Cohort analysis tool
for weekly retention.
Enter each weekly cohort's size and the users still active in weeks 1 to 4 to see retention as a heatmap.
Retention by cohort
- Average week 1 retention
- 42%
- Average week 4 retention
- 22.8%
| Cohort | Users | Week 1 | Week 2 | Week 3 | Week 4 |
|---|---|---|---|---|---|
| Week of Sep 1 | 1,240 | 41% | 30% | 25% | 22% |
| Week of Sep 8 | 1,385 | 43% | 32% | 26% | 23% |
| Week of Sep 15 | 1,150 | 38% | 28% | 23% | 20% |
| Week of Sep 22 | 1,420 | 46% | 35% | 29% | 26% |
Cohort analysis FAQ
What is cohort analysis?
Cohort analysis groups users by when they started, then compares the same outcome for every group over the same time since that start. A change in the product shows up as a change between cohorts instead of being hidden by a change in traffic.
How do you calculate cohort retention?
Divide the users still active in a week by the cohort's starting size. A cohort of 1,240 users with 508 active in week 1 has 41% week 1 retention. Each average is the mean of that week's percentages across cohorts, leaving out cohorts with no number for the week.
How do you read a cohort retention table?
Each row is one cohort and each column is a week since the cohort started. Read down a column to see whether newer cohorts retain better than older ones, and across a row to see when users leave. For the steps a user takes before they leave, use the funnel calculator, or see onboarding funnel analytics for live app data.
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