Data Retention
The duration that analytics platforms store historical event data before automatic deletion, varying by pricing tier and compliance requirements.
Definition
Data retention refers to how long analytics and SaaS tools store your data before automatic deletion. Retention policies vary by tool and pricing tier, affecting your ability to analyze historical trends and comply with data regulations.
Why Data Retention Matters
Historical Analysis
Longer retention enables year-over-year comparisons, trend analysis, and long-term cohort studies.
Compliance
Some regulations require minimum retention periods; others require maximum limits. GDPR emphasizes data minimization.
Cost
Storing more data costs more. Tools often limit retention on lower tiers.
Common Retention Periods
| Tool Type | Typical Retention |
|---|---|
| Product analytics | 12-24 months (varies by tier) |
| Session recordings | 30-90 days |
| Web analytics | 14-26 months |
| Error tracking | 7-90 days |
Retention by Tool Examples
| Tool | Free Tier | Paid Tier |
|---|---|---|
| Mixpanel | 90 days | Varies by plan |
| Amplitude | Limited | 12+ months |
| PostHog | Based on usage | Self-hosted: unlimited |
| Hotjar | 365 days | 365 days |
Data Export Strategies
If retention limits are a concern:
- Regular exports - Schedule automated data exports
- Data warehouse - Pipe data to BigQuery, Snowflake, etc.
- Self-hosting - Some tools offer self-hosted options with unlimited retention
- Upgrade - Higher tiers often include longer retention
Frequently Asked Questions
What happens when data exceeds retention period?
Data is automatically deleted and cannot be recovered. Plan exports before data ages out if you need long-term access.
Can I extend retention on lower tiers?
Usually no - retention is often a tier differentiator. You’d need to upgrade or export data to external storage.
How does GDPR affect data retention?
GDPR requires data minimization - don’t keep data longer than necessary. But it doesn’t specify maximum periods. Balance compliance needs with analytical needs.