Most product teams track the wrong metrics. DAU, MAU, and total signups are lagging indicators — by the time they drop, the retention problem is months old. Here are the five leading indicators we have found most predictive.
1. Time to First Value
The time between signup and the moment a user gets meaningful value from the product. For every product we have analysed, users who hit their first meaningful value moment within 24 hours have 3× higher 90-day retention than those who take a week. Define your value moment precisely and instrument it obsessively.
2. Feature Adoption Breadth
Users who adopt 3+ core features in their first 30 days retain at dramatically higher rates than single-feature users. This predicts churn better than login frequency alone. Build onboarding flows that surface features progressively — do not overwhelm on day one, but do not let users stay in a narrow lane forever.
3. Frequency of Core Action
Every product has a core action that defines value — for Slack it is sending a message, for Figma it is making an edit. Users who complete this action at least 3× in their first week have retention rates 4× higher than those who do it once.
4. Notification Opt-In Rate
Counterintuitively, users who opt into notifications (email, push, or in-app) retain better — not because notifications drive retention, but because opting in signals intent. It is a leading indicator of engagement, not a driver of it.
5. Support Contact in First 14 Days
Users who contact support in their first two weeks, if that contact is resolved successfully, retain at higher rates than users who never contact support. Struggling users who get help become your most loyal cohort. Struggling users who do not get help churn silently.
