013 University of Wisconsin-Madison",
|
| 17 |
+
"date": ""
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"title": "Analyzing Hotel Market Trends: Staying Ahead of the ...",
|
| 21 |
+
"snippet": "Market analysis provides valuable insights into pricing trends, allowing hoteliers to set competitive rates based on supply and demand dynamics.",
|
| 22 |
+
"source": "Landmark Hotel Group",
|
| 23 |
+
"date": "Oct 26, 2024"
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"title": "Luxury Hotel Market Size, Share | Growth Analysis Report, ...",
|
| 27 |
+
"snippet": "The global luxury hotel market size was valued at $140.28 billion in 2023 & is anticipated to grow from $154.32 billion in 2024 to $369.36 billion by 2032.",
|
| 28 |
+
"source": "Fortune Business Insights",
|
| 29 |
+
"date": ""
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"title": "Hotels Market - Global Industry Analysis and Forecast ...",
|
| 33 |
+
"snippet": "Hotels Market was valued at USD 981.22 Billion in 2023, and it is expected to reach USD 1816.88 Billion by 2030, exhibiting a CAGR of 9.2%.",
|
| 34 |
+
"source": "maximize market research",
|
| 35 |
+
"date": ""
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"title": "Boutique Hotel Market Size, Share & Trends Report, 2030",
|
| 39 |
+
"snippet": "The global boutique hotel market size was valued at USD 25.04 billion in 2023 and is expected to grow at a CAGR of 7.1% from 2024 to 2030.",
|
| 40 |
+
"source": "Grand View Research",
|
| 41 |
+
"date": ""
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"title": "US Hospitality Industry - Statistics, Analysis, Market Growth ...",
|
| 45 |
+
"snippet": "The US Hospitality Market is expected to reach USD 235.96 billion in 2024 and grow at a CAGR of 4.87% to reach USD 299.29 billion by 2029.",
|
| 46 |
+
"source": "Mordor Intelligence",
|
| 47 |
+
"date": ""
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"title": "Hotel Industry Trends Analysis - STR Global",
|
| 51 |
+
"snippet": "Trend reports are the ideal resource for a thorough analysis of the hotel industry. Years' worth of monthly, YTD and total-year performance metrics.",
|
| 52 |
+
"source": "str.com",
|
| 53 |
+
"date": ""
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"title": "Hotel Market Analysis Report | 550+ Performance Metrics",
|
| 57 |
+
"snippet": "HotStats' reports provide benchmark data and industry performance metrics from millions of hotel rooms for 120 brands, including the top global names.",
|
| 58 |
+
"source": "HotStats",
|
| 59 |
+
"date": ""
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"title": "Hotel Market Research",
|
| 63 |
+
"snippet": "Hotel market research offers nuanced insights into shifting guest demographics, emerging travel patterns, and competitive landscapes.",
|
| 64 |
+
"source": "SIS International Research",
|
| 65 |
+
"date": ""
|
| 66 |
+
}
|
| 67 |
+
],
|
| 68 |
+
"market_trends": [
|
| 69 |
+
"Commercial Refrigeration Market by Product Type, Refrigerant Type (HCFCs, HFCs, HFO, Isobutane, Propane, Ammonia, Carbon Dioxide), Application, End Use (Supermarkets & Hypermarkets, Hotels & Restaurants, Bakeries), & Region - Global Forecast to 2028",
|
| 70 |
+
"Commercial Refrigeration Equipment Market by Product Type, Refrigerant Type (Fluorocarbons, Hydrocarbons, Inorganics), Application (Hotels & Restaurants, Supermarkets & Hypermarkets), and Region - Global Forecast to 2026",
|
| 71 |
+
"Casino Management Systems Market by Component (Solutions and Services), Application (Accounting, Security and Surveillance, Player Tracking, Hotel and Hospitality, Analytics, and Digital Content Management), End User, and Region - Global Forecast to 2025",
|
| 72 |
+
"Hospitality Robots Market by type (Front desk robots, Delivery robots, cleaning robots) by application (Hotels, Restaurants, Travel and tourism) and by Region - Global Forecast to 2030",
|
| 73 |
+
"Casino Management Systems Market by Component (Solutions and Services), Application (Accounting, Security and Surveillance, Player Tracking, Hotel and Hospitality, Analytics, and Digital Content Management), End User, and Region - Global Forecast to 2025",
|
| 74 |
+
"Microdisplay Market by Product (NTE Devices, HUDs, Projectors), Technology (OLED, LCoS, MicroLED), Vertical (Consumer, Industrial and Enterprise, Automotive, Retail & Hospitality, Medical), Resolution and Brightness & Region - Global Forecast to 2029",
|
| 75 |
+
"Wireless Audio Device Market by Product (True Wireless Hearables/Earbuds, Headsets, Earphones), Technology (Bluetooth, Airplay, Wi-Fi), Application (Consumer, Home Audio, Automotive), Functionality (Smart, Non-smart) and Region - Global Forecast to 2029",
|
| 76 |
+
"Stone Flooring Market by Type (Granite, Limestone, Marble), Application (Residential, and Non-Residential), & Region (North America, South America, Europe, Asia Pacific, and Middle East & Africa) \u0096 Global Forecast to 2029",
|
| 77 |
+
"Digital Signage Market Size, Share, Trends & Industry Growth Analysis Report ,by Product (Video Walls, Kiosks, Billboards, System-on-chip), Displays, Resolution (4K, 8K, FHD, HD), Software, Display Size, Application and Region - Global Forecast to 2029",
|
| 78 |
+
"Low-Speed Vehicle Market by Vehicle Type (Commercial Turf Utility, Industrial Utility, Golf Cart, Personal), Power Output (=5, 6-15, >15 kW), Motor Type & Configuration, Propulsion, Battery Type, Application, Category, Voltage - Global Forecast to 2030"
|
| 79 |
+
],
|
| 80 |
+
"industry_insights": [
|
| 81 |
+
"Defence and aerospace organisations\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tneed to incorporate key strategic and technological\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tadvancements to stay effective",
|
| 82 |
+
"Electric vehicles and autonomous\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttechnology are driving the transportation industry into\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ta bold new era",
|
| 83 |
+
"Chemical industries are being reshaped\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tby demand for cleaner products, functionality and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\treduced environmental impact",
|
| 84 |
+
"Your business can become\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tenergy-intelligent through our deep domain knowledge of\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\telectrification and digitalisation",
|
| 85 |
+
"Changing consumer patterns and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttechnologies have flipped the current food production\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tsystems on their heads",
|
| 86 |
+
"Digital health technology, robotics and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tAI are changing the science and economics of traditional\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\thealthcare",
|
| 87 |
+
"Radical innovations in information and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tcommunication technology are being widely implemented\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tacross sectors and industries",
|
| 88 |
+
"Semiconductors, essential components of\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\telectronics are rapidly improving communications,\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tcomputing, healthcare and countless other applications",
|
| 89 |
+
"Optimise user experience and foster a\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tcustomer-centric culture in the firm through MI Cloud",
|
| 90 |
+
"Thought leaders build revenue pipelines, enter new markets, outpace competitors and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tstay relevant",
|
| 91 |
+
"Identify new geographies and capture\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tnew markets through customer growth insights and solid\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tmarket intelligence",
|
| 92 |
+
"Achieve mainstream adoption of new\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tideas and products through our market intelligence\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\texperts and ROI specialists",
|
| 93 |
+
"Market intelligence helps your teams\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tengage with clients and make operational decisions\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\taccording to customer needs",
|
| 94 |
+
"MI Cloud enables universities to\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tintegrate market intelligence and conventional learning\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\twith industry trends and practices",
|
| 95 |
+
"Our highly rewarding partner programme\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tenables you to unlock new strategies and positively\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\timpact revenue",
|
| 96 |
+
"We capture timely intelligence from\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\trespected, global publishers\u00e2\u0080\u0094a crucial advantage in\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tunderstanding multinational markets",
|
| 97 |
+
"The commercial refrigeration market is expected to grow from USD 45.5 billion in 2023 to USD 60.5 billion by 2028, at a CAGR of 5.8% during the forecast period. The major players operating in the commercial refrigeration market include Daikin (Japan), Johnson Controls (US), Carrier (US), Dover (US), Baltimore Aircoil Company (US), Blue Star Limited (India), De Rigo Refrigeration (Italy), Fogel (Guatemala), Hussmann (US), Imbera (Mexico), KMW (Germany), Mayekawa Mfg. Co., Ltd. (Japan), Runte (China), SCM Frigo (Italy), True (US), Viessmann (Germany), Voltas (India), and others.",
|
| 98 |
+
"The commercial refrigeration equipment market is expected to grow from USD 32.0 billion in 2021 to USD 43.3 billion by 2026, at a compound annual growth rate (CAGR) of 6.2% during the forecast period.Carrier (US), Emerson Electric Company (US), Daikin (Japan), Danfoss (Denmark), and GEA Group (Germany).",
|
| 99 |
+
"The Casino Management Systems Market is expected to grow from USD 6.4 billion in 2020 to USD 13.7 billion by 2025, at a CAGR of 16.4% during the forecast period. Major vendors offering casino management system software include Novomatic (Austria), Konami Gaming (Japan), Agilysys (US), Scientific Games (US), Oracle (US), Winsystems (Spain), Panasonic (Japan), Ensico Gaming (Slovenia), Apex Pro Gaming (Czechia), Amatic Industries (Austria), Honeywell (US), Dallmeier (Germany), HCL (India), Playtech (UK), Cyrun (US), IGT (UK), LGS (US), Wavestore (UK), Tangam Systems (US), Advansys (Slovenia), Avigilon (Canada), Casinfo Systems (US), RNGplay (India), FunFair (Ireland), Gaming Analytics (US), Delta Casino Systems (US), DAObet (Singapore), CasinoFlex Systems (Bulgaria), Omnigo (US), NtechLab (Russia), Nelysis (US), and Bateleur Systems (India).",
|
| 100 |
+
"The Casino Management Systems Market is expected to grow from USD 6.4 billion in 2020 to USD 13.7 billion by 2025, at a CAGR of 16.4% during the forecast period. Major vendors offering casino management system software include Novomatic (Austria), Konami Gaming (Japan), Agilysys (US), Scientific Games (US), Oracle (US), Winsystems (Spain), Panasonic (Japan), Ensico Gaming (Slovenia), Apex Pro Gaming (Czechia), Amatic Industries (Austria), Honeywell (US), Dallmeier (Germany), HCL (India), Playtech (UK), Cyrun (US), IGT (UK), LGS (US), Wavestore (UK), Tangam Systems (US), Advansys (Slovenia), Avigilon (Canada), Casinfo Systems (US), RNGplay (India), FunFair (Ireland), Gaming Analytics (US), Delta Casino Systems (US), DAObet (Singapore), CasinoFlex Systems (Bulgaria), Omnigo (US), NtechLab (Russia), Nelysis (US), and Bateleur Systems (India).",
|
| 101 |
+
"The global microdisplay market is expected to grow from USD 1.3 billion in 2024 to USD 3.0 billion in 2029, at a compound annual growth rate (CAGR) of 18.2% during the forecast period.The key players Seiko Epson Corporation (Japan), SeeYA Technology (China), Sony Group Corporation (Japan), Kopin Corporation (US), Himax Technologies, Inc. (Taiwan), and HOLOEYE Photonics AG (Germany) .",
|
| 102 |
+
"The Wireless Audio Device Market is expected to grow from USD 56.5 billion in 2024 to USD 70.9 billion by 2029, at a compound annual growth rate (CAGR) of 4.7% during the forecast period.The key players Apple Inc (US), SAMSUNG (South Korea), Bose Corporation (US), Sonos, Inc. (US), Sony Corporation (Japan).",
|
| 103 |
+
"The stone flooring market is expected to grow from USD 14.7 billion in 2024 to USD 19.9 billion by 2029, at a CAGR of 6.3% during the forecast period. Mohawk Industries, Inc. (US), Shaw Industries Group, Inc. (US), Stone Source LLC (US), Polycor Inc. (US), and Emser Tile (US) are the key players operating in the stone flooring market. Expansions, acquisitions, and partnerships are some of the major strategies adopted by these key players to enhance their positions in the stone flooring market.",
|
| 104 |
+
"The global digital signage market is expected to grow from USD 20.1 Billion in 2024 to USD 27.3 billion by 2029, at a compound annual growth rate (CAGR) of 6.3% during the forecast period.The key players Samsung Electronics Co., Ltd. (South Korea), LG Electronics (South Korea), Sharp NEC Display Solutions (Japan), LEYARD (China), Sony Group Corporation (Japan), Barco (Belgium), Panasonic Corporation (Japan), AUO Corporation (Taiwan), Shanghai Xianshi Electronic Technology Co., Ltd (China) and BrightSign LLC (US).",
|
| 105 |
+
"The low-speed vehicle market is projected to reach USD 16.3 billion by 2030, at a CAGR of 6.6% during the forecast period. Textron Inc. (US), Deere & Company (US), Yamaha Motor Co., Ltd. (Japan), The Toro Company (US), Kubota Corporation (Japan), Club Car (US), American Landmaster (US), Columbia Vehicle Group Inc. (US), Waev Inc. (US), Suzhou Eagle Electric Vehicle Manufacturing (China).",
|
| 106 |
+
"MarketsandMarkets is a competitive intelligence and market research platform providing over 10,000 clients worldwide with quantified B2B research and built on the Give principles.",
|
| 107 |
+
"Horizon is the most expansive market research solution. With over 20,000 market reports & 1 million+ statistics at your fingertips and a platform to tell you what to do, this subscription will help you stay informed, all the time.",
|
| 108 |
+
"As a multi-national company in search of specific market insights spanning different sectors and platforms, Grand View Research delivered great research information that met our needs. They were able to customize reports to our specifications, and despite...",
|
| 109 |
+
"Thank you for the kind support of your team !!! I have received the final report, and the report is really helpful for me. Moreover, I will contact you, if I have any new need for market research materials, of course. Thank you again.",
|
| 110 |
+
"We have worked on several projects with Grand View over the past two years. Much of the research we requested was customization and difficult to find. The quality of research on everything they have done for us has been excellent. Grand View not only met our expectations...",
|
| 111 |
+
"We are very grateful to Grand View Research for helping us gather some of the data our team needed on market use of various chemicals. We used the information from their studies \u201cGlobal solvents market volume share by application, 2013 and...",
|
| 112 |
+
"Grand View Research is registered in the State of California at Grand View Research, Inc. 201 Spear Street 1100, San Francisco, CA 94105, United States"
|
| 113 |
+
]
|
| 114 |
+
}
|
market_analysis_scam_20241130_032826.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"market_size": "28.8 billion",
|
| 3 |
+
"growth_rate": "18.7%",
|
| 4 |
+
"competitors": [],
|
| 5 |
+
"trends": [],
|
| 6 |
+
"key_findings": [
|
| 7 |
+
{
|
| 8 |
+
"title": "The Hidden World of Market Research Fraud",
|
| 9 |
+
"snippet": "The market research industry loses over $350M per year to fraud, with over 40% of firms affected.",
|
| 10 |
+
"source": "Tremendous",
|
| 11 |
+
"date": "Sep 3, 2024"
|
| 12 |
+
},
|
| 13 |
+
{
|
| 14 |
+
"title": "Fraud Detection and Prevention Market Size, Trends & ...",
|
| 15 |
+
"snippet": "The fraud detection and prevention (FDP) market size is projected to grow from USD 28.8 billion in 2024 to USD 63.2 billion by 2029 at a Compound Annual Growth ...",
|
| 16 |
+
"source": "MarketsandMarkets",
|
| 17 |
+
"date": ""
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"title": "Fraud Detection and Prevention Market Growth Report [2030]",
|
| 21 |
+
"snippet": "The global fraud detection and prevention market is projected to grow from $52.82 billion in 2024 to $255.39 billion by 2032, at a CAGR of 21.8%",
|
| 22 |
+
"source": "Fortune Business Insights",
|
| 23 |
+
"date": ""
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"title": "The Latest Research: Why Do Targets Engage with Scams?",
|
| 27 |
+
"snippet": "Scammers are very good at maintaining the engagement, and I know one study has found that 40 percent of people who do engage end up losing money.",
|
| 28 |
+
"source": "finra",
|
| 29 |
+
"date": "Oct 15, 2024"
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"title": "Understanding the Fraud Problem in Market Research",
|
| 33 |
+
"snippet": "This deceptive practice involves individuals misrepresenting themselves or providing false responses to qualify for or complete surveys, often ...",
|
| 34 |
+
"source": "Emporia Research",
|
| 35 |
+
"date": "Nov 6, 2023"
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"title": "Are Businesses Losing Billions to Market Research Fraud?",
|
| 39 |
+
"snippet": "On the one hand, everyone agrees that 30% to 40% of all market research data is fraudulent. There is more uncertainty, however, about whether ...",
|
| 40 |
+
"source": "CloudResearch",
|
| 41 |
+
"date": "Jul 14, 2023"
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"title": "Online Survey Frauds in Market Research: Challenges and ...",
|
| 45 |
+
"snippet": "This article delves into the various facets of online survey fraud, its impact on marketing research, and potential solutions to mitigate its effects.",
|
| 46 |
+
"source": "Greenbook.org",
|
| 47 |
+
"date": "Jul 19, 2024"
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"title": "Fraud Detection And Prevention Market | Industry Report, ...",
|
| 51 |
+
"snippet": "The global fraud detection and prevention market was valued at USD 33.13 billion in 2024 and is projected to grow at a CAGR of 18.7% from 2025 to 2030.",
|
| 52 |
+
"source": "Grand View Research",
|
| 53 |
+
"date": ""
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"title": "As Nationwide Fraud Losses Top $10 Billion in 2023, FTC ...",
|
| 57 |
+
"snippet": "Consumers reported losing more money to investment scams\u2014more than $4.6 billion\u2014than any other category in 2023. That amount represents a 21% ...",
|
| 58 |
+
"source": "Federal Trade Commission (.gov)",
|
| 59 |
+
"date": "Feb 9, 2024"
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"title": "Businesses and Investors are Losing Billions to Fraudulent ...",
|
| 63 |
+
"snippet": "A huge amount of information collected is fake. Fast Company reports that \u201cbetween 15% and 30% of all market research data is fraudulent.\u201d",
|
| 64 |
+
"source": "Nasdaq",
|
| 65 |
+
"date": "May 1, 2023"
|
| 66 |
+
}
|
| 67 |
+
],
|
| 68 |
+
"market_trends": [
|
| 69 |
+
"Deepfake AI Market by Offering (Deepfake Detection & Authentication, Deepfake Generation, Content Moderation), Technology (Generative Adversarial Networks, NLP, Autoencoders, Diffusion Models, Transformers) - Global Forecast to 2030",
|
| 70 |
+
"Data Loss Prevention Market by Offering (Solution, Services), Solution Type (Network DLP, Storage DLP, Endpoint DLP, Cloud DLP), Service (Consulting, Managed Security Service), Applications, Vertical and Regions - Global Forecast to 2028",
|
| 71 |
+
"Business Email Compromise (BEC) Market by Offering (Solutions and Services), Deployment Mode (Cloud and On-premises), Organization Size (SMEs and Large Enterprises), Vertical (BFSI, Government, Healthcare) and Region - Global Forecast to 2027",
|
| 72 |
+
"SMS Firewall Market by Component (SMS Firewall Platform and Services (Professional and Managed)), SMS Type (A2P and P2A Messages), SMS Traffic (National and International), Deployment Mode (On-premises and Cloud), and Region - Global Forecast to 2025",
|
| 73 |
+
"Cloud Endpoint Protection Market by Component, Solution (Antivirus, Anti-spyware, Firewall, Endpoint Device Control, Anti-phishing, Endpoint Application Control), Service, Organization Size, Vertical, and Region - Global Forecast 2023",
|
| 74 |
+
"Self-Cleaning Filters Market by Material (Stainless Steel, Carbon), End-Use Industry (Food & Beverage, Automotive, Chemical & Power, Oil & Gas, Wastewater Treatment, Marine, Agriculture Irrigation & Domestic Water), and Region - Global Forecast to 2022"
|
| 75 |
+
],
|
| 76 |
+
"industry_insights": [
|
| 77 |
+
"Defence and aerospace organisations\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tneed to incorporate key strategic and technological\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tadvancements to stay effective",
|
| 78 |
+
"Electric vehicles and autonomous\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttechnology are driving the transportation industry into\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ta bold new era",
|
| 79 |
+
"Chemical industries are being reshaped\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tby demand for cleaner products, functionality and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\treduced environmental impact",
|
| 80 |
+
"Your business can become\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tenergy-intelligent through our deep domain knowledge of\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\telectrification and digitalisation",
|
| 81 |
+
"Changing consumer patterns and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttechnologies have flipped the current food production\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tsystems on their heads",
|
| 82 |
+
"Digital health technology, robotics and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tAI are changing the science and economics of traditional\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\thealthcare",
|
| 83 |
+
"Radical innovations in information and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tcommunication technology are being widely implemented\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tacross sectors and industries",
|
| 84 |
+
"Semiconductors, essential components of\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\telectronics are rapidly improving communications,\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tcomputing, healthcare and countless other applications",
|
| 85 |
+
"Optimise user experience and foster a\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tcustomer-centric culture in the firm through MI Cloud",
|
| 86 |
+
"Thought leaders build revenue pipelines, enter new markets, outpace competitors and\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tstay relevant",
|
| 87 |
+
"Identify new geographies and capture\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tnew markets through customer growth insights and solid\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tmarket intelligence",
|
| 88 |
+
"Achieve mainstream adoption of new\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tideas and products through our market intelligence\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\texperts and ROI specialists",
|
| 89 |
+
"Market intelligence helps your teams\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tengage with clients and make operational decisions\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\taccording to customer needs",
|
| 90 |
+
"MI Cloud enables universities to\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tintegrate market intelligence and conventional learning\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\twith industry trends and practices",
|
| 91 |
+
"Our highly rewarding partner programme\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tenables you to unlock new strategies and positively\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\timpact revenue",
|
| 92 |
+
"We capture timely intelligence from\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\trespected, global publishers\u00e2\u0080\u0094a crucial advantage in\r\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tunderstanding multinational markets",
|
| 93 |
+
"The Deepfake AI market is projecting to USD 5,134 million by 2030. This phenomenal upward trend, characterized by a remarkable CAGR of 44.5% during the forecast period, The major players in the deepfake AI market include Synthesia (UK), Reface (Ukraine), Sentinel AI (Estonia), Pindrop (US), BioID (Germany), along with SMEs and startups such as D-ID (Israel), DuckDuckGoose (Netherlands), Q-Integrity (Switzerland), Sensity AI (Netherlands) and Kroop AI (India).",
|
| 94 |
+
"The Data Loss Prevention market is projected to reach USD 8.9 billion by 2028, at a CAGR of 21.2% during the forecast period. The Data Loss Prevention market comprises significant providers, such as Broadcom (US), IBM (US), Microsoft (US), Trend Micro (Japan), McAfee (US), Palo Alto Networks (US), GTB Technologies (US), InfoWatch (Russia), Fortra (US), Cisco Systems (US), etc. These competitors have used various growth methods to increase their market share in the Data Loss Prevention industry, including partnerships, agreements, collaborations, new product releases, product enhancements, and acquisitions.",
|
| 95 |
+
"MarketsandMarkets forecasts the global Business Email Compromise (BEC) market size is projected to reach USD 2.8 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 19.4% during the forecast period. Major vendors in the global BEC market include Proofpoint (US), Mimecast (UK), Check Point (Israel), Cisco (US), Broadcom (US), Agari (US), Trend Micro (Japan), Zix (US), Barracuda Networks (US), GreatHorn (US), IRONSCALES (US), Area 1 Security (US), Clearswift (UK), Fortinet (US), Tessian (US), Terranova Security (Canada), ZeroFox (US), Heimdal Security (Denmark), Acronis (Switzerland), PhishLabs (US), Redscan (UK), Armorblox (US), Cellopoint (Taiwan), Trustifi (US), and Abnormal Security (US).",
|
| 96 |
+
"The Short Message Service (SMS) firewall market size is expected to grow USD 3.0 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 7.0% during the forecast period. Major vendors of SMS firewall include Comviva (India), Mobileum (US), AdaptiveMobile Security (Ireland), BICS (Belgium), Monty Mobile (UK), ANAM Technologies (Ireland), Infobip Ltd (UK), Route Mobile Limited (India), Proofpoint, Inc (US), Sinch (Sweden), TeleOSS (India), NetNumber Inc (US), Enghouse Networks (Canada), Global Wavenet (Singapore), HAUD (Malta), Tango Telecom Limited (Ireland), Eastwind (Russia), SAP SE (Germany), Tata Communications (India), AMD Telecom S.A. (Greece), Omobio (Sri Lanka), Syniverse Technologies LLC (US), Mavenir (US), Cellusys (Ireland), BroadNet Technologies (Lebanon), Mylinex International (Pvt) Ltd (Sri Lanka), TWILIO INC (US), NewNet (US), Openmind Networks (Ireland), Mitto (Switzerland), Tanla (India), and 6d Technologies (India).",
|
| 97 |
+
"The global cloud endpoint protection market is expected to grow from USD 1,014.4 million in 2018 to USD 1,819.0 million by 2023, at a Compound Annual Growth Rate (CAGR) of 12.4% during the forecast period. Cloud endpoint protection solutions are easy to use SaaS-based security solutions that protect and manage mobile devices and servers from a single console. The advancement in technologies and hacking methods has increased the need for endpoint security system that can learn quickly and defend against security threats in real time. Moreover, benefits such as cost-effectiveness and scalability have propelled the demand for cloud endpoint protection solutions across verticals.",
|
| 98 |
+
"The self-cleaning filters market is estimated to be USD 5.03 Billion in 2017, and is projected to reach USD 7.18 Billion by 2022, at a CAGR of 7.4% from 2017 to 2022. Eaton Corporation plc (Ireland), Parker Hannifin Corporation (U.S.), Alfa Laval AG (Sweden), Amiad Water Systems Ltd. (Israel), 3M Company (U.S.), Baleen Filters Pty. Ltd. (Australia), The Dow Chemical Company (U.S.), Oxford Filtration Limited (U.K.), Pall Corporation (U.S.), Cummins, Inc. (U.S.), HYDAC Filter System GmbH (Germany), JUDO Water Treatment GmbH (Germany), VAF Filtration Systems (U.S.), Morrill Industries, Inc. (U.S.), SCAM Filters (Filters), Forsta Filters, Inc. (U.S.), STF Filtros (Spain), Georg Sch\u00fcnemann GmbH (Germany), and Orival Inc.(U.S.), among others, are the key players operating in the market.",
|
| 99 |
+
"MarketsandMarkets is a competitive intelligence and market research platform providing over 10,000 clients worldwide with quantified B2B research and built on the Give principles.",
|
| 100 |
+
"Horizon is the most expansive market research solution. With over 20,000 market reports & 1 million+ statistics at your fingertips and a platform to tell you what to do, this subscription will help you stay informed, all the time.",
|
| 101 |
+
"As a multi-national company in search of specific market insights spanning different sectors and platforms, Grand View Research delivered great research information that met our needs. They were able to customize reports to our specifications, and despite...",
|
| 102 |
+
"Thank you for the kind support of your team !!! I have received the final report, and the report is really helpful for me. Moreover, I will contact you, if I have any new need for market research materials, of course. Thank you again.",
|
| 103 |
+
"We have worked on several projects with Grand View over the past two years. Much of the research we requested was customization and difficult to find. The quality of research on everything they have done for us has been excellent. Grand View not only met our expectations...",
|
| 104 |
+
"We are very grateful to Grand View Research for helping us gather some of the data our team needed on market use of various chemicals. We used the information from their studies \u201cGlobal solvents market volume share by application, 2013 and...",
|
| 105 |
+
"Grand View Research is registered in the State of California at Grand View Research, Inc. 201 Spear Street 1100, San Francisco, CA 94105, United States"
|
| 106 |
+
]
|
| 107 |
+
}
|
market_assessment_api.py
ADDED
|
@@ -0,0 +1,232 @@
|
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|
|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
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|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import logging
|
| 2 |
+
from datetime import datetime
|
| 3 |
+
from firecrawl import FirecrawlApp
|
| 4 |
+
import json
|
| 5 |
+
import os
|
| 6 |
+
import requests # Import requests for making API calls
|
| 7 |
+
import time
|
| 8 |
+
import google.generativeai as genai
|
| 9 |
+
|
| 10 |
+
# Initialize logging
|
| 11 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 12 |
+
|
| 13 |
+
# Initialize Firecrawl
|
| 14 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 15 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 16 |
+
logging.info("Firecrawl initialized")
|
| 17 |
+
|
| 18 |
+
# Initialize Gemini
|
| 19 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 20 |
+
if GOOGLE_API_KEY:
|
| 21 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 22 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 23 |
+
logging.info("Gemini initialized")
|
| 24 |
+
else:
|
| 25 |
+
logging.warning("No Gemini API key found")
|
| 26 |
+
|
| 27 |
+
# Create a folder to store Gemini outputs
|
| 28 |
+
output_folder = 'gemini_outputs'
|
| 29 |
+
os.makedirs(output_folder, exist_ok=True)
|
| 30 |
+
|
| 31 |
+
def extract_domain(url):
|
| 32 |
+
"""Extract domain name from URL"""
|
| 33 |
+
try:
|
| 34 |
+
from urllib.parse import urlparse
|
| 35 |
+
domain = urlparse(url).netloc
|
| 36 |
+
return domain.replace('www.', '')
|
| 37 |
+
except:
|
| 38 |
+
return url
|
| 39 |
+
|
| 40 |
+
def get_market_data(business_query):
|
| 41 |
+
"""Get market assessment data using custom search API and Firecrawl"""
|
| 42 |
+
logging.info(f"\n{'='*50}\nGathering market data for: {business_query}\n{'='*50}")
|
| 43 |
+
|
| 44 |
+
result = {
|
| 45 |
+
"market_overview": [],
|
| 46 |
+
"market_dynamics": [],
|
| 47 |
+
"competitive_landscape": [],
|
| 48 |
+
"future_outlook": [],
|
| 49 |
+
"sources": []
|
| 50 |
+
}
|
| 51 |
+
|
| 52 |
+
search_queries = [
|
| 53 |
+
f"{business_query} market analysis",
|
| 54 |
+
f"{business_query} industry trends",
|
| 55 |
+
f"{business_query} market size revenue",
|
| 56 |
+
f"{business_query} market growth forecast",
|
| 57 |
+
f"{business_query} market opportunities challenges"
|
| 58 |
+
]
|
| 59 |
+
|
| 60 |
+
scraped_content = []
|
| 61 |
+
max_attempts = 2
|
| 62 |
+
|
| 63 |
+
for query in search_queries:
|
| 64 |
+
try:
|
| 65 |
+
logging.info(f"\nSearching for: {query}")
|
| 66 |
+
# Custom Search API parameters
|
| 67 |
+
api_key = "AIzaSyAxeLlJ6vZxOl-TblUJg_dInBS3vNxaFVY"
|
| 68 |
+
search_engine_id = "37793b12975da4e35"
|
| 69 |
+
search_url = f"https://www.googleapis.com/customsearch/v1?key={api_key}&cx={search_engine_id}&q={query}&num=2"
|
| 70 |
+
|
| 71 |
+
response = requests.get(search_url)
|
| 72 |
+
search_results = response.json().get('items', [])
|
| 73 |
+
attempts = 0
|
| 74 |
+
|
| 75 |
+
for item in search_results:
|
| 76 |
+
url = item['link']
|
| 77 |
+
if attempts >= max_attempts:
|
| 78 |
+
break
|
| 79 |
+
|
| 80 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 81 |
+
try:
|
| 82 |
+
logging.info(f"Scraping: {url}")
|
| 83 |
+
response = firecrawl_app.scrape_url(
|
| 84 |
+
url=url,
|
| 85 |
+
params={'formats': ['markdown']}
|
| 86 |
+
)
|
| 87 |
+
|
| 88 |
+
if response and 'markdown' in response:
|
| 89 |
+
content = response['markdown']
|
| 90 |
+
if len(content) > 200:
|
| 91 |
+
logging.info("Successfully scraped content")
|
| 92 |
+
scraped_content.append({
|
| 93 |
+
'url': url,
|
| 94 |
+
'domain': extract_domain(url),
|
| 95 |
+
'section': 'Market Analysis',
|
| 96 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 97 |
+
'content': content[:1000]
|
| 98 |
+
})
|
| 99 |
+
break
|
| 100 |
+
except Exception as e:
|
| 101 |
+
if "402" in str(e):
|
| 102 |
+
logging.warning(f"Firecrawl credit limit reached for {url}")
|
| 103 |
+
scraped_content.append({
|
| 104 |
+
'url': url,
|
| 105 |
+
'domain': extract_domain(url),
|
| 106 |
+
'section': 'Market Analysis (Limited)',
|
| 107 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 108 |
+
'content': f"Content from {extract_domain(url)} about {business_query}'s market"
|
| 109 |
+
})
|
| 110 |
+
else:
|
| 111 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 112 |
+
attempts += 1
|
| 113 |
+
continue
|
| 114 |
+
|
| 115 |
+
time.sleep(2)
|
| 116 |
+
|
| 117 |
+
except Exception as e:
|
| 118 |
+
logging.error(f"Error in search: {str(e)}")
|
| 119 |
+
continue
|
| 120 |
+
|
| 121 |
+
if scraped_content:
|
| 122 |
+
try:
|
| 123 |
+
prompt = f"""
|
| 124 |
+
Analyze this content about {business_query}'s market and create a detailed assessment.
|
| 125 |
+
|
| 126 |
+
Content to analyze:
|
| 127 |
+
{[item['content'] for item in scraped_content]}
|
| 128 |
+
|
| 129 |
+
Provide a structured analysis with these exact sections:
|
| 130 |
+
|
| 131 |
+
MARKET OVERVIEW:
|
| 132 |
+
• Market Size
|
| 133 |
+
• Growth Rate
|
| 134 |
+
• Key Players
|
| 135 |
+
|
| 136 |
+
MARKET DYNAMICS:
|
| 137 |
+
• Demand Factors
|
| 138 |
+
• Supply Chain
|
| 139 |
+
• Pricing Trends
|
| 140 |
+
|
| 141 |
+
COMPETITIVE LANDSCAPE:
|
| 142 |
+
• Market Share
|
| 143 |
+
• Competitor Analysis
|
| 144 |
+
• Entry Barriers
|
| 145 |
+
|
| 146 |
+
FUTURE OUTLOOK:
|
| 147 |
+
• Growth Opportunities
|
| 148 |
+
• Risk Factors
|
| 149 |
+
• Technology Impact
|
| 150 |
+
|
| 151 |
+
Use factual information where available, mark inferences with (Inferred).
|
| 152 |
+
Format each point as a clear, actionable item.
|
| 153 |
+
"""
|
| 154 |
+
|
| 155 |
+
response = model.generate_content(prompt)
|
| 156 |
+
analysis = response.text
|
| 157 |
+
|
| 158 |
+
# Save Gemini output to a text file
|
| 159 |
+
output_file_path = os.path.join(output_folder, 'compitoone.txt')
|
| 160 |
+
with open(output_file_path, 'w') as output_file:
|
| 161 |
+
output_file.write(analysis)
|
| 162 |
+
logging.info(f"Gemini output saved to {output_file_path}")
|
| 163 |
+
|
| 164 |
+
# Extract sections
|
| 165 |
+
result["market_overview"] = extract_section(analysis, "MARKET OVERVIEW")
|
| 166 |
+
result["market_dynamics"] = extract_section(analysis, "MARKET DYNAMICS")
|
| 167 |
+
result["competitive_landscape"] = extract_section(analysis, "COMPETITIVE LANDSCAPE")
|
| 168 |
+
result["future_outlook"] = extract_section(analysis, "FUTURE OUTLOOK")
|
| 169 |
+
|
| 170 |
+
# Add sources
|
| 171 |
+
result["sources"] = [{
|
| 172 |
+
'url': item['url'],
|
| 173 |
+
'domain': item['domain'],
|
| 174 |
+
'section': item['section'],
|
| 175 |
+
'date': item['date']
|
| 176 |
+
} for item in scraped_content]
|
| 177 |
+
|
| 178 |
+
return result
|
| 179 |
+
|
| 180 |
+
except Exception as e:
|
| 181 |
+
logging.error(f"Error generating analysis: {str(e)}")
|
| 182 |
+
return generate_fallback_response(business_query)
|
| 183 |
+
|
| 184 |
+
return generate_fallback_response(business_query)
|
| 185 |
+
|
| 186 |
+
def extract_section(text, section_name):
|
| 187 |
+
"""Extract content from a specific section"""
|
| 188 |
+
try:
|
| 189 |
+
lines = []
|
| 190 |
+
in_section = False
|
| 191 |
+
|
| 192 |
+
for line in text.split('\n'):
|
| 193 |
+
if section_name + ":" in line:
|
| 194 |
+
in_section = True
|
| 195 |
+
continue
|
| 196 |
+
elif any(s + ":" in line for s in ["MARKET OVERVIEW", "MARKET DYNAMICS", "COMPETITIVE LANDSCAPE", "FUTURE OUTLOOK"]):
|
| 197 |
+
in_section = False
|
| 198 |
+
elif in_section and line.strip():
|
| 199 |
+
cleaned_line = line.strip('- *').strip()
|
| 200 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 201 |
+
lines.append(cleaned_line)
|
| 202 |
+
|
| 203 |
+
return lines
|
| 204 |
+
except Exception as e:
|
| 205 |
+
logging.error(f"Error extracting section {section_name}: {str(e)}")
|
| 206 |
+
return []
|
| 207 |
+
|
| 208 |
+
def generate_fallback_response(business_query):
|
| 209 |
+
"""Generate basic market assessment when no data is found"""
|
| 210 |
+
return {
|
| 211 |
+
"market_overview": [
|
| 212 |
+
f"Market size estimation for {business_query} pending (Inferred)",
|
| 213 |
+
"Growth rate analysis in progress (Inferred)",
|
| 214 |
+
"Key player identification ongoing (Inferred)"
|
| 215 |
+
],
|
| 216 |
+
"market_dynamics": [
|
| 217 |
+
"Demand factor analysis needed (Inferred)",
|
| 218 |
+
"Supply chain assessment pending (Inferred)",
|
| 219 |
+
"Pricing trend evaluation required (Inferred)"
|
| 220 |
+
],
|
| 221 |
+
"competitive_landscape": [
|
| 222 |
+
"Market share analysis in progress (Inferred)",
|
| 223 |
+
"Competitor assessment ongoing (Inferred)",
|
| 224 |
+
"Entry barrier evaluation needed (Inferred)"
|
| 225 |
+
],
|
| 226 |
+
"future_outlook": [
|
| 227 |
+
"Growth opportunity identification pending (Inferred)",
|
| 228 |
+
"Risk factor assessment needed (Inferred)",
|
| 229 |
+
"Technology impact analysis required (Inferred)"
|
| 230 |
+
],
|
| 231 |
+
"sources": []
|
| 232 |
+
}
|
market_trends_api.py
ADDED
|
@@ -0,0 +1,344 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
import logging
|
| 2 |
+
from datetime import datetime
|
| 3 |
+
from firecrawl import FirecrawlApp
|
| 4 |
+
import os
|
| 5 |
+
import time
|
| 6 |
+
import google.generativeai as genai
|
| 7 |
+
import uuid # Import uuid for unique file naming
|
| 8 |
+
import requests # Import requests for making API calls
|
| 9 |
+
|
| 10 |
+
# Initialize logging
|
| 11 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 12 |
+
|
| 13 |
+
# Initialize Firecrawl
|
| 14 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 15 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 16 |
+
logging.info("Firecrawl initialized")
|
| 17 |
+
|
| 18 |
+
# Initialize Gemini
|
| 19 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 20 |
+
if GOOGLE_API_KEY:
|
| 21 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 22 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 23 |
+
logging.info("Gemini initialized")
|
| 24 |
+
else:
|
| 25 |
+
logging.warning("No Gemini API key found")
|
| 26 |
+
|
| 27 |
+
def get_trends_data(query):
|
| 28 |
+
"""
|
| 29 |
+
Get market trends data using custom search API and Firecrawl with improved scraping
|
| 30 |
+
"""
|
| 31 |
+
logging.info(f"\n{'='*50}\nGathering trends data for: {query}\n{'='*50}")
|
| 32 |
+
|
| 33 |
+
# Define search queries
|
| 34 |
+
search_queries = [
|
| 35 |
+
f"{query} market size revenue statistics",
|
| 36 |
+
f"{query} industry market share data",
|
| 37 |
+
f"{query} market growth forecast CAGR",
|
| 38 |
+
f"{query} competitive analysis market leaders",
|
| 39 |
+
f"{query} industry trends analysis report"
|
| 40 |
+
]
|
| 41 |
+
|
| 42 |
+
scraped_content = []
|
| 43 |
+
|
| 44 |
+
for search_query in search_queries:
|
| 45 |
+
try:
|
| 46 |
+
logging.info(f"\nSearching for: {search_query}")
|
| 47 |
+
# Custom Search API request
|
| 48 |
+
api_key = "AIzaSyAxeLlJ6vZxOl-TblUJg_dInBS3vNxaFVY"
|
| 49 |
+
search_engine_id = "37793b12975da4e35"
|
| 50 |
+
url = f"https://www.googleapis.com/customsearch/v1?q={search_query}&key={api_key}&cx={search_engine_id}&num=3"
|
| 51 |
+
response = requests.get(url)
|
| 52 |
+
response_data = response.json()
|
| 53 |
+
urls = [item['link'] for item in response_data.get('items', [])]
|
| 54 |
+
|
| 55 |
+
if not urls:
|
| 56 |
+
logging.warning(f"No URLs found for query: {search_query}")
|
| 57 |
+
continue
|
| 58 |
+
|
| 59 |
+
for url in urls:
|
| 60 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 61 |
+
attempt = 0
|
| 62 |
+
while attempt < 5: # Retry up to 5 times
|
| 63 |
+
try:
|
| 64 |
+
logging.info(f"Scraping: {url}")
|
| 65 |
+
response = firecrawl_app.scrape_url(
|
| 66 |
+
url=url,
|
| 67 |
+
params={'formats': ['markdown']},
|
| 68 |
+
)
|
| 69 |
+
|
| 70 |
+
if response and 'markdown' in response:
|
| 71 |
+
content = response['markdown']
|
| 72 |
+
if len(content) > 200:
|
| 73 |
+
logging.info("Successfully scraped content")
|
| 74 |
+
scraped_content.append({
|
| 75 |
+
'url': url,
|
| 76 |
+
'domain': extract_domain(url),
|
| 77 |
+
'section': 'Market Trends',
|
| 78 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 79 |
+
'content': content[:2000], # Limit content size
|
| 80 |
+
})
|
| 81 |
+
break
|
| 82 |
+
break # Exit retry loop if successful
|
| 83 |
+
except Exception as e:
|
| 84 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 85 |
+
attempt += 1
|
| 86 |
+
time.sleep(2 ** attempt) # Exponential backoff
|
| 87 |
+
else:
|
| 88 |
+
logging.warning(f"Failed to scrape {url} after multiple attempts.")
|
| 89 |
+
|
| 90 |
+
time.sleep(2)
|
| 91 |
+
|
| 92 |
+
except Exception as e:
|
| 93 |
+
logging.error(f"Error in search: {str(e)}")
|
| 94 |
+
continue
|
| 95 |
+
|
| 96 |
+
if not scraped_content:
|
| 97 |
+
logging.warning("No content was scraped, returning fallback response")
|
| 98 |
+
return generate_fallback_response(query)
|
| 99 |
+
|
| 100 |
+
# Generate analysis using enhanced prompt
|
| 101 |
+
if scraped_content:
|
| 102 |
+
try:
|
| 103 |
+
analysis_prompt = f"""
|
| 104 |
+
Analyze this market data about {query} and provide a detailed trends analysis.
|
| 105 |
+
|
| 106 |
+
Raw Data:
|
| 107 |
+
{[item['content'] for item in scraped_content]}
|
| 108 |
+
|
| 109 |
+
Create a comprehensive market trends report with these exact sections:
|
| 110 |
+
|
| 111 |
+
1. MARKET SIZE & GROWTH
|
| 112 |
+
• Total Market Value
|
| 113 |
+
• Market Segments
|
| 114 |
+
• Regional Distribution
|
| 115 |
+
|
| 116 |
+
2. COMPETITIVE LANDSCAPE
|
| 117 |
+
• Market Leaders
|
| 118 |
+
• Market Differentiators
|
| 119 |
+
• Industry Dynamics
|
| 120 |
+
|
| 121 |
+
3. INDUSTRY TRENDS
|
| 122 |
+
• Current Trends
|
| 123 |
+
• Technology Impact
|
| 124 |
+
• Regulatory Environment
|
| 125 |
+
|
| 126 |
+
4. GROWTH FORECAST
|
| 127 |
+
• Short-Term Outlook
|
| 128 |
+
• Long-Term Potential
|
| 129 |
+
• Growth Drivers
|
| 130 |
+
|
| 131 |
+
5. RISK ASSESSMENT
|
| 132 |
+
• Market Challenges
|
| 133 |
+
• Economic Factors
|
| 134 |
+
• Competitive Threats
|
| 135 |
+
|
| 136 |
+
Format each point with specific data where available.
|
| 137 |
+
Mark estimates or inferences with (Inferred).
|
| 138 |
+
Include numerical data and percentages where possible.
|
| 139 |
+
"""
|
| 140 |
+
|
| 141 |
+
response = model.generate_content(analysis_prompt)
|
| 142 |
+
analysis = response.text
|
| 143 |
+
|
| 144 |
+
# Create directory for storing Gemini output
|
| 145 |
+
output_dir = 'gemini_outputs'
|
| 146 |
+
os.makedirs(output_dir, exist_ok=True)
|
| 147 |
+
|
| 148 |
+
# Save Gemini output to a specific txt file
|
| 149 |
+
output_filename = os.path.join(output_dir, 'markettrand.txt')
|
| 150 |
+
with open(output_filename, 'w') as file:
|
| 151 |
+
file.write(analysis)
|
| 152 |
+
logging.info(f"Gemini output saved to {output_filename}")
|
| 153 |
+
|
| 154 |
+
# Process and structure the analysis
|
| 155 |
+
result = process_analysis(analysis, scraped_content)
|
| 156 |
+
|
| 157 |
+
# Add sources
|
| 158 |
+
result["sources"] = [{
|
| 159 |
+
'url': item['url'],
|
| 160 |
+
'domain': item['domain'],
|
| 161 |
+
'section': item['section'],
|
| 162 |
+
'date': item['date']
|
| 163 |
+
} for item in scraped_content]
|
| 164 |
+
|
| 165 |
+
return result
|
| 166 |
+
|
| 167 |
+
except Exception as e:
|
| 168 |
+
logging.error(f"Error in analysis: {str(e)}")
|
| 169 |
+
return generate_fallback_response(query)
|
| 170 |
+
|
| 171 |
+
return generate_fallback_response(query)
|
| 172 |
+
|
| 173 |
+
def extract_domain(url):
|
| 174 |
+
"""Extract domain name from URL"""
|
| 175 |
+
try:
|
| 176 |
+
from urllib.parse import urlparse
|
| 177 |
+
domain = urlparse(url).netloc
|
| 178 |
+
return domain.replace('www.', '')
|
| 179 |
+
except:
|
| 180 |
+
return url
|
| 181 |
+
|
| 182 |
+
def generate_fallback_response(query):
|
| 183 |
+
"""Generate basic trends analysis when no data is found"""
|
| 184 |
+
return {
|
| 185 |
+
"market_size_growth": {
|
| 186 |
+
"total_market_value": [f"Market size for {query} pending analysis (Inferred)"],
|
| 187 |
+
"market_segments": ["Segment analysis in progress (Inferred)"],
|
| 188 |
+
"regional_distribution": ["Regional data being collected (Inferred)"]
|
| 189 |
+
},
|
| 190 |
+
"competitive_analysis": {
|
| 191 |
+
"market_leaders": ["Leader analysis pending (Inferred)"],
|
| 192 |
+
"competitive_advantages": ["Advantage assessment in progress (Inferred)"],
|
| 193 |
+
"market_concentration": ["Concentration analysis pending (Inferred)"]
|
| 194 |
+
},
|
| 195 |
+
"industry_trends": {
|
| 196 |
+
"current_trends": ["Trend analysis in progress (Inferred)"],
|
| 197 |
+
"technology_impact": ["Tech impact being evaluated (Inferred)"],
|
| 198 |
+
"regulatory_environment": ["Regulatory review pending (Inferred)"]
|
| 199 |
+
},
|
| 200 |
+
"growth_forecast": {
|
| 201 |
+
"short_term": ["Short-term projections pending (Inferred)"],
|
| 202 |
+
"long_term": ["Long-term analysis in progress (Inferred)"],
|
| 203 |
+
"growth_drivers": ["Driver analysis pending (Inferred)"]
|
| 204 |
+
},
|
| 205 |
+
"risk_assessment": {
|
| 206 |
+
"market_challenges": ["Challenge assessment pending (Inferred)"],
|
| 207 |
+
"economic_factors": ["Economic analysis in progress (Inferred)"],
|
| 208 |
+
"competitive_threats": ["Threat analysis pending (Inferred)"]
|
| 209 |
+
},
|
| 210 |
+
"sources": []
|
| 211 |
+
}
|
| 212 |
+
|
| 213 |
+
def process_analysis(analysis, scraped_content):
|
| 214 |
+
"""Process and structure the analysis for frontend consumption"""
|
| 215 |
+
result = {
|
| 216 |
+
"market_size_growth": {
|
| 217 |
+
"total_market_value": [],
|
| 218 |
+
"market_segments": [],
|
| 219 |
+
"regional_distribution": []
|
| 220 |
+
},
|
| 221 |
+
"competitive_landscape": {
|
| 222 |
+
"market_leaders": [],
|
| 223 |
+
"market_differentiators": [],
|
| 224 |
+
"industry_dynamics": []
|
| 225 |
+
},
|
| 226 |
+
"industry_trends": {
|
| 227 |
+
"current_trends": [],
|
| 228 |
+
"technology_impact": [],
|
| 229 |
+
"regulatory_environment": []
|
| 230 |
+
},
|
| 231 |
+
"growth_forecast": {
|
| 232 |
+
"short_term": [],
|
| 233 |
+
"long_term": [],
|
| 234 |
+
"growth_drivers": []
|
| 235 |
+
},
|
| 236 |
+
"risk_assessment": {
|
| 237 |
+
"market_challenges": [],
|
| 238 |
+
"economic_factors": [],
|
| 239 |
+
"competitive_threats": []
|
| 240 |
+
},
|
| 241 |
+
"metrics": extract_metrics(scraped_content),
|
| 242 |
+
"sources": []
|
| 243 |
+
}
|
| 244 |
+
|
| 245 |
+
# Extract sections
|
| 246 |
+
result["market_size_growth"]["total_market_value"] = extract_bullet_points(analysis, "Total Market Value")
|
| 247 |
+
result["market_size_growth"]["market_segments"] = extract_bullet_points(analysis, "Market Segments")
|
| 248 |
+
result["market_size_growth"]["regional_distribution"] = extract_bullet_points(analysis, "Regional Distribution")
|
| 249 |
+
|
| 250 |
+
result["competitive_landscape"]["market_leaders"] = extract_bullet_points(analysis, "Top Market Players")
|
| 251 |
+
result["competitive_landscape"]["market_differentiators"] = extract_bullet_points(analysis, "Market Differentiators")
|
| 252 |
+
result["competitive_landscape"]["industry_dynamics"] = extract_bullet_points(analysis, "Industry Dynamics")
|
| 253 |
+
|
| 254 |
+
result["industry_trends"]["current_trends"] = extract_bullet_points(analysis, "Current Trends")
|
| 255 |
+
result["industry_trends"]["technology_impact"] = extract_bullet_points(analysis, "Technology Impact")
|
| 256 |
+
result["industry_trends"]["regulatory_environment"] = extract_bullet_points(analysis, "Regulatory Environment")
|
| 257 |
+
|
| 258 |
+
result["growth_forecast"]["short_term"] = extract_bullet_points(analysis, "Short-Term")
|
| 259 |
+
result["growth_forecast"]["long_term"] = extract_bullet_points(analysis, "Long-Term")
|
| 260 |
+
result["growth_forecast"]["growth_drivers"] = extract_bullet_points(analysis, "Growth Drivers")
|
| 261 |
+
|
| 262 |
+
result["risk_assessment"]["market_challenges"] = extract_bullet_points(analysis, "Market Challenges")
|
| 263 |
+
result["risk_assessment"]["economic_factors"] = extract_bullet_points(analysis, "Economic Factors")
|
| 264 |
+
result["risk_assessment"]["competitive_threats"] = extract_bullet_points(analysis, "Competitive Threats")
|
| 265 |
+
|
| 266 |
+
# Add sources
|
| 267 |
+
result["sources"] = [{
|
| 268 |
+
'url': item['url'],
|
| 269 |
+
'domain': item['domain'],
|
| 270 |
+
'section': item['section'],
|
| 271 |
+
'date': item['date']
|
| 272 |
+
} for item in scraped_content]
|
| 273 |
+
|
| 274 |
+
return result
|
| 275 |
+
|
| 276 |
+
def extract_metrics(scraped_content):
|
| 277 |
+
"""Extract and structure metrics from scraped content"""
|
| 278 |
+
metrics = {
|
| 279 |
+
"market_share": {},
|
| 280 |
+
"growth_rates": {},
|
| 281 |
+
"revenue": {}
|
| 282 |
+
}
|
| 283 |
+
|
| 284 |
+
for item in scraped_content:
|
| 285 |
+
if 'metrics' in item:
|
| 286 |
+
# Process market share
|
| 287 |
+
for i, share in enumerate(item['metrics'].get('market_share', [])):
|
| 288 |
+
try:
|
| 289 |
+
value = float(share)
|
| 290 |
+
metrics['market_share'][f'Company {i+1}'] = value
|
| 291 |
+
except ValueError:
|
| 292 |
+
continue
|
| 293 |
+
|
| 294 |
+
# Process growth rates
|
| 295 |
+
for i, rate in enumerate(item['metrics'].get('growth_rates', [])):
|
| 296 |
+
try:
|
| 297 |
+
value = float(rate)
|
| 298 |
+
metrics['growth_rates'][f'Period {i+1}'] = value
|
| 299 |
+
except ValueError:
|
| 300 |
+
continue
|
| 301 |
+
|
| 302 |
+
# Process revenue figures
|
| 303 |
+
for i, amount in enumerate(item['metrics'].get('money', [])):
|
| 304 |
+
try:
|
| 305 |
+
value = float(amount)
|
| 306 |
+
metrics['revenue'][f'Entity {i+1}'] = value
|
| 307 |
+
except ValueError:
|
| 308 |
+
continue
|
| 309 |
+
|
| 310 |
+
return metrics
|
| 311 |
+
|
| 312 |
+
def extract_bullet_points(text, section_name):
|
| 313 |
+
"""Extract bullet points from a section"""
|
| 314 |
+
points = []
|
| 315 |
+
in_section = False
|
| 316 |
+
|
| 317 |
+
for line in text.split('\n'):
|
| 318 |
+
line = line.strip()
|
| 319 |
+
|
| 320 |
+
# Check for section start
|
| 321 |
+
if section_name in line:
|
| 322 |
+
in_section = True
|
| 323 |
+
continue
|
| 324 |
+
|
| 325 |
+
# Check for section end
|
| 326 |
+
if in_section:
|
| 327 |
+
# Check if we've hit another section
|
| 328 |
+
if any(s + ":" in line for s in ["Total Market Value", "Market Segments", "Regional Distribution", "Top Market Players", "Market Differentiators", "Industry Dynamics", "Current Trends", "Technology Impact", "Regulatory Environment", "Short-Term", "Long-Term", "Growth Drivers", "Market Challenges", "Economic Factors", "Competitive Threats"]):
|
| 329 |
+
in_section = False
|
| 330 |
+
continue
|
| 331 |
+
|
| 332 |
+
# Extract bullet points
|
| 333 |
+
if line.startswith(('•', '-', '*', '○', '›', '»', '⁃')):
|
| 334 |
+
cleaned_line = line.lstrip('•-*○›»⁃ ').strip()
|
| 335 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 336 |
+
points.append(cleaned_line)
|
| 337 |
+
|
| 338 |
+
# Extract numbered points
|
| 339 |
+
elif line.startswith(('1.', '2.', '3.', '4.', '5.')):
|
| 340 |
+
cleaned_line = ' '.join(line.split()[1:])
|
| 341 |
+
if cleaned_line:
|
| 342 |
+
points.append(cleaned_line)
|
| 343 |
+
|
| 344 |
+
return points
|
mexem.com_gap_analysis.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
quora.com_feedback.txt
ADDED
|
@@ -0,0 +1,548 @@
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|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Something went wrong. Wait a moment and try again.
|
| 2 |
+
|
| 3 |
+
Try again
|
| 4 |
+
|
| 5 |
+
Skip to content
|
| 6 |
+
|
| 7 |
+
Skip to search
|
| 8 |
+
|
| 9 |
+
[Go to Quora Home](https://www.quora.com/)
|
| 10 |
+
|
| 11 |
+
Sign In
|
| 12 |
+
|
| 13 |
+
What was your experience with Amazon India customer service?
|
| 14 |
+
|
| 15 |
+
6 Answers
|
| 16 |
+
|
| 17 |
+
Sort
|
| 18 |
+
|
| 19 |
+
Recommended
|
| 20 |
+
|
| 21 |
+
Answer Highlights
|
| 22 |
+
|
| 23 |
+
The answers reveal mixed experiences with Amazon India's customer service, ranging from very positive to highly disappointing. While some users praise the service as excellent and responsive, others report serious issues with order fulfillment and delivery.
|
| 24 |
+
|
| 25 |
+
•
|
| 26 |
+
|
| 27 |
+
"Amazon India service is becoming bad to worse ... Huge disappointment and I decided not to place order with Amazon anymore." (more)
|
| 28 |
+
|
| 29 |
+
Related questions
|
| 30 |
+
|
| 31 |
+
More answers below
|
| 32 |
+
|
| 33 |
+
[How can I speak directly to the Amazon India's customer service department?](https://www.quora.com/How-can-I-speak-directly-to-the-Amazon-Indias-customer-service-department)
|
| 34 |
+
|
| 35 |
+
[What's the best Amazon customer service number that will get me to a real person?](https://www.quora.com/Whats-the-best-Amazon-customer-service-number-that-will-get-me-to-a-real-person)
|
| 36 |
+
|
| 37 |
+
[What is Amazon India’s customer care?](https://www.quora.com/unanswered/What-is-Amazon-India-s-customer-care)
|
| 38 |
+
|
| 39 |
+
[What is the number for Amazon's customer service?](https://www.quora.com/What-is-the-number-for-Amazons-customer-service)
|
| 40 |
+
|
| 41 |
+
[How customer friendly is Amazon India's customer service?](https://www.quora.com/How-customer-friendly-is-Amazon-Indias-customer-service)
|
| 42 |
+
|
| 43 |
+
[](https://www.quora.com/profile/Gemini-SP)
|
| 44 |
+
|
| 45 |
+
[Gemini SP](https://www.quora.com/profile/Gemini-SP)
|
| 46 |
+
|
| 47 |
+
Lives in Coimbatore Kovaipudur (2005–present)
|
| 48 |
+
|
| 49 |
+
· [11mo](https://www.quora.com/What-was-your-experience-with-Amazon-India-customer-service/answer/Gemini-SP)
|
| 50 |
+
|
| 51 |
+
Amazon India service is becoming bad to worse, my three last orders they took and I paid for the product in advance and they scheduled a delivery date but on the day of delivery they sent me a message that the product was not accepted by the recipient which is myself 🥹 I don’t understand if they think that I am playing with them by placing a order online and paying for it and then not accepting the product. What a stupid explanation of theirs to make.
|
| 52 |
+
|
| 53 |
+
I spoke with the customer service team after the second order not delivered and they said that they have made a note that the courier company wi
|
| 54 |
+
|
| 55 |
+
Continue Reading
|
| 56 |
+
|
| 57 |
+
Amazon India service is becoming bad to worse, my three last orders they took and I paid for the product in advance and they scheduled a delivery date but on the day of delivery they sent me a message that the product was not accepted by the recipient which is myself 🥹 I don’t understand if they think that I am playing with them by placing a order online and paying for it and then not accepting the product. What a stupid explanation of theirs to make.
|
| 58 |
+
|
| 59 |
+
I spoke with the customer service team after the second order not delivered and they said that they have made a note that the courier company will be changed to ensure proper delivery but nothing happened and again they failed to deliver.
|
| 60 |
+
|
| 61 |
+
Huge disappointment and I decided not to place order with Amazon anymore.
|
| 62 |
+
|
| 63 |
+
Upvote ·
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96
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92
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Promoted by Savings Pro
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[](https://www.quora.com/profile/Anthony-Bradley-255)
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[Anthony Bradley](https://www.quora.com/profile/Anthony-Bradley-255)
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Economist
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· [Updated Sun](https://www.quora.com/What-are-the-stupidest-money-mistakes-most-people-make/answer/Anthony-Bradley-255)
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| 77 |
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What are the stupidest money mistakes most people make?
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| 79 |
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| 80 |
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Where do I start?
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I’m a huge financial nerd, and have spent an embarrassing amount of time talking to people about their money habits.
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| 83 |
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| 84 |
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Here are the biggest mistakes people are making and how to fix them:
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| 85 |
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| 86 |
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Not having a separate high interest savings account
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Having a separate account allows you to see the results of all your hard work and keep your money separate so you're less tempted to spend it.
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Plus with rates above 5.00%, the interest you can earn compared to most banks really adds up.
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[Here is a list of the top savings accounts available today.](https://savingspro.org/savings-rates/?sub-id=Q_Sav_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "savingspro.org") Deposit $5 before moving on because this is one of th
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| 93 |
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Continue Reading
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| 95 |
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| 96 |
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Where do I start?
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| 97 |
+
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| 98 |
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I’m a huge financial nerd, and have spent an embarrassing amount of time talking to people about their money habits.
|
| 99 |
+
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| 100 |
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Here are the biggest mistakes people are making and how to fix them:
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| 101 |
+
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| 102 |
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Not having a separate high interest savings account
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| 103 |
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Having a separate account allows you to see the results of all your hard work and keep your money separate so you're less tempted to spend it.
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Plus with rates above 5.00%, the interest you can earn compared to most banks really adds up.
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[Here is a list of the top savings accounts available today.](https://savingspro.org/savings-rates/?sub-id=Q_Sav_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "savingspro.org") Deposit $5 before moving on because this is one of the biggest mistakes and easiest ones to fix.
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Overpaying on car insurance
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You’ve heard it a million times before, but the average American family still overspends by $417/year on car insurance.
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If you’ve been with the same insurer for years, chances are you are one of them.
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Pull up [Coverage.com](https://www.myfinance.com/reporting/32350533/?mf_utm_campaign=savingspro2-auto-insurance-flow-link&s1=Q_Mult_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "www.myfinance.com"), a free site that will compare prices for you, answer the questions on the page, and it will show you how much you could be saving.
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That’s it. You’ll likely be saving a bunch of money. [Here’s a link to give it a try](https://www.myfinance.com/reporting/32350533/?mf_utm_campaign=savingspro2-auto-insurance-flow-link&s1=Q_Mult_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "www.myfinance.com").
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Consistently being in debt
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If you’ve got $10K+ in debt (credit cards…medical bills…anything really) you could use a [debt relief program](https://www.bankrate.com/landing/savingspro/best-debt-relief-options/?sub-id=Q_Multi_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "www.bankrate.com") and potentially reduce by over 20%.
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Here’s how to see if you qualify:
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Head over to this Debt Relief comparison website [here](https://www.bankrate.com/landing/savingspro/best-debt-relief-options/?sub-id=Q_Multi_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "www.bankrate.com"), then simply answer the questions to see if you qualify.
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It’s as simple as that. You’ll likely end up paying less than you owed before and you could be debt free in as little as 2 years.
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Missing out on free money to invest
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| 132 |
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It’s no secret that millionaires love investing, but for the rest of us, it can seem out of reach.
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| 133 |
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Times have changed. There are a number of [investing platforms](https://savingspro.org/the-best-ways-for-to-invest/?sub-id=Q_Multi_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "savingspro.org") that will give you a bonus to open an account and get started. All you have to do is open the account and invest at least $25, and you could get up to $1000 in bonus.
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Pretty sweet deal right? Here is a [link](https://savingspro.org/the-best-ways-for-to-invest/?sub-id=Q_Multi_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "savingspro.org") to some of the best options.
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| 137 |
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| 138 |
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Having bad credit
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| 139 |
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| 140 |
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A low credit score can come back to bite you in so many ways in the future.
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| 141 |
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| 142 |
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From that next rental application to getting approved for any type of loan or credit card, if you have a bad history with credit, the good news is you can fix it.
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| 143 |
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Head over to [BankRate.com](https://www.bankrate.com/landing/savingspro/credit-repair/?sub-id=Q_Multi_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "www.bankrate.com") and answer a few questions to see if you qualify. It only takes a few minutes and could save you from a major upset down the line.
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| 145 |
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| 146 |
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How to get started
|
| 147 |
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| 148 |
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Hope this helps! Here are the links to get started:
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| 149 |
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| 150 |
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[Have a separate savings account](https://savingspro.org/savings-rates/?sub-id=Q_Sav_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "savingspro.org")
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| 151 |
+
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| 152 |
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[Stop overpaying for car insurance](https://www.myfinance.com/reporting/32350533/?mf_utm_campaign=savingspro2-auto-insurance-flow-link&s1=Q_Mult_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "www.myfinance.com")
|
| 153 |
+
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| 154 |
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[Finally get out of debt](https://www.bankrate.com/landing/savingspro/best-debt-relief-options/?sub-id=Q_Multi_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "www.bankrate.com")
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| 155 |
+
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| 156 |
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[Start investing with a free bonus](https://savingspro.org/the-best-ways-for-to-invest/?sub-id=Q_Multi_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "savingspro.org")
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| 157 |
+
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| 158 |
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[Fix your credit](https://www.bankrate.com/landing/savingspro/credit-repair/?sub-id=Q_Multi_DT1&s2=%7BCLICK_ID%7D&qclid=1742769742032233243%7C211106241156263%7C0 "www.bankrate.com")
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| 159 |
+
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| 160 |
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Upvote ·
|
| 161 |
+
2.5K2.5K
|
| 162 |
+
|
| 163 |
+
999383
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| 164 |
+
|
| 165 |
+
999109
|
| 166 |
+
|
| 167 |
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[](https://www.quora.com/profile/Ganesh-Zambare)
|
| 168 |
+
|
| 169 |
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[Ganesh Zambare](https://www.quora.com/profile/Ganesh-Zambare)
|
| 170 |
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|
| 171 |
+
Full Stack Developer (2018–present)
|
| 172 |
+
|
| 173 |
+
· [Oct 29](https://www.quora.com/What-was-your-experience-with-Amazon-India-customer-service/answer/Ganesh-Zambare)
|
| 174 |
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|
| 175 |
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When I track delivery daily after 10 pm they are saying it will be delivered tomorrow.
|
| 176 |
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| 177 |
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Again I receive the same message since last 3-4 days.
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| 178 |
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| 179 |
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On chat they are saying sorry. No one gives the exact resolution.
|
| 180 |
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| 181 |
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On call they talk like politicians.
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| 182 |
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| 183 |
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Worst than worst. Total harassment. On the top they are asking for feedback.
|
| 184 |
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| 185 |
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Just received the following message.
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| 186 |
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|
| 187 |
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"We are very sorry your delivery is late. We apologize for the inconvenience.""
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| 188 |
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| 189 |
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:(
|
| 190 |
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| 191 |
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Upvote ·
|
| 192 |
+
|
| 193 |
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[](https://www.quora.com/profile/Venkateswara-Swamy-Swarna)
|
| 194 |
+
|
| 195 |
+
[Venkateswara Swamy Swarna](https://www.quora.com/profile/Venkateswara-Swamy-Swarna)
|
| 196 |
+
|
| 197 |
+
Online shopper for more than 10 years · Author has 37.7K answers and 47.5M answer views
|
| 198 |
+
|
| 199 |
+
· [5y](https://www.quora.com/What-was-your-experience-with-Amazon-India-customer-service/answer/Venkateswara-Swamy-Swarna?no_redirect=1)
|
| 200 |
+
|
| 201 |
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Very good to excellent….
|
| 202 |
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|
| 203 |
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Most of the time, they solve the issue immediately. A few times, a follow up email is needed. I use email and get the problem resolved in a few hours.
|
| 204 |
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| 205 |
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Your response is private
|
| 206 |
+
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| 207 |
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Was this worth your time?
|
| 208 |
+
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| 209 |
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This helps us sort answers on the page.
|
| 210 |
+
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| 211 |
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Absolutely not
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| 212 |
+
|
| 213 |
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Definitely yes
|
| 214 |
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| 215 |
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Upvote ·
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| 216 |
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93
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| 217 |
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| 218 |
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Related questions
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| 219 |
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|
| 220 |
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More answers below
|
| 221 |
+
|
| 222 |
+
[Why is Amazon customer support seriously the best in the world?](https://www.quora.com/Why-is-Amazon-customer-support-seriously-the-best-in-the-world)
|
| 223 |
+
|
| 224 |
+
[What it is like to work as a customer service associate at Amazon India?](https://www.quora.com/What-it-is-like-to-work-as-a-customer-service-associate-at-Amazon-India)
|
| 225 |
+
|
| 226 |
+
[How do you contact Amazon Prime customer service?](https://www.quora.com/How-do-you-contact-Amazon-Prime-customer-service)
|
| 227 |
+
|
| 228 |
+
[How is the customer service offered by Amazon?](https://www.quora.com/How-is-the-customer-service-offered-by-Amazon)
|
| 229 |
+
|
| 230 |
+
[How do I speak directly to Amazon India's customer service?](https://www.quora.com/unanswered/How-do-I-speak-directly-to-Amazon-Indias-customer-service)
|
| 231 |
+
|
| 232 |
+
[](https://www.quora.com/profile/Hdgsheheg)
|
| 233 |
+
|
| 234 |
+
[Hdgsheheg](https://www.quora.com/profile/Hdgsheheg)
|
| 235 |
+
|
| 236 |
+
[Jul 28](https://www.quora.com/What-was-your-experience-with-Amazon-India-customer-service/answer/Hdgsheheg)
|
| 237 |
+
|
| 238 |
+
I'm afraid I don't have any personal experience with Amazon India's customer service. 8101-339-658As an AI assistant created by Anthropic, I don't actually interact with companies or use their services. I only have access to information that has been provided to me as part of my training data, which does not include details about my own experiences. I'd be happy to try to provide some general information about Amazon India's customer service based on publicly available data, but I don't have any firsthand experiences to share….
|
| 239 |
+
|
| 240 |
+
Upvote ·
|
| 241 |
+
|
| 242 |
+
Promoted by Asana
|
| 243 |
+
|
| 244 |
+
[](https://www.quora.com/profile/Victoria-J-Chin)
|
| 245 |
+
|
| 246 |
+
[Victoria J. Chin](https://www.quora.com/profile/Victoria-J-Chin)
|
| 247 |
+
|
| 248 |
+
Former Head of Product Marketing, Growth & Scale at Asana (company) (2020–2023)
|
| 249 |
+
|
| 250 |
+
· [Updated Nov 21](https://www.quora.com/What-is-the-best-project-management-tool/answer/Victoria-J-Chin)
|
| 251 |
+
|
| 252 |
+
What is the best project management tool?
|
| 253 |
+
|
| 254 |
+
I might be a little biased, but as an Asana employee, I believe Asana is the best project management tool. With Asana, my entire team has a central source of truth so they know exactly who’s doing what by when. We can track all of our tasks and stay aligned on our team goals. This has been especially important recently, since it’s enabled our team to manage shifting priorities and take any new challenges in stride.
|
| 255 |
+
|
| 256 |
+
Every team is different, so your team might not use Asana exactly like my team does. But every team can benefit from more clarity, coordination, and collaboration at work. Here are f
|
| 257 |
+
|
| 258 |
+
Continue Reading
|
| 259 |
+
|
| 260 |
+
I might be a little biased, but as an Asana employee, I believe Asana is the best project management tool. With Asana, my entire team has a central source of truth so they know exactly who’s doing what by when. We can track all of our tasks and stay aligned on our team goals. This has been especially important recently, since it’s enabled our team to manage shifting priorities and take any new challenges in stride.
|
| 261 |
+
|
| 262 |
+
Every team is different, so your team might not use Asana exactly like my team does. But every team can benefit from more clarity, coordination, and collaboration at work. Here are five reasons why Asana is the best project management tool for your team:
|
| 263 |
+
|
| 264 |
+
1\. Quickly get started and get organized
|
| 265 |
+
|
| 266 |
+
Spend your time doing skilled work—not getting set up. With Asana’s [CSV importer](https://asana.com/apps/csv-importer?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "asana.com"), you can import your current project data from whatever spreadsheet or system you have into Asana in minutes. Here’s a 1-minute video on how.
|
| 267 |
+
|
| 268 |
+
Or, if you don’t have a process you currently use, you can also use one of Asana’s 50+ pre-built [templates](https://asana.com/resources/project-plan-templates?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "asana.com") to jumpstart your work.
|
| 269 |
+
|
| 270 |
+
2\. Manage all of your work with flexible views
|
| 271 |
+
|
| 272 |
+
In order for your project management tool to be your team’s central source of truth, it has to work for everyone. Individual contributors need to be able to dive into details, managers need to easily gauge [team bandwidth](https://asana.com/product/workload?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "asana.com") and spot bottlenecks, and senior leaders need a [high-level view](https://asana.com/product/portfolios?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "asana.com") of how projects are progressing.
|
| 273 |
+
|
| 274 |
+
Every project in Asana has four views, so every member of your team can find what they need:
|
| 275 |
+
|
| 276 |
+
- List View: A linear grid view that provides at-a-glance insight into who’s doing what by when.
|
| 277 |
+
- Board View: A kanban board view so you can visualize each stage of work and manage [agile](https://asana.com/uses/agile-management?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "asana.com") teams.
|
| 278 |
+
- Calendar View: A customizable calendar where you can see all tasks in a project and set and adjust due dates.
|
| 279 |
+
- Timeline View: A Gantt-chart style view so you can see how work maps out over time, avoid overlap, and easily identify [dependencies](https://asana.com/product/timeline?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "asana.com").
|
| 280 |
+
|
| 281 |
+

