App User Retention Calculator
Turn your Day 1, 7 and 30 retention into a projected curve out to a year - and see if your own numbers even add up.
Everyone tracks Day 1, Day 7 and Day 30 retention. Almost nobody uses those three numbers to answer the question that actually matters: how many of today's users will still be around in 90 days, or a year from now?
This calculator fits a decay curve through your Day 1 and Day 30 numbers and projects it forward - and checks the fit against the Day 7 you actually measured, so you can see whether your retention is decaying smoothly or something happened mid-month.
Everything runs in your browser. Nothing is uploaded, nothing is stored.
What this deliberately does not model
- A permanent floor above zero - most real apps flatten out once the casual users who were never going to stay are gone. Treat Day 90 and beyond as a lower bound, not a prediction.
- Anything that changes retention mid-flight: a product update, a marketing push, seasonal swings, or a shift in the kind of user you are acquiring.
- Reactivation - users who come back after lapsing are not in this model at all.
- Category norms - retention that is weak for a game can be strong for a utility app, and this tool has no idea which one you are building.
Watch: how to use this tool
How to use it
- Enter the size of the cohort you're measuring - how many users started on Day 0.
- Enter your Day 1 retention percentage - the share still active a day later.
- Enter your Day 7 and Day 30 retention percentages.
- Read the projected curve out to Day 90, 180 and 365, and the fit check against your real Day 7 number.
Questions
How does this project retention past Day 30?
What is the 'fit check' number?
Why does the model use Day 1 and Day 30, not Day 7 too?
Will my retention really keep decaying forever?
What counts as good Day 1, Day 7 and Day 30 retention?
Is anything sent to a server?
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