Revenue Attribution

Know which content earns, not just performs.

A video with 200K views that drives zero Patreon upgrades is not your best content — it's your most watched content. Fanlytiq maps every dollar of revenue back to the piece that triggered it, using a 30-day multi-touch attribution window across your full catalog and all connected platforms.

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How It Works

Content-to-revenue tracing: every channel, every format

Attribution logic built for creator economics — not ad-click measurement. Tracks platform-to-platform conversion (YouTube video → Patreon upgrade, newsletter → Gumroad sale) across a 30-day attribution window.

How it works
Maps each piece of content to downstream revenue events
Tracks platform-to-platform conversion (YouTube → Patreon)
Applies multi-touch attribution across 30-day windows
Calculates blended revenue per hour of content produced
What you see
Revenue ranked by content piece, format, and topic cluster
Best and worst performing content in the last 90 days
Platform conversion funnel from awareness to paid
Revenue per subscriber by content type
What you do
Double down on the format and topics that generate most revenue
Drop content types with negative ROI on your time
Present revenue data to sponsors for premium rate justification
Optimize cross-platform content sequencing for conversion

Attribution Model

How content events connect to revenue

A look at the attribution chain from a single YouTube video to its total revenue impact.

Content Event YT video published 94,000 views 2.3% click-to-Patreon Direct: $1,420 163 Patreon upgrades × $8.70 avg Indirect: $420 48 newsletter signups → 9 paid Total: $1,840 Attributed to this video $19.57 / 1,000 views (RPM) Content ranking #1 of 47 pieces in last 90 days Format: Long-form video 1. Content 2. Attribution 3. Total value 4. Ranking YouTube video 30-day window Direct + indirect vs catalog

Use Cases

How creators use revenue attribution

Long-Form Creator

Jordan found his deep-dive videos earned 4x more per view than his trending content

Trending topics got higher view counts but his audience was largely non-converting passers-by. Deep-dive niche content converted 6.8% of viewers to paid subscribers. He restructured his publishing calendar from 2 trending videos + 1 deep dive to 4 deep dives per month.

Podcast Creator

Priya stopped recording 4 episodes a week after attribution showed 2 drove 90% of revenue

Her interview episodes drove almost no Substack upgrades or Patreon conversions. Solo commentary episodes drove nearly everything. She cut interview frequency in half, freed 8 hours per week, and her monthly revenue went up by 22% in the following quarter.

Newsletter Creator

Sam discovered his free email series was responsible for 47% of all paid conversions

A free 5-email course on his list was driving nearly half his paid membership conversions. He'd almost cut it due to workload. Instead, he updated it, extended it to 8 emails, and set it as the default welcome sequence for all new subscribers.

Know which content earns its keep.

14-day free trial. No credit card. Start attributing revenue to content today.

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