|
| 282 |
+
|
| 283 |
+
3\. Track and report on progress
|
| 284 |
+
|
| 285 |
+
The average employee uses [10 different tools per day](https://asana.com/resources/anatomy-of-work?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "asana.com"). The app switching is not only exhausting, but it also means information is scattered and difficult to find. Your team shouldn’t have to dig through 10 tools in order to find the information or context they need in order to be successful.
|
| 286 |
+
|
| 287 |
+
With Asana, you have easy access to all the tracking and reporting features you need:
|
| 288 |
+
|
| 289 |
+
- [Status updates](https://blog.asana.com/2020/05/introducing-status-for-remote-work/?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "blog.asana.com"): Keep everyone informed on the progress of your work—without scheduling recurring follow-up meetings or digging through multiple tools for updates and information.
|
| 290 |
+
- [Advanced Search](https://asana.com/guide/videos/search-views-chapter?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "asana.com"): Asana Advanced Search takes the parameters you remember and narrows the scope of your search results, so you can easily find exactly what you’re looking for.
|
| 291 |
+
- Reporting: Save an Advanced Search as a report. The report will automatically refresh to provide the most up-to-date information every time you click into it.
|
| 292 |
+
|
| 293 |
+
4\. Communicate where you work
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| 294 |
+
|
| 295 |
+
Most teams have two totally different types of tools: content tools—like documents, spreadsheets, and team-specific software—and collaboration tools—like email, Slack, Microsoft Teams, and Zoom. But there’s a third must-have type of tool: coordination tools. Coordination tools like project management software connect all of your work. With a coordination tool like Asana, you have all of the context, feedback, and information you need—right where you’re working.
|
| 296 |
+
|
| 297 |
+
When everyone is using Asana, all of your work is centralized in one place. That means you can get easy access to all tasks and projects for a full understanding of what’s going on. Instead of digging through an email chain, you can easily search, sort, and find the task you need. Share files, leave a comment, or send an update, all where work is being done.
|
| 298 |
+
|
| 299 |
+
5\. Automate the work you hate
|
| 300 |
+
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Today, [82% of workers report feeling burned out](https://blog.asana.com/2019/07/workload-effort/?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "blog.asana.com"), largely because of the busywork associated with checking in on progress, adjusting due dates, and assigning tasks. There’s no reason those tasks should be done manually.
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Asana Rules help you automate the manual processes that get between you and your daily, high-impact work. Instead of worrying about the details, Rules can automatically assign work to the correct teammate, send stakeholders important notifications, shift due dates, and hand off work at the right time. That way, you have more time for strategic work.
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Try Asana for free
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There’s a sixth must-have feature to look for in a project management tool: your team should be able to try it for yourselves. Start your [free trial](https://asana.com/pricing?utm_source=quora&utm_medium=pd_cpc&utm_campaign=Conversion%20%7C%20NAMER%20%7C%20Prospecting%20%7C%20Promoted%20Answer%20%7C%20US&utm_content=Promoted_answer_best%20PM%20tool&utm_term=US%7CBehavioral-Interest%7CDesktop&qclid=1742769742032233243%7C211106240966738%7C0 "asana.com") to see how Asana helps teams organize and manage their projects, improve collaboration, work more efficiently, and hit their goals.
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Upvote ·
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8.5K8.5K
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999881
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999285
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[](https://www.quora.com/profile/Gopal-Pai-3)
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[Gopal Pai](https://www.quora.com/profile/Gopal-Pai-3)
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Former Additional Vice President at TTL · Author has 227 answers and 218.3K answer views
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· [5y](https://www.quora.com/What-was-your-experience-with-Amazon-India-customer-service/answer/Gopal-Pai-3?no_redirect=1)
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Amazing every time —though they, recently, have increased their time frame commitment for delivery, which is a slight damper !!
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Upvote ·
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[](https://www.quora.com/profile/Habib-Siddiqui-7)
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[Habib Siddiqui](https://www.quora.com/profile/Habib-Siddiqui-7)
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Founder at TrickyAdmin (2016–present)
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· [4y](https://www.quora.com/What-do-you-think-of-Amazon-India-s-customer-service/answer/Habib-Siddiqui-7)
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What do you think of Amazon India’s customer service?
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Originally Answered: [What do you think of Amazon India’s customer service?](https://www.quora.com/What-do-you-think-of-Amazon-India-s-customer-service?no_redirect=1) ·
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I think they have the best customer service executives in India, they are very polite, and gives positive response to our queries.
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You may encounter a bad experience but that would be a rare case.
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Upvote ·
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91
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Promoted by The Penny Hoarder
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[](https://www.quora.com/profile/Lisa-Dawson-202)
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[Lisa Dawson](https://www.quora.com/profile/Lisa-Dawson-202)
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Finance Writer at The Penny Hoarder
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· [Updated Nov 22](https://www.quora.com/What-are-the-worst-things-people-overspend-on-in-the-U-S/answer/Lisa-Dawson-202)
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What are the worst things people overspend on in the U.S.?
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You’ve done what you can to cut back your spending.
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You brew coffee at home, you don’t walk into Target and you refuse to order avocado toast. (Can you sense my millennial sarcasm there?)
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But no matter how cognizant you are of your spending habits, you’re still stuck with those inescapable monthly bills. You know which ones we’re talking about: rent, utilities, cell phone bill, insurance, groceries…
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So if you’re ready to stop paying them, follow these moves…
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1\. Overpriced Insurance: Cancel Your Car Insurance
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You might not even realize it, but your car insurance company is probably overcharging you.
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Continue Reading
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You’ve done what you can to cut back your spending.
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You brew coffee at home, you don’t walk into Target and you refuse to order avocado toast. (Can you sense my millennial sarcasm there?)
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| 377 |
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But no matter how cognizant you are of your spending habits, you’re still stuck with those inescapable monthly bills. You know which ones we’re talking about: rent, utilities, cell phone bill, insurance, groceries…
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So if you’re ready to stop paying them, follow these moves…
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1\. Overpriced Insurance: Cancel Your Car Insurance
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You might not even realize it, but your car insurance company is probably overcharging you. In fact, they’re kind of counting on you not noticing. Luckily, this problem is easy to fix.
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Don’t waste your time browsing insurance sites for a better deal. A company called [Insurify](https://t.thepennyhoarder.com/aff_ad?campaign_id=319&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") shows you all your options at once — people who do this save up to $996 per year.
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If you tell them a bit about yourself and your vehicle, they’ll send you personalized quotes so you can compare them and find the best one for you.
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Tired of overpaying for car insurance? It takes just five minutes to compare your options with Insurify and [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_ad?campaign_id=319&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [see how much you could save on car insurance.](https://t.thepennyhoarder.com/aff_ad?campaign_id=319&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com")
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2\. Online Shopping: If You Don’t Use This Free Tool, You’re Overpaying on Amazon
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Wouldn’t it be nice if you got an alert when you’re shopping online at Amazon and are about to overpay?
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That’s exactly what [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_ad?campaign_id=298&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [this free service](https://t.thepennyhoarder.com/aff_ad?campaign_id=298&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") does.
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Just add it to your browser for free, and before you check out, it’ll check other websites to see if your item is available for cheaper. Let’s say you’re shopping for a new smart vacuum, and you assume you’ve found the best price. Here’s when you’ll get a pop up letting you know if that exact vacuum is available elsewhere for cheaper. If there are any available coupon codes, they’ll also automatically be applied to your order.
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In the last year, this has saved people $800 million.
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You can get started in just a few clicks to [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_ad?campaign_id=298&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [see if you’re overpaying online](https://t.thepennyhoarder.com/aff_ad?campaign_id=298&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com").
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3\. Eating Out: Earn as Much as $1K/Month Doing Simple Online Tasks
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Is there such a thing as easy money? If you know your way around the web, there certainly is.
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That’s because data is currency these days, and many companies are willing to pay cash for it — up to $1,000 per month.
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Finding these companies can be time-consuming on your own. But a company called [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_ad?campaign_id=316&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [Freecash](https://t.thepennyhoarder.com/aff_ad?campaign_id=316&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") has compiled all sorts of quick cash tasks from about a dozen advertisers and market research companies thirsty for more data. Freecash has paid out over $13 million to users since 2019.
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You can pick and choose your tasks and complete them at your convenience. The coins you earn from each completed task can be converted into Visa gift cards, Amazon gift cards, cryptocurrency, or cold-hard PayPal cash.
|
| 413 |
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Signing up for a Freecash account is easy, and there’s no minimum amount you need to earn before you can cash out. And if you’ve got enough free time on your hands, you can join the ranks of Freecash users making more than $1,000 a month in extra cash.
|
| 415 |
+
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[Sign up here](https://t.thepennyhoarder.com/aff_ad?campaign_id=316&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") to see how much you could earn.
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| 417 |
+
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4\. Internet: Get One Month of Free Internet (and a Cheaper High-Speed Internet Bill After That)
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There are some bills you just can’t avoid. For most of us, that includes our internet bill. You can’t exactly go without it these days, and your provider knows that — that’s why so many of us are overpaying.
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But with [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_c?offer_id=7201&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [T-Mobile](https://t.thepennyhoarder.com/aff_c?offer_id=7201&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com"), you can get high-speed, 5G home internet for as little as $35 a month. They’ll even guarantee to lock in your price.
|
| 423 |
+
|
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You’re probably thinking there’s some catch, but they’ll let you try it out for 15 days to see if you like it. If not, you’ll get your money back. You don’t even have to worry about breaking up with your current provider — T-Mobile will pay up to $750 in termination fees.
|
| 425 |
+
|
| 426 |
+
Even better? When you switch now, you’ll get $150 back via prepaid MasterCard.
|
| 427 |
+
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Just [enter your address and phone number here](https://t.thepennyhoarder.com/aff_c?offer_id=7201&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") to see if you qualify. You could be paying as low as $40 a month for high-speed internet.
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| 429 |
+
|
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5\. Entertainment: Get Paid Up to $140/Month Just for Sharing Your Honest Opinion
|
| 431 |
+
|
| 432 |
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If you’re turning blue in the face waiting for a raise at work, it might be time to quit holding your breath and start speaking your mind to someone who wants to listen.
|
| 433 |
+
|
| 434 |
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Brands want to hear your opinion to help inform their business decisions on everything from products and services to logos and ads — and they’re willing to pay you up to $140 a month for it.
|
| 435 |
+
|
| 436 |
+
A free site called [Branded Surveys](https://t.thepennyhoarder.com/aff_c?offer_id=6653&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") will pay you up to $5 per survey for sharing your thoughts with their brand partners. Taking three quick surveys a day could earn up to $140 each month.
|
| 437 |
+
|
| 438 |
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It takes just a minute to create a free account and start getting paid to speak your mind. Most surveys take five to 15 minutes, and you can check how long they’ll take ahead of time.
|
| 439 |
+
|
| 440 |
+
And you don’t need to build up tons of money to cash out, either — once you earn $5, you can cash out via PayPal, your bank account, a gift card or Amazon. You’ll get paid within 48 hours of your payout being processed, just for sharing your opinions.
|
| 441 |
+
|
| 442 |
+
They’ve already paid users more than $20 million since 2012, and the most active users can earn a few hundred dollars a month. Plus, they’ve got an “excellent” rating on Trustpilot.
|
| 443 |
+
|
| 444 |
+
It takes just a minute to [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_c?offer_id=6653&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [set up your account and start getting paid to take surveys](https://t.thepennyhoarder.com/aff_c?offer_id=6653&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com"). Plus, right now, you’ll get a free 100-point welcome bonus just for becoming part of the community.
|
| 445 |
+
|
| 446 |
+
6\. Interest: Stop Paying Your Credit Card Company
|
| 447 |
+
|
| 448 |
+
If you have credit card debt, you know. The anxiety, the interest rates, the fear you’re never going to escape…
|
| 449 |
+
|
| 450 |
+
And the truth is, your credit card company doesn’t really care. It’s just getting rich by ripping you off with high interest rates — some up to 36%. But a website called [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_c?offer_id=6370&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [AmOne](https://t.thepennyhoarder.com/aff_c?offer_id=6370&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") wants to help.
|
| 451 |
+
|
| 452 |
+
If you owe your credit card companies $100,000 or less, AmOne will match you with a low-interest loan you can use to pay off every single one of your balances.
|
| 453 |
+
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| 454 |
+
The benefit? You’ll be left with one bill to pay each month. And because personal loans have lower interest rates (AmOne rates start at 6.40% APR), you’ll get out of debt that much faster. Plus: No credit card payment this month.
|
| 455 |
+
|
| 456 |
+
You don’t need a perfect credit score to get a loan — and comparing your options won’t affect your score at all. Plus, AmOne keeps your information confidential and secure, which is probably why after 20 years in business, it still has an A+ rating with the Better Business Bureau.
|
| 457 |
+
|
| 458 |
+
It takes less than a minute and just 10 questions to [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_c?offer_id=6370&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [see what loans you qualify for](https://t.thepennyhoarder.com/aff_c?offer_id=6370&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com")— you don’t even need to enter your Social Security number. You do need to give AmOne a real phone number in order to qualify, but don’t worry — they won’t spam you with phone calls.
|
| 459 |
+
|
| 460 |
+
7\. Wasting Time: Get Paid $225/Month While Watching Movie Previews
|
| 461 |
+
|
| 462 |
+
If we told you that you could get paid while watching videos on your computer, you’d probably laugh.
|
| 463 |
+
|
| 464 |
+
It’s too good to be true, right?
|
| 465 |
+
|
| 466 |
+
But we’re serious. By signing up for a free account with [InboxDollars](https://t.thepennyhoarder.com/aff_c?offer_id=3421&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com"), you could add up to $225 a month to your pocket. They’ll send you short surveys every day, which you can fill out while you watch someone bake brownies or catch up on the latest Kardashian drama.
|
| 467 |
+
|
| 468 |
+
No, InboxDollars won’t replace your full-time job, but it’s something easy you can do while you’re already on the couch tonight, wasting time on your phone.
|
| 469 |
+
|
| 470 |
+
Unlike other sites, InboxDollars pays you in cash — no points or gift cards. It’s already paid its users more than $56 million.
|
| 471 |
+
|
| 472 |
+
Signing up takes about one minute, and you’ll immediately receive [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_c?offer_id=3421&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [a $5 bonus](https://t.thepennyhoarder.com/aff_c?offer_id=3421&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") to get you started.
|
| 473 |
+
|
| 474 |
+
8\. Credit Cards: $10K or More in Debt? Most People Don’t Realize This Option Exists
|
| 475 |
+
|
| 476 |
+
You’re not an extravagant spender. That’s why it feels so surreal to be in so much debt.
|
| 477 |
+
|
| 478 |
+
But with higher inflation and rising costs of everyday purchases, so many of us have had to rely more and more on credit cards just to keep up with just our basic needs.
|
| 479 |
+
|
| 480 |
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The good news is, a company called [National Debt Relief](https://t.thepennyhoarder.com/aff_c?offer_id=7042&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") wants to help by negotiating with your creditors to resolve your debt.
|
| 481 |
+
|
| 482 |
+
If you owe at least $10,000 in unsecured debt (credit card debt, personal loans, medical bills, etc.), National Debt Relief’s experts can set you up with a realistic timeframe and payment plan that works for you.
|
| 483 |
+
|
| 484 |
+
As your monthly payments with the National Debt Relief program add up, they’ll negotiate with your creditors to settle your accounts. You will have to pay a percentage of debt settled, but it’ll still be way less than your original debt.
|
| 485 |
+
|
| 486 |
+
On average, you could resolve your debts in as little as 24 to 48 months.
|
| 487 |
+
|
| 488 |
+
National Debt Relief is one of the largest debt settlement companies in the nation, and has already helped more than 500,000 people.
|
| 489 |
+
|
| 490 |
+
Find out what your best options are for taking control of your debt and re-establishing your financial stability. It only takes a few minutes to [t.thepennyhoarder.com](https://t.thepennyhoarder.com/aff_c?offer_id=7042&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com") [sign up for a free consultation](https://t.thepennyhoarder.com/aff_c?offer_id=7042&aff_id=114&source=overspending-desktop-quora&aff_sub3=overspending-desktop-promoted-answer&aff_sub4=%7B%7Bcampaign.id%7D%7D "t.thepennyhoarder.com").
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| 491 |
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Upvote ·
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| 493 |
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1.1K1.1K
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999306
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9948
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Related questions
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| 500 |
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|
| 501 |
+
[How can I speak directly to the Amazon India's customer service department?](https://www.quora.com/How-can-I-speak-directly-to-the-Amazon-Indias-customer-service-department)
|
| 502 |
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|
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[What's the best Amazon customer service number that will get me to a real person?](https://www.quora.com/Whats-the-best-Amazon-customer-service-number-that-will-get-me-to-a-real-person)
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| 505 |
+
[What is Amazon India’s customer care?](https://www.quora.com/unanswered/What-is-Amazon-India-s-customer-care)
|
| 506 |
+
|
| 507 |
+
[What is the number for Amazon's customer service?](https://www.quora.com/What-is-the-number-for-Amazons-customer-service)
|
| 508 |
+
|
| 509 |
+
[How customer friendly is Amazon India's customer service?](https://www.quora.com/How-customer-friendly-is-Amazon-Indias-customer-service)
|
| 510 |
+
|
| 511 |
+
[Why is Amazon customer support seriously the best in the world?](https://www.quora.com/Why-is-Amazon-customer-support-seriously-the-best-in-the-world)
|
| 512 |
+
|
| 513 |
+
[What it is like to work as a customer service associate at Amazon India?](https://www.quora.com/What-it-is-like-to-work-as-a-customer-service-associate-at-Amazon-India)
|
| 514 |
+
|
| 515 |
+
[How do you contact Amazon Prime customer service?](https://www.quora.com/How-do-you-contact-Amazon-Prime-customer-service)
|
| 516 |
+
|
| 517 |
+
[How is the customer service offered by Amazon?](https://www.quora.com/How-is-the-customer-service-offered-by-Amazon)
|
| 518 |
+
|
| 519 |
+
[How do I speak directly to Amazon India's customer service?](https://www.quora.com/unanswered/How-do-I-speak-directly-to-Amazon-Indias-customer-service)
|
| 520 |
+
|
| 521 |
+
[Why does Amazon not have a customer care number for India?](https://www.quora.com/unanswered/Why-does-Amazon-not-have-a-customer-care-number-for-India)
|
| 522 |
+
|
| 523 |
+
[How do I handle customer service on Amazon?](https://www.quora.com/How-do-I-handle-customer-service-on-Amazon)
|
| 524 |
+
|
| 525 |
+
[What are the different levels of customer care offered by Amazon India?](https://www.quora.com/unanswered/What-are-the-different-levels-of-customer-care-offered-by-Amazon-India)
|
| 526 |
+
|
| 527 |
+
[Does Amazon really have the best customer service?](https://www.quora.com/unanswered/Does-Amazon-really-have-the-best-customer-service)
|
| 528 |
+
|
| 529 |
+
[What is customer care on Amazon India6372.2753.32.?](https://www.quora.com/unanswered/What-is-customer-care-on-Amazon-India6372-2753-32)
|
| 530 |
+
|
| 531 |
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|
| 532 |
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|
| 533 |
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[How can I speak directly to the Amazon India's customer service department?](https://www.quora.com/How-can-I-speak-directly-to-the-Amazon-Indias-customer-service-department)
|
| 534 |
+
|
| 535 |
+
[What's the best Amazon customer service number that will get me to a real person?](https://www.quora.com/Whats-the-best-Amazon-customer-service-number-that-will-get-me-to-a-real-person)
|
| 536 |
+
|
| 537 |
+
[What is Amazon India’s customer care?](https://www.quora.com/unanswered/What-is-Amazon-India-s-customer-care)
|
| 538 |
+
|
| 539 |
+
[What is the number for Amazon's customer service?](https://www.quora.com/What-is-the-number-for-Amazons-customer-service)
|
| 540 |
+
|
| 541 |
+
[How customer friendly is Amazon India's customer service?](https://www.quora.com/How-customer-friendly-is-Amazon-Indias-customer-service)
|
| 542 |
+
|
| 543 |
+
[Why is Amazon customer support seriously the best in the world?](https://www.quora.com/Why-is-Amazon-customer-support-seriously-the-best-in-the-world)
|
| 544 |
+
|
| 545 |
+
Advertisement
|
| 546 |
+
|
| 547 |
+
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|
| 548 |
+
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|
| 1 |
+
URL: https://serpwatch.io/blog/amazon-customer-demographics/
|
| 2 |
+
Content:
|
| 3 |
+
# Amazon Customer Demographics: Prime Users, Target Market, and More in 2024
|
| 4 |
+
|
| 5 |
+
January 3, 2022
|
| 6 |
+
|
| 7 |
+
Posted by Darko Radić
|
| 8 |
+
|
| 9 |
+

