Retention
Measure how many users come back over time with cohort-based retention charts.
Retention shows how many users return after their first seen period. FastStats groups users into cohorts and then tracks what percentage of each cohort is still active in later days or weeks.
Main Visualization (Cohort Table)
Static preview from the retention page. This example is not interactive.
| Cohort | Users | Week 0 | Week 1 | Week 2 | Week 3 | Week 4 |
|---|---|---|---|---|---|---|
| 2026-W01 | 1,240 | 100% | 51% | 38% | 31% | 27% |
| 2026-W02 | 1,178 | 100% | 49% | 35% | 29% | 24% |
| 2026-W03 | 1,321 | 100% | 46% | 33% | 26% | 22% |
| 2026-W04 | 1,215 | 100% | 44% | 30% | 24% | 19% |
Retention Curve (Secondary)
Static preview with mock data for cohort trend comparison.
How to Read the Chart
- Cohort table rows are groups of users by first-visit period (for example,
2026-W01) - Week columns (
Week 0,Week 1, ...) show the share of that cohort active in each later week - Faster color fading across columns usually means users drop off earlier
- X-axis (
Week 0,Week 1, ...) on the curve is time since cohort start - Y-axis (
%) on the curve is the return rate for that period - Latest Cohort is your newest cohort trend
- Previous Cohort lets you compare if retention is improving or declining
- Average is a smoothed baseline across cohorts
Use it to answer:
- Are new users sticking longer than older cohorts?
- At what week does retention drop the fastest?
- Are changes in onboarding/product quality improving Week 1 and Week 2 retention?