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README.md
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title: SEO ROI
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emoji: π
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colorFrom:
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colorTo: green
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sdk:
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sdk_version: "
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app_file: app.py
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pinned:
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#
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This tool helps
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The file should contain columns like `query`, `impressions`, and `position`.
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- Target ranking position (e.g., position 4)
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- Conversion rate: visitor β lead
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- Close rate: lead β customer
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- Monthly Recurring Revenue (MRR) per customer
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- Your total SEO investment
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3. **Opportunity Identification**
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The app focuses on keywords ranking in **positions 5β20**, simulating gains if they were improved to the target position.
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4. **Business Impact Forecasting**
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Using CTR benchmarks, the tool estimates:
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- Additional traffic
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- New leads and customers
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- Incremental MRR
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- ROI based on your SEO cost
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5. **Prioritized Output**
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Keywords are labeled as **High ROI**, **Moderate ROI**, or **Low Priority**, sorted by forecasted MRR.
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---
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## π Example Input Format
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```csv
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query,impressions,position
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b2b saas seo strategy,1234,11.4
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keyword intent model,845,8.9
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title: SEO ROI Forecasting Tool
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emoji: π
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colorFrom: blue
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colorTo: green
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sdk: streamlit
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sdk_version: "1.35.0"
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app_file: app.py
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pinned: true
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# π SEO ROI Forecasting Tool for B2B SaaS
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This tool helps B2B SaaS growth teams translate SEO opportunities into revenue projections. Upload your Google Search Console export and simulate how better rankings translate to:
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- π More clicks
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- π§² More leads
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- π° Higher MRR
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- π Return on SEO investment
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Try it now on the [π€ Hugging Face Space](https://huggingface.co/spaces/Em4e/seo-b2b-saas-forecasting-tool)!
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> If you donβt upload a CSV, the app uses a sample file automatically.
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