Adopture Docs
Privacy & Security

Data Retention

Configure how long Adopture keeps your analytics data.

You control how long your analytics data is stored. Adopture lets you configure data retention on a per-app basis, giving you flexibility to balance data availability with privacy and storage concerns.

Default Retention

The default data retention period is 730 days (2 years). This gives you a full two years of historical data for trend analysis and year-over-year comparisons.

Configurable Range

You can set retention anywhere from 1 to 730 days. Choose a duration that fits your needs:

  • Short retention (1-30 days) — Maximum privacy, minimal storage. Suitable if you only need recent data.
  • Medium retention (30-180 days) — Good balance for most apps. Enough history for retention analysis and seasonal trends.
  • Long retention (180-730 days) — Full historical context for year-over-year analysis and long-term trends.

How to Change

Go to your app's Settings page, find the Data Retention option, and select your preferred duration. The change takes effect immediately for new data expiration calculations.

What Happens When Data Expires

Expired events are permanently deleted from the analytics database. This process runs automatically and cannot be reversed. Once data is deleted, it is gone.

Pre-aggregated data — daily statistics and session aggregations — follows the same retention policy and is deleted on the same schedule.

Per-App Setting

Each app can have a different retention period. For example, you might keep 730 days of data for your production app but only 30 days for a staging or test app.

Compliance Benefits

Shorter retention periods help with:

  • Data minimization — Compliance with GDPR Article 5, which requires that personal data is kept no longer than necessary
  • Storage efficiency — Reducing storage costs on higher-volume plans

Recommendation

We recommend keeping at least 90 days of data for meaningful retention analysis. The retention cohort analysis works best with several weeks of historical data to identify patterns and trends.

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