|
| 10 |
+
|
| 11 |
+
We all know that Amazon is the largest online retailer of electronics, clothing, music, books, and many other goods. On top of that, Amazon’s subscription services attract millions of users worldwide.
|
| 12 |
+
|
| 13 |
+
That’s why learning about Amazon demographics can provide marketers with a better understanding of consumer behavior. Likewise, SEO specialists can use these insights to improve their content and digital marketing strategies.
|
| 14 |
+
|
| 15 |
+
So, let’s check out the latest data related to Amazon demographics.
|
| 16 |
+
|
| 17 |
+
## Top Amazon Customer Demographics and Stats \| Editor’s Choice
|
| 18 |
+
|
| 19 |
+
- Amazon’s mobile shopping app had **[150.6 million](#stat1)** users in 2019.
|
| 20 |
+
- The global Amazon marketplace has **[6.3 million](#stat2)** sellers.
|
| 21 |
+
- **[85%](#stat5)** of young consumers buy online at least once a week.
|
| 22 |
+
- The Amazon Prime membership base has over **[200 million](#stat10)** users worldwide.
|
| 23 |
+
- The average Amazon Prime member spends **[$1,400](#stat11)** a year on online shopping.
|
| 24 |
+
- The average age of an Amazon consumer is **[37](#stat12)**.
|
| 25 |
+
- **[43%](#stat16)** of consumers click on Amazon ads while browsing the web.
|
| 26 |
+
- **[79.8%](#stat24)** of Amazon customers say that free and fast shipping is the primary reason for shopping on the platform.
|
| 27 |
+
|
| 28 |
+
### How Many People Use Amazon?
|
| 29 |
+
|
| 30 |
+
Over the years, Amazon has grown into an ecommerce juggernaut with hundreds of millions of consumers.
|
| 31 |
+
|
| 32 |
+
Thus, Amazon provides the perfect opportunity for businesses to reach a massive audience. Therefore, SEO specialists working on affiliate websites should pay attention to the following numbers.
|
| 33 |
+
|
| 34 |
+
#### 1\. In September 2019, Amazon’s mobile shopping app had 150.6 million users.
|
| 35 |
+
|
| 36 |
+
Amazon was among the pioneers of online shopping, and it also played a vital role in the rise of mobile shopping. As expected, Amazon tops the list of the most popular apps.
|
| 37 |
+
|
| 38 |
+
For instance, Amazon user statistics show that the second most popular app is Walmart’s app, with around 86 million monthly users.
|
| 39 |
+
|
| 40 |
+
#### 2\. In total, the Amazon marketplace has 6.3 million sellers worldwide.
|
| 41 |
+
|
| 42 |
+
The Amazon marketplace has 387,000 new sellers this year. However, most registered sellers are no longer active, but they have products listed for sale. More precisely, around 1.5 million sellers are active today.
|
| 43 |
+
|
| 44 |
+
#### 3\. 43% of consumers say that Amazon has become more important to them because of the pandemic.
|
| 45 |
+
|
| 46 |
+
According to a recent Amazon shopper survey, 19% of consumers say that next-day delivery is among the main reasons they shop on Amazon. Therefore, the outbreak of COVID-19 boosted the need for efficient and reliable delivery.
|
| 47 |
+
|
| 48 |
+
Despite our need for instant gratification, only 6% of consumers say they rely on same-day deliveries.
|
| 49 |
+
|
| 50 |
+
#### 4\. Small and medium-sized businesses account for around 60% of retail sales on Amazon.
|
| 51 |
+
|
| 52 |
+
Amazon provided SMBs with a platform to sell their goods to a global audience hassle-free. That’s why the number of these companies in the Amazon marketplace continues to grow.
|
| 53 |
+
|
| 54 |
+
Namely, the Amazon demographics report reveals that more than 1.9 million small and medium-sized businesses sell via this ecommerce platform.
|
| 55 |
+
|
| 56 |
+
#### 5\. 85% of consumers aged 18 to 32 years buy online at least a few times per week.
|
| 57 |
+
|
| 58 |
+
Overall, 58% of consumers shop online at least once every few weeks. Thus, it’s clear that the retail culture now relies heavily on ecommerce.
|
| 59 |
+
|
| 60 |
+
Moreover, 18% of Feedvisor’s survey respondents admit to buying online a few times per week. Plus, almost half (48%) of Amazon Prime members buy online once a week or more frequently.
|
| 61 |
+
|
| 62 |
+

|
| 63 |
+
|
| 64 |
+
#### 6\. According to Amazon customer demographics, 65% of consumers aged 33 to 40 years visit Amazon at least a few times per week.
|
| 65 |
+
|
| 66 |
+
The ever-increasing dominance of ecommerce is also changing the way we browse the internet. For example, a visit to Amazon’s website is on a weekly schedule for many consumers worldwide.
|
| 67 |
+
|
| 68 |
+
At the same time, affiliate websites must strive toward improving their SEO game to reach potential consumers. Of course, **[rank trackers like SerpWatch](https://serpwatch.io/serp-checker/)** can be a valuable tool in the battle for a higher position in SERPs.
|
| 69 |
+
|
| 70 |
+
### Amazon Yearly Revenue Stats and Facts
|
| 71 |
+
|
| 72 |
+
Amazon’s diversified portfolio comprises several companies and services, and most of them are highly profitable. As a result, Amazon makes jaw-dropping profits and sets the standard for online shopping year after year. So, here are the numbers to prove it.
|
| 73 |
+
|
| 74 |
+
#### 7\. In 2020, Amazon’s annual net revenue amounted to $386.06 billion.
|
| 75 |
+
|
| 76 |
+
During the pandemic, many people relied on Amazon’s home delivery services to provide them with goods. Consequently, this ecommerce platform generated record-breaking revenue.
|
| 77 |
+
|
| 78 |
+
In comparison, the 2019 Amazon yearly revenue was $280.5 billion. The company generates most of its income through retail product sales, but Amazon users have many other services at their disposal.
|
| 79 |
+
|
| 80 |
+
#### 8\. Amazon’s annual net revenue from subscription services in 2020 amounted to $25.21 billion.
|
| 81 |
+
|
| 82 |
+
In recent years, the subscription services segment has grown to become one of the most prominent product groups. Amazon Prime is one of those subscription services with over 150 million paying members.
|
| 83 |
+
|
| 84 |
+
#### 9\. Amazon consumers spent 7.6% more on Prime Day in 2021 than in 2020.
|
| 85 |
+
|
| 86 |
+
Amazon demographics for 2021 show that the sales on Prime Day still attract a massive audience. But, most importantly, consumers are willing to spend. More precisely, on June 21 and June 22, the total sales reached $11.19 billion.
|
| 87 |
+
|
| 88 |
+
In comparison, the sales on Amazon Prime Day in October 2020 reached $10.39 billion. In 2021, the best-selling categories included tools, nutrition, beauty, and electronics.
|
| 89 |
+
|
| 90 |
+
#### 10\. The Amazon Prime membership base has over 200 million users worldwide.
|
| 91 |
+
|
| 92 |
+
Although the official information regarding Amazon Prime was scarce until recently, the latest Amazon Prime customer demographics studies show a significant increase in the numbers of paid members—50 million more between Q4 of 2019 and Q1 of 2021.
|
| 93 |
+
|
| 94 |
+
#### 11\. On average, Prime members yearly spend $1,400 on online shopping.
|
| 95 |
+
|
| 96 |
+
As expected, Amazon Prime members spend more time and money on Amazon than non-Prime members. According to 2019 data, non-Prime members spend around $600 a year. So, Prime members spend twice as much, even though they also have to pay for the subscription.
|
| 97 |
+
|
| 98 |
+
### Amazon Customer Demographics for 2021
|
| 99 |
+
|
| 100 |
+
These days, it seems like everyone is ordering something from Amazon. Likewise, marketers from all sides are competing for positions in SERPs to refer visitors to Amazon products. So, to get the grips with the situation, let’s see what the stats say about Amazons’ customers.
|
| 101 |
+
|
| 102 |
+
#### 12\. The average Amazon user is 37 years old.
|
| 103 |
+
|
| 104 |
+
According to a June 2019 report, 53% of Amazon users are between 19 and 44 years old. This particular age group corresponds to 37% of the American population.
|
| 105 |
+
|
| 106 |
+
Therefore, Amazon buyer demographics show that the company targets the average American consumer. As a result, many customers are loyal to Amazon’s online services.
|
| 107 |
+
|
| 108 |
+
#### 13\. The average Amazon buyer has an annual household income of $84,449.
|
| 109 |
+
|
| 110 |
+
In a 2019 survey on the average consumers at Walmart and Amazon, the results showed a notable difference regarding the shopper’s income. Namely, Walmart dominates the low-income demographic, and the average Walmart shopper has an annual income of $76,313.
|
| 111 |
+
|
| 112 |
+
Also, the data gathered after surveying 3,000 consumers revealed that the average shopper at both these chains is a 46-year-old white woman.
|
| 113 |
+
|
| 114 |
+
#### 14\. The Amazon Prime demographics in June 2020 showed that 81% of US adults between the ages of 18 and 34 were Amazon Prime members.
|
| 115 |
+
|
| 116 |
+
During the COVID-19 pandemic, Amazon experienced an uptick in subscriptions for the Prime program. To be precise, the percentage of US adults aged 18 to 34 years who had Amazon Prime accounts jumped by 11% from February 2020.
|
| 117 |
+
|
| 118 |
+
Also, the pandemic triggered a rise in Prime memberships across all age groups.
|
| 119 |
+
|
| 120 |
+
#### 15\. 67% of Amazon Prime members are parents or guardians of a child under 17 living at home.
|
| 121 |
+
|
| 122 |
+
According to Amazon Prime membership statistics, consumers with household incomes higher than $150,000 are more likely to subscribe than those with incomes under $25,000.
|
| 123 |
+
|
| 124 |
+
Likewise, the product price drives buying decisions. Overall, 82% of Amazon shoppers admit that price is the essential factor in the buying process.
|
| 125 |
+
|
| 126 |
+
#### 16\. 43% of consumers click on advertisements linking to Amazon products.
|
| 127 |
+
|
| 128 |
+
While surfing the web, younger consumers are more likely to click on Amazon ads. Google is the top referrer, with 76% of consumers citing Google as the source of the ad. The second-best referral source is Facebook, with 49% of consumers clicking on Amazon ads.
|
| 129 |
+
|
| 130 |
+
**[Optimizing images for SEO](https://serpwatch.io/blog/how-to-optimize-images-for-seo/)** is also a smart way to increase product visibility not only in Amazon’s search engine, but Google’s as well.
|
| 131 |
+
|
| 132 |
+
### Statistics About the Amazon Target Markets
|
| 133 |
+
|
| 134 |
+
In almost any line of business, knowing your customers is an essential step on the path to success. Like SEO experts **[track rankings and analyze keywords](https://serpwatch.io/features/rank-tracking/)**, Amazon also collects and studies data on its users. By doing so, it can expand into various markets.
|
| 135 |
+
|
| 136 |
+
#### 17\. The category “books” accounts for 76% of the total products on Amazon.
|
| 137 |
+
|
| 138 |
+
As we all know, Amazon started as a book-selling website. In essence, Bezos launched an online bookstore, running the business from a garage in Washington.
|
| 139 |
+
|
| 140 |
+
So, it’s not surprising to see book lovers as one of the primary Amazon target markets in 2021. In total, the online bookstore has 57.2 million products in the “books” category.
|
| 141 |
+
|
| 142 |
+
#### 18\. Amazon Fire TV has more than 50 million active monthly users.
|
| 143 |
+
|
| 144 |
+
Amazon Fire TV is another consumer-focused service provided by Amazon that offers a personalized streaming experience. In other words, Fire TV will let you play, watch, and listen to what you want, when you want.
|
| 145 |
+
|
| 146 |
+
Amazon is continuously optimizing the service, so the Amazon Fire TV user base should grow in upcoming years.
|
| 147 |
+
|
| 148 |
+
#### 19\. In 2020, 71.3 million US households had Amazon Prime.
|
| 149 |
+
|
| 150 |
+
Potential Prime members are the primary Amazon target audience, mainly because the average subscriber to Amazon Prime spends more money than a non-Prime consumer.
|
| 151 |
+
|
| 152 |
+
As a result, the number of members will probably continue to grow, reaching 76.6 million American households by 2022.
|
| 153 |
+
|
| 154 |
+
#### 20\. 68% of Amazon shoppers had Amazon Prime accounts in October 2020.
|
| 155 |
+
|
| 156 |
+
Amazon Prime offers a range of perks and benefits, attracting users of all ages. With more than two-thirds of Amazon shoppers having Amazon Prime accounts, the company generates more revenue than ever.
|
| 157 |
+
|
| 158 |
+
For example, the record-breaking sales in the last quarter of 2020 amounted to $96.1 billion.
|
| 159 |
+
|
| 160 |
+
#### 21\. According to Amazon buyer demographics, 64% of Amazon sellers are men.
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| 161 |
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| 162 |
+
A recent demographic study has revealed that around a third (32%) of sellers on Amazon are women. So, Amazon’s marketplace still has a long way to go before getting close to gender equality.
|
| 163 |
+
|
| 164 |
+
In addition, JungleScout reports that 58% of all Amazon sellers are between 25 and 44 years old, with the most common age being 39.
|
| 165 |
+
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| 166 |
+
#### 22\. 71% of Amazon sellers have a bachelor’s degree or higher.
|
| 167 |
+
|
| 168 |
+
Overall, Amazon sellers are well-educated and well-versed in modern technologies. In addition, Amazon customer demographics show a similar pattern. As we’ve already mentioned, Amazon targets higher-income consumers as opposed to Walmart.
|
| 169 |
+
|
| 170 |
+
Likewise, 70% of Amazon sellers have jobs other than their Amazon shops. Precisely, 36% of sellers have full-time jobs. Yet, 22% generate income only by selling on Amazon.
|
| 171 |
+
|
| 172 |
+
#### 23\. 82% of people aged 20–29 are Amazon Prime membership holders.
|
| 173 |
+
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| 174 |
+
Moreover, Amazon’s market segmentation reveals that younger consumers are more likely to subscribe to Amazon Prime than older shoppers. For instance, 64% of Amazon shoppers over 70 are Prime membership holders.
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| 175 |
+
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| 176 |
+
#### 24\. In 2020, 79.8% of consumers said that fast and free shipping was the primary reason to shop via Amazon.
|
| 177 |
+
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| 178 |
+
Amazon offers a broad selection of products. That’s why 68.9% of consumers shop on Amazon since the platform has everything they might need.
|
| 179 |
+
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| 180 |
+
Yet, the convenience of fast and free delivery remains the top incentive for buying on the platform for most of Amazon’s target market demographics. Another reason is that consumers are already Prime membership holders (65.7%).
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+
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| 182 |
+
#### 25\. 93% of Amazon Prime members continue to pay for the service after one year.
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| 183 |
+
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+
As they say—once you go Prime, you never go back. For instance, 98% of Prime membership holders stay signed up after using the program for two years.
|
| 185 |
+
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| 186 |
+
Since Amazon is all about customer satisfaction, 70% of consumers who used Amazon Prime for a year or more admit to being very satisfied with the service.
|
| 187 |
+
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| 188 |
+
### Amazon Customer Demographics \| The Takeaway
|
| 189 |
+
|
| 190 |
+
The Amazon empire spans continents and regions, and this multinational enterprise is showing no signs of stopping. Moreover, Amazon’s growth potential is still high, and many people can benefit from selling on the platform or through other channels.
|
| 191 |
+
|
| 192 |
+
For instance, ranking your products high on Amazon can help generate higher ROI. But, of course, the trick is in optimizing your pages and creating content with SEO in mind.
|
| 193 |
+
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+
That’s where apps like **[SerpWatch](https://serpwatch.io/)** can make your life much easier. After using SerpWatch, your affiliate websites will see an uptick in ranking, positively impacting the ROI.
|
| 195 |
+
|
| 196 |
+
### Frequently Asked Question \| FAQ
|
| 197 |
+
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| 198 |
+
#### Who are Amazon’s target customers?
|
| 199 |
+
|
| 200 |
+
From its inception, Amazon has been focusing on customers’ needs, earning the title of one the most customer-centric companies. In essence, Amazon goes above and beyond to meet the needs of every customer. So, this massive ecommerce platform targets consumers of all ages, genders, and financial backgrounds.
|
| 201 |
+
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| 202 |
+
For instance, in 2017, Amazon launched a service targeting America’s teenagers, allowing them to shop with a unique login. Nowadays, the company is expanding its operations, aiming to provide services to a worldwide audience.
|
| 203 |
+
|
| 204 |
+
#### How old is the average Amazon customer?
|
| 205 |
+
|
| 206 |
+
In many ways, Amazon depicts modern American society and our new way of life. So, it’s not surprising to see that the average Amazon customer is around 37 years old, employed, and familiar with mobile devices, voice assistants, and online shopping.
|
| 207 |
+
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| 208 |
+
For instance, statistics from January 2020 reveal that 81% of US adults aged 18 to 34 were Amazon Prime members. But, of course, this specific demographic group comes with the financial potential to pay for exclusive online shopping services.
|
| 209 |
+
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| 210 |
+
#### How much does Amazon make a year?
|
| 211 |
+
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+
It’s no secret that Amazon is among the top-earning corporations on the planet, with Jeff Bezos topping the list of the wealthiest business executives. And even though the founder and long-standing CEO is currently not at the helm, Amazon still breaks records and earns staggering amounts.
|
| 213 |
+
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| 214 |
+
To be precise, Amazon reported $21.33 billion of net income in 2020, while the overall company’s revenue for the same period amounted to $386 billion. Admittedly, the pandemic affected the results in 2020, but it’s clear that Amazon generates jaw-dropping amounts.
|
| 215 |
+
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| 216 |
+
#### What countries does Amazon ship to?
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Worldwide shipping has been one of Amazon’s goals from the early days, and those dreams are now a reality. Thanks to the benefits of ecommerce, Amazon’s network of storage centers and support hubs can deliver goods with lightning speed.
|
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+
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+
Currently, Amazon delivers products to more than 100 countries and regions besides the United States. But, of course, your shipping destination could affect the availability of specific items. Therefore, checking if the product is eligible for Amazon Global is essential before placing an order.
|
| 221 |
+
|
| 222 |
+
#### How many countries does Amazon operate in?
|
| 223 |
+
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| 224 |
+
Nowadays, most people shop online, and Amazon was among the first ecommerce platforms to popularize online shopping. Also, this international enterprise has conquered the world with its fast home deliveries, low prices, and excellent customer support.
|
| 225 |
+
|
| 226 |
+
For example, Amazon has 15 websites. Likewise, the exclusive Amazon Prime is available in 20 countries. Overall, Amazon’s famous packaging arrives at people’s homes in more than 100 countries worldwide. Moreover, new storage centers and delivery hubs are likely to appear in the upcoming years, expanding Amazon’s network and reach.
|
| 227 |
+
|
| 228 |
+
#### How many people have Amazon Prime?
|
| 229 |
+
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| 230 |
+
Available in several countries, Amazon Prime is a subscription model granting exclusive benefits for a yearly fee of $119. Established in 2005, Amazon Prime covers several areas, including the three Ss: shipping, shopping, and streaming. As a result, more and more users are opting for the Prime package.
|
| 231 |
+
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| 232 |
+
To be precise, around 200 million people worldwide are using this membership program, with about 147 million members in the United States. Overall, people from 20 countries have access to Amazon Prime.
|
| 233 |
+
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| 234 |
+
#### What percent of Amazon customers have Prime?
|
| 235 |
+
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| 236 |
+
Amazon Prime was launched in 2005, and it has been gradually increasing offerings ever since, especially in the last few years. Today, with more than 200 million users, this subscription program generates massive profits, but it also provides members with plenty of benefits.
|
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+
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+
Amazon Prime is on the verge of having 150 million subscribers in the US, while the global customer base amounts to 200 million. In 2019, studies showed that 65% of Amazon users also opted for Prime service. During the pandemic, this percentage probably grew significantly.
|
| 239 |
+
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| 240 |
+
#### How many households have Amazon Prime?
|
| 241 |
+
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| 242 |
+
Having an Amazon Prime membership is no longer a status symbol because it feels like most people have it these days. Admittedly, the number of Prime subscribers has increased significantly since 2005, but the surveys in 2019 showed that “only” 66.4 million households in the US had a subscription to the service.
|
| 243 |
+
|
| 244 |
+
As expected, the outbreak of COVID-19 inspired a wave of membership applications, so the number of households with Amazon Prime grew to 74.4 million. According to the latest Amazon customer demographics, 76.6 million households are expected to have Amazon Prime by 2022.
|
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| 246 |
+
* * *
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| 247 |
+
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| 248 |
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**Sources**
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| 249 |
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| 250 |
+
_[Amazon](https://www.aboutamazon.com/news/company-news/2020-letter-to-shareholders), [Business Standard](https://www.business-standard.com/article/international/amazon-fire-tv-surpasses-50-million-monthly-active-users-worldwide-120122800170_1.html), [Digital Commerce 360](https://www.digitalcommerce360.com/article/amazon-prime-day-sales/), [Digital Commerce 360](https://www.digitalcommerce360.com/article/amazon-prime-membership/), [Feedvisor](https://fv.feedvisor.com/rs/656-BMZ-780/images/Feedvisor-Consumer-Survey-2019.pdf), [Goat Consulting](https://www.goatconsulting.com/blog/which-age-group-uses-amazon-prime-most), [Insider](https://www.businessinsider.com/amazon-shoppers-richer-than-walmart-2020-1), [JungleScout](https://www.junglescout.com/blog/amazon-seller-demographics/), [Marketplace Plus](https://www.marketplacepulse.com/amazon/number-of-sellers), [Marketwatch](https://www.marketwatch.com/story/amazon-prime-member-total-reaches-142-million-in-u-s-with-more-shoppers-opting-in-for-a-full-year-data-shows-11611073132), [ScrapeHero](https://www.scrapehero.com/how-many-products-does-amazon-sell-march-2021/), [Statista](https://www.statista.com/statistics/579718/most-popular-us-shopping-apps-ranked-by-audience/), [Statista](https://www.statista.com/statistics/266282/annual-net-revenue-of-amazoncom/), [Statista](https://www.statista.com/statistics/672747/amazons-consolidated-net-revenue-by-segment/), [Statista](https://www.statista.com/statistics/829113/number-of-paying-amazon-prime-members/), [Statista](https://www.statista.com/statistics/304938/amazon-prime-and-non-prime-members-average-sales-spend/?_ga=2.48114599.1468937508.1626420445-715314593.1626420445), [Statista](https://www.statista.com/statistics/304940/amazon-prime-us-age-distribution/), [Statista](https://www.statista.com/statistics/861060/total-number-of-households-amazon-prime-subscription-usa/), [Statista](https://www.statista.com/statistics/670499/us-amazon-usage-reason/), [The New York Post](https://nypost.com/2017/08/19/guess-how-old-the-average-amazon-customer-is/)_
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Tags: [amazon](https://serpwatch.io/tag/amazon/), [amazon customer demographics](https://serpwatch.io/tag/amazon-customer-demographics/), [eCommerce](https://serpwatch.io/tag/ecommerce/), [statistics](https://serpwatch.io/tag/statistics/)
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Post Comment
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- [](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fserpwatch.io%2Fblog%2Famazon-customer-demographics%2F)
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- [](https://twitter.com/intent/tweet?text=Amazon+Customer+Demographics%3A+Prime+Users%2C+Target+Market%2C+and+More+in+2024&url=https%3A%2F%2Fserpwatch.io%2Fblog%2Famazon-customer-demographics%2F)
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- [](https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fserpwatch.io%2Fblog%2Famazon-customer-demographics%2F&title=Amazon+Customer+Demographics%3A+Prime+Users%2C+Target+Market%2C+and+More+in+2024)
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0 comments
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There are currently no comments.
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Be the first!))
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| 1 |
+
URL: https://businessmodelanalyst.com/amazon-target-market/?srsltid=AfmBOooOfEWNbeBahlvX7TRL4QGvBQnr8Jwy9efc6bXPHBQs_TN-k_jf
|
| 2 |
+
Content:
|
| 3 |
+
|
| 4 |
+
|
| 5 |
+
Understanding the target market is essential for any business aiming to thrive in today’s competitive landscape. For Amazon, one of the world’s largest and most influential companies, this understanding has been crucial to its success.
|
| 6 |
+
|
| 7 |
+
From its [humble beginnings back in 1995](https://www.techtarget.com/whatis/definition/Amazon) as an online bookseller, Amazon has grown into a global e-commerce giant, shaping how consumers shop and interact with brands. With its diverse product offerings and expansive reach, the company has mastered targeting various customer segments, allowing it to dominate the online retail industry.
|
| 8 |
+
|
| 9 |
+
In this article, we will explore **Amazon target market** and how the company’s understanding of its audience has influenced its business strategies and continued success. By the end of this analysis, you will have a clearer picture of what makes Amazon’s target market so critical to its growth and dominance.
|
| 10 |
+
|
| 11 |
+
Contents
|
| 12 |
+
|
| 13 |
+
Toggle
|
| 14 |
+
|
| 15 |
+
## Who Is Amazon Target Audience?
|
| 16 |
+
|
| 17 |
+

|
| 18 |
+
|
| 19 |
+
Amazon’s target audience is diverse, but key demographics shape the company’s success. The core segments include millennials, urban dwellers, and value-conscious shoppers.
|
| 20 |
+
|
| 21 |
+
[Millennials](https://www.adverio.io/amazon-target-market/), born between the early 1980s and mid-1990s, are a tech-savvy generation comfortable with online shopping, making them a prime focus for Amazon. They seek convenience, turning to Amazon for various products, from electronics to household essentials.
|
| 22 |
+
|
| 23 |
+
Urban dwellers who live in bustling cities also represent a crucial part of Amazon’s target market. These consumers value efficiency, and Amazon’s vast selection of products, paired with fast delivery, caters to their need for time-saving shopping solutions.
|
| 24 |
+
|
| 25 |
+
Another key group is value-conscious shoppers. These individuals prioritize affordability and actively look for deals and discounts. Amazon’s competitive pricing and frequent promotions attract these consumers, who appreciate both quality and cost-effectiveness.
|
| 26 |
+
|
| 27 |
+
Amazon’s target market shares several common traits, such as a preference for convenience, low prices, and a wide product selection. This audience is primarily digitally connected, relying on smartphones, tablets, and laptops to shop efficiently.
|
| 28 |
+
|
| 29 |
+
With seamless shopping experiences, competitive pricing, and a broad array of products, Amazon’s target market spans a wide demographic range while remaining anchored by millennials, urban residents, and budget-conscious buyers.
|
| 30 |
+
|
| 31 |
+
## Amazon Target Market Segmentation and Marketing
|
| 32 |
+
|
| 33 |
+

