What is retention?
Retention is the share of users who keep using a product as time passes — measured by cohort: of the users who arrived in a given week, how many are still active one week, one month, three months later. It is the truest measure of product value, because returning is the one compliment users pay with behavior instead of words.
Reading a retention curve
Plot a cohort's activity over time and every product shows the same opening: a steep early drop as tire-kickers and mismatches fall away. The question is what happens next. A curve that flattens means a core of users found durable value — the product has fit for them. A curve that decays to zero means nobody stays indefinitely, and growth is a treadmill refilling a leaking bucket. The flattening height is the number to fight for.
Where onboarding meets retention
The early cliff is not fate — its steepness is largely an activation story. Users who reached real value in week one populate the flat part of the curve; users who never activated are the cliff. This is why first-session and first-week work (tours, checklists, recovery nudges) shows up in retention curves two cohorts later, and why it beats win-back economics permanently.
Practical notes
- Define "active" honestly — the same caution as MAU: presence isn't value. Retention on the core action beats retention on logins.
- Compare cohorts, not eras — the curve for March signups vs. May signups is the honest before/after for any onboarding change.
- Watch the complement — retention's inverse is churn; the two must reconcile or a definition is lying somewhere.
See the concepts running live.
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