← Back to Playbook
Part 3

3.8 Cohort Analysis & Retention Model

USER ACQUISITION ENGINE

Retention is the single most important metric for a dating app. High churn is expected — users who find a match leave (success churn). The goal is to maximise D30 retention for users who have not yet found a match, and to convert successful matches into referrals before they churn.

Retention Benchmarks

Metric Target Benchmark PMF Gate
D7 Retention 45–55% Hinge: ~50%
D14 Retention 30–40% Industry: ~35%
D30 Retention 20–28% Industry: ~20% ≥20%
D60 Retention 12–18% Strong: 15%+
D90 Retention 8–14% Strong: 10%+ ≥10% (scale gate)
Success Churn 15–25% Users who matched

SUCCESS CHURN: Users who find a match and leave are a success signal, not a failure. The goal is to convert them to referrals before they churn. Post-match NPS survey + referral prompt is the primary mechanism.

Cohort Health Indicators

Cohort Signal Healthy Warning Action
D1 retention >60% 40–60% Review onboarding flow
D7 retention >45% 30–45% Improve match quality
D30 retention >20% 15–20% Product emergency — review core loop
Female D7 retention >35% 25–35% Safety or match quality issue
Referral before churn >25% 10–25% Activate NPS loop earlier

Phase Targets Summary

Metric Phase 1 (Apr) Phase 2 (Jun) Phase 3 (Aug) Phase 4 (Nov+)
Total active users 500–1,000 2,000–5,000 8,000–10,000 20,000+
Female ratio ≥55% ≥52% ≥50% ≥50%
Daily installs 30+ 100+ 200+ 500+
D7 retention ≥40% ≥40% ≥40% ≥40%
D30 retention ≥20% ≥20% ≥20% ≥25%
Match → meeting rate ≥10% ≥12% ≥15% ≥20%
NPS ≥30 ≥35 ≥40 ≥50
Referral rate ≥15% ≥20% ≥25% ≥35%
Weekly meetings 10+ 50+ 200+ 1,000+