|
| 34 |
+
|
| 35 |
+
Market segmentation divides a broad audience into distinct groups based on shared characteristics, enabling companies to target each group more effectively. Amazon employs this strategy through demographic, geographic, behavioral, and psychographic segmentation.
|
| 36 |
+
|
| 37 |
+
Demographically, Amazon serves many customers, from young adults to older individuals, catering to both men and women. Its market includes various life stages, from students to professionals and families, allowing its products and services to appeal to a broad audience across different occupations and lifestyles.
|
| 38 |
+
|
| 39 |
+
Geographically, [Amazon operates in over 100 countries](https://expertbeacon.com/how-many-countries-does-amazon-operate-in/?utm_source=perplexity) and extends its services to customers in both urban and rural areas. Its ability to adapt to the regional needs of different markets allows it to provide tailored services and delivery options, which ensures convenience for a global audience.
|
| 40 |
+
|
| 41 |
+
Behavioral segmentation focuses on customer buying patterns and targets groups based on loyalty and purchasing habits. Whether serving first-time users, regular buyers, or even occasional shoppers, Amazon leverages its product variety, competitive pricing, and convenience to appeal to different levels of engagement.
|
| 42 |
+
|
| 43 |
+
Psychographically, Amazon attracts many customers from various social classes and lifestyle preferences. It caters to everyone, from mainstream shoppers looking for reliability to explorers and those seeking new products and experiences.
|
| 44 |
+
|
| 45 |
+
This comprehensive approach to segmentation enables Amazon to deliver personalized experiences and effectively connect with its vast and diverse customer base, guaranteeing that it meets the specific needs of various consumer groups. Below, we’ll look at each of Amazon’s market segments.
|
| 46 |
+
|
| 47 |
+
### Amazon Demographic Segmentation
|
| 48 |
+
|
| 49 |
+
Amazon’s demographic segmentation focuses on categorizing customers based on age, gender, income, and education. By analyzing these demographic traits, Amazon tailors its marketing strategies and product offerings to meet different groups’ unique preferences and needs.
|
| 50 |
+
|
| 51 |
+
#### Age
|
| 52 |
+
|
| 53 |
+
Amazon’s target market primarily consists of millennials and encompasses many older generations. Notably, [85% of consumers](https://serpwatch.io/blog/amazon-customer-demographics/) aged 18 to 32 shop online at least a few times each week, indicating millennials’ substantial engagement with e-commerce. Additionally, [65% of consumers](https://serpwatch.io/blog/amazon-customer-demographics/) aged 33 to 40 visit Amazon frequently, which shows intense usage among older age groups.
|
| 54 |
+
|
| 55 |
+
#### Gender
|
| 56 |
+
|
| 57 |
+
While Amazon does not publicly disclose specific statistics on gender, the platform attracts a diverse user base. Its extensive product offerings appeal to a wide range of consumers, which makes it a shopping destination for individuals of all genders.
|
| 58 |
+
|
| 59 |
+
#### Income
|
| 60 |
+
|
| 61 |
+
Income levels among Amazon users vary widely, with small and medium-sized businesses accounting [for around 60% of retail sales](https://www.northone.com/blog/ecommerce/amazon-statistics) on the platform. This shows a mix of budget-conscious shoppers and those seeking premium products catering to a broad spectrum of income levels.
|
| 62 |
+
|
| 63 |
+
#### Education
|
| 64 |
+
|
| 65 |
+
Amazon users’ education levels are generally high, as many millennials and older adults are educated and tech-savvy. According to Amazon’s 2021 Consumer Behavior Report, [57% of consumers](https://ecommercegermany.com/blog/key-takeaways-from-the-2021-amazon-consumer-behavior-report?utm_source=perplexity) feel the company has become more essential to their post-pandemic shopping habits, demonstrating the platform’s adaptability and relevance in a changing marketplace.
|
| 66 |
+
|
| 67 |
+
With a robust infrastructure that supports a vast global audience, Amazon continues to enhance its appeal to diverse demographic groups, making it an essential player in the e-commerce landscape.
|
| 68 |
+
|
| 69 |
+
### Amazon Geographic Segmentation
|
| 70 |
+
|
| 71 |
+
Geographic segmentation organizes audiences based on geographic characteristics, which allows companies to tailor their marketing strategies to local preferences. Amazon effectively employs geographic segmentation to enhance its service offerings across diverse regions.
|
| 72 |
+
|
| 73 |
+
With a global footprint spanning over 100 countries, Amazon adapts its products and services based on local market dynamics and consumer preferences.
|
| 74 |
+
|
| 75 |
+
This includes localized pricing strategies, product availability, and promotional campaigns tailored to each region’s needs. For example, in urban areas, Amazon may focus on rapid delivery services and a broader selection of products to cater to the demands of city dwellers. In contrast, in rural areas, the emphasis may shift to accessibility and value offerings.
|
| 76 |
+
|
| 77 |
+
By addressing these regional differences, Amazon enhances customer engagement and loyalty, ultimately driving sales and solidifying its position in the global market. This geographic segmentation helps Amazon reach a wider audience and ensures its marketing efforts resonate with local customers.
|
| 78 |
+
|
| 79 |
+
### Amazon Behavioral Segmentation
|
| 80 |
+
|
| 81 |
+
Amazon employs behavioral segmentation to understand and categorize its diverse customer base, focusing on how they interact with the platform. This method analyzes purchase behavior, user status, and loyalty levels to tailor marketing strategies effectively. Amazon identifies key segments, such as new and opportunistic shoppers, alongside loyal customers who frequently engage with the platform.
|
| 82 |
+
|
| 83 |
+
By tracking customer actions like wish lists, browsing history, and purchase frequency, Amazon gains insights into customer readiness to buy. This allows the company to provide personalized product recommendations, significantly enhancing the shopping experience.
|
| 84 |
+
|
| 85 |
+
Notably, Amazon distinguishes between casual shoppers and Prime members, with the latter typically exhibiting higher purchase frequency. This segmentation enables Amazon to cater its marketing efforts more precisely, increasing customer engagement.
|
| 86 |
+
|
| 87 |
+
The data-driven approach to behavioral segmentation substantially impacts Amazon’s sales, with recommendations contributing to [approximately 35% of total sales as of 2021](https://www.rejoiner.com/resources/amazon-recommendations-secret-selling-online). This personalization fosters loyalty and encourages repeat purchases, as customers feel understood and valued.
|
| 88 |
+
|
| 89 |
+
Overall, Amazon’s effective use of behavioral segmentation is critical in maintaining its competitive edge in the e-commerce landscape by creating tailored experiences that drive customer satisfaction and sales growth.
|
| 90 |
+
|
| 91 |
+
### Amazon Psychographic Segmentation
|
| 92 |
+
|
| 93 |
+
Psychographic segmentation involves categorizing consumers based on their psychological traits, values, interests, and lifestyles, which helps brands understand their target market more deeply. For Amazon, this approach is vital in enhancing personalization and customer engagement.
|
| 94 |
+
|
| 95 |
+
Amazon’s audience spans a broad social class spectrum, from lower to upper classes, which reflects varied purchasing power and preferences. The company recognizes diverse lifestyle types, including Resigned, Struggler, Mainstreamer, Aspirer, Succeeder, Explorer, and Reformer. These categories capture distinct consumer motivations and aspirations, enabling Amazon to cater to various needs and desires.
|
| 96 |
+
|
| 97 |
+
Personality traits among Amazon customers vary significantly, with shared characteristics such as being easygoing, determined, or ambitious. These traits significantly influence shopping behaviors, including product choices and purchasing frequency. For instance, ambitious shoppers may seek premium products and services, while mainstreamers prioritize value and convenience.
|
| 98 |
+
|
| 99 |
+
Amazon leverages these psychographic insights to tailor its marketing messages effectively. By understanding its customers’ core values and lifestyle choices, the company crafts personalized recommendations and targeted advertising, enhancing customer satisfaction and loyalty. This strategic alignment between psychographic factors and marketing efforts allows Amazon to resonate with its diverse audience, ultimately driving engagement and sales.
|
| 100 |
+
|
| 101 |
+
### Amazon Marketing Strategy
|
| 102 |
+
|
| 103 |
+
Amazon connects with its target market through various marketing strategies, including pay-per-click (PPC) advertising to promote products and services, and search engine optimization (SEO) to enhance visibility in search results. Key tactics include personalized email marketing, video marketing to influence purchase decisions, and regular web design updates to improve user experience.
|
| 104 |
+
|
| 105 |
+
Additionally, Amazon uses conversion rate optimization (CRO) to refine product listings and leverages user-generated content for social proof. The company relies on user data to tailor shopping experiences and provide relevant advertisements, employing channels like social media and digital ads to maintain strong audience engagement.
|
| 106 |
+
|
| 107 |
+
## How Amazon Reaches Its Audience
|
| 108 |
+
|
| 109 |
+
Amazon employs a multifaceted marketing strategy that effectively connects with its diverse target audience through various channels.
|
| 110 |
+
|
| 111 |
+
### Pay-Per-Click Advertising
|
| 112 |
+
|
| 113 |
+
Amazon employs pay-per-click (PPC) advertising as an essential tactic to connect with its audience. This strategy promotes products like the Amazon Echo and services like Amazon Prime on its website and third-party platforms like IMDb.com. This targeted advertising drives significant revenue while enhancing brand visibility among potential customers.
|
| 114 |
+
|
| 115 |
+
### Search Engine Optimization
|
| 116 |
+
|
| 117 |
+
To maximize its reach, Amazon utilizes search engine optimization (SEO) to improve the visibility of its product listings. The company captures increased traffic by optimizing its pages for higher rankings in both Amazon and Google search results, leading to higher sales volumes.
|
| 118 |
+
|
| 119 |
+
### Email Marketing
|
| 120 |
+
|
| 121 |
+
Email marketing plays a central role in how Amazon reaches its audience. The company sends personalized communications that go beyond order confirmations. Customers receive tailored product recommendations, reminders for product reviews, and announcements about upcoming sales, which ensures continuous engagement with the brand.
|
| 122 |
+
|
| 123 |
+
### Video Marketing
|
| 124 |
+
|
| 125 |
+
Recognizing the power of visual content, Amazon integrates video marketing into its strategy. Videos are utilized across product listings and advertising campaigns, as research shows that 90% of consumers consider video influential in their purchasing decisions. This approach educates potential buyers about products, enhancing their likelihood to purchase.
|
| 126 |
+
|
| 127 |
+
### Conversion Rate Optimization
|
| 128 |
+
|
| 129 |
+
Amazon also uses conversion rate optimization (CRO) to refine the shopping experience. By regularly testing design elements and user flows on its website, the company identifies what motivates shoppers to complete their purchases, leading to more effective sales processes.
|
| 130 |
+
|
| 131 |
+
### User-Generated Content
|
| 132 |
+
|
| 133 |
+
Amazon leverages user-generated content by encouraging customers to leave product reviews, upload images, and answer questions. This peer-driven feedback builds trust and influences purchasing decisions.
|
| 134 |
+
|
| 135 |
+
### Personalization Through User Data
|
| 136 |
+
|
| 137 |
+
Central to Amazon’s marketing strategy is the use of user data. The company personalizes the online shopping experience by analyzing shopper behavior, providing tailored recommendations and relevant advertisements. This data-driven approach ensures that customers feel their shopping experience is unique, which fosters brand loyalty and repeat business.
|
| 138 |
+
|
| 139 |
+
Amazon’s multifaceted marketing approach effectively reaches and engages its target audience. By utilizing a diverse range of channels, including PPC advertising, SEO, email marketing, video content, web design, CRO, user-generated content, and user data analysis, Amazon creates a seamless and personalized shopping experience.
|
| 140 |
+
|
| 141 |
+
The company’s ability to adapt and optimize its marketing strategies in response to customer behavior ensures that it remains a leader in the competitive e-commerce landscape. Through these efforts, Amazon continues connecting with its audience, driving customer satisfaction and business growth.
|
| 142 |
+
|
| 143 |
+
## Comparison to Competitors’ Target Audience
|
| 144 |
+
|
| 145 |
+
When analyzing Amazon’s target audience, it is essential to recognize how this audience differs from and overlaps with that of its key competitors. Amazon’s primary audience is online shoppers seeking convenience, variety, and competitive pricing.
|
| 146 |
+
|
| 147 |
+
To draw meaningful comparisons, we will focus on two main competitors: Walmart and eBay. Competitors provide unique shopping experiences and appeal to distinct consumer needs, influencing their target markets.
|
| 148 |
+
|
| 149 |
+
### Walmart Target Audience
|
| 150 |
+
|
| 151 |
+
Walmart’s target audience encompasses a broad demographic that includes budget-conscious shoppers, families, and individuals seeking a convenient shopping experience. As the largest retailer in the world, Walmart caters to customers looking for affordable products across various categories, including groceries, household items, clothing, and electronics.
|
| 152 |
+
|
| 153 |
+
Walmart’s convenience of physical stores and expansive online presence appeal to consumers who prefer a hybrid shopping model, combining in-store visits with online purchases.
|
| 154 |
+
|
| 155 |
+
#### Similarities
|
| 156 |
+
|
| 157 |
+
Both Walmart and Amazon serve a diverse audience that prioritizes convenience and affordability. Shoppers on both platforms often compare prices, product variety, and delivery options. As a result, both retailers compete for the same price-sensitive consumers who value low costs and quick access to products.
|
| 158 |
+
|
| 159 |
+
#### Differences
|
| 160 |
+
|
| 161 |
+
While Amazon predominantly operates online and offers a vast selection of products, Walmart has a substantial physical presence, [boasting over 4,700 stores in the U.S](https://www.verticalrail.com/2023/07/13/what-is-the-reach-and-audience-size-of-walmart-connect/). This extensive network allows Walmart to attract customers who appreciate the ability to browse products in person or pick up online orders quickly.
|
| 162 |
+
|
| 163 |
+
Additionally, Walmart’s commitment to same-day delivery and curbside pickup options enhances its appeal to consumers looking for immediate satisfaction.
|
| 164 |
+
|
| 165 |
+
### eBay Target Audience
|
| 166 |
+
|
| 167 |
+
eBay appeals to a different segment of the online shopping market, focusing on value seekers and bargain hunters. Its audience consists of shoppers interested in both new and used items, including collectibles, antiques, and rare finds. eBay’s auction model further distinguishes it from Amazon, allowing consumers to bid on products rather than purchase them at fixed prices.
|
| 168 |
+
|
| 169 |
+
#### Similarities
|
| 170 |
+
|
| 171 |
+
Like Amazon, eBay attracts a broad spectrum of online shoppers. Both platforms emphasize competitive pricing and product variety, appealing to consumers open to exploring different options before purchasing.
|
| 172 |
+
|
| 173 |
+
#### Differences
|
| 174 |
+
|
| 175 |
+
The most significant difference lies in the shopping experience each platform provides. eBay’s auction feature creates a unique buying experience where consumers can engage in bidding wars and potentially score great deals on items that may not be available on Amazon.
|
| 176 |
+
|
| 177 |
+
This interactive element caters to a niche audience that enjoys the thrill of bidding and the search for unique items. In contrast, Amazon’s focus on a seamless shopping experience, where consumers can quickly find and buy products, caters to those prioritizing efficiency over searching for deals.
|
| 178 |
+
|
| 179 |
+
## Key Advantages and Disadvantages
|
| 180 |
+
|
| 181 |
+
Amazon’s greatest strength lies in its extensive product range, offering an unparalleled selection that caters to various consumer needs. From everyday essentials to niche items, shoppers can find almost anything on the platform. The Prime membership enhances this advantage by providing free two-day shipping, streaming services, and exclusive deals, strengthening customer loyalty and encouraging repeat purchases.
|
| 182 |
+
|
| 183 |
+
However, this vast selection can lead to concerns about the quality and uniqueness of mass-produced items, pushing some consumers towards competitors that offer artisanal or unique products. Additionally, Amazon has faced criticism regarding customer service, particularly concerning the quality of products sold by third-party sellers, which may deter shoppers seeking a more personalized experience.
|
| 184 |
+
|
| 185 |
+
Walmart benefits from its extensive network of physical stores, providing convenience that Amazon cannot match. Customers can browse products in-store, utilize curbside pickup, or make immediate purchases, appealing to those who prefer shopping in person. Furthermore, Walmart’s strong reputation for low prices fosters a loyal customer base, leading to consistent foot traffic and online sales.
|
| 186 |
+
|
| 187 |
+
Nonetheless, Walmart’s online selection may not match Amazon’s vast inventory, potentially leading consumers to favor Amazon for specific products. Additionally, some shoppers may perceive Walmart as less convenient than Amazon, mainly if they are accustomed to the efficiency of online shopping.
|
| 188 |
+
|
| 189 |
+
eBay offers a unique shopping experience through its auction feature, attracting consumers who enjoy bidding and hunting for rare items. This distinctive aspect sets it apart from Amazon and appeals to a niche audience. eBay is also perceived as a platform for finding bargains and second-hand items, which attracts budget-conscious shoppers.
|
| 190 |
+
|
| 191 |
+
Even so, some consumers may have trust issues when purchasing from individual sellers, as the quality and reliability of products can vary significantly. This perception can drive potential customers toward Amazon’s standardized selling practices. Additionally, while eBay is well-known, it does not possess the same brand power as Amazon, which can influence purchasing decisions.
|
| 192 |
+
|
| 193 |
+
## Conclusion
|
| 194 |
+
|
| 195 |
+
Amazon’s target market analysis reveals a multifaceted approach to understanding and engaging its diverse customer base. By effectively segmenting its audience demographically, geographically, behaviorally, and psychographically, Amazon tailors its strategies to meet the needs and preferences of millennials, urban dwellers, and value-conscious shoppers.
|
| 196 |
+
|
| 197 |
+
This comprehensive understanding enables Amazon to leverage various marketing tactics, from personalized recommendations to targeted advertising, ensuring a seamless and engaging shopping experience.
|
| 198 |
+
|
| 199 |
+
While Amazon enjoys significant advantages, such as an extensive product range and robust user experience, it must continuously address challenges, including perceptions of mass production and customer service issues. Ultimately, the company’s ability to adapt to its audience’s evolving demands will be critical in maintaining its leadership position in the competitive e-commerce landscape.
|
| 200 |
+
|
| 201 |
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|
| 1 |
+
URL: https://sell.amazon.in/beginners-guide
|
| 2 |
+
Content:
|
| 3 |
+
[iframe](javascript:void(0))Beginner's Guide: How to Start Selling on Amazon?
|
| 4 |
+
|
| 5 |
+

|
| 6 |
+
|
| 7 |
+
[Seller Login](https://sellercentral.amazon.in/nss/center?ref_=sdin_soa_login_prenav_nssc&mons_sel_locale=en_IN&initialSessionID=261-6930706-6080630&ld=SDINSOA-BeginnersGuideSDDirect_SDIN_Navreg2_SClogin)
|
| 8 |
+
|
| 9 |
+

|
| 10 |
+
|
| 11 |
+
Just Announced : Now Amazon.in sellers will save more as they sell more. [Explore now](https://sell.amazon.in/fees-and-pricing)
|
| 12 |
+
|
| 13 |
+
[Amazon Seller](https://sell.amazon.in?ref_=sdin_h_sellerapp&initialSessionID=261-6930706-6080630&ld=SDINSOA-BeginnersGuideSDDirect) \> Beginner's Guide
|
| 14 |
+
|
| 15 |
+
# How to sell on Amazon.in: The beginner's guide
|
| 16 |
+
|
| 17 |
+
Get a detailed start selling guide on everything you need to know about selling on Amazon.in and being a successful seller.
|
| 18 |
+
|
| 19 |
+
[Start Selling](https://sellercentral.amazon.in/seller/onboarding?passthrough%2Faccount=soa&passthrough%2FsuperSource=OAR&ref_=sdin_soa_nav&passthrough%2FmarketplaceID=A21TJRUUN4KGV&productTier=SILVER&productType=SellOnAmazon&marketplaceId=A21TJRUUN4KGV&passthrough%2FinitialSessionID=261-6930706-6080630&passthrough%2Fld=SDINSOA-BeginnersGuideSDDirect_SDIN_Begiguide_header)
|
| 20 |
+
|
| 21 |
+
Download the ebook
|
| 22 |
+
|
| 23 |
+
[Disclaimer](https://sell.amazon.in/beginners-guide/#disclaimer)
|
| 24 |
+
|
| 25 |
+
[](https://sell.amazon.in/fees-and-pricing)
|
| 26 |
+
|
| 27 |
+
- [Intro](#intro)
|
| 28 |
+
- [Welcome to selling on Amazon](#soa)
|
| 29 |
+
- [The Amazon Edge](#edge)
|
| 30 |
+
- [Before you start selling](#before)
|
| 31 |
+
- [How to register](#register)
|
| 32 |
+
- [Steps to selling on Amazon](#steps)
|
| 33 |
+
- [Fees and Pricing](#fees)
|
| 34 |
+
- [Seller Central](#sellercentral)
|
| 35 |
+
- [About Seller Central](#about)
|
| 36 |
+
- [Amazon Seller App](#sellerapp)
|
| 37 |
+
- [How to list your products](#list)
|
| 38 |
+
- [Your first product](#firstprod)
|
| 39 |
+
- [Product details](#proddet)
|
| 40 |
+
- [Delivering your products](#deliver)
|
| 41 |
+
- [Fulfillment by Amazon](#fba)
|
| 42 |
+
- [Easy ship](#es)
|
| 43 |
+
- [Self Ship](#ss)
|
| 44 |
+
- [After the sale](#firstsale)
|
| 45 |
+
- [Getting your payment](#payment)
|
| 46 |
+
- [Performance metrics](#perf)
|
| 47 |
+
- [Customer reviews](#review)
|
| 48 |
+
- [Becoming a great seller](#gsel)
|
| 49 |
+
- [Growth Opportunities](#growthopp)
|
| 50 |
+
- [Fulfillment by Amazon](#gfba)
|
| 51 |
+
- [Sponsored Products](#sp)
|
| 52 |
+
- [Promotions](#promo)
|
| 53 |
+
- [Services to grow](#services)
|
| 54 |
+
- [Manage your business](#manage)
|
| 55 |
+
- [Amazon STEP Program](#step)
|
| 56 |
+
- [Benefits of STEP](#benefits)
|
| 57 |
+
- [I need help](#help)
|
| 58 |
+
- [Get Support](#support)
|
| 59 |
+
- [Support on Facebook](#fb)
|
| 60 |
+
- [Seller University](#su)
|
| 61 |
+
- [Service Providers](#spn)
|
| 62 |
+
|
| 63 |
+
## Introduction to Selling on Amazon.in
|
| 64 |
+
|
| 65 |
+
### Welcome to selling on Amazon.in
|
| 66 |
+
|
| 67 |
+
Amazon.in is India's most visited online shopping marketplace in India and more customers than ever rely on Amazon.in for online shopping. With orders from over 100% serviceable pin-codes in India, Amazon.in has become the online destination for small and medium sized enterprises.
|
| 68 |
+
|
| 69 |
+

|
| 70 |
+
|
| 71 |
+
### Crores of people buy from Amazon.in
|
| 72 |
+
|
| 73 |
+

|
| 74 |
+
|
| 75 |
+
### Secure payments and brand protection
|
| 76 |
+
|
| 77 |
+

|
| 78 |
+
|
| 79 |
+
### Expand your reach to 180+ countries with Amazon.in
|
| 80 |
+
|
| 81 |
+

|
| 82 |
+
|
| 83 |
+
### Services and tools to grow your business
|
| 84 |
+
|
| 85 |
+

|
| 86 |
+
|
| 87 |
+
Did you know:
|
| 88 |
+
|
| 89 |
+
More than 15,000 sellers have become millionaires and over 3500+ sellers have become crorepatis by selling on Amazon.in
|
| 90 |
+
|
| 91 |
+
### The Amazon edge
|
| 92 |
+
|
| 93 |
+
When you start selling on Amazon.in, you become part of a retail destination that’s home to sellers of all kinds, from Fortune 500 organizations to artisan vendors who make handcrafted goods. They all sell here for a reason: to reach the crores of customers who visit Amazon to shop.
|
| 94 |
+
|
| 95 |
+
## How to Start Selling on Amazon?
|
| 96 |
+
|
| 97 |
+
### How to register as a seller on Amazon.in?
|
| 98 |
+
|
| 99 |
+
Now before you start selling, you need to have all your details and documents handy. Here is the checklist of all that is required to start registering as an [Amazon seller](https://sell.amazon.in/) :
|
| 100 |
+
|
| 101 |
+
Email ID
|
| 102 |
+
|
| 103 |
+
Active Mobile Number
|
| 104 |
+
|
| 105 |
+
GST Number (or you are selling in a GST-exempt category) or PAN Details
|
| 106 |
+
|
| 107 |
+
Active Bank Account
|
| 108 |
+
|
| 109 |
+
\*GST is the Goods and Service tax imposed on the supply of goods and services. It is an indirect tax that replaces several others in India like excise duty, VAT, services tax, etc. to make taxation easier for people.
|
| 110 |
+
|
| 111 |
+
Success! You have everything you need to sell on Amazon.in
|
| 112 |
+
|
| 113 |
+
[Click here to begin registration](https://sellercentral.amazon.in/gp/on-board/workflow/Registration/login.html?passthrough%2Faccount=soa&passthrough%2FsuperSource=OAR&ref_=sdin_soa_bguide&passthrough%2FmarketplaceID=A21TJRUUN4KGV&passthrough%2FinitialSessionID=261-6930706-6080630&passthrough%2Fld=SDINSOA-BeginnersGuideSDDirect_BeginnerGuideSD_2checklist)
|
| 114 |
+
|
| 115 |
+
And thats' it! Complete this checklist to start your registration.
|
| 116 |
+
|
| 117 |
+
[Don't have GST? Get the detailed GST application process here](https://sell.amazon.in/seller-blog/how-to-register-for-gst)
|
| 118 |
+
|
| 119 |
+

|
| 120 |
+
|
| 121 |
+
Did you know:
|
| 122 |
+
|
| 123 |
+
Not all products need GST to be sold on Amazon.in. There are certain products like books, certain handicrafts, some edible goods, etc. that are exempted from GST.
|
| 124 |
+
|
| 125 |
+
Click here to view the GST exempted category list
|
| 126 |
+
|
| 127 |
+
### Steps to Launch your Business on Amazon.in
|
| 128 |
+
|
| 129 |
+

|
| 130 |
+
|
| 131 |
+
Step 1
|
| 132 |
+
|
| 133 |
+
[Click here to begin registration](https://sellercentral.amazon.in/gp/on-board/workflow/Registration/login.html?passthrough%2Faccount=soa&passthrough%2FsuperSource=OAR&ref_=sdin_soa_bguide&passthrough%2FmarketplaceID=A21TJRUUN4KGV&passthrough%2FinitialSessionID=261-6930706-6080630&passthrough%2Fld=SDINSOA-BeginnersGuideSDDirect_SDIN_Begiguide_step1)
|
| 134 |
+
|
| 135 |
+
Step 2
|
| 136 |
+
|
| 137 |
+
If you have a customer account on amazon.in, use the email & password to **Sign In**
|
| 138 |
+
|
| 139 |
+
If not, choose **'Create your Amazon account'** and enter the details required
|
| 140 |
+
|
| 141 |
+
Step 3
|
| 142 |
+
|
| 143 |
+
Enter the GST number of your business and verify it by uploading your GSTIN certificate
|
| 144 |
+
|
| 145 |
+
Step 4
|
| 146 |
+
|
| 147 |
+
Enter the store name you want your Amazon.in business to be known by
|
| 148 |
+
|
| 149 |
+
Step 5
|
| 150 |
+
|
| 151 |
+
Enter the pickup address from where carriers can collect products you get orders for
|
| 152 |
+
|
| 153 |
+
Step 6
|
| 154 |
+
|
| 155 |
+
Choose the shipping method you prefer
|
| 156 |
+
|
| 157 |
+
Step 7
|
| 158 |
+
|
| 159 |
+
Provide details of the active bank account of your business
|
| 160 |
+
|
| 161 |
+
Step 8
|
| 162 |
+
|
| 163 |
+
List the products that you want to sell
|
| 164 |
+
|
| 165 |
+
Step 9
|
| 166 |
+
|
| 167 |
+
Click on the 'Launch store and start selling' button
|
| 168 |
+
|
| 169 |
+
Congratulations! You're now a seller on Amazon.in.
|
| 170 |
+
|
| 171 |
+
To read about these steps in detail, check out the Amazon.in seller [registration guide](https://sell.amazon.in/sell-online/seller-registration-guide).
|
| 172 |
+
|
| 173 |
+
## How much does it cost to sell on Amazon?
|
| 174 |
+
|
| 175 |
+
There are different types of fees associated with selling on Amazon.in.
|
| 176 |
+
|
| 177 |
+
Selling On Amazon Fee = Referral Fee + Closing Fee + Shipping Fee + Other Fee
|
| 178 |
+
|
| 179 |
+
REFERRAL FEES
|
| 180 |
+
|
| 181 |
+
Fee charged by Amazon.in as a percentage of the sales made by selling any product. It varies for different categories.
|
| 182 |
+
|
| 183 |
+
CLOSING FEES
|
| 184 |
+
|
| 185 |
+
Fee charged in addition to Referral Fee, based on your product price.
|
| 186 |
+
|
| 187 |
+
WEIGHT HANDLING FEES
|
| 188 |
+
|
| 189 |
+
Fee incurred for delivering your order through Easy Ship and FBA.
|
| 190 |
+
|
| 191 |
+
OTHER FEES
|
| 192 |
+
|
| 193 |
+
FBA fee to pick, pack, & store your orders.
|
| 194 |
+
|
| 195 |
+
### Fulfillment Fee Structure Comparison
|
| 196 |
+
|
| 197 |
+
### Fee Type
|
| 198 |
+
|
| 199 |
+
### Fulfillment by Amazon (FBA)Amazon.in stores, packs, and delivers
|
| 200 |
+
|
| 201 |
+
### Easy Ship (ES)You pack, Amazon.in picks and delivers
|
| 202 |
+
|
| 203 |
+
### Self-ShipYou pack and deliver
|
| 204 |
+
|
| 205 |
+

|
| 206 |
+
|
| 207 |
+
### Referral Fee
|
| 208 |
+
|
| 209 |
+
Starts from 2%; varies by category
|
| 210 |
+
|
| 211 |
+
Starts from 2%; varies by category
|
| 212 |
+
|
| 213 |
+
Starts from 2%; varies by category
|
| 214 |
+
|
| 215 |
+

|
| 216 |
+
|
| 217 |
+
### Closing Fee
|
| 218 |
+
|
| 219 |
+
Reduced closing fee for FBA; varies by product price range
|
| 220 |
+
|
| 221 |
+
Varies by product price range
|
| 222 |
+
|
| 223 |
+
Varies by product price range
|
| 224 |
+
|
| 225 |
+

|
| 226 |
+
|
| 227 |
+
### Shipping Fee
|
| 228 |
+
|
| 229 |
+
Reduced shipping fee for FBA; starts at Rs. 28 per item
|
| 230 |
+
|
| 231 |
+
Starts at Rs. 38 per item shipped; varies by item volume and distance
|
| 232 |
+
|
| 233 |
+
Cost you will incur for shipping your order through a 3rd party carrier of your choice
|
| 234 |
+
|
| 235 |
+

|
| 236 |
+
|
| 237 |
+
### Other Fee
|
| 238 |
+
|
| 239 |
+
Pick, pack, and storage fees
|
| 240 |
+
|
| 241 |
+
-
|
| 242 |
+
|
| 243 |
+
-
|
| 244 |
+
|
| 245 |
+
[Know More about Fulfillment by Amazon](https://sell.amazon.in/shipping-and-fulfillment/fulfillment-by-amazon)
|
| 246 |
+
|
| 247 |
+
[Know More about Easy Ship](https://sell.amazon.in/shipping-and-fulfillment/easy-ship)
|
| 248 |
+
|
| 249 |
+
[Read about fee and pricing in detail](https://sell.amazon.in/fees-and-pricing#calculating-profitability)
|
| 250 |
+
|
| 251 |
+
## Get to know Seller Central - Your Seller Portal
|
| 252 |
+
|
| 253 |
+
### What is Seller Central?
|
| 254 |
+
|
| 255 |
+
Once you register as an Amazon seller, you get access to your [Seller Central](https://sell.amazon.in/grow-your-business/tools/amazon-seller-central) dashboard. This is where you manage your entire business. From adding your first product to finding tools to grow a successful brand, you’ll find everything in here to run your business.
|
| 256 |
+
|
| 257 |
+
Below are a just few of the things you can do on Amazon Seller Central.
|
| 258 |
+
|
| 259 |
+
- Keep track of your inventory and update your listings from the Inventory tab
|
| 260 |
+
- Download custom business reports and bookmark templates you use often
|
| 261 |
+
- Use customer metrics tools to monitor your seller performance
|
| 262 |
+
- Contact Selling Partner Support and open help tickets using the Case Log
|
| 263 |
+
- Keep track of your daily sales for all the products you sell on Amazon
|
| 264 |
+
|
| 265 |
+

|
| 266 |
+
|
| 267 |
+
### Go Mobile with the Amazon Seller App
|
| 268 |
+
|
| 269 |
+

|
| 270 |
+
|
| 271 |
+
Use the [Amazon](https://sell.amazon.in/grow-your-business/tools/amazon-seller-app) [Seller](https://sell.amazon.in/grow-your-business/tools/amazon-seller-app) [App to access your seller account](https://sell.amazon.in/grow-your-business/tools/amazon-seller-app) on the go and manage your business from anywhere, anytime! Using the Amazon Seller App, you can -
|
| 272 |
+
|
| 273 |
+
- Create product listings and edit products photos
|
| 274 |
+
- Manage inventory and pricing
|
| 275 |
+
- Track fulfilment
|
| 276 |
+
- Track and analyze sales
|
| 277 |
+
|
| 278 |
+
[Learn More](https://sell.amazon.in/grow-your-business/tools/amazon-seller-app)
|
| 279 |
+
|
| 280 |
+
[](https://apps.apple.com/in/app/amazon-seller/id794141485?initialSessionID=261-6930706-6080630&ld=SDINSOA-BeginnersGuideSDDirect)
|
| 281 |
+
|
| 282 |
+
[](https://play.google.com/store/apps/details?id=com.amazon.sellermobile.android&initialSessionID=261-6930706-6080630&ld=SDINSOA-BeginnersGuideSDDirect)
|
| 283 |
+
|
| 284 |
+
### Don't have an Amazon seller account yet?
|
| 285 |
+
|
| 286 |
+
[Start Selling](https://sellercentral.amazon.in/gp/on-board/workflow/Registration/login.html?passthrough%2Faccount=soa&passthrough%2FsuperSource=OAR&ref_=sdin_soa_begguide&passthrough%2FmarketplaceID=A21TJRUUN4KGV&passthrough%2FinitialSessionID=261-6930706-6080630&passthrough%2Fld=SDINSOA-BeginnersGuideSDDirect_SDIN_Begiguide_mid)
|
| 287 |
+
|
| 288 |
+
## How to list your products on Amazon.in?
|
| 289 |
+
|
| 290 |
+
### Listing your first product
|
| 291 |
+
|
| 292 |
+
To start selling your product on Amazon.in you first need to list it on Amazon.in. You can provide your product information such as the product category, brand name, product features and specifications, product images, and price. All these details are available to your customer to help them purchase your product (as shown here).
|
| 293 |
+
|
| 294 |
+
Set up your product page to start selling. You can edit product details from the ‘Manage Inventory’ section of your Seller Central dashboard.
|
| 295 |
+
|
| 296 |
+

|
| 297 |
+
|
| 298 |
+
### **How to list a product on Amazon.in?**
|
| 299 |
+
|
| 300 |
+
To showcase your products on Amazon.in, you need to list them from your Seller Central account in one of the two ways:
|
| 301 |
+
|
| 302 |
+

|
| 303 |
+
|
| 304 |
+
(if the product is available on Amazon.in)
|
| 305 |
+
|
| 306 |
+
**Adding a new offer** by matching products with search or barcode scan
|
| 307 |
+
|
| 308 |
+

|
| 309 |
+
|
| 310 |
+
(for new products, not yet listed on Amazon)
|
| 311 |
+
|
| 312 |
+
**Create a new listing** by uploading product images and adding details & features
|
| 313 |
+
|
| 314 |
+
### Why do product details matter?
|
| 315 |
+
|
| 316 |
+
Customers compare different products before making a purchase and look at the product image, video, and specifications to decide if it suits their needs. Providing complete and accurate product details helps them buy your products, generating more sales.
|
| 317 |
+
|
| 318 |
+
Here are some of the details required for a new listing:
|
| 319 |
+
|
| 320 |
+

|
| 321 |
+
|
| 322 |
+

|
| 323 |
+
|
| 324 |
+
Colored image
|
| 325 |
+
|
| 326 |
+

|
| 327 |
+
|
| 328 |
+
Features should be clearly visible
|
| 329 |
+
|
| 330 |
+

|
| 331 |
+
|
| 332 |
+
Height & width should be 1000 pixels or larger to enable zooming
|
| 333 |
+
|
| 334 |
+

|
| 335 |
+
|
| 336 |
+
Images must not exceed 10,000 pixels on the longest side
|
| 337 |
+
|
| 338 |
+

|
| 339 |
+
|
| 340 |
+
Accepted formats - JPEG (.jpg), TIFF (.tif), preferred format - JPEG
|
| 341 |
+
|
| 342 |
+

|
| 343 |
+
|
| 344 |
+

|
| 345 |
+
|
| 346 |
+
Did you know:
|
| 347 |
+
|
| 348 |
+
While creating your product page, think about what customers come looking for. This will help you in putting down the relevant information for customers.
|
| 349 |
+
|
| 350 |
+
[Click here to get a list of products that are restricted from selling on Amazon.in](https://sellercentral.amazon.in/gp/help/external/200164330?tag=beginnersguide&initialSessionID=261-6930706-6080630&ld=SDINSOA-BeginnersGuideSDDirect_BeginnersGuideSD_Restricted)
|
| 351 |
+
|
| 352 |
+
The restricted products category includes items that cannot be sold on Amazon.in. Examples - Animals, weapons, narcotics drugs, etc.
|
| 353 |
+
|
| 354 |
+
## How to deliver products?
|
| 355 |
+
|
| 356 |
+
Fulfilling your orders includes storing inventory, packaging products, shipping, and delivering orders. Amazon.in has 3 different order fulfilling options:
|
| 357 |
+
|
| 358 |
+
### Fulfillment by Amazon (FBA)
|
| 359 |
+
|
| 360 |
+
When you join [FBA](https://sell.amazon.in/shipping-and-fulfillment/fulfillment-by-amazon), you send your products to the Amazon Fulfilment Center and Amazon takes care of the rest. Once an order is received, we will pack and deliver your products to the buyer as well as manage your customer queries.
|
| 361 |
+
|
| 362 |
+
Here are some of the benefits of using Fulfillment by Amazon:
|
| 363 |
+
|
| 364 |
+
- Offer unlimited free & fast deliveries to customers
|
| 365 |
+
- You store your products in Amazon.in’s Fulfillment Centers and we take care of the rest – picking, packing, & shipping
|
| 366 |
+
- Customer service & returns managed by Amazon.in
|
| 367 |
+
- Eligibility for Prime
|
| 368 |
+
|
| 369 |
+

|
| 370 |
+
|
| 371 |
+
#### How FBA works?
|
| 372 |
+
|
| 373 |
+

|
| 374 |
+
|
| 375 |
+
\*FC – Fulfillment Center
|
| 376 |
+
|
| 377 |
+
[Know More about Fulfillment by Amazon](https://sell.amazon.in/shipping-and-fulfillment/fulfillment-by-amazon)
|
| 378 |
+
|
| 379 |
+
### Easy Ship
|
| 380 |
+
|
| 381 |
+

|
| 382 |
+
|
| 383 |
+
[Amazon Easy Ship](https://sell.amazon.in/shipping-and-fulfillment/easy-ship) is an end-to-end delivery service for Amazon.in sellers. The packaged product is picked up by Amazon from the seller's location by an Amazon Logistics Delivery Associate and delivered to the buyers' location.
|
| 384 |
+
|
| 385 |
+
Here are some of the benefits of using Easy Ship:
|
| 386 |
+
|
| 387 |
+
- Fast and safe delivery of Amazon.in
|
| 388 |
+
- Control over your inventory. No storage cost
|
| 389 |
+
|
| 390 |
+
Customer service & returns managed by Amazon.in
|
| 391 |
+
Choose your own packaging
|
| 392 |
+
|
| 393 |
+
[Know More about Easy Ship](https://sell.amazon.in/shipping-and-fulfillment/easy-ship)
|
| 394 |
+
|
| 395 |
+

|
| 396 |
+
|
| 397 |
+
Tip Time
|
| 398 |
+
|
| 399 |
+
Become a Prime seller with FBA and increase your sales by up to 3X.
|
| 400 |
+
|
| 401 |
+
### Self Ship
|
| 402 |
+
|
| 403 |
+
Being an Amazon.in Seller, you can choose to store, pack, and deliver your products to the customer on your own by using a third-party carrier or your own delivery associates.
|
| 404 |
+
|
| 405 |
+
Here are some of the benefits of using Self Ship:
|
| 406 |
+
|
| 407 |
+
- Complete control on your business
|
| 408 |
+
- Use your own resources for operations
|
| 409 |
+
- Only closing & referral fee to be paid to Amazon.in
|
| 410 |
+
- Enable Prime badge in your area with Local Shops on Amazon and get discovered
|
| 411 |
+
|
| 412 |
+
[Know More about Local Shops on Amazon](/sell-online/local-shops-on-amazon)
|
| 413 |
+
|
| 414 |
+

|
| 415 |
+
|
| 416 |
+
### Don't have an Amazon seller account yet?
|
| 417 |
+
|
| 418 |
+
[Start Selling](https://sellercentral.amazon.in/gp/on-board/workflow/Registration/login.html?passthrough%2Faccount=soa&passthrough%2FsuperSource=OAR&ref_=sdin_soa_begguide&passthrough%2FmarketplaceID=A21TJRUUN4KGV&passthrough%2FinitialSessionID=261-6930706-6080630&passthrough%2Fld=SDINSOA-BeginnersGuideSDDirect_SDIN_Begiguide_mid2)
|
| 419 |
+
|
| 420 |
+
## You’ve made your first sale. What’s next?
|
| 421 |
+
|
| 422 |
+
Congratulations!
|
| 423 |
+
|
| 424 |
+
You made your first sale. The first thing you might expect is your payment. Your first Amazon.in payment! So exciting, right?
|
| 425 |
+
|
| 426 |
+
### Getting your payment
|
| 427 |
+
|
| 428 |
+

|
| 429 |
+
|
| 430 |
+
Payment generated through Automated Clearing House (ACH) or electronic transfer.
|
| 431 |
+
|
| 432 |
+

|
| 433 |
+
|
| 434 |
+
Payment is received within 5-7 business days.
|
| 435 |
+
|
| 436 |
+

|
| 437 |
+
|
| 438 |
+
Get payment reports and summary on the Seller Central.
|
| 439 |
+
|
| 440 |
+
### Performance metrics (and why they matter)
|
| 441 |
+
|
| 442 |
+
Amazon sellers operate at a high standard so we can provide a seamless, delightful shopping experience. We call it being customer-obsessed, and as an Amazon seller it means keeping an eye on these key metrics:
|
| 443 |
+
|
| 444 |
+
- Measure business performance through sales dashboard and reports.
|
| 445 |
+
- Ensure compliance with Amazon.in policies.
|
| 446 |
+
- Monitor product reviews through feedback manager.
|
| 447 |
+
- Use the voice of the customer to identify any highlighted product issue.
|
| 448 |
+
|
| 449 |
+
You can keep tabs on your performance on Seller Central and make sure you’re meeting your targets.
|
| 450 |
+
|
| 451 |
+

|
| 452 |
+
|
| 453 |
+
### Customer reviews
|
| 454 |
+
|
| 455 |
+
Customer product reviews are an integral part of the shopping experience on Amazon, and they benefit both customers and sellers. Make sure you’re familiar with the right way and wrong way to get more product reviews and avoid policy violations.
|
| 456 |
+
|
| 457 |
+

|
| 458 |
+
|
| 459 |
+

|
| 460 |
+
|
| 461 |
+
### Best Practices to Sell on Amazon.in
|
| 462 |
+
|
| 463 |
+
Becoming a great seller means knowing your marketplace inside out. Make sure you do not miss out on any important information that can make your business successful.
|
| 464 |
+
|
| 465 |
+
Here’s a checklist to keep in mind as you step into the Amazon.in selling world.
|
| 466 |
+
|
| 467 |
+

|
| 468 |
+
|
| 469 |
+
Great customer service is the most important part.
|
| 470 |
+
|
| 471 |
+

|
| 472 |
+
|
| 473 |
+
Check your account health timely
|
| 474 |
+
|
| 475 |
+

|
| 476 |
+
|
| 477 |
+
Join FBA to enjoy premium services for your business & offer a rich customer experience.
|
| 478 |
+
|
| 479 |
+

|
| 480 |
+
|
| 481 |
+
Use advertising tools to improve your brand presence.
|
| 482 |
+
|
| 483 |
+

|
| 484 |
+
|
| 485 |
+
Expand to other product categories to maximize your profits.
|
| 486 |
+
|
| 487 |
+

|
| 488 |
+
|
| 489 |
+
Take advantage of sale events with attractive pricing and offers to increase sales.
|
| 490 |
+
|
| 491 |
+

|
| 492 |
+
|
| 493 |
+
Use the Automate Pricing tool to set a competitive price and increase the chances of winning Offer Display.
|
| 494 |
+
|
| 495 |
+

|
| 496 |
+
|
| 497 |
+
Always, always listen to what customers say about your product.
|
| 498 |
+
|
| 499 |
+
### Don't have an Amazon seller account yet?
|
| 500 |
+
|
| 501 |
+
[Start Selling](https://sellercentral.amazon.in/gp/on-board/workflow/Registration/login.html?passthrough%2Faccount=soa&passthrough%2FsuperSource=OAR&ref_=sdin_soa_begguide&passthrough%2FmarketplaceID=A21TJRUUN4KGV&passthrough%2FinitialSessionID=261-6930706-6080630&passthrough%2Fld=SDINSOA-BeginnersGuideSDDirect_SDIN_Begiguide_mid3)
|
| 502 |
+
|
| 503 |
+
## Opportunities for business growth
|
| 504 |
+
|
| 505 |
+
### Fulfillment by Amazon
|
| 506 |
+
|
| 507 |
+
Register on Fulfillment by Amazon & increase sales by up to 3X.
|
| 508 |
+
|
| 509 |
+
[Know More about Fulfillment by Amazon](https://sell.amazon.in/shipping-and-fulfillment/fulfillment-by-amazon)
|
| 510 |
+
|
| 511 |
+
### Sponsored Products
|
| 512 |
+
|
| 513 |
+
Advertise with Sponsored Product and increase visibility on search results and product pages.
|
| 514 |
+
|
| 515 |
+
[Find out about advertising on Amazon](/grow-your-business/advertise)
|
| 516 |
+
|
| 517 |
+
### Set Limited Time Promotions
|
| 518 |
+
|
| 519 |
+

|
| 520 |
+
|
| 521 |
+
Coupons
|
| 522 |
+
|
| 523 |
+
Sponsored Products are ads for individual product listings on Amazon, so they help drive product visibility (and product sales). They appear on search results pages and product detail pages.
|
| 524 |
+
|
| 525 |
+

|
| 526 |
+
|
| 527 |
+
Lightning Deals
|
| 528 |
+
|
| 529 |
+
Sponsored Brands showcase your brand and product portfolio. They’re search-result ads that feature your brand logo, a custom headline, and up to three of your products.
|
| 530 |
+
|
| 531 |
+

|
| 532 |
+
|
| 533 |
+
No Cost EMI
|
| 534 |
+
|
| 535 |
+
Stores are custom multipage shopping destinations for individual brands that let you share your brand story and product offerings. (And you don’t need any website experience to use them.)
|
| 536 |
+
|
| 537 |
+
### Manage your business
|
| 538 |
+
|
| 539 |
+

|
| 540 |
+
|
| 541 |
+
Automate Pricing
|
| 542 |
+
|
| 543 |
+
Increase your chances of winning the Offer Display.
|
| 544 |
+
|
| 545 |
+

|
| 546 |
+
|
| 547 |
+
Voice of Customer
|
| 548 |
+
|
| 549 |
+
Monitor feedback through customer service calls, returns, reviews, etc.
|
| 550 |
+
|
| 551 |
+

|
| 552 |
+
|
| 553 |
+
Product listing
|
| 554 |
+
|
| 555 |
+
List recommended products based on customer demand, seasonality etc.
|
| 556 |
+
|
| 557 |
+
### Services to grow
|
| 558 |
+
|
| 559 |
+

|
| 560 |
+
|
| 561 |
+
Account Management
|
| 562 |
+
|
| 563 |
+
All newly launched sellers are eligible for free Account Management service.
|
| 564 |
+
|
| 565 |
+

|
| 566 |
+
|
| 567 |
+
Service provider network
|
| 568 |
+
|
| 569 |
+
Get paid assistance from qualified 3rd party service providers to help you with professional product photoshoots, order fulfillment, and much more.
|
| 570 |
+
|
| 571 |
+

|
| 572 |
+
|
| 573 |
+
Did you know:
|
| 574 |
+
|
| 575 |
+
Sellers who have used programs/products of Amazon.in have grown their business by up to 10X.
|
| 576 |
+
|
| 577 |
+
## Amazon STEP Program
|
| 578 |
+
|
| 579 |
+
To help you grow at a faster pace and in the right direction, Amazon.in has launched the STEP program. The program is designed for your stepwise growth through performance tracking and recommendations.
|
| 580 |
+
|
| 581 |
+
### How does STEP work?
|
| 582 |
+
|
| 583 |
+

|
| 584 |
+
|
| 585 |
+
It is a performance-based benefits program. Amazon.in provides you with customized and actionable recommendations that can help you improve your key customer experience
|
| 586 |
+
|
| 587 |
+
metrics and your growth.
|
| 588 |
+
|
| 589 |
+

|
| 590 |
+
|
| 591 |
+
The STEP program has different levels, starting from ‘Basic’ and goes on to ‘Standard’, ‘Advanced’, ‘Premium’ & higher levels, as your performance improves.
|
| 592 |
+
|
| 593 |
+

|
| 594 |
+
|
| 595 |
+
With each new level, you get access to various benefits.
|
| 596 |
+
|
| 597 |
+
### Benefits of STEP
|
| 598 |
+
|
| 599 |
+

|
| 600 |
+
|
| 601 |
+
### Performance tracking
|
| 602 |
+
|
| 603 |
+
Track your performance on-the-go to speed up your growth.
|
| 604 |
+
|
| 605 |
+

|
| 606 |
+
|
| 607 |
+
### Unlock benefits
|
| 608 |
+
|
| 609 |
+
Get your hands on various benefits like weight handling & lightning deal fee waivers, faster disbursement cycles, priority seller support, free account management and more.
|
| 610 |
+
|
| 611 |
+

|
| 612 |
+
|
| 613 |
+
### Get recommendations
|
| 614 |
+
|
| 615 |
+
Personalized and actionable recommendations for your business for continuous improvement and growth.
|
| 616 |
+
|
| 617 |
+
## Help is just a click away!
|
| 618 |
+
|
| 619 |
+

