Retention curve is the visual pattern of how many users or customers from a starting cohort stay active over successive time periods.

How it works

Pick a cohort — everyone who signed up in January — and measure what percentage is still active on day 7, day 30, day 90. Plot those points and you get a curve.

Healthy consumer or prosumer products often show a steep early drop (people try and leave) then flatten at a stable percentage. Enterprise SaaS may track logo retention or net revenue retention by month instead of daily actives.

Example: 1,000 signups; 400 active at week 4; 280 at week 12; 250 at week 24. The curve flattened around 25%, suggesting a durable core audience. If week-12 retention were 5%, paid acquisition would mostly refill a leaky bucket.

Compare curves across cohorts to see if product changes improved stickiness. Separate organic vs paid cohorts — paid users sometimes retain worse.

Why it matters

• Founders: Prioritize fixes that lift the curve’s plateau, not just top-of-funnel volume.
• Investors: Retention shape predicts LTV and whether CAC payback math holds at scale.

Common mistake

Showing only cumulative registered users instead of cohort retention. Total user count can grow while every monthly cohort churns out — a curve exposes that; a vanity chart hides it.

Related ideas

See also logo retention, revenue churn, SaaS metrics, and CAC.