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+ |