CohortsRetention by signup cohort, week over week
Group people by when they arrived and watch how many come back. A trend shows up in the cohort long before it shows up in the average.
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This runs on your own data in under a minute.
What it is good for
Averages hide retention. A blended number can hold steady while every new cohort gets worse, because the old cohorts are still propping it up. A cohort grid separates them, so you see the change in the weeks it happens rather than the quarter after.
- Telling a real retention change apart from a mix shift
- Proving an onboarding change worked, on the cohort that got it
- Comparing retention by acquisition channel on the same grid
- Choosing which cohort is worth spending to acquire more of
How different businesses use cohorts
The report is the same. What changes is the question you point it at.
SaaS
Watch each signup week and whether it still logs in, so onboarding work is measurable.
Cohort on Signed up, return on Used a core feature, weekly for 12 weeks.
You can say which release moved retention, and by how much, on the cohort that received it.
Give it your URL. It does the rest.
Free to start, no card. Tracking, attribution and your first dashboard in under a minute.
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