Buckets:
| from typing import List, Dict, Any | |
| def get_targeting_suggestions(platform: str, niche: str) -> Dict[str, Any]: | |
| """Suggests precise targeting parameters.""" | |
| if platform.lower() == "meta": | |
| return { | |
| "interests": [f"{niche}", "Small Business Owners", "Online Shopping", "Entrepreneurship"], | |
| "behaviors": ["Ads Manager Admins", "Facebook Page Admins (Business)"], | |
| "age": "25-54", | |
| "placements": ["Instagram Feed", "Facebook Stories", "Reels"] | |
| } | |
| elif platform.lower() == "google": | |
| return { | |
| "keywords": [f"best {niche}", f"how to solve [Problem] in {niche}", f"{niche} software", f"buy {niche} tools"], | |
| "intent_segments": ["In-market for Business Technology", "Affinity: Tech Enthusiasts"] | |
| } | |
| elif platform.lower() == "linkedin": | |
| return { | |
| "job_titles": ["Founder", "CEO", "Marketing Manager", "Owner"], | |
| "industries": [f"{niche}", "Software Development", "Information Technology"], | |
| "company_size": ["1-10", "11-50"] | |
| } | |
| return {"error": f"Platform '{platform}' targeting data not available."} | |
Xet Storage Details
- Size:
- 1.16 kB
- Xet hash:
- a13ee274fe77eb65a6a183ec7784079cd49a242277a5d03d3809d39d42f80e92
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.