How churn rate works
Churn rate is the percentage of users who stop using your app during a given period. It is the mirror image of retention: if Day 30 retention is 8%, then Day 30 churn is 92%. You calculate it by dividing the users who did not return during the period by the cohort size, then multiplying by 100. For subscription apps, churn often refers specifically to cancelled subscriptions rather than lapsed activity, so it is worth stating which definition you mean.
Because churn and retention are two sides of the same coin, teams tend to lead with whichever framing is more motivating. Early-stage apps often track retention to celebrate the users they keep, while subscription businesses track churn because every cancelled plan is lost recurring revenue.
Why churn rate matters
Churn is the leak in the bucket. You can pour installs in through acquisition, but if they drain out through churn, growth stalls and every acquired user costs more than they return. A small reduction in churn compounds: keeping even a few extra percentage points of each cohort raises your active user base, lifetime value, and revenue month after month, without spending an extra dollar on ads.
Churn is also an early quality signal for acquisition. When you connect churn to attribution data, you can see which channels bring users who stick and which bring users who leave within days. Incentivized and broadly targeted traffic usually churns fastest, while organic and high-intent search traffic churns slowest. That visibility turns churn from a product metric into a lever growth teams can pull through smarter budget allocation.
How to reduce churn
The highest-leverage moment is the first session, where users decide within the first minute whether the app is worth returning to. Fast onboarding that delivers core value quickly is the single biggest defence against early churn. Beyond that, behaviour-triggered push notifications, personalization, and re-engagement campaigns all bring lapsing users back, while blunt batch-and-blast messaging tends to accelerate churn by driving opt-outs and uninstalls.