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feat: Add automated campaign metrics tracking system
Created a complete metrics tracking solution with real data from Empathy Framework: **1. Metrics Tracking Script (scripts/track_campaign_metrics.py)** - Fetches GitHub stats (stars, watchers, forks, issues) - Fetches PyPI downloads (last day, week, month) - Fetches recent releases with download counts - Outputs as markdown or JSON - No authentication required for basic stats - Handles errors gracefully - Easily adaptable for any project **2. Live Metrics Report (docs/marketing/CAMPAIGN_METRICS_LIVE.md)** - Real-time data from Empathy Framework - Generated: Jan 8, 2026 - Current: 9 stars, 1,321 weekly downloads, 4,970 monthly downloads - Auto-updates via script - Can be automated with GitHub Actions **3. Comprehensive Tutorial (docs/tutorials/campaign-metrics-tracking.md)** - Step-by-step guide (30 minutes, intermediate level) - API documentation (GitHub, PyPI) - Code examples for adaptation - Automation with GitHub Actions - Data visualization with matplotlib - ROI calculation formulas - Real example: v3.9.1 campaign - Troubleshooting section **4. FAQ System (docs/reference/FAQ.md + FAQ_DISTRIBUTION_STRATEGY.md)** - Comprehensive FAQ (10,000+ words) - Covers: Getting Started, Teaching AI Standards, Tool Compatibility - Single source of truth strategy - Distribution plan (website, MkDocs, README, marketing) **Usage Examples:** Basic: python scripts/track_campaign_metrics.py Save to file: python scripts/track_campaign_metrics.py --output metrics.md Your project: python scripts/track_campaign_metrics.py --repo owner/repo --package name JSON output: python scripts/track_campaign_metrics.py --format json **Tutorial demonstrates:** - API integration (GitHub, PyPI) - Data visualization - Automated tracking - ROI calculation - Real campaign example This creates a complete, working prototype that can be: 1. Used immediately for Empathy Framework campaigns 2. Adapted for any open-source project 3. Automated with GitHub Actions 4. Used as a teaching example in tutorials 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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# Campaign Metrics - Live Data
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**Generated:** 2026-01-08 17:02:35
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**Repository:** Smart-AI-Memory/empathy-framework
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**Package:** empathy-framework
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---
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## Current Stats
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### GitHub Repository
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| Metric | Count |
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|--------|-------|
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| ⭐ Stars | 9 |
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| 👀 Watchers | 2 |
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| 🔱 Forks | 5 |
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| 🐛 Open Issues | 9 |
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**Updated:** 2026-01-08T17:02:35.174927
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---
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### PyPI Downloads
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| Period | Downloads |
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|--------|-----------|
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| Last 24 hours | 677 |
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| Last 7 days | 1,321 |
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| Last 30 days | 4,970 |
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**Updated:** 2026-01-08T17:02:35.383595
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---
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### Recent Releases
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#### v3.9.1 - v3.9.1 - Security Hardening & README Fix
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- **Released:** 2026-01-07 (1 days ago)
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- **Downloads:** 2
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#### v3.8.3 - v3.8.3
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- **Released:** 2026-01-07 (1 days ago)
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- **Downloads:** 0
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#### v3.8.2 - v3.8.2
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- **Released:** 2026-01-07 (1 days ago)
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- **Downloads:** 2
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#### v3.8.1 - v3.8.1
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- **Released:** 2026-01-07 (1 days ago)
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- **Downloads:** 2
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#### v3.8.0 - v3.8.0
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- **Released:** 2026-01-07 (1 days ago)
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- **Downloads:** 2
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---
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## How to Track Your Own Metrics
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This report was generated using the `track_campaign_metrics.py` script.
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**Setup for your project:**
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```python
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from scripts.track_campaign_metrics import CampaignMetricsTracker
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# Initialize with your repo/package info
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tracker = CampaignMetricsTracker(
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repo_owner="your-username",
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repo_name="your-repo",
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package_name="your-package"
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)
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# Fetch all metrics
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metrics = tracker.get_all_metrics()
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# Output as markdown
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report = tracker.format_as_markdown(metrics)
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print(report)
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```
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**Automate with GitHub Actions:**
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See `docs/tutorials/automating-metrics-tracking.md` for a complete guide
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on setting up automated daily metric tracking.
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---
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## API Sources
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- **GitHub Stats:** `GET https://api.github.com/repos/{owner}/{repo}`
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- **PyPI Stats:** `GET https://pypistats.org/api/packages/{package}/recent`
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- **No authentication required** for basic stats (stars, downloads)
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- **Authentication required** for traffic stats (views, visitors)
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---
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**Next Steps:**
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1. Track these metrics daily for your campaign
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2. Compare week-over-week growth
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3. Correlate with marketing activities (posts, launches)
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4. Calculate ROI based on time invested vs growth
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**Tutorial:** [Campaign Metrics Tracking Guide](../tutorials/campaign-metrics-tracking.md)

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