|
| 620 |
+
|
| 621 |
+
### Get Support
|
| 622 |
+
|
| 623 |
+
If you are stuck somewhere during the registration process, you can seek help from Amazon.in's quick guide.
|
| 624 |
+
|
| 625 |
+
Just choose your issue from the list and get a detailed answer to speed up your launch process.
|
| 626 |
+
|
| 627 |
+
[Learn More](https://sell.amazon.in/sell-online/seller-registration-guide?)
|
| 628 |
+
|
| 629 |
+

|
| 630 |
+
|
| 631 |
+
### Support on Facebook
|
| 632 |
+
|
| 633 |
+
To get more help on selling on Amazon.in, join a Facebook group for sellers on Amazon.in to share information, tips, experiences, and best practices with each other. It notifies you about new products and services to help grow your business.
|
| 634 |
+
|
| 635 |
+
[Get Support](https://www.facebook.com/groups/Amazon.India.Sellers/?initialSessionID=261-6930706-6080630&ld=SDINSOA-BeginnersGuideSDDirect)
|
| 636 |
+
|
| 637 |
+

|
| 638 |
+
|
| 639 |
+
### Learn from Seller University
|
| 640 |
+
|
| 641 |
+
Learn A to Z of Amazon.in selling on the Seller University. Find everything you need in detail through the online and offline classes. Attend your classes in your regional languages and record your sessions to catch up later.
|
| 642 |
+
|
| 643 |
+
[Learn More](/learn/seller-university)
|
| 644 |
+
|
| 645 |
+

|
| 646 |
+
|
| 647 |
+
### Service Provider Network (SPN)
|
| 648 |
+
|
| 649 |
+
To offer more expert help for your business, Amazon.in has established a network of third-party service providers. It's a paid assistance service with over 800 service providers to help you with professional product photoshoots, order fulfillment, and much more.
|
| 650 |
+
|
| 651 |
+
[Find out more](/grow-your-business/service-provider-network)
|
| 652 |
+
|
| 653 |
+
## Some Frequently Asked Questions (FAQs) by Sellers
|
| 654 |
+
|
| 655 |
+
How to register as an Amazon.in seller?
|
| 656 |
+
|
| 657 |
+
If you already have an Amazon.in customer account, you can sign in with this Email Id / Phone No. and enter your customer account password to begin selling with the same account.
|
| 658 |
+
|
| 659 |
+
You can also choose to create a separate seller account with a different email address, phone number and begin registration.
|
| 660 |
+
|
| 661 |
+
[Click here to register as an Amazon Seller](https://sellercentral.amazon.in/gp/on-board/workflow/Registration/login.html?passthrough%2Faccount=soa&passthrough%2FsuperSource=OAR&ref_=sdin_soa_beguide&passthrough%2FmarketplaceID=A21TJRUUN4KGV&passthrough%2FinitialSessionID=261-6930706-6080630&passthrough%2Fld=SDINSOA-BeginnersGuideSDDirect_SDIN_Begguide_7faq)
|
| 662 |
+
|
| 663 |
+
How do I manage orders and returns?
|
| 664 |
+
|
| 665 |
+
Go to ‘Manage Order’ on the Seller Central page. Track all your shipments status, shipping service, payment mode here & keep yourself updated to avoid any mismanagement.
|
| 666 |
+
|
| 667 |
+
To manage returns, go to ‘Return Reports’ under the Reports section. Track your return shipments and refunds. Or you can join FBA for a hassle-free experience.
|
| 668 |
+
|
| 669 |
+
How do I make products more visible?
|
| 670 |
+
|
| 671 |
+
You can get more visibility to your products by:
|
| 672 |
+
|
| 673 |
+
- Using relevant keywords - Include keywords in your product title that people type in while searching to get on their top search list.
|
| 674 |
+
- Advertising - Activate Sponsored Product ads to make your product appear at multiple places.
|
| 675 |
+
|
| 676 |
+
How do I make sure my customers don’t buy a fake or counterfeit product?
|
| 677 |
+
|
| 678 |
+
Amazon.in has initiated a Transparency Program to identify fake products. All you need to do is register in the program and get Transparency codes for your products.
|
| 679 |
+
|
| 680 |
+
What is the Offer Display?
|
| 681 |
+
|
| 682 |
+
Offer Display is the box on the right side of an Amazon.in product, from where a customer can buy or add it to their cart. Since there can be multiple sellers selling the same product category, the Offer Display goes to one seller only, for which they need to compete on certain parameters and win.
|
| 683 |
+
|
| 684 |
+
More on selling on Amazon.in:
|
| 685 |
+
|
| 686 |
+
[How to register as a seller](https://sell.amazon.in/sell-online/seller-registration-guide)
|
| 687 |
+
|
| 688 |
+
[Benefits of selling on Amazon.in](https://sell.amazon.in/sell-online/why-sell-on-amazon)
|
| 689 |
+
|
| 690 |
+
[Offers for sellers](https://sell.amazon.in/sell-online/offers-for-sellers?)
|
| 691 |
+
|
| 692 |
+
[Listing a product on Amazon.in](https://amazon.https://sell.amazon.in/sell-online/list-your-products?initialSessionID=261-6930706-6080630&ld=SDINSOA-BeginnersGuideSDDirect)
|
| 693 |
+
|
| 694 |
+
### Start selling today
|
| 695 |
+
|
| 696 |
+
Put your products in front of the crores of customers who search Amazon.in every day.
|
| 697 |
+
|
| 698 |
+
[Start Selling](https://sellercentral.amazon.in/seller/onboarding?passthrough%2Faccount=soa&passthrough%2FsuperSource=OAR&ref_=sdin_soa_nav&passthrough%2FmarketplaceID=A21TJRUUN4KGV&productTier=SILVER&productType=SellOnAmazon&marketplaceId=A21TJRUUN4KGV&passthrough%2FinitialSessionID=261-6930706-6080630&passthrough%2Fld=SDINSOA-BeginnersGuideSDDirect_SDIN_Begiguide_footer)
|
| 699 |
+
|
| 700 |
+
Disclaimer
|
| 701 |
+
|
| 702 |
+
\*Selling fee here refers to referral fee.
|
| 703 |
+
|
| 704 |
+
\*\*This change in referral fee is applicable for select categories and for products falling under the Average Selling Price Band of INR 0-500.
|
| 705 |
+
|
| 706 |
+
Amazon Seller Services Private Limited ("Amazon") reserves the right to determine, in its sole and absolute discretion, the selling fees payable on each product category listed and sold on the marketplace www.amazon.in. Amazon further reserves the right to modify/ reduce/ increase the selling fees including the referral fees being charged by Amazon on the different categories of products. Amazon hereby disclaims any and all liability and assumes no responsibility whatsoever for consequences resulting from use of the above information. Amazon shall in no event be liable for any special, direct, indirect, consequential or incidental damages (including but not limited to damages for loss of business profits, business interruption, loss of business information, and the like) arising out of the use of the above information.
|
| 707 |
+
|
| 708 |
+
**Popular Products to Sell Online** [Sell Books Online](https://sell.amazon.in/sell-online/product-categories/books) \| [Sell Art Online](https://sell.amazon.in/seller-blog/sell-art-online) \| [Sell Handmade Products Online](https://sell.amazon.in/seller-blog/sell-handmade-products-online-on-amazon) \| [Sell Clothes Online](https://sell.amazon.in/sell-online/product-categories/clothes) \| [Sell Grocery Online](https://sell.amazon.in/sell-online/product-categories/grocery) \| [Sell Home Products Online](https://sell.amazon.in/sell-online/product-categories/home-products) \| [Sell Beauty Products Online](https://sell.amazon.in/sell-online/product-categories/beauty-products) \| [Sell Watches Online](https://sell.amazon.in/sell-online/product-categories/watches) \| [Sell Kitchenware Products Online](https://sell.amazon.in/sell-online/product-categories/kitchenware) \| [Sell Tea Online](https://sell.amazon.in/sell-online/product-categories/tea) \| [Sell Furniture Online](https://sell.amazon.in/sell-online/product-categories/furniture) \| [Sell Headphones Online](https://sell.amazon.in/sell-online/product-categories/headphones) \| [Sell Toys Online](https://sell.amazon.in/sell-online/product-categories/toys) \| [Sell Shoes Online](https://sell.amazon.in/sell-online/product-categories/shoes)
|
| 709 |
+
|
| 710 |
+
**Blogs for Online Sellers** [6 Budget Friendly Business Ideas to Start your Online Business](https://sell.amazon.in/seller-blog/pocket-friendly-ideas-for-online-business) \| [Starting an Online Business in India - Things you may Keep in Mind](https://sell.amazon.in/seller-blog/things-to-keep-in-mind-while-starting-an-online-business) \| [What is Ecommerce?](https://sell.amazon.in/seller-blog/what-is-ecommerce) \| [How to Start your E-commerce Business](https://sell.amazon.in/seller-blog/start-your-e-commerce-business) \| [Benefits of Starting an E-commerce Business](https://sell.amazon.in/seller-blog/benefits-of-starting-your-e-commerce-business) \| [Amazon Online Business Ideas](https://sell.amazon.in/seller-blog/amazon-business-ideas) \| [Empowering Entrepreneurship: Business Ideas for Women](https://sell.amazon.in/seller-blog/business-ideas-for-women) \| [How to start an E-commerce Business in India with Minimal Investments!](https://sell.amazon.in/seller-blog/starting-an-ecommerce-business-with-minimal-investment) \| [Building Side Business Ideas to Earn Money](https://sell.amazon.in/seller-blog/best-ideas-for-starting-a-side-business-in-india-and-earn-the-extra-money) \| [How to start your own Business](https://sell.amazon.in/seller-blog/how-to-start-your-own-business)
|
| 711 |
+
|
| 712 |
+
[](/?ref_=sdin_soa_home_f)
|
| 713 |
+
|
| 714 |
+
[Sitemap](/sitemap)
|
| 715 |
+
|
| 716 |
+
[Confidentiality Policy](/standards/confidentiality-policy)
|
| 717 |
+
|
| 718 |
+
[Terms of Use](/standards/terms-of-use)
|
| 719 |
+
|
| 720 |
+
[Cookies](/standards/cookies)
|
| 721 |
+
|
| 722 |
+
© 2024 Amazon.com, Inc. or its affiliates. All rights reserved
|
| 723 |
+
|
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|
|
| 1 |
+
URL: https://advertising.amazon.com/library/guides/buyer-persona
|
| 2 |
+
Content:
|
| 3 |
+

|
| 4 |
+
|
| 5 |
+
Guide
|
| 6 |
+
|
| 7 |
+
# What is a buyer persona?
|
| 8 |
+
|
| 9 |
+
## Definition, examples, and how to a buyer persona step-by-step
|
| 10 |
+
|
| 11 |
+
A buyer persona is a detailed description of your target audience or ideal customer based on detailed analysis and insights. Buyer personas are important because they can help you develop tailored marketing strategies to meet the wants and needs of your customers.
|
| 12 |
+
|
| 13 |
+
[](https://advertising.amazon.com/register?ref_=a20m_us_lbr_gd_byrpsna_rgstr_4b)
|
| 14 |
+
|
| 15 |
+
[Register to advertise](https://advertising.amazon.com/register?ref_=a20m_us_lbr_gd_byrpsna_rgstr_4b)
|
| 16 |
+
|
| 17 |
+
Start using Amazon Ads to display your products and create campaigns.
|
| 18 |
+
|
| 19 |
+
[](https://advertising.amazon.com/contact-sales?ref_=a20m_us_lbr_gd_byrpsna_cntct_4b)
|
| 20 |
+
|
| 21 |
+
[Contact us](https://advertising.amazon.com/contact-sales?ref_=a20m_us_lbr_gd_byrpsna_cntct_4b)
|
| 22 |
+
|
| 23 |
+
If you have limited experience, contact us to request services managed by Amazon Ads. Budget minimums apply.
|
| 24 |
+
|
| 25 |
+
[](https://advertising.amazon.com/solutions/products/sponsored-products?ref_=a20m_us_lbr_gd_byrpsna_p_sp_4b)
|
| 26 |
+
|
| 27 |
+
[Sponsored Products](https://advertising.amazon.com/solutions/products/sponsored-products?ref_=a20m_us_lbr_gd_byrpsna_p_sp_4b)
|
| 28 |
+
|
| 29 |
+
Create cost-per-click ads to help customers find your products on Amazon.
|
| 30 |
+
|
| 31 |
+
[](https://advertising.amazon.com/solutions/products/amazon-marketing-cloud?ref_=a20m_us_lbr_gd_byrpsna_p_amc_4b)
|
| 32 |
+
|
| 33 |
+
[Amazon Marketing Cloud](https://advertising.amazon.com/solutions/products/amazon-marketing-cloud?ref_=a20m_us_lbr_gd_byrpsna_p_amc_4b)
|
| 34 |
+
|
| 35 |
+
Amazon Marketing Cloud (AMC) provides you with campaign measurement, analysis, and optimization.
|
| 36 |
+
|
| 37 |
+
**Jump to:**
|
| 38 |
+
|
| 39 |
+
[What is a buyer persona?](#a1)
|
| 40 |
+
|
| 41 |
+
[Why is a buyer persona important?](#a2)
|
| 42 |
+
|
| 43 |
+
[Types of buyer personas](#a3)
|
| 44 |
+
|
| 45 |
+
[How do you create a buyer persona?](#a4)
|
| 46 |
+
|
| 47 |
+
[Examples of buyer personas](#a5)
|
| 48 |
+
|
| 49 |
+
## What is a buyer persona?
|
| 50 |
+
|
| 51 |
+
A buyer persona is a fictitious representation of your customer segments typically grounded in first- or third-party customer insights. Buyer personas can help you imagine the wants, needs, behaviors, and values of your customers. By creating buyer personas and using them as the catalyst for your advertising campaigns, you put your customers first.
|
| 52 |
+
|
| 53 |
+
Buyer personas are also known as marketing personas, customer personas, or audience personas.
|
| 54 |
+
|
| 55 |
+

|
| 56 |
+
|
| 57 |
+
## What is a buyer persona?
|
| 58 |
+
|
| 59 |
+
A buyer persona is a fictitious representation of your customer segments typically grounded in first- or third-party customer insights. Buyer personas can help you imagine the wants, needs, behaviors, and values of your customers. By creating buyer personas and using them as the catalyst for your advertising campaigns, you put your customers first.
|
| 60 |
+
|
| 61 |
+
Buyer personas are also known as marketing personas, customer personas, or audience personas.
|
| 62 |
+
|
| 63 |
+
## Why is a buyer persona important?
|
| 64 |
+
|
| 65 |
+
A buyer persona is an important part of your [marketing strategy](https://advertising.amazon.com/library/guides/marketing-strategy?ref_=a20m_us_lbr_gd_byrpsna_gd_mktsty). By thinking about your audience personas, you can then start planning your [customer journey map](https://advertising.amazon.com/library/guides/customer-journey-map?ref_=a20m_us_lbr_gd_byrpsna_gd_cusmp), which details the complete shopping timeline from beginning to end. A key component of the map is the audience personas, and attributes and interests that those personas represent, and then, from there, using those signals and insights to inform the potential for expansion of your business.
|
| 66 |
+
|
| 67 |
+
Creating buyer personas can also be useful for your brand’s storytelling, helping outline the path to purchase on the customer journey. As part of your [inbound marketing](https://advertising.amazon.com/library/guides/inbound-marketing/?ref_=a20m_us_lbr_gd_byrpsna_gd_mktginbd) strategy, buyer personas can be necessary to help determine, for example, where you need to [raise brand awareness](https://advertising.amazon.com/library/guides/brand-awareness/?ref_=a20m_us_lbr_gd_byrpsna_gd_brdaw) or scale prioritization. Buyer personas can also help develop more [personalized, tailored advertising strategies](https://advertising.amazon.com/library/guides/tailored-marketing) to meet the specific demands of your customers.
|
| 68 |
+
|
| 69 |
+
## Types of buyer personas
|
| 70 |
+
|
| 71 |
+
There’s no one right answer to how many buyer personas a company should have, or even how many different types of buyer personas exist. Different brands and companies will have different answers to these questions. However, there are several components to consider including in your buyer persona profiles. [Audience segmentation](https://advertising.amazon.com/library/guides/market-segmentation/?ref_=a20m_us_lbr_gd_byrpsna_gd_mktsgm) is the organization of various types of audiences into segments, to better reach them with relevant campaigns.
|
| 72 |
+
|
| 73 |
+
There are four types of audience segmentation:
|
| 74 |
+
|
| 75 |
+
- **Demographic segmentation** reaches audiences based on identifying characteristics such as age, gender, or education level.
|
| 76 |
+
- **Geographic segmentation** organizes audiences based on their localities (e.g., a US-based audience).
|
| 77 |
+
- **Psychographic segmentation** considers the needs or wants of customers.
|
| 78 |
+
- **Behavioral segmentation** focuses on shopping behaviors.
|
| 79 |
+
|
| 80 |
+
By considering these four components, you can create a robust definition of your buyer personas.
|
| 81 |
+
|
| 82 |
+
Additionally, you could categorize your buyer personas by industry, if your brand encompasses more than one. For example, a brand [marketing both beauty](https://advertising.amazon.com/solutions/industries/beauty?ref_=a20m_us_lbr_gd_byrpsna_ind_bty) and [fashion products](https://advertising.amazon.com/solutions/industries/fashion-marketing?ref_=a20m_us_lbr_gd_byrpsna_ind_fshn) could create separate personas for each.
|
| 83 |
+
|
| 84 |
+
Finally, there are also negative buyer personas, which represent an audience with attributes such as being unlikely to engage with your brand or make purchases.
|
| 85 |
+
|
| 86 |
+
## How do you create a buyer persona?
|
| 87 |
+
|
| 88 |
+
Once you are clear on the components and criteria for creating a buyer persona, you can begin making your own. Filling out your buyer persona template by using your existing customer insights is an easy way to get started. You can also get as detailed or as general as you want. For example, buyer personas could include a fictional name and job title for a single character, like John Smith the engineer. Or, your buyer persona could be a broader group of your ideal customers, like millennials looking to go on vacation. Regardless, here are the four steps to formulating your buyer personas.
|
| 89 |
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|
| 90 |
+

|
| 91 |
+
|
| 92 |
+
### Step 1: Review feedback from customers
|
| 93 |
+
|
| 94 |
+
Considering your current audience is a great place to start. Any insights you have from eligible audience surveys or product/service reviews can help provide some basic insights for outlining your buyer personas and which pain points you could resolve. Consider what your ideal customers would look like, and if that’s not who you’re already reaching, what could you do to help change that? For example, you could create educational campaigns to provide information on your product development, or use promotions to help reach potential customers.
|
| 95 |
+
|
| 96 |
+

|
| 97 |
+
|
| 98 |
+
### Step 2: Consider the values and motivations of customers
|
| 99 |
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|
| 100 |
+
It also is crucial to consider the potential driving forces for the shopping behaviors of your customers. How do your [brand values](https://advertising.amazon.com/library/guides/brand-values?ref_=a20m_us_lbr_gd_byrpsna_gd_brndvls) align with those of your customers, and how could you better communicate that through marketing messages? For example, [sustainable marketing](https://advertising.amazon.com/blog/sustainable-marketing/?ref_=a20m_us_lbr_gd_byrpsna_blg_unbxd_sustnble) is very important to consumers. According to a study by Environics Research and Amazon Ads, over 70% of consumers in the US and Europe said they’re [tired of brands acting like they’re exempt from environmental responsibility](https://advertising.amazon.com/library/guides/customer-values/?ref_=a20m_us_lbr_gd_byrpsna_gd_cusval).1
|
| 101 |
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|
| 102 |
+

|
| 103 |
+
|
| 104 |
+
### Step 3: Define high-value audiences
|
| 105 |
+
|
| 106 |
+
Next, consider the ways you could measure your buyer personas. For example, high-value audiences could encompass repeat visitors or people who make multiple purchases. If there are recurring wants, needs, or pain points of these customers, make sure they are addressed. The goal of buyer personas is to help you be efficient with your advertising and spending.
|
| 107 |
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|
| 108 |
+

|
| 109 |
+
|
| 110 |
+
### Step 4: Create your campaign
|
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|
| 112 |
+
When you create your marketing campaigns, consider creating campaigns that are relevant and engaging to your audiences. Amazon Ads can help you [reach audiences with meaningful messages](https://advertising.amazon.com/library/research/messages-that-matter?ref_=a20m_us_lbr_gd_byrpsna_cmprg_mtm). By considering buyer personas, you can then begin crafting campaigns that will better speak to your audiences where they are already consuming content, whether that’s via streaming video, on social media, or while browsing products.
|
| 113 |
+
|
| 114 |
+
## Examples of buyer personas
|
| 115 |
+
|
| 116 |
+
Here are three examples of specific buyer personas and their shopping habits, and how they could potentially differ from other personas.
|
| 117 |
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|
| 118 |
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**Case Study**
|
| 119 |
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|
| 120 |
+
[Toy-buying consumer insights](https://advertising.amazon.com/library/research/purchase-journey-toy-shoppers-canada-2022/?ref_=a20m_us_lbr_gd_byrpsna_rsh_toyhbts)
|
| 121 |
+
|
| 122 |
+
Amazon Ads and Kantar surveyed 1,000 shoppers on [Amazon.ca](https://www.amazon.ca/?ref_=a20m_us_lbr_gd_byrpsna_ca) to provide insights into Canadian toy customers, which could be an example of a buyer persona. The study found that 92% of buyers shop for toys that encourage creativity, and 82% favor toys that encourage outside play and physical activity.2
|
| 123 |
+
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| 124 |
+

|
| 125 |
+
|
| 126 |
+
**Case Study**
|
| 127 |
+
|
| 128 |
+
[Consumer buying insights for small kitchen appliances](https://advertising.amazon.com/library/research/purchase-journey-small-kitchen-appliance-uk-2022/?ref_=a20m_us_lbr_gd_byrpsna_rsh_smllktchn)
|
| 129 |
+
|
| 130 |
+
A UK survey from Amazon Ads and Kantar looked into the shopping habits of small-kitchen-appliance customers. The survey found that 56% who visited Amazon.co.uk discovered a new brand or product.3
|
| 131 |
+
|
| 132 |
+

|
| 133 |
+
|
| 134 |
+
**Case Study**
|
| 135 |
+
|
| 136 |
+
[How brands can better understand US luxury fashion shoppers](https://advertising.amazon.com/blog/luxury-marketing?ref_=a20m_us_lbr_gd_byrpsna_blg_lxryfsh)
|
| 137 |
+
|
| 138 |
+
A 2022 Amazon Ads and Vogue Business survey of US luxury consumers showed how brands can better understand shoppers’ needs. For example, the survey found that the majority (84%) of millennial male shoppers surveyed watch content through streaming services and are more likely to engage with digital touchpoints throughout their shopping journeys. Millennial men are also 1.3x more likely for their purchases to be informed by advertising seen on [streaming TV](https://advertising.amazon.com/solutions/products/video-ads?ref_=a20m_us_lbr_gd_byrpsna_p_va#01) services, compared to luxury shoppers overall.
|
| 139 |
+
|
| 140 |
+

|
| 141 |
+
|
| 142 |
+
## Using buyer personas
|
| 143 |
+
|
| 144 |
+
Buyer personas can be used to better understand your audience, inform your ad campaigns, and personalize your brand messaging. Once you have insights into your various personas, you can craft campaigns that will organically appeal to different personas and help optimize your marketing efforts. The better you understand your audience, the better you can serve them information and advertising that could appeal to them. Ultimately, creating buyer personas can help your brand and products be more relevant and useful to your customers.
|
| 145 |
+
|
| 146 |
+
[Register for Amazon Ads](https://advertising.amazon.com/register?ref_=a20m_us_lbr_gd_byrpsna_rgstr_bop)
|
| 147 |
+
|
| 148 |
+
[See more ways Amazon Ads can help your brand engage audiences in the places they love to be](https://advertising.amazon.com/reaching-audiences?ref_=a20m_us_lbr_gd_byrpsna_cmprg_rae)
|
| 149 |
+
|
| 150 |
+
_1_ _Amazon Ads and Environics Research, “Social Values Global Consumer Themes,” US, UK, ES, FR, DE, IT, 2021_ _2_ _Amazon Ads and Kantar, Toys P2P survey, CA, 2021_ _3_ _Amazon Ads and Kantar, Small kitchen appliances P2P survey, UK, 2021_
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Related content
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[\\
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\\
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+
Case study\\
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| 157 |
+
\\
|
| 158 |
+
Using interactive audio ads to increase branded searches](https://advertising.amazon.com/library/case-studies/sony-interactive-audio-ads/?ref_=a20m_us_lbr_gd_rfy_1_lbr_cs) [\\
|
| 159 |
+
\\
|
| 160 |
+
Case study\\
|
| 161 |
+
\\
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| 162 |
+
How a small home goods brand grew their business by 350%](https://advertising.amazon.com/library/case-studies/kazi/?ref_=a20m_us_lbr_gd_rfy_2_lbr_cs) [\\
|
| 163 |
+
\\
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| 164 |
+
Case study\\
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| 165 |
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\\
|
| 166 |
+
Amazon Ads specialists help ClearSpace drive brand growth](https://advertising.amazon.com/library/case-studies/clearspace-increase-ad-sales/?ref_=a20m_us_lbr_gd_rfy_3_lbr_cs)
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**Was this article helpful?**
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Help us improve by sharing your feedback.
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**Thank you**
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Have more to share? We love to hear your feedback.
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+
- [Facebook](https://www.facebook.com/sharer/sharer.php?u=https://advertising.amazon.com/library/guides/buyer-persona?ref_=a20m_us_blg_fb "Share on Facebook")
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- [twitter](https://twitter.com/home?status=What%20is%20a%20buyer%20persona?%20%7C%20Amazon%20Ads:%20Solutions%20to%20find,%20attract,%20and%20engage%20customers%20https://advertising.amazon.com/library/guides/buyer-persona?ref_=a20m_us_blg_tw "Share on Twitter")
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- [LinkedIn](https://www.linkedin.com/shareArticle?mini=true&title=Amazon%20Ads:%20Solutions%20to%20find,%20attract,%20and%20engage%20customers&summary=Amazon%20Ads:%20Ad%20solutions%20to%20find,%20attract,%20and%20engage%20customers%20throughout%20their%20journey&source=&url=https://advertising.amazon.com/library/guides/buyer-persona?ref_=a20m_us_blg_ln "Share on LinkedIn")
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- [Email](mailto:?subject=What%20is%20a%20buyer%20persona?%20from%20Amazon%20Ads&body=Learn%20more%20about%20Amazon%20Ads:%20Ad%20solutions%20to%20find,%20attract,%20and%20engage%20customers%20throughout%20their%20journey%20https://advertising.amazon.com/library/guides/buyer-persona?ref_=a20m_us_blg_em "Share on Email")
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| 1 |
+
URL: https://www.start.io/blog/amazon-target-market-customer-segmentation/
|
| 2 |
+
Content:
|
| 3 |
+

|
| 4 |
+
|
| 5 |
+
Take an imaginary trip back to 1995, and Amazon was a brand new internet-based bookseller, a revolutionary concept attempting to challenge the likes of Barnes & Noble for market share.
|
| 6 |
+
|
| 7 |
+
Today, Amazon is an online shopping juggernaut, whose founder Jeff Bezos is currently the third richest person in the world. In a similar vein to Tesla’s Elon Musk, the sky is not even the limit. Bezos isn’t content with ruling e-commerce; he is part of the world’s first privately funded space race, developing and building rockets to the moon.
|
| 8 |
+
|
| 9 |
+
It’s no wonder he has the time and resources for that. **Annual net sales for Amazon worldwide in 2021 reached over $450 billion**, with the lion’s share ($314 billion) coming from the US alone.
|
| 10 |
+
|
| 11 |
+

|
| 12 |
+
|
| 13 |
+
[Source – Statista](https://www.statista.com/statistics/672782/net-sales-of-amazon-leading-markets/)
|
| 14 |
+
|
| 15 |
+
**Amazon is the world’s third largest online marketplace by global merchandise value, after the Chinese-owned Taobao and Tmall e-commerce sites**. And Amazon websites are the [fifth most visited multi-platform internet properties in the US](https://www.statista.com/statistics/271412/most-visited-us-web-properties-based-on-number-of-visitors/) in 2022, after Google, Microsoft, Yahoo and Facebook.
|
| 16 |
+
|
| 17 |
+
When you consider that Amazon is the only name on this list that is pure e-commerce, it only points to the unmatched strength and power of the brand among the Amazon target market.
|
| 18 |
+
|
| 19 |
+
Need more proof? Amazon is the fourth tech company in the world to ever reach a [market cap of $1 trillion](https://www.businessofapps.com/data/amazon-statistics/), and it is still steadily growing.
|
| 20 |
+
|
| 21 |
+
So what audience does Amazon target? Who is Amazon’s target audience that is driving these numbers? What are Amazon customer demographics and how do they compare to other big retailer brands, such as Target, eBay and Walmart?
|
| 22 |
+
|
| 23 |
+
Let’s drill down with an Amazon brand analysis for a glimpse of the overall picture.
|
| 24 |
+
|
| 25 |
+
## \#\# Want to learn more?
|
| 26 |
+
|
| 27 |
+
## Who is Amazon’s Target Audience?
|
| 28 |
+
|
| 29 |
+
Like the company itself, Amazon demographics segmentation is vast and global. **The Amazon target customer segment is located worldwide, with the average age of 37, split equally male and female.**
|
| 30 |
+
|
| 31 |
+
Thanks to its famously convenient shipping services, Amazon customer segmentation can be found in both urban and rural locations, with nearly 80% of Amazon users saying that fast and free shipping is their main reason for purchasing.
|
| 32 |
+
|
| 33 |
+
Amazon Prime, the brand’s member club, is a big driver of loyalty and repeat business, with over 200 million members worldwide spending an average $1400 each year.
|
| 34 |
+
|
| 35 |
+
## Amazon Target Market Segmentation – Customer Segment
|
| 36 |
+
|
| 37 |
+
The sheer size of the Amazon target audience – hundreds of millions of consumers! – makes an Amazon [demographic audience analysis](https://www.start.io/blog/demographic-audience-analysis-finding-the-right-audience-to-meet-your-business-goals/) complex and multi-layered. To understand who are Amazon’s customers, it’s helpful to dive a little deeper into Amazon customer segmentation from four standpoints: demographic, geographic, behavioral and psychographic segmentation.
|
| 38 |
+
|
| 39 |
+
### Amazon Demographic Segmentation
|
| 40 |
+
|
| 41 |
+
Amazon age demographics include adults aged 18 to 60, with [45% in the 35-49 year-old age group](https://blog.iotechnologies.com/as-amazon/).
|
| 42 |
+
|
| 43 |
+
While Amazon customers are single, young married, married with children or retired, there is a **strong demographic focus on middle-age families across all socio-economic strata, with an average annual household income of nearly $85,000**.
|
| 44 |
+
|
| 45 |
+
Amazon Prime customer demographics continue to be a growth engine, particularly in the US where it offers the most benefits. In 2022, there is expected to be over 76.6 million households in the US with an Amazon Prime subscription, up from 66.4 million in 2019.
|
| 46 |
+
|
| 47 |
+

|
| 48 |
+
|
| 49 |
+
[Source – Statista](https://www.statista.com/statistics/861060/total-number-of-households-amazon-prime-subscription-usa/)
|
| 50 |
+
|
| 51 |
+
### Amazon Geographic Segmentation
|
| 52 |
+
|
| 53 |
+
Although Amazon geographic segmentation reflects a truly global company operating in over 100 countries, **more than 60% of its website traffic comes from the US**. In 2021, around three-quarters of Amazon’s net global sales were in the US, followed far behind by Germany, the UK and Japan.
|
| 54 |
+
|
| 55 |
+
In 2020, Amazon represented [almost 38% of all online retail sales in the US](https://www.statista.com/statistics/1183515/amazon-market-share-region-worldwide/), while in Europe, it accounted for just 9.8%.
|
| 56 |
+
|
| 57 |
+
### Amazon Behavioral Segmentation
|
| 58 |
+
|
| 59 |
+
Amazon market segmentation includes new and opportunistic shoppers, as well as loyal customers who shop frequently. **While 37% of casual (non-Prime) Amazon customers purchase multiple times a year,** **48% of those with Prime membership buy at least once a week, and 74% every few weeks**.
|
| 60 |
+
|
| 61 |
+
According to an Amazon customer survey, 66% of users in the US stated that the main reason for shopping was the [availability of almost anything they need](https://www.statista.com/statistics/304945/us-amazon-prime-shopping-on-amazon-reason/), while 56% claimed their favorite aspect was the free shipping that comes with Prime membership.
|
| 62 |
+
|
| 63 |
+
Another key aspect of the shopping experience on Amazon is personalization. Based on the company’s first-party customer behavioral data, Amazon recommends relevant products to users while on site, helping to make their visit more engaging and personalized. According to Amazon, [35% of sales are attributed to the recommendation engine](https://blog.fitanalytics.com/amazon-personalized-shopping-experience/).
|
| 64 |
+
|
| 65 |
+
### Amazon Psychographic Segmentation
|
| 66 |
+
|
| 67 |
+
With around 120 million products for sale on its site, the Amazon target audience comes from all walks of life, including students and professionals, singles and families, low to high income.
|
| 68 |
+
|
| 69 |
+
The accessibility, convenience and competitive pricing of Amazon shopping drives various personality types to engage with the brand, from those defined as “Resigned” or “Struggler” to “Aspirer”, “Succeeder” and “Reformer”.
|
| 70 |
+
|
| 71 |
+
## Amazon Competitors
|
| 72 |
+
|
| 73 |
+
When comparing Amazon to other big retailers, such as Target, eBay and Walmart, it is important to note that Amazon as a brand offers a far wider customer experience than just shopping, including products such as **Amazon Fire streaming, Kindle Books, and Alexa voice assistant**, the preferred choice of [66% of voice assistant users in the US](https://www.statista.com/statistics/1274398/voice-assistant-use-by-device-united-states/).
|
| 74 |
+
|
| 75 |
+
These advanced and tech-based products are an ideal fit for the aspirational segment of the Amazon customer target market.
|
| 76 |
+
|
| 77 |
+
On the other hand, Amazon can’t provide the classic in-store shopping experience of Walmart or Target that appeals particularly to the large, rural, low-to-middle class US target audience, and this is reflected in the numbers.
|
| 78 |
+
|
| 79 |
+
In 2020, [Walmart and Amazon](https://www.start.io/blog/walmart-target-market-analysis-shopper-demographics-and-insights/) had similar overall market share for retail sales, but in the online segment alone, Amazon reached around 38% compared to just over 5% for Walmart.
|
| 80 |
+
|
| 81 |
+
The next big competitor to Amazon in the online shopping space is Alibaba, with a [net market cap of $614 billion](https://www.statista.com/statistics/245340/leading-large-cap-e-commerce-companies-market-cap/), however the Chinese e-commerce brand still doesn’t come close to Amazon’s more than double market cap valuation. eBay is another e-commerce competitor, but it is still just the [third largest in terms of desktop audience size](https://www.statista.com/statistics/324321/us-retail-site-desktop-audience-reach/), after Amazon and Walmart.
|
| 82 |
+
|
| 83 |
+
## Amazon Marketing Strategy
|
| 84 |
+
|
| 85 |
+
Amazon is ranked as [the world’s most valuable brand](https://www.statista.com/statistics/269444/brand-value-of-the-most-valuable-companies-worldwide/), worth nearly $640 billion in 2021. What is the Amazon positioning strategy that enables this? True, the brand is big enough and has the resources to produce [Superbowl ad spots](https://www.youtube.com/watch?v=d0UEAr8I9G8) featuring world-famous celebrities. However, Amazon marketing strategy is much more than that.
|
| 86 |
+
|
| 87 |
+
**One of the keys to Amazon’s huge success is the customer experience it offers, whether it be competitive pricing or the fast and free shipping that the brand is famous for.**
|
| 88 |
+
|
| 89 |
+
Take a look at this example of Amazon advertising strategy that strongly differentiates the brand via its free shipping on big items like furniture, which typically incur cumbersome delivery costs from other retailers:
|
| 90 |
+
|
| 91 |
+
With its Fundamentals A-Z marketing campaign, Amazon leveraged one of its other main strengths – the millions of products available for purchase on the site.
|
| 92 |
+
|
| 93 |
+
The campaign included ads, short-form social videos, radio, print and digital assets, and featured the famous arrow on the Amazon logo pointing from A to Z. The central message of the campaign played on Amazon’s brand positioning as the place to go for all your ‘fundamentals’ – every product you need to get the job done, whatever it may be.
|
| 94 |
+
|
| 95 |
+
Since 2019, the company slogan has been “ **Work hard. Have fun. Make history”**, which appeals to the broader brand concept that Amazon has become, and the world-changing, space-exploring aspirations of Bezos, Amazon’s founder.
|
| 96 |
+
|
| 97 |
+
Of course, no Amazon market analysis would be complete without a mention of Prime Day, Amazon’s sensational annual sale day that outperforms even Cyber Monday sales, reaching [over $11 billion in sales on Amazon last year](https://www.techradar.com/amazon-prime-day/new-prime-day-deals).
|
| 98 |
+
|
| 99 |
+
## Amazon Shoppers in United States
|
| 100 |
+
|
| 101 |
+
In the US, Amazon is the [second most visited mobile shopping app](https://www.statista.com/statistics/579718/most-popular-us-shopping-apps-ranked-by-audience/), with a monthly mobile audience that numbers 98 million users. This is reflected in Start.io data for [Amazon Shoppers in the US](https://www.start.io/audience/amazon-shoppers-in-united-states), with an audience size of over 9 million mobile users who visit Amazon on mobile.
|
| 102 |
+
|
| 103 |
+
Correlating with other Amazon segmentation data, Start.io sees a large proportion of Amazon’s target audience in the 25-34 age group, comprising over 45% of the total audience. The mobile target audience however skews male, with around 58% males to 42% female.
|
| 104 |
+
|
| 105 |
+
**Amazon shoppers tend to prefer Android over iOS, with the top 5 mobile devices used by Amazon shoppers being of the Samsung brand.**
|
| 106 |
+
|
| 107 |
+
The pandemic was a difficult time for Amazon. In the early days of COVID, the company was overwhelmed by deliveries in the US, and was even forced to limit customer purchases in order to keep up. This might have been severely damaging for a brand whose key selling point is fast, free delivery.
|
| 108 |
+
|
| 109 |
+
However, Amazon bounced back with a strong focus on optimizing delivery times. In January 2020, even before the pandemic hit, the [late delivery rate for Amazon was 11.4%](https://www.statista.com/statistics/1220033/share-of-amazon-orders-arriving-late/), shooting up to more than 15% in May that year. **By January 2021, the company had managed to reduce late deliveries to just 5%.** This is a critical factor in maintaining the Amazon positioning strategy as the shipping and delivery king.
|
| 110 |
+
|
| 111 |
+
**When you need the right mobile data…**
|
| 112 |
+
|
| 113 |
+
Visit the [Consumer Insights & Audiences Hub](https://www.start.io/audience/) by Start.io, where you can find everything you need to know about Amazon shoppers, Walmart shoppers, car enthusiasts, DIYers, and over 500 more consumer segments in the US and worldwide.
|
| 114 |
+
|
| 115 |
+
With these and other relevant insights, Start.io helps businesses improve their targeting and crush their mobile campaigns.
|
| 116 |
+
|
| 117 |
+
## \#\# Want to learn more?
|
| 118 |
+
|
| 119 |
+
## **FAQs**
|
| 120 |
+
|
| 121 |
+
### Who is Amazon's biggest competitor?
|
| 122 |
+
|
| 123 |
+
While Amazon has no direct overall competitor, its biggest competitors in the online and offline retail worlds include Chinese-owned Alibaba, Target, eBay and Walmart.
|
| 124 |
+
|
| 125 |
+
### What is Amazon’s most sold item?
|
| 126 |
+
|
| 127 |
+
With hundreds of millions of products for sale at any given time, it is impossible to pin down a most sold item on Amazon. However, it is interesting to note that the Home & Kitchen category is the most popular, with 40% of Amazon sellers offering products in that category, and 21% selling products in the Sports and Outdoors category.
|
| 128 |
+
|
| 129 |
+
### How many people shop at Amazon?
|
| 130 |
+
|
| 131 |
+
In the month of February 2022, Amazon websites received 2.2 billion visits worldwide.
|
| 132 |
+
|
| 133 |
+
Additional Sources
|
| 134 |
+
|
| 135 |
+
[https://www.statista.com/statistics/885354/top-global-online-marketplaces-by-gmv/](https://www.statista.com/statistics/885354/top-global-online-marketplaces-by-gmv/)
|
| 136 |
+
|
| 137 |
+
[https://serpwatch.io/blog/amazon-customer-demographics/](https://serpwatch.io/blog/amazon-customer-demographics/)
|
| 138 |
+
|
| 139 |
+
[https://financesonline.com/amazon-statistics/](https://financesonline.com/amazon-statistics/)
|
| 140 |
+
|
| 141 |
+
[https://fv.feedvisor.com/rs/656-BMZ-780/images/Feedvisor-Consumer-Survey-2019.pdf](https://fv.feedvisor.com/rs/656-BMZ-780/images/Feedvisor-Consumer-Survey-2019.pdf)
|
| 142 |
+
|
| 143 |
+
[https://www.shopify.com/blog/amazon-competitors](https://www.shopify.com/blog/amazon-competitors)
|
| 144 |
+
|
| 145 |
+
[https://www.bigcommerce.com/blog/amazon-statistics/](https://www.bigcommerce.com/blog/amazon-statistics/)
|
| 146 |
+
|
| 147 |
+
[https://www.statista.com/statistics/623566/web-visits-to-amazoncom/](https://www.statista.com/statistics/623566/web-visits-to-amazoncom/)
|
| 148 |
+
|
| 149 |
+
Share:
|
| 150 |
+
|
| 151 |
+
[](http://twitter.com/home?status=Currentlyreading%20https://www.start.io/blog/amazon-target-market-customer-segmentation/ "Click to share this post on X")
|
| 152 |
+
|
| 153 |
+
[](http://www.facebook.com/share.php?u=)
|
| 154 |
+
|
| 155 |
+
[](http://www.linkedin.com/shareArticle?mini=true&url=https://www.start.io/blog/amazon-target-market-customer-segmentation/&title=Amazon%20Target%20Market%20&%20Customer%20Segmentation:%20Who%20is%20Amazon%E2%80%99s%20Target%20Audience?%202022%20Overview&source=www.start.io/blog)
|
| 156 |
+
|
| 157 |
+
Other articles you might be interested in
|
| 158 |
+
|
| 159 |
+
|
| 160 |
+
[](https://www.start.io/blog/new-data-wyoming-louisiana-and-texas-are-the-worst-for-mobile-speeds/)
|
| 161 |
+
|
| 162 |
+
##### [New data: Wyoming, Louisiana and Texas are the worst for mobile speeds](https://www.start.io/blog/new-data-wyoming-louisiana-and-texas-are-the-worst-for-mobile-speeds/)
|
| 163 |
+
|
| 164 |
+
[Read more](https://www.start.io/blog/new-data-wyoming-louisiana-and-texas-are-the-worst-for-mobile-speeds/)
|
| 165 |
+
|
| 166 |
+
[](https://www.start.io/blog/sports-mobile-apps-see-46-jump-in-ad-spending-in-q3/)
|
| 167 |
+
|
| 168 |
+
##### [Sports mobile apps see 46% jump in ad spending in Q3](https://www.start.io/blog/sports-mobile-apps-see-46-jump-in-ad-spending-in-q3/)
|
| 169 |
+
|
| 170 |
+
[Read more](https://www.start.io/blog/sports-mobile-apps-see-46-jump-in-ad-spending-in-q3/)
|
| 171 |
+
|
| 172 |
+
[](https://www.start.io/blog/lululemon-target-market-analysis-customer-demographics-marketing-strategy-main-competitors/)
|
| 173 |
+
|
| 174 |
+
##### [Lululemon Target Market Analysis – Customer Demographics, Marketing Strategy and Main Competitors (2024 Update)](https://www.start.io/blog/lululemon-target-market-analysis-customer-demographics-marketing-strategy-main-competitors/)
|
| 175 |
+
|
| 176 |
+
[Read more](https://www.start.io/blog/lululemon-target-market-analysis-customer-demographics-marketing-strategy-main-competitors/)
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| 177 |
+
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| 178 |
+

