Cohort Analytics Features
- Retention curve analysis
- LTV cohort tracking
- Revenue per cohort
- Custom cohort definitions
- Comparative cohort views
Retention Analysis
Track how users engage over time with detailed retention curves:
| Install Date | D1 | D7 | D14 | D30 | D60 |
|---|---|---|---|---|---|
| Nov Week 1 | 42% | 22% | 15% | 10% | 7% |
| Nov Week 2 | 45% | 24% | 17% | 12% | 8% |
| Nov Week 3 | 40% | 20% | 14% | 9% | - |
LTV Cohort Tracking
Understand lifetime value development across cohorts:
- Cumulative LTV: Track revenue accumulation over time
- LTV projections: Predict long-term value from early signals
- LTV by source: Compare value across acquisition channels
- Payback tracking: Monitor time to recover CAC
Cohort Dimensions
Slice cohorts by any dimension:
- Time-based: Install date, week, month
- Source-based: Channel, campaign, creative
- Geo-based: Country, region
- Device-based: Platform, OS version
- Behavior-based: First action, onboarding completion
Comparative Analysis
Compare cohorts to identify trends and improvements:
- Week-over-week retention comparison
- A/B test cohort performance
- Channel quality comparison
- Product change impact analysis
Monetization Cohorts
Track revenue and engagement metrics:
- ARPU: Average revenue per user by cohort
- ARPPU: Revenue from paying users only
- Conversion rate: Free to paying conversion
- Purchase frequency: Transaction patterns
Custom Cohort Builder
Create cohorts based on your specific needs:
- Define custom cohort criteria
- Combine multiple attributes
- Save and reuse cohort definitions
- Share cohorts across team
Understand Your Users Better
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