R

What is Retention curve?

Definition, examples, and more

Definition

A visual graph that shows how many users (or subscribers) remain active or subscribed over time, typically shown by cohort. Retention curves help identify whether engagement or monetization is front-loaded or sustained and are essential for understanding long-term performance.

How to Calculate

Retention at Day N = Active Users on Day N / Total Users in Cohort x 100. Plot these points over time to create the curve.

Example

A habit app plots Day 1 (68%), Day 7 (38%), Day 14 (28%), Day 30 (22%), Day 60 (18%), Day 90 (15%). The steep early drop followed by a flattening curve suggests a loyal core user base exists after the initial filter. Comparing this curve before and after onboarding changes shows whether improvements are working.

Why Retention curve Matters

The shape of your retention curve tells you everything about your business sustainability. A meditation app compared two cohorts: pre-redesign (curve kept declining, never flattened) vs post-redesign (curve flattened at 20% by Day 30). The flattened curve meant they had found a core audience that sticks — the foundation for a sustainable subscription business.

Frequently Asked Questions

What does a healthy retention curve look like?

A steep initial drop (Day 1-7) that gradually flattens into a stable plateau. If the curve never flattens, you have a leaky bucket. The earlier and higher the plateau, the healthier the app. Compare your curve across cohorts to see if product changes are improving retention.

How do I improve my retention curve?

Focus on the steepest drops. If Day 1 is the biggest drop, improve onboarding. If Day 7-14 shows a cliff, users are not forming habits — add engagement loops. If the curve never flattens, you have a fundamental value problem. Each inflection point reveals a different optimization opportunity.

Should I track app retention or subscription retention?

Both. App retention (who keeps using the app) is a leading indicator. Subscription retention (who keeps paying) is the lagging outcome. Users who stop using the app will eventually stop paying. Improving app retention almost always improves subscription retention downstream.

Category
Subscription App Terminology
Related Area
Mobile App Growth & Monetization
Previous
Restore purchases
Next
Retention rate

More terms starting with “R”

Rate limiting

A backend mechanism that limits how often users can trigger certain subscription-related actions (e.g., restore, trial start, promo redemptions) within a set time frame. This helps prevent abuse, fraud, and system overload.

Reactivation

When a previously churned or lapsed subscriber returns and resumes their subscription. Reactivations are a part of lifecycle marketing and often driven by email/push campaigns, pricing incentives, or product improvements.

Recurring revenue

Revenue generated on a consistent, repeatable basis through subscription renewals. Recurring revenue is the foundation of subscription businesses and a key metric for forecasting, valuation, and capital efficiency.

Refund rate

The percentage of in-app purchases or subscriptions that are refunded due to user dissatisfaction or platform policy. High refund rates can signal poor value perception, billing issues, or onboarding problems and may impact platform standing or reported revenue.

Renewal

The continuation of a subscription after a billing period ends, either manually or through auto-renew. Renewals are a core component of recurring revenue and serve as key milestones in a user's lifecycle.

Back to full dictionary

Optimize your subscription pricing with AI

Botsi automatically shows the right price to every user. Stop guessing and start growing.