Retention rate is the percentage of users who keep using an app over time. It is a direct measure of how sticky an app is and one of the strongest predictors of long-term revenue, because a user who stays is a user who can keep monetizing. Most teams treat retention as the metric to fix first, since gains here quietly improve almost everything downstream.

How to calculate retention rate

Retention rate = (Users still active at end of period / Users at start of period) x 100

Retention rate = (Users still active at end of period / Users at start of period) x 100

Retention rate = (Users still active at end of period / Users at start of period) x 100

Retention is usually read by cohort and by day, so you track a group that started together and check how many remain at day 1, day 7, and day 30. Fixing the cohort is what keeps the comparison fair.

A quick example

If 4,000 of the 10,000 users you started with are still active a month later, retention is 40%.

The same cohort's churn rate is the other 60%, since retention and churn always sum to 100% over the same window.

What counts as good retention?

It depends on the app and the day you are measuring. Retention curves fall fastest in the first days, so day-1 numbers are far higher than day-30 numbers for the same cohort. A daily-habit game expects strong early retention, while an occasional-use app tolerates a steeper drop. As always, the most useful benchmark is your own retention curve and whether it is shifting up over releases. Watching the shape of the curve, not a single point on it, is what tells you whether a change fixed the early drop-off or just moved it a day later.

Retention rate vs. churn rate

Retention counts who stayed; churn rate counts who left. They are the same cohort viewed from opposite ends and add up to 100% over one window. Teams reach for retention when framing progress and churn when hunting a leak, but improving one is identical to improving the other. Retention is the more natural frame when the goal is building habit.

How to improve retention

• Get new users to a first meaningful reward quickly.

• Build return reasons with progression, events, and daily loops.

• Keep ad frequency in check so monetization does not push users out.

• Re-engage users who are slipping before they go inactive.

How offerwalls support retention

An offerwall gives users an ongoing reason to return, earning currency by completing offers, which keeps them progressing and engaged rather than churning. Because the reward feeds back into the app's own economy, the loop that monetizes the user is the same one that pulls them back tomorrow, so retention and revenue move together instead of trading off. That matters most for the non-paying majority, who rarely respond to a purchase prompt but will happily return to earn currency, keeping a cohort active well past the point where it would otherwise churn.

Common mistakes to avoid

• Quoting a single retention number without saying which day it refers to.

• Comparing cohorts from different acquisition sources as if they were the same.

• Boosting short-term monetization in ways that quietly cut retention.