Retention Curve
A graph showing the percentage of users who remain active over time after their first use.
Definition
A retention curve plots the percentage of users still active at day 1, day 7, day 30, day 90, and beyond. The shape of the curve reveals product health: a curve that flattens (stabilizes at a non-zero percentage) indicates product-market fit. A curve that approaches zero means the product has a retention problem. Different product categories have different benchmark retention curves.
The most important retention curve characteristics are: initial drop-off (day 1 to day 7), the flattening point (where the curve stabilizes), and the long-term retention rate (the asymptotic value).
Why it matters for founders
Retention curves reveal the truth that vanity metrics hide. A product can look like it's growing (new signups) while its retention curve shows everyone eventually leaves. A flattening retention curve is one of the strongest signals of product-market fit.
Example
Facebook's famous "7 friends in 10 days" insight came from retention curve analysis. Users who added at least 7 friends in their first 10 days had dramatically different retention curves (high long-term retention) compared to those who didn't (curve approached zero). This insight drove their entire growth strategy.
How Foundra helps
Foundra's Proof Signals card helps you identify the leading indicators that predict strong retention curves for your specific product.
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Related terms
Cohort Analysis
Tracking groups of users who share a common characteristic over time to understand behavior trends.
Churn Rate
The percentage of customers who stop using your product in a given period.
Activation Rate
The percentage of new users who complete a key action that predicts long-term retention.
User Onboarding
The process of guiding new users to their first meaningful experience of value in your product.