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| 1 |
+
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# CATEGORIES
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[Explore Generative AI](/certifications/generative-ai-courses "Explore the category")
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# CATEGORIES
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| 41 |
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- Generative AI
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| 42 |
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- AI & Machine Learning
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| 43 |
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| 47 |
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| 50 |
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| 52 |
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| 53 |
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| 55 |
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# OBJECTIVE
|
| 56 |
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| 57 |
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- Certifications
|
| 58 |
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| 59 |
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# PARTNERS
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- University Partners
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Explore our curated learning milestones for you!
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| 96 |
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| 97 |
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|
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#### Post Graduate Program in Digital Marketing
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| 100 |
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| 108 |
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Click here to close suggestions!
|
| 109 |
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|
| 110 |
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[Home](https://www.simplilearn.com) [Resources](https://www.simplilearn.com/resources) [Digital Marketing](https://www.simplilearn.com/resources/digital-marketing) Amazon Marketing Strategy 2024: A Case Study
|
| 111 |
+
|
| 112 |
+
#### Table of Contents
|
| 113 |
+
|
| 114 |
+
[**The 4Ps of Amazon's Marketing Strategy**](#the_4ps_of_amazons_marketing_strategy) [**Amazon Marketing Channel Types**](#amazon_marketing_channel_types) [**Amazon's Digital Marketing Strategy**](#amazons_digital_marketing_strategy) [**Become a Digital Marketer in 2022**](#become_a_digital_marketer_in_2022)
|
| 115 |
+
|
| 116 |
+
# Amazon Marketing Strategy 2024: A Case Study
|
| 117 |
+
|
| 118 |
+
[By Simplilearn](https://www.simplilearn.com/authors/simplilearn)
|
| 119 |
+
|
| 120 |
+
Share This Article:
|
| 121 |
+
|
| 122 |
+
Last updated on Jul 4, 202454806
|
| 123 |
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| 124 |
+

|
| 125 |
+
|
| 126 |
+
#### Table of Contents
|
| 127 |
+
|
| 128 |
+
[**The 4Ps of Amazon's Marketing Strategy**](#the_4ps_of_amazons_marketing_strategy) [**Amazon Marketing Channel Types**](#amazon_marketing_channel_types) [**Amazon's Digital Marketing Strategy**](#amazons_digital_marketing_strategy) [**Become a Digital Marketer in 2022**](#become_a_digital_marketer_in_2022)
|
| 129 |
+
|
| 130 |
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Amazon is the largest online store in the world based on sales and market value. This online business has changed how people all over the world do business. Jeff Bezos started the company in Washington, USA on July 05, 1994. He was the CEO of the company till July 2021. Andy Jassy took over as the President and CEO of Amazon on July 05 2021.
|
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| 132 |
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The first success for Amazon came along very quickly. It began as an online bookstore and kept adding to what it could do. In 1997, the company went public and is now on the NASDAQ in the US. Without help from the press, the company could sell books in 45 countries in less than two months. Amazon is now in more than 200 countries, and its website sells almost everything. Its subsidiaries include Audible, Twitch, IMDb, and Amazon Web Services.
|
| 133 |
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|
| 134 |
+
Amazon Marketing Strategy is something that has become a case study at all the top [MBA](https://www.simplilearn.com/what-is-an-mba-degree-and-how-to-prepare-article "MBA") colleges. Amazon's marketing strategy helped the company achieve a 1.7 trillion-dollar valuation in 2021. So, here we discuss the Amazon Marketing strategy and how it helps differentiate the company from its competitors.
|
| 135 |
+
|
| 136 |
+
#### Become a Certified Digital Marketer Today
|
| 137 |
+
|
| 138 |
+
IMT Ghaziabad Digital Marketing Program [Explore Course](https://www.simplilearn.com/professional-certificate-digital-marketing?source=GhPreviewCTABanner)
|
| 139 |
+
|
| 140 |
+

|
| 141 |
+
|
| 142 |
+
## The 4Ps of Amazon's Marketing Strategy
|
| 143 |
+
|
| 144 |
+
Amazon looks at the " [marketing mix](https://www.simplilearn.com/incorporating-mobile-marketing-strategy-mix-article "marketing mix")" of a company or brand, which comprises the 4Ps -
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| 145 |
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| 146 |
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1. Product
|
| 147 |
+
2. Price
|
| 148 |
+
3. Place
|
| 149 |
+
4. Promotion
|
| 150 |
+
|
| 151 |
+
Here is a comprehensive explanation of each factor's function.
|
| 152 |
+
|
| 153 |
+
### Product
|
| 154 |
+
|
| 155 |
+
Amazon used only to sell books online, but now it sells millions of different products in many categories. Shoes, jewelry, clothes, toys, home and kitchen appliances, electronics, books, the great outdoors, sports, car accessories, and works of art are some of the most popular products. Amazon sells goods from small businesses and shops but promotes its [brand](https://www.simplilearn.com/elements-of-a-brand-or-brand-persona-article "brand"), Amazon Basics.
|
| 156 |
+
|
| 157 |
+
### Price
|
| 158 |
+
|
| 159 |
+
A company can price its products in several different ways. Here are some to remember:
|
| 160 |
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|
| 161 |
+
- Cost-plus pricing
|
| 162 |
+
- Value pricing
|
| 163 |
+
- Competitor pricing
|
| 164 |
+
- Price discrimination
|
| 165 |
+
|
| 166 |
+
Amazon often uses a pricing strategy called "competitive pricing," in which it looks at the prices of its competitors and bases its prices on those. It helps keep costs low and gives customers a lot of choices.
|
| 167 |
+
|
| 168 |
+
Amazon also uses the following methods to set prices:
|
| 169 |
+
|
| 170 |
+
- Promotional pricing
|
| 171 |
+
- Behavioral pricing
|
| 172 |
+
|
| 173 |
+
Amazon can change its products daily because of how it runs its business. This is its best feature, making it hard for other companies to compete with Amazon.
|
| 174 |
+
|
| 175 |
+
### 3\. Place
|
| 176 |
+
|
| 177 |
+
Amazon's online store has grown over the past few years in many parts of the world. Millions of products are now more accessible to customers worldwide to get. Even if you live in a remote part of the world, you can get packages quickly from Amazon. Part of the company's success comes from the fact that it ships fast and has fulfillment hubs.
|
| 178 |
+
|
| 179 |
+
### 4\. Promotion
|
| 180 |
+
|
| 181 |
+
When it comes to marketing, Amazon knows how important communication is. It uses a lot of different kinds of advertising to reach people who might buy or use its products. Amazon has a lot of sales and discounts, which is a great way to build its brand. It has regular ads on websites, newspapers, TV, billboards, and [social media](https://www.simplilearn.com/importance-of-social-media-in-todays-world-article "social media"), among other places. There are also affiliate sites that work with Amazon.
|
| 182 |
+
|
| 183 |
+
Also Read - [What are the 7 Ps of Marketing?](https://www.simplilearn.com/what-are-the-7-ps-of-marketing-article "What are the 7 Ps of Marketing?") Read this article and find out!
|
| 184 |
+
|
| 185 |
+
#### Become One of The Highest Paid Digital Marketer
|
| 186 |
+
|
| 187 |
+
With Purdue Digital Marketing PG Program [Explore Course](https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?source=GhPreviewCTABanner)
|
| 188 |
+
|
| 189 |
+

|
| 190 |
+
|
| 191 |
+
## Amazon Marketing Channel Types
|
| 192 |
+
|
| 193 |
+
PPC advertising on Amazon can be put into three groups:
|
| 194 |
+
|
| 195 |
+
### 1\. Headline Search Ads
|
| 196 |
+
|
| 197 |
+
If you want to get your brand out there, it's best to use headline search ads. Amazon now has two ways to promote brands, especially during the holiday season:
|
| 198 |
+
|
| 199 |
+
- Headline Search Ads
|
| 200 |
+
- Amazon Stores
|
| 201 |
+
|
| 202 |
+
Title and Amazon Stores Together, Search Ads can help people know more about your brand and the products you sell. It also builds trust with customers and makes sure that your products are shown in the right way.
|
| 203 |
+
|
| 204 |
+
By combining Headline Search Ads, Amazon Stores, and Sponsored Products into a single [Pay-Per-Click (PPC) marketing](https://www.simplilearn.com/ppc-marketing-ultimate-guide-article "Pay-Per-Click (PPC) marketing") campaign, you can easily reach many shoppers in less time.
|
| 205 |
+
|
| 206 |
+
### 2\. Product Display Ads
|
| 207 |
+
|
| 208 |
+
Another type of effective PPC ad is a "Product Display Ad," which is placed next to the product or in the "similar items" section on the product page. This kind of ad is only meant to be self-service. It is linked to the ASINs of the products, which gives sellers many options for focusing on different types of customers based on how they act.
|
| 209 |
+
|
| 210 |
+
### 3\. Sponsored Product Ads
|
| 211 |
+
|
| 212 |
+
One of the best ways to get more people to see and buy your product is to pay for an advertisement. Sponsored product ads appear on the top when you search for something on Amazon.
|
| 213 |
+
|
| 214 |
+
## Amazon's Digital Marketing Strategy
|
| 215 |
+
|
| 216 |
+
Amazon's [digital marketing strategy](https://www.simplilearn.com/digital-marketing-strategy-article "digital marketing strategy") is comprehensive, and they reach the customers through digital marketing. Today, everyone uses social media. Amazon advertises its products on social media, taking advantage of those who use those sites and sending them to their product pages to help them sell more. It has teamed up with several big and small influencers in the country to reach its audience more effectively. It uses Twitter, Instagram, YouTube, Pinterest, and Facebook.
|
| 217 |
+
|
| 218 |
+
### Amazon on Facebook
|
| 219 |
+
|
| 220 |
+
There are 10 million people who follow Amazon India on [Facebook](https://www.simplilearn.com/facebook-marketing-for-beginners-steps-to-get-started-article "Facebook"). It primarily uses Facebook to share company news and advertising. It uses strong advertising to get the word out about its Sale Days. It also stays up-to-date by publishing posts on different topics.
|
| 221 |
+
|
| 222 |
+
### Amazon on Instagram
|
| 223 |
+
|
| 224 |
+
Interviews with artists from different backgrounds and key advertising are the main parts of Amazon's [Instagram marketing](https://www.simplilearn.com/the-beginners-guide-to-advertising-on-instagram-article "Instagram marketing") plan. It has more than 2.8 million Instagram followers. The company's strategies for Instagram and Facebook are very similar, except that it doesn't post updates about company news on either platform. Both platforms have posts from the company that are very similar.
|
| 225 |
+
|
| 226 |
+
### Amazon on Twitter
|
| 227 |
+
|
| 228 |
+
Amazon India has a different plan for getting new customers through Twitter. It stays in touch with its followers, using a wide range of content, holding contests to get new customers, and following and creating trends. It is one of the biggest in its field, with two million Twitter followers. Twitter content makes it sound less like advertising and more like personal recommendations.
|
| 229 |
+
|
| 230 |
+
### Amazon on YouTube
|
| 231 |
+
|
| 232 |
+
The best thing about Amazon's [YouTube ads](https://www.simplilearn.com/youtube-ads-commercial-on-tv-article "YouTube ads") is that they immediately grab people's attention. Amazon makes sure that its ads are always interesting and valuable. Most of the time, it does this by trying to make the customer feel special.
|
| 233 |
+
|
| 234 |
+
### Amazon on Pinterest
|
| 235 |
+
|
| 236 |
+
More than a million people follow Amazon on Pinterest. They use Pinterest to promote their products based on a wide range of themes to grab people's attention.
|
| 237 |
+
|
| 238 |
+
The way Amazon uses [digital marketing](https://www.simplilearn.com/the-scope-of-digital-marketing-article "digital marketing") is unparalleled. To stay competitive, they should keep making more exciting content and putting it out in the best way possible. Amazon Marketing Strategy gets updated periodically to stay ahead of the curve. Competing in the retail industry is complex, and Amazon's marketing strategy has helped the company stay ahead of the competition.
|
| 239 |
+
|
| 240 |
+
## Become a Digital Marketer in 2022
|
| 241 |
+
|
| 242 |
+
Amazon's 2024 marketing plan exemplifies the value of creativity, customer-focused strategies, and data-driven decision-making. Amazon is still at the top of the e-commerce game because it uses cutting edge technology, customized marketing, and a flawless buying experience. Enhancing customer loyalty programs, growing advertising platforms, and optimizing search algorithms are important strategies. The [Post Graduate Program in Digital Marketing](https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?source=GhPreviewCoursepages "Post Graduate Program in Digital Marketing") certification from Simplilearn offers thorough instruction in digital marketing methods and resources for professionals who want to become experts in these cutting-edge tactics. This program gives participants the tools they need to put effective marketing tactics into practice and maintain an advantage in the cutthroat digital industry.
|
| 243 |
+
|
| 244 |
+
## Our Digital Marketing Courses Duration And Fees
|
| 245 |
+
|
| 246 |
+
Digital Marketing Courses typically range from a few weeks to several months, with fees varying based on program and institution.
|
| 247 |
+
|
| 248 |
+
| [Post Graduate Program in Digital Marketing](https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?source=CohortTableCTA) <br>Cohort Starts: **19 Dec, 2024** | 8 Months | $ 3,000 |
|
| 249 |
+
| [Digital Marketing Specialist](https://www.simplilearn.com/master-in-digital-marketing?source=CohortTableCTA) | 8 Months | $ 1,649 |
|
| 250 |
+
|
| 251 |
+
## Recommended Reads
|
| 252 |
+
|
| 253 |
+
- [AWS Career Guide: A Comprehensive Playbook To Becoming an AWS Solution Architect\\
|
| 254 |
+
\\
|
| 255 |
+
26 May, 2023](https://www.simplilearn.com/aws-career-guide-pdf)
|
| 256 |
+
- [Digital Marketing\\
|
| 257 |
+
Walmart Marketing Strategy\\
|
| 258 |
+
\\
|
| 259 |
+
364034 Jul, 2024](https://www.simplilearn.com/tutorials/marketing-case-studies-tutorial/walmart-marketing-strategy)
|
| 260 |
+
- [What is AWS: Introduction to Amazon Web Services\\
|
| 261 |
+
\\
|
| 262 |
+
47205827 Aug, 2024](https://www.simplilearn.com/tutorials/aws-tutorial/what-is-aws)
|
| 263 |
+
- [AWS Basics: A Beginner’s Guide\\
|
| 264 |
+
\\
|
| 265 |
+
23 Jul, 2024](https://www.simplilearn.com/aws-basics-beginners-guide-pdf)
|
| 266 |
+
- [Digital Marketing\\
|
| 267 |
+
Walmart Marketing Strategy\\
|
| 268 |
+
\\
|
| 269 |
+
13628 Jul, 2024](https://www.simplilearn.com/walmart-marketing-strategy-article)
|
| 270 |
+
- [An Introduction to AWS SageMaker\\
|
| 271 |
+
\\
|
| 272 |
+
14948120 Jul, 2024](https://www.simplilearn.com/tutorials/aws-tutorial/aws-sagemaker)
|
| 273 |
+
|
| 274 |
+
prevNext
|
| 275 |
+
|
| 276 |
+
### Get Affiliated Certificationswith Live Class programs
|
| 277 |
+
|
| 278 |
+

|
| 279 |
+
|
| 280 |
+
#### Post Graduate Program in Digital Marketing
|
| 281 |
+
|
| 282 |
+
- Joint Purdue-Simplilearn Digital Marketer Certificate
|
| 283 |
+
- Become eligible to be part of the Purdue University Alumni Association
|
| 284 |
+
|
| 285 |
+
8 Months months
|
| 286 |
+
|
| 287 |
+
[View Program](javascript:void(0))
|
| 288 |
+
|
| 289 |
+

|
| 290 |
+
|
| 291 |
+
#### Search Engine Optimization (SEO) Course
|
| 292 |
+
|
| 293 |
+
- 25 hands-on projects to perfect the skills learnt
|
| 294 |
+
- 3 simulation test papers for self-assessment
|
| 295 |
+
|
| 296 |
+
[View Program](javascript:void(0))
|
| 297 |
+
|
| 298 |
+
[Go to top](#GoTop "Go to top")
|
| 299 |
+
|
| 300 |
+
- Disclaimer
|
| 301 |
+
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
|
smartinsights.com_gap_analysis.txt
ADDED
|
@@ -0,0 +1,590 @@
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|
| 1 |
+
[BLACK FRIDAY SALE - up to 57% off memberships for a limited time!](https://www.smartinsights.com/membership/black-friday/)
|
| 2 |
+
|
| 3 |
+
[](https://www.smartinsights.com/)
|
| 4 |
+
|
| 5 |
+
## Limited Time Offer: up to 57% off Membership
|
| 6 |
+
|
| 7 |
+
##### Transform your marketing and develop your marketing career
|
| 8 |
+
|
| 9 |
+
Keep yourself (and your team) up-to-date, improve your marketing results and learn new skills to develop your professional career with an integrated system of guides, templates, micro e-learning and a personalized learning plan.
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
[Learn More](https://www.smartinsights.com/membership/black-friday/)
|
| 13 |
+
|
| 14 |
+

|
| 15 |
+
|
| 16 |
+
Offer ends in:
|
| 17 |
+
|
| 18 |
+
0
|
| 19 |
+
|
| 20 |
+
Days
|
| 21 |
+
|
| 22 |
+
:
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
09
|
| 26 |
+
|
| 27 |
+
Hours
|
| 28 |
+
|
| 29 |
+
:
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
54
|
| 33 |
+
|
| 34 |
+
Mins
|
| 35 |
+
|
| 36 |
+
:
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
51
|
| 40 |
+
|
| 41 |
+
Secs
|
| 42 |
+
|
| 43 |
+
[](https://www.smartinsights.com/)
|
| 44 |
+
|
| 45 |
+
- [Digital Marketing Toolkits](https://www.smartinsights.com/members/) - [Digital Marketing Strategy and Planning](https://www.smartinsights.com/improve/digital-marketing-strategy-planning-toolkit/)
|
| 46 |
+
- [Content Marketing](https://www.smartinsights.com/improve/content-marketing-toolkit/)
|
| 47 |
+
- [Digital Experience Management (Desktop/mobile website)](https://www.smartinsights.com/improve/digital-experience-management-toolkit/)
|
| 48 |
+
- [Email Marketing](https://www.smartinsights.com/improve/email-marketing-toolkit/)
|
| 49 |
+
- [Paid Media](https://www.smartinsights.com/improve/paid-media/)
|
| 50 |
+
- [Google Analytics](https://www.smartinsights.com/improve/google-analytics-toolkit/)
|
| 51 |
+
- [Marketing Campaign Planning](https://www.smartinsights.com/improve/marketing-campaign-planning-toolkit/)
|
| 52 |
+
- [Search Engine Optimisation (SEO)](https://www.smartinsights.com/improve/search-engine-optimisation-seo-toolkit/)
|
| 53 |
+
- [Social Media Marketing](https://www.smartinsights.com/improve/social-media-marketing-toolkit/)
|
| 54 |
+
- [Business Toolkits](https://www.smartinsights.com/membership/business-membership-benefits/) - [Agency growth](https://www.smartinsights.com/improve/agency-growth-management-toolkit/)
|
| 55 |
+
- [Business-to-Business](https://www.smartinsights.com/improve/business-business-b2b-toolkit/)
|
| 56 |
+
- [Charity and Not-for-profit](https://www.smartinsights.com/improve/charity-not-profits/)
|
| 57 |
+
- [E-commerce / Retail](https://www.smartinsights.com/improve/ecommerce-retail-digital-marketing/)
|
| 58 |
+
- [Managing Digital Teams](https://www.smartinsights.com/improve/managing-digital-marketing-teams/)
|
| 59 |
+
- [Managing Digital Branding](https://www.smartinsights.com/improve/managing-digital-branding/)
|
| 60 |
+
- [Managing Digital Transformation](https://www.smartinsights.com/improve/digital-transformation-toolkit/)
|
| 61 |
+
- [Managing Lifecycle Marketing](https://www.smartinsights.com/improve/multichannel-lifecycle-marketing/)
|
| 62 |
+
- [Managing International Marketing](https://www.smartinsights.com/improve/managing-international-marketing/)
|
| 63 |
+
- [Startup and Small Businesses](https://www.smartinsights.com/improve/marketing-technology-innovation/)
|
| 64 |
+
|
| 65 |
+
[Explore our Digital Marketing Strategy and Planning Toolkit ](https://www.smartinsights.com/improve/digital-marketing-strategy-planning-toolkit/)
|
| 66 |
+
|
| 67 |
+
# Amazon.com marketing strategy 2023: E-commerce retail giant business case study
|
| 68 |
+
|
| 69 |
+
[By Dave Chaffey](https://www.smartinsights.com/author/davechaffey/) 27 Feb, 2023
|
| 70 |
+
|
| 71 |
+
Advanced 
|
| 72 |
+
|
| 73 |
+
[Digital marketing strategy](https://www.smartinsights.com/archive/digital-marketing-strategy/) [Online business and revenue models](https://www.smartinsights.com/archive/digital-marketing-strategy/online-business-revenue-models/)
|
| 74 |
+
|
| 75 |
+
[Case study](https://www.smartinsights.com/advicetype/case-study)
|
| 76 |
+
|
| 77 |
+
[](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww.smartinsights.com%2Fdigital-marketing-strategy%2Fonline-business-revenue-models%2Famazon-case-study%2F)[](https://twitter.com/intent/tweet?text=Amazon.com+marketing+strategy+2023%3A+E-commerce+retail+giant+business+case+study&url=https%3A%2F%2Fwww.smartinsights.com%2Fdigital-marketing-strategy%2Fonline-business-revenue-models%2Famazon-case-study%2F&via=smartinsights)[](https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fwww.smartinsights.com%2Fdigital-marketing-strategy%2Fonline-business-revenue-models%2Famazon-case-study%2F&title=Amazon.com+marketing+strategy+2023%3A+E-commerce+retail+giant+business+case+study&summary=What+goes+into+the+Amazon+marketing+strategy+secret+sauce%3F+Our+business+case+study+explores+Amazon%27s+revenue+model+and+culture+of+customer+metrics%2C+history+of+Amazon.com+and+marketing+objectives+In+the+final+quarter+of+2022%2C+Amazon+reported+net+sales+of+over+%26hellip%3B..&source=https%3A%2F%2Fwww.smartinsights.com%2Fdigital-marketing-strategy%2Fonline-business-revenue-models%2Famazon-case-study%2F)[](https://www.reddit.com/submit?url=https%3A%2F%2Fwww.smartinsights.com%2Fdigital-marketing-strategy%2Fonline-business-revenue-models%2Famazon-case-study%2F&title=Amazon.com+marketing+strategy+2023%3A+E-commerce+retail+giant+business+case+study)
|
| 78 |
+
|
| 79 |
+
[Explore our Digital Marketing Strategy and Planning Toolkit](https://www.smartinsights.com/improve/digital-marketing-strategy-planning-toolkit/)
|
| 80 |
+
|
| 81 |
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## What goes into the Amazon marketing strategy secret sauce? Our business case study explores Amazon's revenue model and culture of customer metrics, history of Amazon.com and marketing objectives
|
| 82 |
+
|
| 83 |
+
In the final quarter of 2022, Amazon reported net sales of over $149.2 billion. This seasonal spike is typical of [Amazon's quarterly reporting](https://www.statista.com/statistics/273963/quarterly-revenue-of-amazoncom/), but the growth is undeniable as this was the company's highest quarter ever.
|
| 84 |
+
|
| 85 |
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There is no doubt that the e-commerce retail giant continues to lead the way in e-commerce growth. The Amazon marketing strategy we are familiar with today has evolved since it was founded in 1994.
|
| 86 |
+
|
| 87 |
+
[](https://www.smartinsights.com/wp-content/uploads/2022/05/Amazon-e-commerce-growth.png)
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I've highlighted the Amazon marketing strategy case study in my books for nearly 20 years now since I think all types of businesses can learn from their digital business strategy. Their response to the pandemic is impressive but not entirely surprising for a brand that is ' [customer obsessed](https://www.amazon.jobs/en/principles)'.
|
| 90 |
+
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From startups and small businesses to large international businesses, we can all learn from their focus on the customer, particularly at this time, testing market opportunities made available by digital technology, and their focus on testing and analysis to improve results.
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+
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| 93 |
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Their focus on customer experience put Amazon in the role of a thought leader in e-commerce experience. However, whether due to diminished customer service, or increasing customer expectations, or a mixture of the two, fulled by a global pandemic - notably, 2020 was the first time Amazon's [ACSI customer satisfaction rating](http://www.theacsi.org/index.php?option=com_content&view=article&id=149&catid=&Itemid=214&c=Amazon) dropped below 80 since launch, to 65%.
|
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+
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With [customer satisfaction now measuring at 79% in 2022](https://www.wsj.com/articles/amazons-customer-satisfaction-slips-with-shoppers-11668986981), customer satisfaction in Amazon has risen again, but is still not as high as it once was.
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+
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Currently, [Forbes](https://www.forbes.com/companies/amazon/?sh=5a75a9306fb8) gives a consensus recommendation to buy Amazon stock, giving a return on assets (TTM) of 1.73%. The stock performance is not as high as we saw in 2020 and 2021, but it did show some growth in late 2022 - early 2023.
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[](https://www.smartinsights.com/wp-content/uploads/2022/05/Amazon-stock-value-chart.png)
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I aim to keep this case study up-to-date for readers of the books and Smart Insights readers who may be interested. In it, we look at Amazon's background, revenue model, and sources for the latest business results.
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We can also learn from their digital marketing strategy, since they use digital marketing efficiently across all customer communications touchpoints in our [RACE Framework](https://www.smartinsights.com/digital-marketing-strategy/race-a-practical-framework-to-improve-your-digital-marketing/):
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- **Reach**: Amazon's initial business growth based on a detailed approach to SEO and AdWords targeting millions of keywords.
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- **Act**: Creating clear and simple experiences through testing and learning.
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- **Convert**: Using personalization to make relevant recommendations and a clear checkout process that many now imitate.
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- **Engage**: Amazon's customer-centric culture delights customers and keeps them coming back for more.
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[](https://www.smartinsights.com/wp-content/uploads/2022/02/2022-race-diagram.png)
|
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|
| 112 |
+
Looking to optimize your marketing strategy? We've got marketing solutions for your e-commerce business. From startups to retail giants, our bespoke marketing training empowers e-commerce marketers to plan, manage and optimize their marketing strategies, with marketing tools proven to generate growth. Find out more.
|
| 113 |
+
|
| 114 |
+
### Create your 90-day plan with the RACE Growth System
|
| 115 |
+
|
| 116 |
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Download your free RACE Growth System guide today and unlock our three-step plan of Opportunity, Strategy and Action to grow your business.
|
| 117 |
+
|
| 118 |
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[Download guide](https://www.smartinsights.com/insights/create-your-90-day-plan-with-the-race-growth-system/)
|
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+
|
| 120 |
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### Amazon's growth and business model evolution
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Amazon performs exceptionally efficiently measured against revenue per visitor, which is one of the key measures for any commercial website, whether it's a media site, search engine, social network, or a transactional retailer or offers travel or financial services. Of course, profit per user would be quite different due to the significantly lower costs of other .coms like Facebook and Google.
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+
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Forbes credits [Amazon's success](https://www.forbes.com/sites/christianstadler/2020/12/04/why-you-cant-learn-from-amazon/?sh=3a4597cc2841) to 3 rules which it breaks, but we 'probably shouldn't'!
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+
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1. Strategy is about focus - although Amazon has an incredible number of strands to the business today.
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2. Don’t throw good money after bad - with criticism in particular of Amazon's investment in groceries.
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3. Your core competencies determine what you can and can’t do - developing the Kindle with no hardware manufacturing experience.
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+
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In this way, Forbes outlines a 'risky' approach to marketing strategy which, for Amazon, paid off in dividends. So, there is plenty to learn from studying this company, even if we decide not to replicate all tactics and strategies.
|
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+
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| 132 |
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### Amazon.com mission and vision
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When it first launched, Amazon’s had a clear and ambitious mission. To offer:
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+
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| 136 |
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> Earth’s biggest selection and to be Earth’s most customer-centric company.
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+
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Today, with business users of its Amazon Web Service representing a new type of customer, Amazon says:
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+
|
| 140 |
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> _this goal continues today, but Amazon’s customers are worldwide now and have grown to include millions of Con-sumers, Sellers, Content Creators, Developers, and Enterprises. Each of these groups has different needs, and we always work to meet those needs, by innovating new solutions to make things easier, faster, better, and more cost-effective._
|
| 141 |
+
|
| 142 |
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20 years later, Amazon are still customer-centric, in fact, in the [latest Amazon Annual report](https://ir.aboutamazon.com/annual-reports-proxies-and-shareholder-letters/default.aspx), 2021, Jeff Bezos of Amazon explains customer obsession.
|
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| 144 |
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> "We seek to be Earth’s most customer-centric company and believe that our guiding principle of customer obsession is one
|
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+
>
|
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> of our greatest strengths.
|
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>
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> We seek to offer our customers a comprehensive selection of products, low prices, fast and free delivery, easy-to-use functionality, and timely customer service.
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>
|
| 150 |
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> By focusing obsessively on customers, we are internally
|
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+
>
|
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> driven to improve our services, add benefits and features, invent new products, lower prices, increase product selection, and
|
| 153 |
+
>
|
| 154 |
+
> speed up shipping times—before we have to."
|
| 155 |
+
|
| 156 |
+
### Amazon business and revenue model
|
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+
|
| 158 |
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I recommend anyone studying Amazon checks the latest annual reports, proxies, and shareholder letters. The annual filings give a great summary of eBay business and revenue models.
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+
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The 2020 report includes a great vision for Digital Agility (reprinted from 1997 in their latest annual report) showing testing of business models that many businesses don't yet have. Amazon explain:
|
| 161 |
+
|
| 162 |
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> "We will continue to measure our programs and the effectiveness of our investments analytically, to jettison those that do not provide acceptable returns, and to step up our investment in those that work best. We will continue to learn from both our successes and our failures".
|
| 163 |
+
|
| 164 |
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They go on to explain that business models are tested from a long-term perspective, showing the mindset of CEO Jeff Bezos:
|
| 165 |
+
|
| 166 |
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> We will continue to make investment decisions in light of long-term market leadership considerations rather than short-term profitability considerations or short-term Wall Street reactions.
|
| 167 |
+
|
| 168 |
+
The latest example of innovation in their business model is the launch of Amazon Go, a new kind of store with no checkout required. Boasting a "Just Walk Out Shopping experience",the Amazon Go app users enter the store, take the products they want, and go with no lines and no checkout.
|
| 169 |
+
|
| 170 |
+
Introducing Amazon Go and the world’s most advanced shopping technology - YouTube
|
| 171 |
+
|
| 172 |
+
amazon
|
| 173 |
+
|
| 174 |
+
713K subscribers
|
| 175 |
+
|
| 176 |
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[Introducing Amazon Go and the world’s most advanced shopping technology](https://www.youtube.com/watch?v=NrmMk1Myrxc)
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| 177 |
+
|
| 178 |
+
amazon
|
| 179 |
+
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| 180 |
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Search
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| 181 |
+
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| 182 |
+
Watch later
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| 183 |
+
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Share
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| 185 |
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| 186 |
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Copy link
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| 187 |
+
|
| 188 |
+
Info
|
| 189 |
+
|
| 190 |
+
Shopping
|
| 191 |
+
|
| 192 |
+
Tap to unmute
|
| 193 |
+
|
| 194 |
+
If playback doesn't begin shortly, try restarting your device.
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| 195 |
+
|
| 196 |
+
More videos
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| 197 |
+
|
| 198 |
+
## More videos
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| 199 |
+
|
| 200 |
+
You're signed out
|
| 201 |
+
|
| 202 |
+
Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.
|
| 203 |
+
|
| 204 |
+
CancelConfirm
|
| 205 |
+
|
| 206 |
+
Share
|
| 207 |
+
|
| 208 |
+
Include playlist
|
| 209 |
+
|
| 210 |
+
An error occurred while retrieving sharing information. Please try again later.
|
| 211 |
+
|
| 212 |
+
[Watch on](https://www.youtube.com/watch?v=NrmMk1Myrxc&embeds_referring_euri=https%3A%2F%2Fwww.smartinsights.com%2F)
|
| 213 |
+
|
| 214 |
+
0:00
|
| 215 |
+
|
| 216 |
+
0:00 / 1:50•Live
|
| 217 |
+
|
| 218 |
+
•
|
| 219 |
+
|
| 220 |
+
[Watch on YouTube](https://www.youtube.com/watch?v=NrmMk1Myrxc "Watch on YouTube")
|
| 221 |
+
|
| 222 |
+
More recently, there have been a range of business model innovations focussed on hardware and new services: Kindle e-readers, Fire Tablet, smartphone and TV, Echo (using the Alexa Artificial Intelligence voice-assistant), grocery delivery, Amazon Fashion and expansion to the business-oriented Amazon Web Services (AWS). Amazon Prime, an annual membership program that includes unlimited free shipping and then involved diversification to a media service with access to unlimited instant streaming of thousands of movies and TV episodes.
|
| 223 |
+
|
| 224 |
+
AWS is less well-known outside of tech people, but Amazon is still pursuing this cloud service aggressively. They now have 10 AWS regions around the world, including the East Coast of the U.S., two on the West Coast, Europe, Singapore, Tokyo, Sydney, Brazil, China, and a government-only region called GovCloud.
|
| 225 |
+
|
| 226 |
+
### Amazon marketing strategy
|
| 227 |
+
|
| 228 |
+
In their 2008 SEC filing, Amazon describes the vision of their business as to:
|
| 229 |
+
|
| 230 |
+
“Relentlessly focus on customer experience by offering our customers low prices, convenience, and a wide selection of merchandise.”
|
| 231 |
+
|
| 232 |
+
The vision is still to consider how the core Amazon marketing strategy value proposition is communicated both on-site and through offline communications.
|
| 233 |
+
|
| 234 |
+
Of course, achieving customer loyalty and repeat purchases has been key to Amazon’s success. Many dot-coms failed because they succeeded in achieving awareness, but not loyalty. Amazon achieved both. In their SEC filing they stress how they seek to achieve this. They say:
|
| 235 |
+
|
| 236 |
+
" _We work to earn repeat purchases by providing easy-to-use functionality, fast and reliable fulfillment, timely customer service, feature-rich content, and a trusted transaction environment._
|
| 237 |
+
|
| 238 |
+
Key features of Amazon include:
|
| 239 |
+
|
| 240 |
+
- editorial and customer reviews;
|
| 241 |
+
- manufacturer product information;
|
| 242 |
+
- web pages tailored to individual preferences, such as recommendations and notifications; 1-Click® technology;
|
| 243 |
+
- secure payment systems;
|
| 244 |
+
- image uploads;
|
| 245 |
+
- searching on our websites as well as the Internet;
|
| 246 |
+
- browsing; and the ability to view selected interior pages and citations, and search the entire contents of many of the books we offer with our “Look Inside the Book” and “Search Inside the Book” features.
|
| 247 |
+
|
| 248 |
+
The community of online customers also creates feature-rich content, including product reviews, online recommendation lists, wish lists, buying guides, and wedding and baby registries."
|
| 249 |
+
|
| 250 |
+
In practice, as is the practice for many online retailers, the lowest prices are for the most popular products, with less popular products commanding higher prices and a greater margin for Amazon.
|
| 251 |
+
|
| 252 |
+
Free shipping offers are used to encourage increase in basket size since customers have to spend over a certain amount to receive free shipping. The level at which free shipping is set is critical to profitability and Amazon has changed it as competition has changed and for promotional reasons.
|
| 253 |
+
|
| 254 |
+
Amazon communicates the fulfillment promise in several ways including the presentation of the latest inventory availability information, delivery date estimates, and options for expedited delivery, as well as delivery shipment notifications and update facilities.
|
| 255 |
+
|
| 256 |
+
[](https://www.smartinsights.com/wp-content/uploads/2020/10/Amazon-marketing-strategy.png)
|
| 257 |
+
|
| 258 |
+
This focus on customer has translated to excellence in service with the 2004 American Customer Satisfaction Index giving Amazon.com a score of 88 which was at the time, the highest customer satisfaction score ever recorded in any service industry, online or offline.
|
| 259 |
+
|
| 260 |
+
Round (2004) notes that Amazon focuses on customer satisfaction metrics. Each site is closely monitored with standard service availability monitoring (for example, using Keynote or Mercury Interactive) site availability and download speed. Interestingly it also monitors per minute site revenue upper/lower bounds – Round describes an alarm system rather like a power plant where if revenue on a site falls below $10,000 per minute, alarms go off! There are also internal performance service-level-agreements for web services where T% of the time, different pages must return in X seconds.
|
| 261 |
+
|
| 262 |
+
### The importance of technology and an increased focus on Artificial Intelligence and Machine Learning
|
| 263 |
+
|
| 264 |
+
According to founder and CEO, Jeff Bezos, technology is very important to supporting this focus on the customer. In their 2010 Annual Report (Amazon, 2011) he said:
|
| 265 |
+
|
| 266 |
+
> “Look inside a current textbook on software architecture, and you’ll find few patterns that we don’t apply at Amazon. We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, [machine learning](https://www.smartinsights.com/managing-digital-marketing/marketing-innovation/15-applications-artificial-intelligence-marketing/) and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques."
|
| 267 |
+
>
|
| 268 |
+
> And while many of our systems are based on the latest in computer science research, this often hasn’t been sufficient: our architects and engineers have had to advance research in directions that no academic had yet taken. Many of the problems we face have no textbook solutions, and so we — happily — invent new approaches”… All the effort we put into technology might not matter that much if we kept technology off to the side in some sort of R&D department, but we don’t take that approach. Technology infuses all of our teams, all of our processes, our decision-making, and our approach to innovation in each of our businesses. It is deeply integrated into everything we do”.
|
| 269 |
+
|
| 270 |
+
The quote shows how applying new technologies is used to give Amazon a competitive edge. A good recent example of this is providing the infrastructure to deliver the Kindle “Whispersync” update to ebook readers. Amazon reported in 2011 that Amazon.com is now selling more Kindle books than paperback books. For every 100 paperback books Amazon has sold, the Company sold 115 Kindle books. Kindle apps are now available on Apple iOS, Android devices and on PCs as part of a “ _Buy Once, Read Anywhere_” proposition which Amazon has developed.
|
| 271 |
+
|
| 272 |
+
Some of the more recent applications of AI at Amazon are highly visible, for example, the Amazon Echo assistant and technology in the Amazon Go convenience store that uses machine vision to eliminate checkout lines.
|
| 273 |
+
|
| 274 |
+
> _In their 2017 report, they describe the increased use of machine learning and AI ‘behind the scenes’ at Amazon:_
|
| 275 |
+
>
|
| 276 |
+
> "much of what we do with machine learning happens beneath the surface. Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, and much more. Though less visible, much of the impact of machine learning will be of this type – quietly but meaningfully improving core operations".
|
| 277 |
+
|
| 278 |
+
[](https://www.smartinsights.com/wp-content/uploads/2021/03/RACE-machine-learning-customer-lifecycle.png)
|
| 279 |
+
|
| 280 |
+
### Amazon Customers
|
| 281 |
+
|
| 282 |
+
Amazon defines what it refers to as three consumer sets customers, seller customers and developer customers.
|
| 283 |
+
|
| 284 |
+
There are over 76 million customer accounts, but just 1.3 million active seller customers in it’s marketplaces and Amazon is seeking to increase this. Amazon is unusual for a retailer in that it identifies “developer customers” who use its Amazon Web Services, which provides access to technology infrastructure such as hosting that developers can use to develop their own web services.
|
| 285 |
+
|
| 286 |
+
Members are also encouraged to join a loyalty program, Amazon Prime, a fee-based membership program in which members receive free or discounted express shipping, in the United States, the United Kingdom, Germany, and Japan.
|
| 287 |
+
|
| 288 |
+
We've got marketing tools and templates to help you compete in a challenging environment, grow your market share, and win more customers. Join thousands of savvy Smart Insights Business Members using our marketing solutions integrated across the RACE Framework to drive the results they need.
|
| 289 |
+
|
| 290 |
+
As we know, e-commerce marketing is all about the customers. Our RACE Growth System down your customer journeys into a simple 5-step structure of plan - reach - act - convert - engage. Create a winning retail e-commerce marketing strategy with Smart Insights, to acquire and retain more customers, and accelerate your ROI. Get started today.
|
| 291 |
+
|
| 292 |
+
### Create your 90-day plan with the RACE Growth System
|
| 293 |
+
|
| 294 |
+
Download your free RACE Growth System guide today and unlock our three-step plan of Opportunity, Strategy and Action to grow your business.
|
| 295 |
+
|
| 296 |
+
[Download guide](https://www.smartinsights.com/insights/create-your-90-day-plan-with-the-race-growth-system/)
|
| 297 |
+
|
| 298 |
+
### Competition
|
| 299 |
+
|
| 300 |
+
In its 2017 SEC filing Amazon describes the environment for our products and services as ‘intensely competitive’. It views its main current and potential competitors as:
|
| 301 |
+
|
| 302 |
+
- 1) online, offline, and multichannel retailers, publishers, vendors, distributors, manufacturers, and producers of the products we offer and sell to consumers and businesses;
|
| 303 |
+
- (2) publishers, producers, and distributors of physical, digital, and interactive media of all types and all distribution channels;
|
| 304 |
+
- (3) web search engines, comparison shopping websites, social networks, web portals, and other online and app-based means of discovering, using, or acquiring goods and services, either directly or in collaboration with other retailers;
|
| 305 |
+
- (4) companies that provide e-commerce services, including website development, advertising, fulfillment, customer service, and payment processing;
|
| 306 |
+
- (5) companies that provide fulfillment and logistics services for themselves or for third parties, whether online or offline;
|
| 307 |
+
- (6) companies that provide information technology services or products, including on- premises or cloud-based infrastructure and other services; and
|
| 308 |
+
- (7) companies that design, manufacture, market, or sell consumer electronics, telecommunication, and electronic devices.
|
| 309 |
+
|
| 310 |
+
It believes the main competitive factors in its market segments include "selection, price, availability, convenience, information, discovery, brand recognition, personalized services, accessibility, customer service, reliability, speed of fulfillment, ease of use, and ability to adapt to changing conditions, as well as our customers’ overall experience and trust in transactions with us and facilitated by us on behalf of third-party sellers".
|
| 311 |
+
|
| 312 |
+
For services offered to business and individual sellers, additional competitive factors include the quality of our services and tools, their ability to generate sales for third parties we serve, and the speed of performance for our services.
|
| 313 |
+
|
| 314 |
+
## From Auctions to marketplaces
|
| 315 |
+
|
| 316 |
+
Amazon auctions (known as zShops) were launched in March 1999, in large part as a response to the success of eBay. They were promoted heavily from the home page, category pages and individual product pages. Despite this, a year after its launch it had only achieved a 3.2% share of the online auction compared to 58% for eBay and it only declined from this point.
|
| 317 |
+
|
| 318 |
+
Today, competitive prices of products are available through third-party sellers in the ‘Amazon Marketplace’ which are integrated within the standard product listings. A winning component of the Amazon marketing strategy for marketplaces was the innovation to offer such an auction facility, initially driven by the need to compete with eBay. But now the strategy has been adjusted such that Amazon describe it as part of the approach of low-pricing.
|
| 319 |
+
|
| 320 |
+
Although it might be thought that Amazon would lose out on enabling its merchants to sell products at lower prices, in fact Amazon makes greater margin on these sales since merchants are charged a commission on each sale and it is the merchant who bears the cost of storing inventory and fulfilling the product to customers. As with eBay, Amazon is just facilitating the exchange of bits and bytes between buyers and sellers without the need to distribute physical products.
|
| 321 |
+
|
| 322 |
+
## Amazon Media sales
|
| 323 |
+
|
| 324 |
+
You may have noticed that unlike some retailers, Amazon displays relevant Google text ads and banner ads from brands. This seems in conflict with the marketing strategy of focus on experience since it leads to a more cluttered store. However in 2011 Amazon revealed that worldwide media sales accounted for approximately 17% of revenue!
|
| 325 |
+
|
| 326 |
+
## Amazon marketing strategy
|
| 327 |
+
|
| 328 |
+
Whilst it does not reveal much about the Amazon marketing strategy approach in its annual reports, but there seems to be a focus on online marketing channels. Amazon (2011) states “we direct customers to our websites primarily through a number of targeted online marketing channels, such as our Associates program, sponsored search, portal advertising, email marketing campaigns, and other initiatives”.
|
| 329 |
+
|
| 330 |
+
These other initiatives may include outdoor and TV advertising, but they are not mentioned specifically. In this statement they also highlight the importance of customer loyalty tools. They say: “while costs associated with free shipping are not included in marketing expense, we view free shipping offers and Amazon Prime as effective worldwide marketing tools, and intend to continue offering them indefinitely”.
|
| 331 |
+
|
| 332 |
+
## How ‘The Culture of Metrics’ started
|
| 333 |
+
|
| 334 |
+
A common theme in Amazon’s development is the drive to use a measured approach to all aspects of the business, beyond the finance. Marcus (2004) describes an occasion at a corporate ‘boot-camp’ in January 1997 when Amazon CEO Jeff Bezos ‘saw the light’. ‘
|
| 335 |
+
|
| 336 |
+
At Amazon, we will have a Culture of Metrics’, he said while addressing his senior staff. He went on to explain how web-based business gave Amazon an ‘amazing window into human behaviour’.
|
| 337 |
+
|
| 338 |
+
Marcus says: ‘Gone were the fuzzy approximations of focus groups, the anecdotal fudging and smoke blowing from the marketing department' - the Amazon marketing strategy was reborn!
|
| 339 |
+
|
| 340 |
+
A company like Amazon could (and did) record every move a visitor made, every last click and twitch of the mouse. As the data piled up into virtual heaps, hummocks and mountain ranges, you could draw all sorts of conclusions about their chimerical nature, the consumer. In this sense, Amazon was not merely a store, but an immense repository of facts. All we needed were the right equations to plug into them’.
|
| 341 |
+
|
| 342 |
+
James Marcus then goes on to give a fascinating insight into a breakout group discussion of how Amazon could better use measures to improve its performance. Marcus was in the Bezos group, brainstorming customer-centric metrics. Marcus (2004) summarises the dialogue, led by Bezos:
|
| 343 |
+
|
| 344 |
+
"First, we figure out which things we’d like to measure on the site", he said.
|
| 345 |
+
|
| 346 |
+
"For example, let’s say we want a metric for customer enjoyment. How could we calculate that?"
|
| 347 |
+
|
| 348 |
+
"There was silence. Then somebody ventured: "How much time each customer spends on the site?"
|
| 349 |
+
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| 350 |
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"Not specific enough", Jeff said.
|
| 351 |
+
|
| 352 |
+
"How about the average number of minutes each customer spends on the site per session" someone else suggested. "If that goes up, they’re having a blast".
|
| 353 |
+
|
| 354 |
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"But how do we factor in the purchase?" I \[Marcus\] said feeling proud of myself.
|
| 355 |
+
|
| 356 |
+
"Is that a measure of enjoyment"?
|
| 357 |
+
|
| 358 |
+
"I think we need to consider the frequency of visits, too", said a dark-haired woman I didn’t recognize.
|
| 359 |
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| 360 |
+
“Lot of folks are still accessing the web with those creepy-crawly modems. Four short visits from them might be just as good as one visit from a guy with a T-1. Maybe better’.
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+
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"Good point", Jeff said. "And anyway, enjoyment is just the start. In the end, we should be measuring customer ecstasy"
|
| 363 |
+
|
| 364 |
+
It is interesting that Amazon was having this debate about the elements of RFM analysis (described in Chapter 6 of Internet Marketing), 1997, after already having achieved $16 million of revenue in the previous year. Of course, this is a minuscule amount compared with today’s billions of dollar turnover. The important point was that this was the start of a focus on metrics which can be seen through the description of Matt Pounds work later in this case study.
|
| 365 |
+
|
| 366 |
+
### Amazon marketing strategy experiments!
|
| 367 |
+
|
| 368 |
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Amazon have created their own internal experimentation platform called a “Weblab” that they use to evaluate improvements to our websites and products. In 2013, they ran 1,976 Weblabs worldwide, up from 1,092 in 2012, and 546 in 2011. Now many companies use AB testing, but this shows the scale of testing at Amazon.
|
| 369 |
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| 370 |
+
One example of how these are applied is a new feature called “Ask an owner”. From a product page, customers can ask any question related to the product, Amazon then route these questions to owners of the product who answer.
|
| 371 |
+
|
| 372 |
+
### From human to software-based recommendations
|
| 373 |
+
|
| 374 |
+
Amazon marketing strategy has developed internal tools to support this ‘Culture of Metrics’. Marcus (2004) describes how the ‘Creator Metrics’ tool shows content creators how well their product listings and product copy are working. For each content editor such as Marcus, it retrieves all recently posted documents including articles, interviews, booklists and features. For each one it then gives a conversion rate to sale plus the number of page views, adds (added to basket) and repels (content requested, but the back button then used).
|
| 375 |
+
|
| 376 |
+
In time, the work of editorial reviewers such as Marcus was marginalised since Amazon found that the majority of visitors used the search tools rather than read editorial and they responded to the personalised recommendations as the matching technology improved (Marcus likens early recommendations techniques to ‘going shopping with the village idiot’).
|
| 377 |
+
|
| 378 |
+
## Experimentation and testing at Amazon.com
|
| 379 |
+
|
| 380 |
+
The ‘Culture of Metrics’ also led to a test-driven approach to improving results at Amazon. Matt Round, speaking at E-metrics 2004 when he was director of personalisation at Amazon describes the philosophy as ‘Data Trumps Intuitions’. He explained how Amazon used to have a lot of arguments about which content and promotion should go on the all important home page or category pages. He described how every category VP wanted top-center and how the Friday meetings about placements for next week were getting ‘too long, too loud, and lacked performance data’.
|
| 381 |
+
|
| 382 |
+
But today ‘automation replaces intuitions’ and real-time experimentation tests are always run to answer these questions since actual consumer behaviour is the best way to decide upon tactics.
|
| 383 |
+
|
| 384 |
+
Marcus (2004) also notes that Amazon has a culture of experiments of which A/B tests are key components. Examples where A/B tests are used include new home page design, moving features around the page, different algorithms for recommendations, changing search relevance rankings. These involve testing a new treatment against a previous control for a limited time of a few days or a week. The system will randomly show one or more treatments to visitors and measure a range of parameters such as units sold and revenue by category (and total), session time, session length, etc. The new features will usually be launched if the desired metrics are statistically significantly better.
|
| 385 |
+
|
| 386 |
+
Statistical tests are a challenge though as distributions are not normal (they have a large mass at zero for example of no purchase) There are other challenges since multiple A/B tests are running every day and A/B tests may overlap and so conflict. There are also longer-term effects where some features are ‘cool’ for the first two weeks and the opposite effect where changing navigation may degrade performance temporarily. Amazon also finds that as its users evolve in their online experience the way they act online has changed. This means that Amazon has to constantly test and evolve its features.
|
| 387 |
+
|
| 388 |
+
With the latest announcement from Google to sunset their [Google Optimize A/B testing](https://support.google.com/optimize/answer/12979939?hl=en), digital marketers will do well to look out for new technology to assist in their testing efforts. We'll keep our members updated with announcements
|
| 389 |
+
|
| 390 |
+
## Amazon.com technology marketing strategy
|
| 391 |
+
|
| 392 |
+
It follows that the Amazon technology infrastructure must readily support this culture of experimentation and this can be difficult to achieved with standardised content management. Amazon has achieved its competitive advantage through developing its technology internally and with a significant investment in this which may not be available to other organisations without the right focus on the online channels.
|
| 393 |
+
|
| 394 |
+
As Amazon explains in SEC (2005) ‘using primarily our own proprietary technologies, as well as technology licensed from third parties, we have implemented numerous features and functionality that simplify and improve the customer shopping experience, enable third parties to sell on our platform, and facilitate our fulfillment and customer service operations. Our current strategy is to focus our development efforts on continuous innovation by creating and enhancing the specialized, proprietary software that is unique to our business, and to license or acquire commercially-developed technology for other applications where available and appropriate. We continually invest in several areas of technology, including our seller platform; A9.com, our wholly-owned subsidiary focused on search technology on www.A9.com and other Amazon sites; web services; and digital initiatives.’
|
| 395 |
+
|
| 396 |
+
Round (2004) describes the technology approach as ‘distributed development and deployment’. Pages such as the home page have a number of content ‘pods’ or ‘slots’ which call web services for features. This makes it relatively easy to change the content in these pods and even change the location of the pods on-screen. Amazon uses a flowable or fluid page design unlike many sites which enables it to make the most of real-estate on-screen.
|
| 397 |
+
|
| 398 |
+
Technology also supports more standard e-retail facilities. SEC (2005) states: ‘We use a set of applications for accepting and validating customer orders, placing and tracking orders with suppliers, managing and assigning inventory to customer orders, and ensuring proper shipment of products to customers. Our transaction-processing systems handle millions of items, a number of different status inquiries, multiple shipping addresses, gift-wrapping requests, and multiple shipment methods. These systems allow the customer to choose whether to receive single or several shipments based on availability and to track the progress of each order. These applications also manage the process of accepting, authorizing, and charging customer credit cards.’
|
| 399 |
+
|
| 400 |
+
### Data-driven Automation
|
| 401 |
+
|
| 402 |
+
Round (2004) said that ‘Data is king at Amazon’. He gave many examples of data driven automation including customer channel preferences; managing the way content is displayed to different user types such as new releases and top-sellers, merchandising and recommendation (showing related products and promotions) and also advertising through paid search (automatic ad generation and bidding).
|
| 403 |
+
|
| 404 |
+
The automated search advertising and bidding system for paid search has had a big impact at Amazon. Sponsored links initially done by humans, but this was unsustainable due to range of products at Amazon. The automated programme generates keywords, writes ad creative, determines best landing page, manages bids, measure conversion rates, profit per converted visitor and updates bids. Again the problem of volume is there, Matt Round described how the book ‘How to Make Love Like a Porn Star’ by Jenna Jameson received tens of thousands of clicks from pornography-related searches, but few actually purchased the book. So the update cycle must be quick to avoid large losses.
|
| 405 |
+
|
| 406 |
+
There is also an automated email measurement and optimization system. The campaign calendar used to be manually managed with relatively weak measurement and it was costly to schedule and use. A new system:
|
| 407 |
+
|
| 408 |
+
- Automatically optimizes content to improve customer experience
|
| 409 |
+
- Avoids sending an e-mail campaign that has low clickthrough or high unsubscribe rate
|
| 410 |
+
- Includes inbox management (avoid sending multiple emails/week)
|
| 411 |
+
- Has growing library of automated email programs covering new releases and recommendations
|
| 412 |
+
|
| 413 |
+
But there are challenges if promotions are too successful if inventory isn’t available.
|
| 414 |
+
|
| 415 |
+
### Your Recommendations
|
| 416 |
+
|
| 417 |
+
Customers Who Bought X…, also bought Y is Amazon’s signature feature. Round (2004) describes how Amazon relies on acquiring and then crunching a massive amount of data. Every purchase, every page viewed and every search is recorded. So there are now to new version, customers who shopped for X also shopped for… and Customers who searched for X also bought… They also have a system codenamed ‘Goldbox’ which is a cross-sell and awareness raising tool. Items are discounted to encourage purchases in new categories!
|
| 418 |
+
|
| 419 |
+
See the original more detailed PDF article on [Amazon personalization / recommendation collaborative filtering system](http://www.cs.umd.edu/~samir/498/Amazon-Recommendations.pdf).
|
| 420 |
+
|
| 421 |
+
He also describes the challenge of techniques for sifting patterns from noise (sensitivity filtering) and clothing and toy catalogues change frequently so recommendations become out of date. The main challenges though are the massive data size arising from millions of customers, millions of items and recommendations made in real time.
|
| 422 |
+
|
| 423 |
+
## Amazon marketing strategy for partnerships
|
| 424 |
+
|
| 425 |
+
As Amazon grew, its share price growth enabled partnership or acquisition with a range of companies in different sectors. Marcus (2004) describes how Amazon partnered with Drugstore.com (pharmacy), Living.com (furniture), Pets.com (pet supplies), Wineshopper.com (wines), HomeGrocer.com (groceries), Sothebys.com (auctions) and Kozmo.com (urban home delivery). In most cases, Amazon purchased an equity stake in these partners, so that it would share in their prosperity. It also charged them fees for placements on the Amazon site to promote and drive traffic to their sites.
|
| 426 |
+
|
| 427 |
+
Similarly, Amazon marketing strategy was to charge publishers for prime-position to promote books on its site which caused an initial hue-and-cry, but this abated when it was realised that paying for prominent placements was widespread in traditional booksellers and supermarkets. Many of these new online companies failed in 1999 and 2000, but Amazon had covered the potential for growth and was not pulled down by these partners, even though for some such as Pets.com it had an investment of 50%.
|
| 428 |
+
|
| 429 |
+
Analysts sometimes refer to ‘Amazoning a sector’ meaning that one company becomes dominant in an online sector such as book retail such that it becomes very difficult for others to achieve market share. In addition to developing, communicating and delivering a very strong proposition, Amazon has been able to consolidate its strength in different sectors through its partnership arrangements and through using technology to facilitate product promotion and distribution via these partnerships. The Amazon retail platform enables other retailers to sell products online using the Amazon user interface and infrastructure through their ‘Syndicated Stores’ programme.
|
| 430 |
+
|
| 431 |
+
For example, in the UK, Waterstones (www.waterstones.co.uk) is one of the largest traditional bookstores. It found competition with online so expensive and challenging, that eventually it entered a partnership arrangement where Amazon markets and distributes its books online in return for a commission online. Similarly, in the US, Borders a large book retailer uses the Amazon merchant platform for distributing its products.
|
| 432 |
+
|
| 433 |
+
Toy retailer Toys R’ Us have a similar arrangement. Such partnerships help Amazon extends its reach into the customer-base of other suppliers, and of course, customers who buy in one category such as books can be encouraged to purchase into other areas such as clothing or electronics.
|
| 434 |
+
|
| 435 |
+
Another form of partnership referred to above is the Amazon Marketplace which enables Amazon customers and other retailers to sell their new and used books and other goods alongside the regular retail listings. A similar partnership approach is the Amazon ‘Merchants@’ program which enables third party merchants (typically larger than those who sell via the Amazon Marketplace) to sell their products via Amazon. Amazon earn fees either through fixed fees or sales commissions per-unit. This arrangement can help customers who get a wider choice of products from a range of suppliers with the convenience of purchasing them through a single checkout process.
|
| 436 |
+
|
| 437 |
+
Finally, Amazon marketing strategy has also facilitated formation of partnerships with smaller companies through its affiliates programme. Internet legend records that Jeff Bezos, the creator of Amazon was chatting to someone at a cocktail party who wanted to sell books about divorce via her web site. Subsequently, Amazon.com launched its Associates Program in July 1996 and it is still going strong.
|
| 438 |
+
|
| 439 |
+
Here, the Amazon marketing strategy has created a tiered performance-based incentives to encourage affiliates to sell more Amazon products.
|
| 440 |
+
|
| 441 |
+
## Amazon Marketing strategy communications
|
| 442 |
+
|
| 443 |
+
In their SEC filings Amazon state that the aims of their communications strategy are (unsurprisingly) to:
|
| 444 |
+
|
| 445 |
+
1. Increase customer traffic to our websites
|
| 446 |
+
2. Create awareness of our products and services
|
| 447 |
+
3. Promote repeat purchases
|
| 448 |
+
4. Develop incremental product and service revenue opportunities
|
| 449 |
+
5. Strengthen and broaden the Amazon.com brand name.
|
| 450 |
+
|
| 451 |
+
Amazon also believes that its most effective marketing communications are a consequence of their focus on continuously improving the customer experience. This then creates word-of-mouth promotion which is effective in acquiring new customers and may also encourage repeat customer visits.
|
| 452 |
+
|
| 453 |
+
As well as this Marcus (2004) describes how Amazon used the personalisation enabled through technology to reach out to a difficult to reach market which Bezos originally called ‘the hard middle’. Bezos’s view was that it was easy to reach 10 people (you called them on the phone) or the ten million people who bought the most popular products (you placed a superbowl ad), but more difficult to reach those in between. The search facilities in the search engine and on the Amazon site, together with its product recommendation features meant that Amazon could connect its products with the interests of these people.
|
| 454 |
+
|
| 455 |
+
Online advertising techniques include paid search marketing, interactive ads on portals, e-mail campaigns and search engine optimisation. These are automated as far as possible as described earlier in the case study. As previously mentioned, the affiliate programme is also important in driving visitors to Amazon and Amazon offers a wide range of methods of linking to its site to help improve conversion.
|
| 456 |
+
|
| 457 |
+
For example, affiliates can use straight text links leading direct to a product page and they also offer a range of dynamic banners which feature different content such as books about Internet marketing or a search box.
|
| 458 |
+
|
| 459 |
+
Amazon also use cooperative advertising arrangements, better known as ‘contra-deals’ with some vendors and other third parties. For example, a print advertisement in 2005 for a particular product such as a wireless router with a free wireless laptop card promotion will feature a specific Amazon URL in the ad. In product fulfilment packs, Amazon may include a leaflet for a non-competing online company such as Figleaves.com (lingerie) or Expedia (travel). In return, Amazon leaflets may be included in customer communications from the partner brands.
|
| 460 |
+
|
| 461 |
+
Our Associates program directs customers to our websites by enabling independent websites to make millions of products available to their audiences with fulfillment performed by us or third parties. We pay commissions to hundreds of thousands of participants in our Associates program when their customer referrals result in product sales.
|
| 462 |
+
|
| 463 |
+
In addition, we offer everyday free shipping options worldwide and recently announced Amazon.com Prime in the U.S., our first membership program in which members receive free two-day shipping and discounted overnight shipping. Although marketing expenses do not include the costs of our free shipping or promotional offers, we view such offers as effective marketing tools.
|
| 464 |
+
|
| 465 |
+
Marcus, J. (2004) Amazonia. Five years at the epicentre of the dot-com juggernaut, The New Press, New York, NY.
|
| 466 |
+
|
| 467 |
+
Round, M. (2004) Presentation to E-metrics, London, May 2005. www.emetrics.org.
|
| 468 |
+
|
| 469 |
+
[](https://plus.google.com/106251350379622013691/posts)
|
| 470 |
+
|
| 471 |
+

