COHORT / BRASSLINE
Cohort analysis
Understand how each customer generation grows over time.
Month 1 retention96.8%Customer count basis
Month 6 retention82.0%May cohort
Strongest cohortSeptember98% at month 1
Customer retention by cohort
| Cohort | Month 0 | Month 1 | Month 2 | Month 3 | Month 4 | Month 5 | Month 6 |
|---|---|---|---|---|---|---|---|
| May 202642 accounts | 100% | 96% | 93% | 90% | 87% | 84% | 81% |
| Jun 202648 accounts | 100% | 98% | 95% | 92% | 89% | 86% | — |
| Jul 202654 accounts | 100% | 100% | 97% | 94% | 91% | — | — |
| Aug 202660 accounts | 100% | 96% | 93% | 90% | — | — | — |
| Sep 202666 accounts | 100% | 98% | 95% | — | — | — | — |
| Oct 202672 accounts | 100% | 100% | — | — | — | — | — |
Each cell shows the percentage of the starting cohort still active. A dash indicates a month that
has not elapsed.
Reading the pattern
Better onboarding, stronger early retention.
The September cohort retained 98% of accounts through the first month. Compare this with May’s 96% before deciding whether the onboarding changes are working. Cohort sizes are small, so treat this sample as a conversation starter.
Explore customer health