Cohort Analysis
Cohort Analysis tracks how a model's income evolves over time, helping identify retention patterns in their tipper base.
What It Shows
The analysis groups tippers into cohorts based on when they first tipped a model, then tracks how much each cohort continues to spend in subsequent periods. This reveals:
- Tipper retention — What percentage of tippers return to tip again
- Revenue trends — Whether a model's income is growing from new tippers or sustained by loyal regulars
- Cohort behavior — How spending patterns change over a tipper's lifetime
How to Use
- Select a platform and model
- Choose the time granularity (daily, weekly, monthly)
- The chart displays cohorts as rows and time periods as columns
- Cell values show the total tokens/credits from that cohort in that period
Interpretation
- Strong diagonal retention (tippers keep returning) indicates a loyal fanbase
- Top-heavy cohorts (high first period, rapid drop-off) suggest one-time visitors
- Growing new cohort sizes indicate rising popularity