Cohort analysis tables
Color-coded retention tables show you exactly what percentage of each cohort returns on day 1, day 7, day 30, and beyond.
Retention
Cohort retention analysis that shows you exactly when users return, and when they stop. The clearest signal of product-market fit.
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Retention
Capabilities
Color-coded retention tables show you exactly what percentage of each cohort returns on day 1, day 7, day 30, and beyond.
Choose between daily and weekly cohort groupings depending on your product's engagement frequency.
Analyze retention over 7 days, 30 days, 90 days, or up to a full year. Match the window to your product's natural cycle.
See how many users are in each cohort alongside their retention percentages for proper context on small vs. large cohorts.
High retention periods are highlighted in green; low retention in lighter shades. Spot trends instantly without reading every number.
Compare retention rates across different time periods to measure whether product changes are improving user stickiness.
Getting Started
Rybbit automatically tracks visitor sessions. Each visitor is assigned to a cohort based on the date of their first visit.
When a visitor returns on subsequent days or weeks, Rybbit records the return visit and maps it to their original cohort.
Navigate to Retention in your dashboard. Select daily or weekly granularity and your desired time range.
Read the retention table to understand how each cohort retains over time. Identify if recent changes improved or hurt retention rates.
Use Cases
Measure whether product changes improve user stickiness. Track if new features bring users back more frequently.
Retention is the most important metric for product-market fit. See if your early users are coming back or churning.
Compare retention rates across acquisition channels. See which traffic sources bring users who actually stick around.
Identify retention plateaus and inflection points. Focus optimization efforts on the time period with the steepest drop-off.
Use retention data to justify roadmap decisions. Show stakeholders how specific features impact long-term engagement.
Combine retention data with event tracking and funnels to build a complete picture of user engagement over time.
FAQ
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Cohort retention analysis with no cookies and no setup.
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