Portfolio Project

Product Retention & Cohort Analysis

End-to-end cohort retention analysis on 3,000+ user events across 18 months. Identifying the strongest predictors of user retention and LTV.

Total Users
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Across 21 months
Total Events
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Tracked interactions
Total Revenue
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From conversions
Avg LTV
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Per user
Onboarding Completion
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Key metric

📊 Cohort Retention Heatmap

📈 Retention Curves by Cohort

🎯 Channel Performance

âš¡ Onboarding Impact

💰 Lifetime Value by Cohort

💡 Key Insights & Recommendations

1
Onboarding is the Strongest Predictor
Users who complete onboarding show dramatically higher retention rates compared to those who skip it.
+81% retention lift
2
Channel Quality Varies Significantly
Referral users have 2.1x higher LTV than paid social users, indicating acquisition mix optimization opportunity.
2.1x LTV difference
3
Retention is Improving Over Time
Later cohorts (Jan 2024+) show 8-12% better Month-1 retention, suggesting product improvements are working.
+8-12% M1 retention