GA4 Data Retention Settings: What They Mean and How to Configure Them
Understand GA4 data retention. Learn what 2-month vs 14-month retention affects, which reports are impacted, and how to change your settings.
GA4 defaults to 2-month data retention. If you have not changed this, you are losing historical data in your Explorations every day.
What Data Retention Actually Controls
Data retention in GA4 controls how long user-level and event-level data is stored. This affects:
- Explorations (custom reports) — Cannot access data older than your retention period
- Segments — Cannot create segments using data beyond retention
- Audience evaluation — Audience membership lookback is limited
It does NOT affect: - Standard reports — These use aggregated data that is retained indefinitely - BigQuery exports — Exported data lives in your BigQuery dataset permanently - Key event counts — Conversion totals in standard reports are retained
The Two Options
| Setting | 2 Months | 14 Months |
|---|---|---|
| Explorations lookback | 2 months | 14 months |
| Standard reports | Unaffected | Unaffected |
| Default | Yes | No |
| Privacy impact | Less data stored | More data stored |
How to Change It
- Go to GA4 Admin > Data Settings > Data Retention
- Change "Event data retention" from 2 months to 14 months
- Toggle "Reset user data on new activity" to ON (this extends retention for active users)
- Click Save
Important: This change is not retroactive. Data that was already expired under the 2-month window is gone. The 14-month window only applies to data collected after you change the setting.
When to Keep 2 Months
Some organizations keep 2-month retention for privacy reasons: - GDPR requires minimizing data collection and storage - Your DPO may require the shorter retention period - You export everything to BigQuery anyway and do analysis there
Recommended Setup
For most businesses: set retention to 14 months and export to BigQuery for anything beyond that. This gives you the best of both worlds — full Explorations capability for the past year and permanent raw data in BigQuery.
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