attribution-modellisted

# Attribution Model Which free content is actually making you money? Connect the dots across your funnel. ## When to Activate - User says `/attribution` or `/attribution analyze` - User asks "which content drives the most revenue?" - User asks "what's my best converting content?" - User wants to understand content → revenue pathways ## Prerequisites - `~/.content-autopilot/content-history.json` with performance data - `~/.content-autopilot/monetize-data.json` with revenue data ## Commands ### `/attribution` — Full attribution analysis ### `/attribution {content_id}` — Attribution for specific content ### `/attribution paths` — Show most common conversion paths ### `/attribution roi-rank` — Rank all content by attributed revenue ## Attribution Models | Model | Logic | Best For | |-------|-------|----------| | Last-touch | Credit to the last content before purchase | Simple, conservative | | First-touch | Credit to the content that brought them in | Understanding acquisition | | Linear | Equal credit across all touchpoints | Fair distribution | | Time-decay | More credit to recent touchpoints | Recency-aware | | Position-based | 40% first, 20% middle, 40% last | Balanced understanding | ## Workflow ### Step 1: Build Conversion Paths From performance-log and monetize-data, reconstruct likely paths: ``` Conversion path analysis: Purchase: "{paid_article}" on {date} (¥{amount}) Likely path (reconstructed from timing + topics): Day 1: X thread "{title}" → {N} li