|
| 472 |
+
|
| 473 |
+
By Dave Chaffey
|
| 474 |
+
|
| 475 |
+
Digital strategist Dr Dave Chaffey is co-founder and Content Director of online marketing training platform and publisher Smart Insights. 'Dr Dave' is known for his strategic, but practical, data-driven advice. He has trained and consulted with many business of all sizes in most sectors. These include large international B2B and B2C brands including 3M, BP, Barclaycard, Dell, Confused.com, HSBC, Mercedes-Benz, Microsoft, M&G Investment, Rentokil Initial, O2, Royal Canin (Mars Group) plus many smaller businesses.
|
| 476 |
+
|
| 477 |
+
Dave is editor of the templates, guides and courses in our digital marketing resource library used by our Business members to plan, manage and optimize their marketing. Free members can access our [free sample templates here](https://www.smartinsights.com/membership/basic-letter/).
|
| 478 |
+
|
| 479 |
+
Dave is also keynote speaker, trainer and consultant who is author of 5 bestselling books on digital marketing including _Digital Marketing Excellence_ and _Digital Marketing: Strategy, Implementation and Practice_.
|
| 480 |
+
|
| 481 |
+
In 2004 he was recognised by the Chartered Institute of Marketing as one of 50 marketing ‘gurus’ worldwide who have helped shape the future of marketing.
|
| 482 |
+
|
| 483 |
+
My personal site, DaveChaffey.com, lists my latest [Digital marketing and E-commerce books and support materials including a digital marketing glossary](http://www.davechaffey.com/books/).
|
| 484 |
+
|
| 485 |
+
[Please connect on LinkedIn to receive updates or ask me a question](https://www.linkedin.com/in/davechaffey/).
|
| 486 |
+
|
| 487 |
+
This blog post has been tagged with:
|
| 488 |
+
|
| 489 |
+
[Amazon](https://www.smartinsights.com/tag/amazon/ "Amazon Tag") [Digital marketing and e-commerce for online retailers](https://www.smartinsights.com/tag/ecommerce/ "Digital marketing and e-commerce for online retailers Tag") [Digital strategy](https://www.smartinsights.com/tag/digital-strategy/ "Digital strategy Tag") [E-commerce Strategy](https://www.smartinsights.com/tag/ecommerce-strategy/ "E-commerce Strategy Tag") [Marketing strategy](https://www.smartinsights.com/tag/marketing-strategy/ "Marketing strategy Tag") [Omnichannel retail](https://www.smartinsights.com/tag/omnichannel/ "Omnichannel retail Tag") [Online retail merchandising](https://www.smartinsights.com/tag/online-retail-merchandising/ "Online retail merchandising Tag") [Retailing](https://www.smartinsights.com/tag/retailing/ "Retailing Tag")
|
| 490 |
+
|
| 491 |
+
Digital marketing strategy and planning Toolkit
|
| 492 |
+
|
| 493 |
+
|
| 494 |
+
Turbocharge your results with this toolkit containing 11 resources
|
| 495 |
+
|
| 496 |
+
|
| 497 |
+
- [Digital marketing models guide](https://www.smartinsights.com/guides/digital-marketing-models/)
|
| 498 |
+
- [Digital marketing strategy guide](https://www.smartinsights.com/guides/digital-marketing-strategy-guide-7-steps-to-success/)
|
| 499 |
+
- [Digital marketing plan workbook](https://www.smartinsights.com/guides/digital-marketing-plan-workbook/)
|
| 500 |
+
- [View the Toolkit](https://www.smartinsights.com/improve/digital-marketing-strategy-planning-toolkit)
|
| 501 |
+
|
| 502 |
+

|
| 503 |
+
|
| 504 |
+
#### FREE marketing planning templates
|
| 505 |
+
|
| 506 |
+
Start your Digital Marketing Plan today with our Free membership.
|
| 507 |
+
|
| 508 |
+
- **FREE** practical guides to review your approach
|
| 509 |
+
- **FREE** digital marketing plan templates
|
| 510 |
+
- **FREE** alerts on the latest developments
|
| 511 |
+
|
| 512 |
+
[Access FREE templates](https://www.smartinsights.com/membership/basic-letter/)
|
| 513 |
+
|
| 514 |
+
#### Solutions to your marketing challenges
|
| 515 |
+
|
| 516 |
+
- [Content Marketing](https://www.smartinsights.com/improve/content-marketing-toolkit/ "Content Marketing")
|
| 517 |
+
- [Digital Marketing Strategy and Planning](https://www.smartinsights.com/improve/digital-marketing-strategy-planning-toolkit/ "Digital Marketing Strategy and Planning")
|
| 518 |
+
- [Digital Transformation](https://www.smartinsights.com/improve/digital-transformation-toolkit/ "Digital Transformation")
|
| 519 |
+
- [Email Marketing and Marketing Automation](https://www.smartinsights.com/improve/email-marketing-toolkit/ "Email Marketing and Marketing Automation")
|
| 520 |
+
- [Google Ads](https://www.smartinsights.com/guides/google-ads-7-steps-to-success-guide/ "Google Ads")
|
| 521 |
+
- [Google Analytics](https://www.smartinsights.com/improve/google-analytics-toolkit/ "Google Analytics")
|
| 522 |
+
- [Managing Digital Branding](https://www.smartinsights.com/improve/managing-digital-branding/ "Managing Digital Branding")
|
| 523 |
+
- [Managing Digital Marketing Teams](https://www.smartinsights.com/improve/managing-digital-marketing-teams/ "Managing Digital Marketing Teams")
|
| 524 |
+
- [Managing International Marketing](https://www.smartinsights.com/improve/managing-international-marketing/ "Managing International Marketing")
|
| 525 |
+
- [Marketing Campaign Planning](https://www.smartinsights.com/improve/marketing-campaign-planning-toolkit/ "Marketing Campaign Planning")
|
| 526 |
+
- [Marketing Strategy and Planning](https://www.smartinsights.com/improve/marketing-strategy-planning/ "Marketing Strategy and Planning")
|
| 527 |
+
- [Multichannel lifecycle marketing](https://www.smartinsights.com/improve/multichannel-lifecycle-marketing/ "Multichannel lifecycle marketing")
|
| 528 |
+
- [Search Engine Optimisation (SEO)](https://www.smartinsights.com/improve/search-engine-optimisation-seo-toolkit/ "Search Engine Optimisation (SEO)")
|
| 529 |
+
- [Social Media Marketing](https://www.smartinsights.com/improve/social-media-marketing-toolkit/ "Social Media Marketing")
|
| 530 |
+
|
| 531 |
+
#### Expert advice by sector
|
| 532 |
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|
| 533 |
+
- [Agency](https://www.smartinsights.com/improve/agency-growth-management-toolkit/ "Agency Sector")
|
| 534 |
+
- [Business-to-Business (B2B)](https://www.smartinsights.com/improve/business-business-b2b-toolkit/ "Business-to-Business (B2B) Sector")
|
| 535 |
+
- [Charity and Not-For-Profit](https://www.smartinsights.com/improve/charity-not-profits/ "Charity and Not-For-Profit Sector")
|
| 536 |
+
- [E-commerce and Retail](https://www.smartinsights.com/improve/ecommerce-retail-digital-marketing/ "E-commerce and Retail Sector")
|
| 537 |
+
- [Sector Technology Innovation](https://www.smartinsights.com/improve/sector-technology-innovation/ "Sector Technology Innovation")
|
| 538 |
+
- [Startups and Small Businesses](https://www.smartinsights.com/improve/start-up-and-small-business-toolkits/ "Startups and Small Businesses Sector")
|
| 539 |
+
|
| 540 |
+

|
| 541 |
+
|
| 542 |
+
#### Improve your digital marketing skills with our FREE guides and templates
|
| 543 |
+
|
| 544 |
+
[Access them now](https://www.smartinsights.com/membership/basic-letter/)
|
| 545 |
+
|
| 546 |
+

|
| 547 |
+
|
| 548 |
+
## Join the Conversation
|
| 549 |
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|
| 550 |
+
[Twitter](https://www.twitter.com/smartinsights) [Facebook](https://www.facebook.com/pages/Smart-Insights/102173513156313) [Community](https://www.facebook.com/groups/smartinsights/) [LinkedIn](https://www.linkedin.com/company/smart-insights-marketing-intelligence-limited) [Instagram](https://www.instagram.com/smart_insights/)
|
| 551 |
+
|
| 552 |
+
Recommended Blog Posts
|
| 553 |
+
|
| 554 |
+
[By Dave Chaffey](https://www.smartinsights.com/author/davechaffey/)
|
| 555 |
+
28 Oct 2024
|
| 556 |
+
|
| 557 |
+
[**Latest Gartner Hype Cycles for Digital Marketing: 2009-2024** \\
|
| 558 |
+
Evaluating technology options for innovation in marketing – do you know your Hype Cycles? If you’re involved in marketing strategy development, you will be constantly making judgments and reviewing with colleagues which digital technology innovations are most relevant to your …..](https://www.smartinsights.com/managing-digital-marketing/marketing-innovation/technology-for-innovation-in-marketing/ "Latest Gartner Hype Cycles for Digital Marketing: 2009-2024")
|
| 559 |
+
|
| 560 |
+
[Marketing innovation](https://www.smartinsights.com/marketing-innovation)
|
| 561 |
+
|
| 562 |
+
Essential 
|
| 563 |
+
|
| 564 |
+
[By Gabrielle Wright](https://www.smartinsights.com/author/gabrielle-wrightsmartinsights-com/)
|
| 565 |
+
17 Sep 2024
|
| 566 |
+
|
| 567 |
+
[**Three digital marketing plan examples** \\
|
| 568 |
+
From B2B to E-commerce to Brands, we’ve got examples of digital marketing plans for early startups through to multinational enterprises Whether you’re starting from scratch, or improving your existing plans, examples of digital marketing plans help marketers see the how, …..](https://www.smartinsights.com/digital-marketing-strategy/three-digital-marketing-plan-examples/ "Three digital marketing plan examples")
|
| 569 |
+
|
| 570 |
+
[Digital marketing strategy](https://www.smartinsights.com/digital-marketing-strategy)
|
| 571 |
+
|
| 572 |
+
Advanced 
|
| 573 |
+
|
| 574 |
+
[By Dave Chaffey](https://www.smartinsights.com/author/davechaffey/)
|
| 575 |
+
02 Sep 2024
|
| 576 |
+
|
| 577 |
+
[**10 Actionable Digital Marketing Trends for 2025** \\
|
| 578 |
+
Dr Dave Chaffey’s practical review of the marketing trends that will matter for B2C and B2B marketers in 2025 I’ve been writing reviews of the latest digital marketing innovations for well over 10 years now; spurred on since they seem …..](https://www.smartinsights.com/digital-marketing-strategy/digital-marketing-trends-2025/ "10 Actionable Digital Marketing Trends for 2025")
|
| 579 |
+
|
| 580 |
+
[Digital marketing strategy](https://www.smartinsights.com/digital-marketing-strategy)
|
| 581 |
+
|
| 582 |
+
Essential 
|
| 583 |
+
|
| 584 |
+

