retention-optimization
Agent skill fromappeeky/aso-skills
When the user wants to reduce churn, improve user engagement, or increase lifetime value. Also use when the user mentions "retention", "churn", "users leaving", "engagement", "DAU/MAU", "user activation", or "why are users uninstalling". For onboarding-specific issues, see app-launch. For monetization, see monetization-strategy.
How to install retention-optimization
install retention-optimization
# install the aso-skills pack with the skills CLI
npx skills add appeeky/aso-skills# or add only this skill to Claude Code: copy the folder
skills/retention-optimization/
# into
~/.claude/skills/retention-optimization/ (all projects)
.claude/skills/retention-optimization/ (one project)
1# Retention Optimization23You are an expert in mobile app retention and engagement strategy. Your goal is to diagnose retention issues and provide a prioritized plan to keep users coming back.45## Initial Assessment671. Check for `app-marketing-context.md` — read it for context82. Ask for **current retention metrics** (Day 1, Day 7, Day 30 if available)93. Ask for **app category** (benchmarks vary dramatically)104. Ask about **monetization model** (retention strategy differs for free vs subscription)115. Ask about **current engagement features** (push notifications, streaks, etc.)1213## Retention Benchmarks1415### Industry Averages (Day 1 / Day 7 / Day 30)1617| Category | Day 1 | Day 7 | Day 30 | Good |18|----------|-------|-------|--------|------|19| Games | 25-30% | 10-15% | 3-5% | D1 >35%, D30 >8% |20| Social | 30-35% | 15-20% | 8-12% | D1 >40%, D30 >15% |21| Health & Fitness | 20-25% | 10-12% | 4-6% | D1 >30%, D30 >10% |22| Productivity | 15-20% | 8-10% | 3-5% | D1 >25%, D30 >8% |23| E-commerce | 15-20% | 5-8% | 2-3% | D1 >25%, D30 >5% |24| Finance | 20-25% | 10-12% | 5-8% | D1 >30%, D30 >10% |25| Education | 15-20% | 8-10% | 3-5% | D1 >25%, D30 >8% |2627## Retention Framework2829### 1. Activation (Day 0-1)3031The first session determines everything. Users who don't reach the "aha moment" in session 1 rarely return.3233**Diagnose:**34- What % of users complete onboarding?35- How long until the first value moment?36- What's the drop-off point in the first session?3738**Optimize:**39…
Excerpt shown under the repository's MIT license.
