Mobile Analytics Data Retention: How Long Should Product Events Live?
Choose mobile analytics data retention windows for onboarding, retention, revenue, privacy reviews, exports, and product debugging.
Summary
A retention planning guide for teams that want enough history for product decisions without keeping event data forever.
Retention should match the business question.
Raw event retention and aggregate retention can differ.
Shorter retention reduces privacy and breach risk.
Match retention to decisions
A team debugging onboarding may need only weeks of raw events. A subscription team analyzing annual renewals may need longer aggregate history. The right retention window depends on what decisions the data supports.
Raw event data should usually expire sooner than aggregate metrics. Daily rollups and cohorts can remain useful after raw payloads have been deleted.
Common retention windows
Seven days is useful for free plans and setup validation. Ninety days is enough for many early product iterations. Thirteen months helps subscription teams compare seasonal patterns and annual plan behavior.
Enterprise customers may need custom retention for compliance, audits, or warehouse export workflows. That should be a controlled setting, not a hidden database default.
Retention is part of the privacy story
Even pseudonymous analytics data has risk. Shorter retention limits exposure and makes privacy claims more defensible.
Make retention visible inside the product and include it in privacy audit exports. Teams should not need to ask engineering how long analytics data lives.
FAQ
Common questions
Should raw analytics events be kept forever?
No. Keep raw events only as long as they are useful for debugging and analysis, then rely on safer aggregate metrics.
Is 90-day retention enough for subscription apps?
It can be enough for early iteration, but subscription teams often need longer aggregate retention for renewal and seasonal analysis.