|
| 585 |
+
|
| 586 |
+
Discover the Future of Digital Marketing
|
| 587 |
+
|
| 588 |
+
Uncover key digital marketing trends shaping the future of marketing with insights from our FREE research report
|
| 589 |
+
|
| 590 |
+
Get the FREE ReportNo thanks
|
ss
ADDED
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@@ -0,0 +1,219 @@
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|
|
| 1 |
+
import requests
|
| 2 |
+
import logging
|
| 3 |
+
from datetime import datetime
|
| 4 |
+
from bs4 import BeautifulSoup
|
| 5 |
+
import json
|
| 6 |
+
|
| 7 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 8 |
+
|
| 9 |
+
SERP_API_KEY = "ab5994a0325d006f6567d50536425e38ed348e96bb7db92be50c07adb92e7dd3"
|
| 10 |
+
|
| 11 |
+
def get_serp_data(query):
|
| 12 |
+
"""
|
| 13 |
+
Get data from SerpAPI for both trends and search results
|
| 14 |
+
"""
|
| 15 |
+
# Get Google Search results
|
| 16 |
+
search_params = {
|
| 17 |
+
"engine": "google",
|
| 18 |
+
"q": f"{query} market analysis",
|
| 19 |
+
"num": 10,
|
| 20 |
+
"api_key": SERP_API_KEY
|
| 21 |
+
}
|
| 22 |
+
|
| 23 |
+
search_response = requests.get("https://serpapi.com/search", params=search_params)
|
| 24 |
+
search_data = search_response.json()
|
| 25 |
+
|
| 26 |
+
# Extract relevant information from search results
|
| 27 |
+
market_info = extract_market_info(search_data, query)
|
| 28 |
+
|
| 29 |
+
return market_info
|
| 30 |
+
|
| 31 |
+
def extract_market_info(search_data, query):
|
| 32 |
+
"""
|
| 33 |
+
Extract and process market information from search results
|
| 34 |
+
"""
|
| 35 |
+
market_info = {
|
| 36 |
+
"market_size": None,
|
| 37 |
+
"growth_rate": None,
|
| 38 |
+
"competitors": [],
|
| 39 |
+
"trends": [],
|
| 40 |
+
"key_findings": []
|
| 41 |
+
}
|
| 42 |
+
|
| 43 |
+
if 'organic_results' in search_data:
|
| 44 |
+
for result in search_data['organic_results']:
|
| 45 |
+
# Extract market size and growth information from snippets
|
| 46 |
+
snippet = result.get('snippet', '').lower()
|
| 47 |
+
title = result.get('title', '').lower()
|
| 48 |
+
|
| 49 |
+
# Look for market size information
|
| 50 |
+
if 'market size' in snippet or 'market value' in snippet:
|
| 51 |
+
market_info['market_size'] = extract_market_size(snippet)
|
| 52 |
+
|
| 53 |
+
# Look for growth rate information
|
| 54 |
+
if 'cagr' in snippet or 'growth rate' in snippet:
|
| 55 |
+
market_info['growth_rate'] = extract_growth_rate(snippet)
|
| 56 |
+
|
| 57 |
+
# Extract competitor information
|
| 58 |
+
if 'competitor' in title or 'player' in title:
|
| 59 |
+
competitors = extract_competitors(snippet)
|
| 60 |
+
market_info['competitors'].extend(competitors)
|
| 61 |
+
|
| 62 |
+
# Extract key findings
|
| 63 |
+
market_info['key_findings'].append({
|
| 64 |
+
'title': result.get('title', ''),
|
| 65 |
+
'snippet': result.get('snippet', ''),
|
| 66 |
+
'source': result.get('source', ''),
|
| 67 |
+
'date': result.get('date', '')
|
| 68 |
+
})
|
| 69 |
+
|
| 70 |
+
# Get additional data through web scraping
|
| 71 |
+
try:
|
| 72 |
+
additional_data = scrape_additional_data(query)
|
| 73 |
+
market_info.update(additional_data)
|
| 74 |
+
except Exception as e:
|
| 75 |
+
print(f"Error scraping additional data: {e}")
|
| 76 |
+
|
| 77 |
+
return market_info
|
| 78 |
+
|
| 79 |
+
def extract_market_size(text):
|
| 80 |
+
"""
|
| 81 |
+
Extract market size information from text
|
| 82 |
+
"""
|
| 83 |
+
import re
|
| 84 |
+
# Look for currency amounts
|
| 85 |
+
currency_pattern = r'\$?\d+(?:\.\d+)?\s*(?:billion|million|trillion|B|M|T)'
|
| 86 |
+
matches = re.findall(currency_pattern, text)
|
| 87 |
+
if matches:
|
| 88 |
+
return matches[0]
|
| 89 |
+
return None
|
| 90 |
+
|
| 91 |
+
def extract_growth_rate(text):
|
| 92 |
+
"""
|
| 93 |
+
Extract growth rate information from text
|
| 94 |
+
"""
|
| 95 |
+
import re
|
| 96 |
+
# Look for percentage values
|
| 97 |
+
percentage_pattern = r'\d+(?:\.\d+)?%'
|
| 98 |
+
matches = re.findall(percentage_pattern, text)
|
| 99 |
+
if matches:
|
| 100 |
+
return matches[0]
|
| 101 |
+
return None
|
| 102 |
+
|
| 103 |
+
def extract_competitors(text):
|
| 104 |
+
"""
|
| 105 |
+
Extract competitor information from text
|
| 106 |
+
"""
|
| 107 |
+
competitors = []
|
| 108 |
+
# Split text into sentences
|
| 109 |
+
sentences = text.split('.')
|
| 110 |
+
for sentence in sentences:
|
| 111 |
+
if any(keyword in sentence.lower() for keyword in ['competitor', 'player', 'company', 'vendor']):
|
| 112 |
+
# Extract company names (simple approach)
|
| 113 |
+
words = sentence.split()
|
| 114 |
+
for i in range(len(words)-1):
|
| 115 |
+
if words[i][0].isupper():
|
| 116 |
+
competitors.append(words[i])
|
| 117 |
+
return list(set(competitors))
|
| 118 |
+
|
| 119 |
+
def scrape_additional_data(query):
|
| 120 |
+
"""
|
| 121 |
+
Scrape additional market data from relevant websites
|
| 122 |
+
"""
|
| 123 |
+
headers = {
|
| 124 |
+
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
|
| 125 |
+
}
|
| 126 |
+
|
| 127 |
+
# List of websites to scrape
|
| 128 |
+
urls = [
|
| 129 |
+
f"https://www.marketsandmarkets.com/search.asp?search={query}",
|
| 130 |
+
f"https://www.grandviewresearch.com/search/{query}"
|
| 131 |
+
]
|
| 132 |
+
|
| 133 |
+
additional_data = {
|
| 134 |
+
"market_trends": [],
|
| 135 |
+
"industry_insights": []
|
| 136 |
+
}
|
| 137 |
+
|
| 138 |
+
for url in urls:
|
| 139 |
+
try:
|
| 140 |
+
response = requests.get(url, headers=headers, timeout=10)
|
| 141 |
+
if response.ok:
|
| 142 |
+
soup = BeautifulSoup(response.text, 'html.parser')
|
| 143 |
+
|
| 144 |
+
# Extract relevant information based on the website structure
|
| 145 |
+
paragraphs = soup.find_all('p')
|
| 146 |
+
for p in paragraphs:
|
| 147 |
+
text = p.get_text().strip()
|
| 148 |
+
if len(text) > 100: # Filter out short paragraphs
|
| 149 |
+
additional_data["industry_insights"].append(text)
|
| 150 |
+
|
| 151 |
+
# Look for trend information
|
| 152 |
+
trend_elements = soup.find_all(['h2', 'h3', 'h4'])
|
| 153 |
+
for element in trend_elements:
|
| 154 |
+
text = element.get_text().strip()
|
| 155 |
+
if any(keyword in text.lower() for keyword in ['trend', 'growth', 'forecast', 'outlook']):
|
| 156 |
+
additional_data["market_trends"].append(text)
|
| 157 |
+
|
| 158 |
+
except Exception as e:
|
| 159 |
+
print(f"Error scraping {url}: {e}")
|
| 160 |
+
continue
|
| 161 |
+
|
| 162 |
+
return additional_data
|
| 163 |
+
|
| 164 |
+
def generate_market_analysis(market_info):
|
| 165 |
+
"""
|
| 166 |
+
Generate comprehensive market analysis from collected data
|
| 167 |
+
"""
|
| 168 |
+
analysis = f"""
|
| 169 |
+
Market Analysis Report
|
| 170 |
+
|
| 171 |
+
1. Market Overview:
|
| 172 |
+
{'- Market Size: ' + str(market_info['market_size']) if market_info['market_size'] else '- Market Size: Not available'}
|
| 173 |
+
{'- Growth Rate: ' + str(market_info['growth_rate']) if market_info['growth_rate'] else '- Growth Rate: Not available'}
|
| 174 |
+
|
| 175 |
+
2. Key Competitors:
|
| 176 |
+
{chr(10).join(['- ' + comp for comp in market_info['competitors'][:5]]) if market_info['competitors'] else '- No specific competitors identified'}
|
| 177 |
+
|
| 178 |
+
3. Market Trends:
|
| 179 |
+
{chr(10).join(['- ' + trend for trend in market_info['market_trends'][:3]]) if market_info['market_trends'] else '- No specific trends identified'}
|
| 180 |
+
|
| 181 |
+
4. Key Findings:
|
| 182 |
+
{chr(10).join(['- ' + finding['snippet'][:200] + '...' for finding in market_info['key_findings'][:3]])}
|
| 183 |
+
|
| 184 |
+
5. Industry Insights:
|
| 185 |
+
{chr(10).join(['- ' + insight[:200] + '...' for insight in market_info['industry_insights'][:2]]) if market_info['industry_insights'] else '- No additional insights available'}
|
| 186 |
+
"""
|
| 187 |
+
return analysis
|
| 188 |
+
|
| 189 |
+
def main():
|
| 190 |
+
while True:
|
| 191 |
+
query = input("\nEnter a market or industry to analyze (or 'quit' to exit): ").strip()
|
| 192 |
+
if query.lower() == 'quit':
|
| 193 |
+
break
|
| 194 |
+
|
| 195 |
+
print(f"\nAnalyzing market for: {query}")
|
| 196 |
+
print("Fetching data...")
|
| 197 |
+
|
| 198 |
+
try:
|
| 199 |
+
# Get market data
|
| 200 |
+
market_info = get_serp_data(query)
|
| 201 |
+
|
| 202 |
+
# Generate and print analysis
|
| 203 |
+
analysis = generate_market_analysis(market_info)
|
| 204 |
+
print("\n" + "="*50)
|
| 205 |
+
print(analysis)
|
| 206 |
+
print("="*50)
|
| 207 |
+
|
| 208 |
+
# Save results to file
|
| 209 |
+
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
|
| 210 |
+
filename = f"market_analysis_{query}_{timestamp}.json"
|
| 211 |
+
with open(filename, 'w') as f:
|
| 212 |
+
json.dump(market_info, f, indent=2)
|
| 213 |
+
print(f"\nDetailed results saved to {filename}")
|
| 214 |
+
|
| 215 |
+
except Exception as e:
|
| 216 |
+
print(f"Error during analysis: {e}")
|
| 217 |
+
|
| 218 |
+
if __name__ == "__main__":
|
| 219 |
+
main()
|
ss.py
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Install with pip install firecrawl-py
|
| 2 |
+
from firecrawl import FirecrawlApp
|
| 3 |
+
|
| 4 |
+
app = FirecrawlApp(api_key='fc-b936b2eb6a3f4d2aaba86486180d41f1')
|
| 5 |
+
|
| 6 |
+
response = app.scrape_url(url='https://amzscout.net/blog/amazon-competitors/', params={
|
| 7 |
+
'formats': [ 'markdown' ],
|
| 8 |
+
})
|
ss1.py
ADDED
|
@@ -0,0 +1,677 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
| 1 |
+
from googlesearch import search
|
| 2 |
+
import time
|
| 3 |
+
import logging
|
| 4 |
+
from flask import Flask, request, jsonify
|
| 5 |
+
from flask_cors import CORS
|
| 6 |
+
from datetime import datetime
|
| 7 |
+
from firecrawl import FirecrawlApp
|
| 8 |
+
import json
|
| 9 |
+
import os
|
| 10 |
+
from dotenv import load_dotenv
|
| 11 |
+
|
| 12 |
+
# Import Gemini with error handling
|
| 13 |
+
try:
|
| 14 |
+
import google.generativeai as genai
|
| 15 |
+
GEMINI_AVAILABLE = True
|
| 16 |
+
except ImportError:
|
| 17 |
+
GEMINI_AVAILABLE = False
|
| 18 |
+
logging.warning("Gemini API not available. Installing required package...")
|
| 19 |
+
os.system('pip install google-generativeai')
|
| 20 |
+
try:
|
| 21 |
+
import google.generativeai as genai
|
| 22 |
+
GEMINI_AVAILABLE = True
|
| 23 |
+
except ImportError:
|
| 24 |
+
logging.error("Failed to install google-generativeai package")
|
| 25 |
+
GEMINI_AVAILABLE = False
|
| 26 |
+
|
| 27 |
+
app = Flask(__name__)
|
| 28 |
+
CORS(app)
|
| 29 |
+
|
| 30 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 31 |
+
|
| 32 |
+
# Initialize Firecrawl
|
| 33 |
+
FIRECRAWL_API_KEY = os.getenv("FIRECRAWL_API_KEY", "fc-b936b2eb6a3f4d2aaba86486180d41f1")
|
| 34 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 35 |
+
logging.info("Firecrawl initialized")
|
| 36 |
+
|
| 37 |
+
# Initialize Gemini if available
|
| 38 |
+
if GEMINI_AVAILABLE:
|
| 39 |
+
load_dotenv()
|
| 40 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 41 |
+
if GOOGLE_API_KEY:
|
| 42 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 43 |
+
model = genai.GenerativeModel('gemini-pro')
|
| 44 |
+
logging.info("Gemini initialized")
|
| 45 |
+
else:
|
| 46 |
+
logging.warning("No Gemini API key found")
|
| 47 |
+
|
| 48 |
+
# Common helper functions
|
| 49 |
+
def scrape_content(search_queries):
|
| 50 |
+
scraped_content = []
|
| 51 |
+
for query in search_queries:
|
| 52 |
+
try:
|
| 53 |
+
logging.info(f"\nSearching for: {query}")
|
| 54 |
+
search_results = list(search(query, lang="en", num_results=2))
|
| 55 |
+
|
| 56 |
+
for url in search_results:
|
| 57 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 58 |
+
try:
|
| 59 |
+
logging.info(f"Scraping: {url}")
|
| 60 |
+
response = firecrawl_app.scrape_url(
|
| 61 |
+
url=url,
|
| 62 |
+
params={
|
| 63 |
+
'formats': ['markdown']
|
| 64 |
+
}
|
| 65 |
+
)
|
| 66 |
+
|
| 67 |
+
if response and 'markdown' in response:
|
| 68 |
+
content = response['markdown']
|
| 69 |
+
if len(content) > 200:
|
| 70 |
+
logging.info("Successfully scraped content")
|
| 71 |
+
logging.info(f"Content preview:\n{content[:200]}...\n")
|
| 72 |
+
scraped_content.append({
|
| 73 |
+
'url': url,
|
| 74 |
+
'content': content
|
| 75 |
+
})
|
| 76 |
+
break
|
| 77 |
+
except Exception as e:
|
| 78 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 79 |
+
continue
|
| 80 |
+
|
| 81 |
+
time.sleep(2)
|
| 82 |
+
|
| 83 |
+
except Exception as e:
|
| 84 |
+
logging.error(f"Error in search: {str(e)}")
|
| 85 |
+
continue
|
| 86 |
+
|
| 87 |
+
if not scraped_content:
|
| 88 |
+
logging.warning("No content found for any search query")
|
| 89 |
+
return [{
|
| 90 |
+
'url': 'fallback',
|
| 91 |
+
'content': f'No specific data found for {search_queries[0]}. Using general industry knowledge.'
|
| 92 |
+
}]
|
| 93 |
+
|
| 94 |
+
return scraped_content
|
| 95 |
+
|
| 96 |
+
def extract_section(text, section_name):
|
| 97 |
+
"""Extract content from a specific section"""
|
| 98 |
+
try:
|
| 99 |
+
lines = []
|
| 100 |
+
in_section = False
|
| 101 |
+
|
| 102 |
+
for line in text.split('\n'):
|
| 103 |
+
if section_name + ":" in line:
|
| 104 |
+
in_section = True
|
| 105 |
+
continue
|
| 106 |
+
elif any(s + ":" in line for s in [
|
| 107 |
+
"SOCIAL IMPACT", "ECONOMIC IMPACT", "ENVIRONMENTAL IMPACT", "LONG-TERM IMPACT",
|
| 108 |
+
"DEMOGRAPHICS", "PSYCHOGRAPHICS", "PROFESSIONAL CHARACTERISTICS", "PAIN POINTS",
|
| 109 |
+
"PRE-PURCHASE JOURNEY", "PURCHASE EXPERIENCE", "POST-PURCHASE JOURNEY", "OPTIMIZATION OPPORTUNITIES",
|
| 110 |
+
"CURRENT TRENDS", "EMERGING TRENDS", "COMPETITIVE TRENDS", "RECOMMENDATIONS"
|
| 111 |
+
]):
|
| 112 |
+
in_section = False
|
| 113 |
+
elif in_section and line.strip():
|
| 114 |
+
cleaned_line = line.strip('- *').strip()
|
| 115 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 116 |
+
lines.append(cleaned_line)
|
| 117 |
+
|
| 118 |
+
return lines
|
| 119 |
+
except Exception as e:
|
| 120 |
+
logging.error(f"Error extracting section {section_name}: {str(e)}")
|
| 121 |
+
return []
|
| 122 |
+
|
| 123 |
+
# Competitor Analysis Endpoints
|
| 124 |
+
@app.route('/api/competitor-analysis', methods=['POST', 'OPTIONS'])
|
| 125 |
+
def analyze_competitors():
|
| 126 |
+
if request.method == 'OPTIONS':
|
| 127 |
+
return '', 204
|
| 128 |
+
|
| 129 |
+
try:
|
| 130 |
+
data = request.json
|
| 131 |
+
query = data.get('query')
|
| 132 |
+
|
| 133 |
+
if not query:
|
| 134 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 135 |
+
|
| 136 |
+
search_queries = [
|
| 137 |
+
f"{query} competitors analysis",
|
| 138 |
+
f"{query} market share data",
|
| 139 |
+
f"{query} competitive landscape",
|
| 140 |
+
f"{query} industry competitors"
|
| 141 |
+
]
|
| 142 |
+
|
| 143 |
+
scraped_content = scrape_content(search_queries)
|
| 144 |
+
|
| 145 |
+
if not scraped_content:
|
| 146 |
+
return jsonify({
|
| 147 |
+
'error': 'No data found for the given query'
|
| 148 |
+
}), 404
|
| 149 |
+
|
| 150 |
+
prompt = f"""
|
| 151 |
+
Analyze competitors for {query} and provide:
|
| 152 |
+
1. Main competitors (top 5)
|
| 153 |
+
2. Market share data
|
| 154 |
+
3. Competitor strengths
|
| 155 |
+
4. Key findings
|
| 156 |
+
|
| 157 |
+
Content to analyze: {json.dumps(scraped_content)}
|
| 158 |
+
"""
|
| 159 |
+
|
| 160 |
+
response = model.generate_content(prompt)
|
| 161 |
+
analysis = response.text
|
| 162 |
+
|
| 163 |
+
return jsonify({
|
| 164 |
+
"main_competitors": extract_section(analysis, "Main competitors"),
|
| 165 |
+
"market_share_data": extract_section(analysis, "Market share data"),
|
| 166 |
+
"competitor_strengths": extract_section(analysis, "Competitor strengths"),
|
| 167 |
+
"key_findings": extract_section(analysis, "Key findings")
|
| 168 |
+
})
|
| 169 |
+
|
| 170 |
+
except Exception as e:
|
| 171 |
+
logging.error(f"Error during analysis: {str(e)}")
|
| 172 |
+
return jsonify({'error': str(e)}), 500
|
| 173 |
+
|
| 174 |
+
# ICP Analysis Endpoint
|
| 175 |
+
@app.route('/api/icp-analysis', methods=['POST', 'OPTIONS'])
|
| 176 |
+
def analyze_icp():
|
| 177 |
+
if request.method == 'OPTIONS':
|
| 178 |
+
return '', 204
|
| 179 |
+
|
| 180 |
+
try:
|
| 181 |
+
data = request.json
|
| 182 |
+
query = data.get('query')
|
| 183 |
+
|
| 184 |
+
if not query:
|
| 185 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 186 |
+
|
| 187 |
+
search_queries = [
|
| 188 |
+
f"{query} customer profile demographics",
|
| 189 |
+
f"{query} target market analysis",
|
| 190 |
+
f"{query} customer persona"
|
| 191 |
+
]
|
| 192 |
+
|
| 193 |
+
scraped_content = scrape_content(search_queries)
|
| 194 |
+
|
| 195 |
+
if not scraped_content:
|
| 196 |
+
return jsonify({
|
| 197 |
+
'error': 'No data found for the given query'
|
| 198 |
+
}), 404
|
| 199 |
+
|
| 200 |
+
prompt = f"""
|
| 201 |
+
Create ICP analysis for {query} with sections:
|
| 202 |
+
1. Demographics
|
| 203 |
+
2. Psychographics
|
| 204 |
+
3. Professional Characteristics
|
| 205 |
+
4. Pain Points & Needs
|
| 206 |
+
|
| 207 |
+
Content to analyze: {json.dumps(scraped_content)}
|
| 208 |
+
"""
|
| 209 |
+
|
| 210 |
+
response = model.generate_content(prompt)
|
| 211 |
+
analysis = response.text
|
| 212 |
+
|
| 213 |
+
return jsonify({
|
| 214 |
+
"demographics": extract_section(analysis, "Demographics"),
|
| 215 |
+
"psychographics": extract_section(analysis, "Psychographics"),
|
| 216 |
+
"professional": extract_section(analysis, "Professional Characteristics"),
|
| 217 |
+
"pain_points": extract_section(analysis, "Pain Points & Needs")
|
| 218 |
+
})
|
| 219 |
+
|
| 220 |
+
except Exception as e:
|
| 221 |
+
logging.error(f"Error during analysis: {str(e)}")
|
| 222 |
+
return jsonify({'error': str(e)}), 500
|
| 223 |
+
|
| 224 |
+
# Journey Analysis Endpoint
|
| 225 |
+
@app.route('/api/journey-analysis', methods=['POST', 'OPTIONS'])
|
| 226 |
+
def analyze_journey():
|
| 227 |
+
if request.method == 'OPTIONS':
|
| 228 |
+
return '', 204
|
| 229 |
+
|
| 230 |
+
try:
|
| 231 |
+
data = request.json
|
| 232 |
+
query = data.get('query')
|
| 233 |
+
|
| 234 |
+
if not query:
|
| 235 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 236 |
+
|
| 237 |
+
search_queries = [
|
| 238 |
+
f"{query} customer journey analysis",
|
| 239 |
+
f"{query} customer experience touchpoints",
|
| 240 |
+
f"{query} customer buying process"
|
| 241 |
+
]
|
| 242 |
+
|
| 243 |
+
scraped_content = scrape_content(search_queries)
|
| 244 |
+
|
| 245 |
+
if not scraped_content:
|
| 246 |
+
return jsonify({
|
| 247 |
+
'error': 'No data found for the given query'
|
| 248 |
+
}), 404
|
| 249 |
+
|
| 250 |
+
prompt = f"""
|
| 251 |
+
Create customer journey map for {query} with sections:
|
| 252 |
+
1. Pre-Purchase Journey
|
| 253 |
+
2. Purchase Experience
|
| 254 |
+
3. Post-Purchase Journey
|
| 255 |
+
4. Optimization Opportunities
|
| 256 |
+
|
| 257 |
+
Content to analyze: {json.dumps(scraped_content)}
|
| 258 |
+
"""
|
| 259 |
+
|
| 260 |
+
response = model.generate_content(prompt)
|
| 261 |
+
analysis = response.text
|
| 262 |
+
|
| 263 |
+
return jsonify({
|
| 264 |
+
"pre_purchase": extract_section(analysis, "Pre-Purchase Journey"),
|
| 265 |
+
"purchase": extract_section(analysis, "Purchase Experience"),
|
| 266 |
+
"post_purchase": extract_section(analysis, "Post-Purchase Journey"),
|
| 267 |
+
"optimization": extract_section(analysis, "Optimization Opportunities")
|
| 268 |
+
})
|
| 269 |
+
|
| 270 |
+
except Exception as e:
|
| 271 |
+
logging.error(f"Error during analysis: {str(e)}")
|
| 272 |
+
return jsonify({'error': str(e)}), 500
|
| 273 |
+
|
| 274 |
+
# Add SWOT Analysis Endpoint
|
| 275 |
+
@app.route('/api/swot-analysis', methods=['POST', 'OPTIONS'])
|
| 276 |
+
def analyze_swot():
|
| 277 |
+
if request.method == 'OPTIONS':
|
| 278 |
+
return '', 204
|
| 279 |
+
|
| 280 |
+
try:
|
| 281 |
+
data = request.json
|
| 282 |
+
query = data.get('query')
|
| 283 |
+
|
| 284 |
+
if not query:
|
| 285 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 286 |
+
|
| 287 |
+
search_queries = [
|
| 288 |
+
f"{query} SWOT analysis",
|
| 289 |
+
f"{query} strengths weaknesses",
|
| 290 |
+
f"{query} opportunities threats",
|
| 291 |
+
f"{query} competitive analysis"
|
| 292 |
+
]
|
| 293 |
+
|
| 294 |
+
scraped_content = scrape_content(search_queries)
|
| 295 |
+
|
| 296 |
+
if not scraped_content:
|
| 297 |
+
return jsonify({
|
| 298 |
+
'error': 'No data found for the given query'
|
| 299 |
+
}), 404
|
| 300 |
+
|
| 301 |
+
prompt = f"""
|
| 302 |
+
Create SWOT analysis for {query} with sections:
|
| 303 |
+
1. Strengths
|
| 304 |
+
2. Weaknesses
|
| 305 |
+
3. Opportunities
|
| 306 |
+
4. Threats
|
| 307 |
+
|
| 308 |
+
Content to analyze: {json.dumps(scraped_content)}
|
| 309 |
+
"""
|
| 310 |
+
|
| 311 |
+
response = model.generate_content(prompt)
|
| 312 |
+
analysis = response.text
|
| 313 |
+
|
| 314 |
+
return jsonify({
|
| 315 |
+
"strengths": extract_section(analysis, "Strengths"),
|
| 316 |
+
"weaknesses": extract_section(analysis, "Weaknesses"),
|
| 317 |
+
"opportunities": extract_section(analysis, "Opportunities"),
|
| 318 |
+
"threats": extract_section(analysis, "Threats"),
|
| 319 |
+
"sources": [{'url': item['url']} for item in scraped_content]
|
| 320 |
+
})
|
| 321 |
+
|
| 322 |
+
except Exception as e:
|
| 323 |
+
logging.error(f"Error during analysis: {str(e)}")
|
| 324 |
+
return jsonify({'error': str(e)}), 500
|
| 325 |
+
|
| 326 |
+
# Add Gap Analysis Endpoint
|
| 327 |
+
@app.route('/api/gap-analysis', methods=['POST', 'OPTIONS'])
|
| 328 |
+
def analyze_gap():
|
| 329 |
+
if request.method == 'OPTIONS':
|
| 330 |
+
return '', 204
|
| 331 |
+
|
| 332 |
+
try:
|
| 333 |
+
data = request.json
|
| 334 |
+
query = data.get('query')
|
| 335 |
+
|
| 336 |
+
if not query:
|
| 337 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 338 |
+
|
| 339 |
+
search_queries = [
|
| 340 |
+
f"{query} current state analysis",
|
| 341 |
+
f"{query} desired state goals",
|
| 342 |
+
f"{query} performance gaps",
|
| 343 |
+
f"{query} improvement areas"
|
| 344 |
+
]
|
| 345 |
+
|
| 346 |
+
scraped_content = scrape_content(search_queries)
|
| 347 |
+
|
| 348 |
+
if not scraped_content:
|
| 349 |
+
return jsonify({
|
| 350 |
+
'error': 'No data found for the given query'
|
| 351 |
+
}), 404
|
| 352 |
+
|
| 353 |
+
prompt = f"""
|
| 354 |
+
Create gap analysis for {query} with sections:
|
| 355 |
+
1. Current State
|
| 356 |
+
2. Desired State
|
| 357 |
+
3. Identified Gaps
|
| 358 |
+
4. Recommendations
|
| 359 |
+
|
| 360 |
+
Content to analyze: {json.dumps(scraped_content)}
|
| 361 |
+
"""
|
| 362 |
+
|
| 363 |
+
response = model.generate_content(prompt)
|
| 364 |
+
analysis = response.text
|
| 365 |
+
|
| 366 |
+
return jsonify({
|
| 367 |
+
"current_state": extract_section(analysis, "Current State"),
|
| 368 |
+
"desired_state": extract_section(analysis, "Desired State"),
|
| 369 |
+
"identified_gaps": extract_section(analysis, "Identified Gaps"),
|
| 370 |
+
"recommendations": extract_section(analysis, "Recommendations"),
|
| 371 |
+
"sources": [{'url': item['url']} for item in scraped_content]
|
| 372 |
+
})
|
| 373 |
+
|
| 374 |
+
except Exception as e:
|
| 375 |
+
logging.error(f"Error during analysis: {str(e)}")
|
| 376 |
+
return jsonify({'error': str(e)}), 500
|
| 377 |
+
|
| 378 |
+
# Add Feature Priority Endpoint
|
| 379 |
+
@app.route('/api/feature-priority', methods=['POST', 'OPTIONS'])
|
| 380 |
+
def analyze_features():
|
| 381 |
+
if request.method == 'OPTIONS':
|
| 382 |
+
return '', 204
|
| 383 |
+
|
| 384 |
+
try:
|
| 385 |
+
data = request.json
|
| 386 |
+
query = data.get('query')
|
| 387 |
+
|
| 388 |
+
if not query:
|
| 389 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 390 |
+
|
| 391 |
+
search_queries = [
|
| 392 |
+
f"{query} feature prioritization",
|
| 393 |
+
f"{query} product roadmap",
|
| 394 |
+
f"{query} feature analysis",
|
| 395 |
+
f"{query} development priorities"
|
| 396 |
+
]
|
| 397 |
+
|
| 398 |
+
scraped_content = scrape_content(search_queries)
|
| 399 |
+
|
| 400 |
+
if not scraped_content:
|
| 401 |
+
return jsonify({
|
| 402 |
+
'error': 'No data found for the given query'
|
| 403 |
+
}), 404
|
| 404 |
+
|
| 405 |
+
prompt = f"""
|
| 406 |
+
Create feature priority analysis for {query} with sections:
|
| 407 |
+
1. Social Impact
|
| 408 |
+
2. Economic Impact
|
| 409 |
+
3. Environmental Impact
|
| 410 |
+
4. Implementation Priority
|
| 411 |
+
|
| 412 |
+
Content to analyze: {json.dumps(scraped_content)}
|
| 413 |
+
"""
|
| 414 |
+
|
| 415 |
+
response = model.generate_content(prompt)
|
| 416 |
+
analysis = response.text
|
| 417 |
+
|
| 418 |
+
return jsonify({
|
| 419 |
+
"social_impact": extract_section(analysis, "Social Impact"),
|
| 420 |
+
"economic_impact": extract_section(analysis, "Economic Impact"),
|
| 421 |
+
"environmental_impact": extract_section(analysis, "Environmental Impact"),
|
| 422 |
+
"implementation_priority": extract_section(analysis, "Implementation Priority"),
|
| 423 |
+
"sources": [{'url': item['url']} for item in scraped_content]
|
| 424 |
+
})
|
| 425 |
+
|
| 426 |
+
except Exception as e:
|
| 427 |
+
logging.error(f"Error during analysis: {str(e)}")
|
| 428 |
+
return jsonify({'error': str(e)}), 500
|
| 429 |
+
|
| 430 |
+
# Add Feedback Analysis Endpoint
|
| 431 |
+
@app.route('/api/feedback-analysis', methods=['POST', 'OPTIONS'])
|
| 432 |
+
def analyze_feedback():
|
| 433 |
+
if request.method == 'OPTIONS':
|
| 434 |
+
return '', 204
|
| 435 |
+
|
| 436 |
+
try:
|
| 437 |
+
data = request.json
|
| 438 |
+
query = data.get('query')
|
| 439 |
+
|
| 440 |
+
if not query:
|
| 441 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 442 |
+
|
| 443 |
+
search_queries = [
|
| 444 |
+
f"{query} customer feedback",
|
| 445 |
+
f"{query} user reviews",
|
| 446 |
+
f"{query} customer satisfaction",
|
| 447 |
+
f"{query} user experience"
|
| 448 |
+
]
|
| 449 |
+
|
| 450 |
+
scraped_content = scrape_content(search_queries)
|
| 451 |
+
|
| 452 |
+
if not scraped_content:
|
| 453 |
+
return jsonify({
|
| 454 |
+
'error': 'No data found for the given query'
|
| 455 |
+
}), 404
|
| 456 |
+
|
| 457 |
+
prompt = f"""
|
| 458 |
+
Create feedback analysis for {query} with sections:
|
| 459 |
+
1. Satisfaction Metrics
|
| 460 |
+
2. Product Feedback
|
| 461 |
+
3. Service Feedback
|
| 462 |
+
4. Recommendations
|
| 463 |
+
|
| 464 |
+
Content to analyze: {json.dumps(scraped_content)}
|
| 465 |
+
"""
|
| 466 |
+
|
| 467 |
+
response = model.generate_content(prompt)
|
| 468 |
+
analysis = response.text
|
| 469 |
+
|
| 470 |
+
return jsonify({
|
| 471 |
+
"satisfaction_metrics": extract_section(analysis, "Satisfaction Metrics"),
|
| 472 |
+
"product_feedback": extract_section(analysis, "Product Feedback"),
|
| 473 |
+
"service_feedback": extract_section(analysis, "Service Feedback"),
|
| 474 |
+
"recommendations": extract_section(analysis, "Recommendations"),
|
| 475 |
+
"sources": [{'url': item['url']} for item in scraped_content]
|
| 476 |
+
})
|
| 477 |
+
|
| 478 |
+
except Exception as e:
|
| 479 |
+
logging.error(f"Error during analysis: {str(e)}")
|
| 480 |
+
return jsonify({'error': str(e)}), 500
|
| 481 |
+
|
| 482 |
+
# Add Market Assessment Endpoint
|
| 483 |
+
@app.route('/api/market-assessment', methods=['POST', 'OPTIONS'])
|
| 484 |
+
def analyze_market():
|
| 485 |
+
if request.method == 'OPTIONS':
|
| 486 |
+
return '', 204
|
| 487 |
+
|
| 488 |
+
try:
|
| 489 |
+
data = request.json
|
| 490 |
+
query = data.get('query')
|
| 491 |
+
|
| 492 |
+
if not query:
|
| 493 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 494 |
+
|
| 495 |
+
search_queries = [
|
| 496 |
+
f"{query} market analysis",
|
| 497 |
+
f"{query} market size",
|
| 498 |
+
f"{query} market trends",
|
| 499 |
+
f"{query} market opportunities"
|
| 500 |
+
]
|
| 501 |
+
|
| 502 |
+
scraped_content = scrape_content(search_queries)
|
| 503 |
+
|
| 504 |
+
if not scraped_content:
|
| 505 |
+
return jsonify({
|
| 506 |
+
'error': 'No data found for the given query'
|
| 507 |
+
}), 404
|
| 508 |
+
|
| 509 |
+
prompt = f"""
|
| 510 |
+
Create market assessment for {query} with sections:
|
| 511 |
+
1. Market Overview
|
| 512 |
+
2. Market Dynamics
|
| 513 |
+
3. Competitive Landscape
|
| 514 |
+
4. Future Outlook
|
| 515 |
+
|
| 516 |
+
Content to analyze: {json.dumps(scraped_content)}
|
| 517 |
+
"""
|
| 518 |
+
|
| 519 |
+
response = model.generate_content(prompt)
|
| 520 |
+
analysis = response.text
|
| 521 |
+
|
| 522 |
+
return jsonify({
|
| 523 |
+
"market_overview": extract_section(analysis, "Market Overview"),
|
| 524 |
+
"market_dynamics": extract_section(analysis, "Market Dynamics"),
|
| 525 |
+
"competitive_landscape": extract_section(analysis, "Competitive Landscape"),
|
| 526 |
+
"future_outlook": extract_section(analysis, "Future Outlook"),
|
| 527 |
+
"sources": [{'url': item['url']} for item in scraped_content]
|
| 528 |
+
})
|
| 529 |
+
|
| 530 |
+
except Exception as e:
|
| 531 |
+
logging.error(f"Error during analysis: {str(e)}")
|
| 532 |
+
return jsonify({'error': str(e)}), 500
|
| 533 |
+
|
| 534 |
+
# Add Impact Assessment Endpoint
|
| 535 |
+
@app.route('/api/impact-assessment', methods=['POST', 'OPTIONS'])
|
| 536 |
+
def analyze_impact():
|
| 537 |
+
if request.method == 'OPTIONS':
|
| 538 |
+
return '', 204
|
| 539 |
+
|
| 540 |
+
try:
|
| 541 |
+
data = request.json
|
| 542 |
+
query = data.get('query')
|
| 543 |
+
|
| 544 |
+
if not query:
|
| 545 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 546 |
+
|
| 547 |
+
search_queries = [
|
| 548 |
+
f"{query} social impact",
|
| 549 |
+
f"{query} economic impact",
|
| 550 |
+
f"{query} environmental impact",
|
| 551 |
+
f"{query} long term impact"
|
| 552 |
+
]
|
| 553 |
+
|
| 554 |
+
scraped_content = scrape_content(search_queries)
|
| 555 |
+
|
| 556 |
+
if not scraped_content:
|
| 557 |
+
return jsonify({
|
| 558 |
+
'error': 'No data found for the given query'
|
| 559 |
+
}), 404
|
| 560 |
+
|
| 561 |
+
prompt = f"""
|
| 562 |
+
Create impact assessment for {query} with sections:
|
| 563 |
+
1. Social Impact
|
| 564 |
+
2. Economic Impact
|
| 565 |
+
3. Environmental Impact
|
| 566 |
+
4. Long-term Impact
|
| 567 |
+
|
| 568 |
+
Content to analyze: {json.dumps(scraped_content)}
|
| 569 |
+
"""
|
| 570 |
+
|
| 571 |
+
response = model.generate_content(prompt)
|
| 572 |
+
analysis = response.text
|
| 573 |
+
|
| 574 |
+
return jsonify({
|
| 575 |
+
"social_impact": extract_section(analysis, "Social Impact"),
|
| 576 |
+
"economic_impact": extract_section(analysis, "Economic Impact"),
|
| 577 |
+
"environmental_impact": extract_section(analysis, "Environmental Impact"),
|
| 578 |
+
"long_term_impact": extract_section(analysis, "Long-term Impact"),
|
| 579 |
+
"sources": [{'url': item['url']} for item in scraped_content]
|
| 580 |
+
})
|
| 581 |
+
|
| 582 |
+
except Exception as e:
|
| 583 |
+
logging.error(f"Error during analysis: {str(e)}")
|
| 584 |
+
return jsonify({'error': str(e)}), 500
|
| 585 |
+
|
| 586 |
+
# Add Market Trends Analysis Endpoint
|
| 587 |
+
@app.route('/api/market-trends', methods=['POST', 'OPTIONS'])
|
| 588 |
+
def analyze_trends():
|
| 589 |
+
if request.method == 'OPTIONS':
|
| 590 |
+
return '', 204
|
| 591 |
+
|
| 592 |
+
try:
|
| 593 |
+
data = request.json
|
| 594 |
+
query = data.get('query')
|
| 595 |
+
|
| 596 |
+
if not query:
|
| 597 |
+
return jsonify({'error': 'No query provided'}), 400
|
| 598 |
+
|
| 599 |
+
search_queries = [
|
| 600 |
+
f"{query} market trends analysis",
|
| 601 |
+
f"{query} industry trends",
|
| 602 |
+
f"{query} emerging trends",
|
| 603 |
+
f"{query} future market predictions",
|
| 604 |
+
f"{query} market growth trends"
|
| 605 |
+
]
|
| 606 |
+
|
| 607 |
+
scraped_content = scrape_content(search_queries)
|
| 608 |
+
|
| 609 |
+
if not scraped_content:
|
| 610 |
+
return jsonify({
|
| 611 |
+
'error': 'No data found for the given query'
|
| 612 |
+
}), 404
|
| 613 |
+
|
| 614 |
+
prompt = f"""
|
| 615 |
+
Create comprehensive market trends analysis for {query} with these exact sections:
|
| 616 |
+
|
| 617 |
+
CURRENT TRENDS:
|
| 618 |
+
1. Market Patterns:
|
| 619 |
+
- List current market trends
|
| 620 |
+
2. Consumer Behavior:
|
| 621 |
+
- List changing consumer preferences
|
| 622 |
+
3. Technology Impact:
|
| 623 |
+
- List technological influences
|
| 624 |
+
4. Industry Shifts:
|
| 625 |
+
- List major industry changes
|
| 626 |
+
|
| 627 |
+
EMERGING TRENDS:
|
| 628 |
+
1. Future Predictions:
|
| 629 |
+
- List upcoming trends
|
| 630 |
+
2. Growth Areas:
|
| 631 |
+
- List potential growth sectors
|
| 632 |
+
3. Innovation Trends:
|
| 633 |
+
- List new technologies/approaches
|
| 634 |
+
4. Market Shifts:
|
| 635 |
+
- List expected market changes
|
| 636 |
+
|
| 637 |
+
COMPETITIVE TRENDS:
|
| 638 |
+
1. Strategic Moves:
|
| 639 |
+
- List competitor strategies
|
| 640 |
+
2. Market Positioning:
|
| 641 |
+
- List competitive dynamics
|
| 642 |
+
3. Innovation Focus:
|
| 643 |
+
- List R&D directions
|
| 644 |
+
4. Market Share Trends:
|
| 645 |
+
- List market share changes
|
| 646 |
+
|
| 647 |
+
RECOMMENDATIONS:
|
| 648 |
+
1. Strategic Actions:
|
| 649 |
+
- List recommended actions
|
| 650 |
+
2. Investment Areas:
|
| 651 |
+
- List where to focus resources
|
| 652 |
+
3. Risk Mitigation:
|
| 653 |
+
- List potential risks and solutions
|
| 654 |
+
4. Timeline:
|
| 655 |
+
- List implementation phases
|
| 656 |
+
|
| 657 |
+
Use only factual information from the content. If making logical inferences, mark them with (Inferred).
|
| 658 |
+
Format each point as a clear, actionable item.
|
| 659 |
+
"""
|
| 660 |
+
|
| 661 |
+
response = model.generate_content(prompt)
|
| 662 |
+
analysis = response.text
|
| 663 |
+
|
| 664 |
+
return jsonify({
|
| 665 |
+
"current_trends": extract_section(analysis, "CURRENT TRENDS"),
|
| 666 |
+
"emerging_trends": extract_section(analysis, "EMERGING TRENDS"),
|
| 667 |
+
"competitive_trends": extract_section(analysis, "COMPETITIVE TRENDS"),
|
| 668 |
+
"recommendations": extract_section(analysis, "RECOMMENDATIONS"),
|
| 669 |
+
"sources": [{'url': item['url']} for item in scraped_content]
|
| 670 |
+
})
|
| 671 |
+
|
| 672 |
+
except Exception as e:
|
| 673 |
+
logging.error(f"Error during trends analysis: {str(e)}")
|
| 674 |
+
return jsonify({'error': str(e)}), 500
|
| 675 |
+
|
| 676 |
+
if __name__ == '__main__':
|
| 677 |
+
app.run(port=5000, debug=True)
|
swot_api.py
ADDED
|
@@ -0,0 +1,237 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import logging
|
| 2 |
+
from datetime import datetime
|
| 3 |
+
from firecrawl import FirecrawlApp
|
| 4 |
+
import json
|
| 5 |
+
import os
|
| 6 |
+
import requests
|
| 7 |
+
import time
|
| 8 |
+
import google.generativeai as genai
|
| 9 |
+
|
| 10 |
+
# Initialize logging
|
| 11 |
+
logging.basicConfig(level=logging.DEBUG)
|
| 12 |
+
|
| 13 |
+
# Initialize Firecrawl
|
| 14 |
+
FIRECRAWL_API_KEY = "fc-b69d6504ab0a42b79e87b7827a538199"
|
| 15 |
+
firecrawl_app = FirecrawlApp(api_key=FIRECRAWL_API_KEY)
|
| 16 |
+
logging.info("Firecrawl initialized")
|
| 17 |
+
|
| 18 |
+
# Initialize Gemini
|
| 19 |
+
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY', '')
|
| 20 |
+
if GOOGLE_API_KEY:
|
| 21 |
+
genai.configure(api_key=GOOGLE_API_KEY)
|
| 22 |
+
model = genai.GenerativeModel('gemini-1.5-flash')
|
| 23 |
+
logging.info("Gemini initialized")
|
| 24 |
+
else:
|
| 25 |
+
logging.warning("No Gemini API key found")
|
| 26 |
+
|
| 27 |
+
# Create a folder to store Gemini outputs
|
| 28 |
+
output_folder = 'gemini_outputs'
|
| 29 |
+
os.makedirs(output_folder, exist_ok=True)
|
| 30 |
+
|
| 31 |
+
def extract_domain(url):
|
| 32 |
+
"""Extract domain name from URL"""
|
| 33 |
+
try:
|
| 34 |
+
from urllib.parse import urlparse
|
| 35 |
+
domain = urlparse(url).netloc
|
| 36 |
+
return domain.replace('www.', '')
|
| 37 |
+
except:
|
| 38 |
+
return url
|
| 39 |
+
|
| 40 |
+
def get_swot_data(business_query):
|
| 41 |
+
"""Get SWOT analysis data using custom search API and Firecrawl"""
|
| 42 |
+
logging.info(f"\n{'='*50}\nGathering SWOT data for: {business_query}\n{'='*50}")
|
| 43 |
+
|
| 44 |
+
result = {
|
| 45 |
+
"strengths": [],
|
| 46 |
+
"weaknesses": [],
|
| 47 |
+
"opportunities": [],
|
| 48 |
+
"threats": [],
|
| 49 |
+
"sources": []
|
| 50 |
+
}
|
| 51 |
+
|
| 52 |
+
search_queries = [
|
| 53 |
+
f"{business_query} SWOT analysis",
|
| 54 |
+
f"{business_query} strengths weaknesses",
|
| 55 |
+
f"{business_query} business analysis",
|
| 56 |
+
f"{business_query} competitive analysis",
|
| 57 |
+
f"{business_query} market position analysis"
|
| 58 |
+
]
|
| 59 |
+
|
| 60 |
+
scraped_content = []
|
| 61 |
+
max_attempts = 2
|
| 62 |
+
|
| 63 |
+
for query in search_queries:
|
| 64 |
+
try:
|
| 65 |
+
logging.info(f"\nSearching for: {query}")
|
| 66 |
+
search_results = custom_search_api(query)
|
| 67 |
+
attempts = 0
|
| 68 |
+
|
| 69 |
+
for url in search_results:
|
| 70 |
+
if attempts >= max_attempts:
|
| 71 |
+
break
|
| 72 |
+
|
| 73 |
+
if not any(x in url.lower() for x in ['linkedin', 'facebook', 'twitter']):
|
| 74 |
+
try:
|
| 75 |
+
logging.info(f"Scraping: {url}")
|
| 76 |
+
response = firecrawl_app.scrape_url(
|
| 77 |
+
url=url,
|
| 78 |
+
params={'formats': ['markdown']}
|
| 79 |
+
)
|
| 80 |
+
|
| 81 |
+
if response and 'markdown' in response:
|
| 82 |
+
content = response['markdown']
|
| 83 |
+
if len(content) > 200:
|
| 84 |
+
logging.info("Successfully scraped content")
|
| 85 |
+
scraped_content.append({
|
| 86 |
+
'url': url,
|
| 87 |
+
'domain': extract_domain(url),
|
| 88 |
+
'section': 'SWOT Analysis',
|
| 89 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 90 |
+
'content': content[:1000]
|
| 91 |
+
})
|
| 92 |
+
break
|
| 93 |
+
except Exception as e:
|
| 94 |
+
if "402" in str(e):
|
| 95 |
+
logging.warning(f"Firecrawl credit limit reached for {url}")
|
| 96 |
+
scraped_content.append({
|
| 97 |
+
'url': url,
|
| 98 |
+
'domain': extract_domain(url),
|
| 99 |
+
'section': 'SWOT Analysis (Limited)',
|
| 100 |
+
'date': datetime.now().strftime("%Y-%m-%d"),
|
| 101 |
+
'content': f"Content from {extract_domain(url)} about {business_query}'s SWOT"
|
| 102 |
+
})
|
| 103 |
+
else:
|
| 104 |
+
logging.error(f"Error scraping {url}: {str(e)}")
|
| 105 |
+
attempts += 1
|
| 106 |
+
continue
|
| 107 |
+
|
| 108 |
+
time.sleep(2)
|
| 109 |
+
|
| 110 |
+
except Exception as e:
|
| 111 |
+
logging.error(f"Error in search: {str(e)}")
|
| 112 |
+
continue
|
| 113 |
+
|
| 114 |
+
if scraped_content:
|
| 115 |
+
try:
|
| 116 |
+
prompt = f"""
|
| 117 |
+
Analyze this content about {business_query} and create a detailed SWOT analysis.
|
| 118 |
+
|
| 119 |
+
Content to analyze:
|
| 120 |
+
{[item['content'] for item in scraped_content]}
|
| 121 |
+
|
| 122 |
+
Provide a structured analysis with these exact sections:
|
| 123 |
+
|
| 124 |
+
STRENGTHS:
|
| 125 |
+
• Core Competencies
|
| 126 |
+
• Market Position
|
| 127 |
+
• Resources
|
| 128 |
+
|
| 129 |
+
WEAKNESSES:
|
| 130 |
+
• Internal Limitations
|
| 131 |
+
• Competitive Disadvantages
|
| 132 |
+
• Resource Gaps
|
| 133 |
+
|
| 134 |
+
OPPORTUNITIES:
|
| 135 |
+
• Market Trends
|
| 136 |
+
• Growth Potential
|
| 137 |
+
• Innovation Areas
|
| 138 |
+
|
| 139 |
+
THREATS:
|
| 140 |
+
• Market Risks
|
| 141 |
+
• Competitive Pressures
|
| 142 |
+
• Industry Changes
|
| 143 |
+
|
| 144 |
+
Use factual information where available, mark inferences with (Inferred).
|
| 145 |
+
Format each point as a clear, actionable item.
|
| 146 |
+
"""
|
| 147 |
+
|
| 148 |
+
response = model.generate_content(prompt)
|
| 149 |
+
analysis = response.text
|
| 150 |
+
|
| 151 |
+
# Extract sections
|
| 152 |
+
result["strengths"] = extract_section(analysis, "STRENGTHS")
|
| 153 |
+
result["weaknesses"] = extract_section(analysis, "WEAKNESSES")
|
| 154 |
+
result["opportunities"] = extract_section(analysis, "OPPORTUNITIES")
|
| 155 |
+
result["threats"] = extract_section(analysis, "THREATS")
|
| 156 |
+
|
| 157 |
+
# Save Gemini output to a text file
|
| 158 |
+
with open(os.path.join(output_folder, 'compitoone.txt'), 'w') as f:
|
| 159 |
+
f.write(analysis)
|
| 160 |
+
|
| 161 |
+
# Add sources
|
| 162 |
+
result["sources"] = [{
|
| 163 |
+
'url': item['url'],
|
| 164 |
+
'domain': item['domain'],
|
| 165 |
+
'section': item['section'],
|
| 166 |
+
'date': item['date']
|
| 167 |
+
} for item in scraped_content]
|
| 168 |
+
|
| 169 |
+
return result
|
| 170 |
+
|
| 171 |
+
except Exception as e:
|
| 172 |
+
logging.error(f"Error generating analysis: {str(e)}")
|
| 173 |
+
return generate_fallback_response(business_query)
|
| 174 |
+
|
| 175 |
+
return generate_fallback_response(business_query)
|
| 176 |
+
|
| 177 |
+
def custom_search_api(query):
|
| 178 |
+
"""Perform a custom search using the Google Custom Search API"""
|
| 179 |
+
api_key = "AIzaSyAxeLlJ6vZxOl-TblUJg_dInBS3vNxaFVY"
|
| 180 |
+
search_engine_id = "37793b12975da4e35"
|
| 181 |
+
url = f"https://www.googleapis.com/customsearch/v1?key={api_key}&cx={search_engine_id}&q={query}&num=2"
|
| 182 |
+
|
| 183 |
+
response = requests.get(url)
|
| 184 |
+
if response.status_code == 200:
|
| 185 |
+
search_results = response.json().get('items', [])
|
| 186 |
+
return [item['link'] for item in search_results]
|
| 187 |
+
else:
|
| 188 |
+
logging.error(f"Error in custom search API: {response.status_code} - {response.text}")
|
| 189 |
+
return []
|
| 190 |
+
|
| 191 |
+
def extract_section(text, section_name):
|
| 192 |
+
"""Extract content from a specific section"""
|
| 193 |
+
try:
|
| 194 |
+
lines = []
|
| 195 |
+
in_section = False
|
| 196 |
+
|
| 197 |
+
for line in text.split('\n'):
|
| 198 |
+
if section_name + ":" in line:
|
| 199 |
+
in_section = True
|
| 200 |
+
continue
|
| 201 |
+
elif any(s + ":" in line for s in ["STRENGTHS", "WEAKNESSES", "OPPORTUNITIES", "THREATS"]):
|
| 202 |
+
in_section = False
|
| 203 |
+
elif in_section and line.strip():
|
| 204 |
+
cleaned_line = line.strip('- *').strip()
|
| 205 |
+
if cleaned_line and not cleaned_line.endswith(':'):
|
| 206 |
+
lines.append(cleaned_line)
|
| 207 |
+
|
| 208 |
+
return lines
|
| 209 |
+
except Exception as e:
|
| 210 |
+
logging.error(f"Error extracting section {section_name}: {str(e)}")
|
| 211 |
+
return []
|
| 212 |
+
|
| 213 |
+
def generate_fallback_response(business_query):
|
| 214 |
+
"""Generate basic SWOT analysis when no data is found"""
|
| 215 |
+
return {
|
| 216 |
+
"strengths": [
|
| 217 |
+
f"Core competencies of {business_query} pending analysis (Inferred)",
|
| 218 |
+
"Market position assessment needed (Inferred)",
|
| 219 |
+
"Resource evaluation in progress (Inferred)"
|
| 220 |
+
],
|
| 221 |
+
"weaknesses": [
|
| 222 |
+
"Internal limitations being identified (Inferred)",
|
| 223 |
+
"Competitive disadvantages under review (Inferred)",
|
| 224 |
+
"Resource gaps to be assessed (Inferred)"
|
| 225 |
+
],
|
| 226 |
+
"opportunities": [
|
| 227 |
+
"Market trend analysis pending (Inferred)",
|
| 228 |
+
"Growth potential being evaluated (Inferred)",
|
| 229 |
+
"Innovation opportunities to be identified (Inferred)"
|
| 230 |
+
],
|
| 231 |
+
"threats": [
|
| 232 |
+
"Market risk assessment needed (Inferred)",
|
| 233 |
+
"Competitive pressure analysis pending (Inferred)",
|
| 234 |
+
"Industry change impact to be evaluated (Inferred)"
|
| 235 |
+
],
|
| 236 |
+
"sources": []
|
| 237 |
+
}
|