Claude Agent Skill · by Eronred

Retention Optimization

Install Retention Optimization skill for Claude Code from eronred/aso-skills.

Works with Paperclip

How Retention Optimization fits into a Paperclip company.

Retention Optimization drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

S
SaaS FactoryPaired

Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

$27$59
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Source file
SKILL.md165 lines
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---name: retention-optimizationdescription: 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.metadata:  version: 1.0.0--- # Retention Optimization You 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. ## Initial Assessment 1. Check for `app-marketing-context.md` — read it for context2. Ask for **current retention metrics** (Day 1, Day 7, Day 30 if available)3. Ask for **app category** (benchmarks vary dramatically)4. Ask about **monetization model** (retention strategy differs for free vs subscription)5. Ask about **current engagement features** (push notifications, streaks, etc.) ## Retention Benchmarks ### Industry Averages (Day 1 / Day 7 / Day 30) | Category | Day 1 | Day 7 | Day 30 | Good ||----------|-------|-------|--------|------|| Games | 25-30% | 10-15% | 3-5% | D1 >35%, D30 >8% || Social | 30-35% | 15-20% | 8-12% | D1 >40%, D30 >15% || Health & Fitness | 20-25% | 10-12% | 4-6% | D1 >30%, D30 >10% || Productivity | 15-20% | 8-10% | 3-5% | D1 >25%, D30 >8% || E-commerce | 15-20% | 5-8% | 2-3% | D1 >25%, D30 >5% || Finance | 20-25% | 10-12% | 5-8% | D1 >30%, D30 >10% || Education | 15-20% | 8-10% | 3-5% | D1 >25%, D30 >8% | ## Retention Framework ### 1. Activation (Day 0-1) The first session determines everything. Users who don't reach the "aha moment" in session 1 rarely return. **Diagnose:**- What % of users complete onboarding?- How long until the first value moment?- What's the drop-off point in the first session? **Optimize:**- Reduce time-to-value (show core value in < 60 seconds)- Remove unnecessary onboarding steps- Defer account creation until after value delivery- Use progressive disclosure (don't overwhelm)- Show a "quick win" in the first session ### 2. Habit Formation (Day 1-7) **Diagnose:**- What triggers bring users back?- Is there a natural usage frequency?- What do retained users do that churned users don't? **Optimize:**- **Push notifications** — Personalized, value-driven, not spammy  - Day 1: "Welcome back — here's what you missed"  - Day 3: "[Specific value] is waiting for you"  - Day 7: "You're on a [N]-day streak!"- **Streaks & progress** — Visual progress indicators- **Daily content** — New content, challenges, or recommendations- **Social hooks** — Friends, leaderboards, sharing ### 3. Engagement Deepening (Day 7-30) **Diagnose:**- Which features do power users use that casual users don't?- What's the engagement cliff (when do users stop exploring)? **Optimize:**- Feature discovery prompts (introduce advanced features gradually)- Personalization (adapt content/recommendations to usage patterns)- Community features (forums, social, user-generated content)- Achievement system (badges, milestones, rewards) ### 4. Long-term Retention (Day 30+) **Diagnose:**- What causes late-stage churn?- Are there seasonal patterns?- Do updates improve or hurt retention? **Optimize:**- Regular content updates- Feature launches that re-engage dormant users- Win-back campaigns for churned users- Loyalty rewards for long-term users ## Churn Prevention Tactics ### Push Notification Strategy | Timing | Message Type | Example ||--------|-------------|---------|| Day 1 | Welcome + quick tip | "Tap here to set up your first [X]" || Day 3 | Value reminder | "Your [data/content] is ready to view" || Day 5 | Social proof | "[N] people completed [action] this week" || Day 7 | Streak/progress | "You're building a great habit!" || Day 14 | Feature discovery | "Did you know you can also [feature]?" || Day 30 | Milestone | "One month! Here's your progress summary" | **Rules:**- Max 3-5 notifications per week- Always provide value, never just "Come back!"- Personalize based on user behavior- Allow granular notification preferences- A/B test timing and copy ### Win-back Campaigns For users who haven't opened the app in 7+ days:1. **Email** (if you have it) — "We've added [feature] since you last visited"2. **Push notification** — "[Specific value] is waiting for you"3. **In-app message** (on return) — "Welcome back! Here's what's new" ### Cancellation Flow (Subscriptions) When a user tries to cancel:1. Ask why (multiple choice)2. Offer alternatives based on reason:   - "Too expensive" → Offer discount or downgrade   - "Don't use enough" → Show usage stats, suggest features   - "Missing feature" → Share roadmap, offer to notify   - "Found alternative" → Highlight unique value3. Offer pause instead of cancel4. Make it easy to cancel (forced retention backfires) ## Output Format ### Retention Diagnostic ```Current State:- Day 1: [X]% (benchmark: [Y]%) [above/below]- Day 7: [X]% (benchmark: [Y]%) [above/below]- Day 30: [X]% (benchmark: [Y]%) [above/below] Biggest Drop-off: Day [N] to Day [N]Estimated Impact: [X]% improvement = [Y] additional monthly users``` ### Action Plan **Week 1 (Quick Wins):**1. [specific tactic with expected impact]2. [specific tactic with expected impact] **Month 1 (High Impact):**1. [specific tactic with expected impact]2. [specific tactic with expected impact] **Quarter 1 (Strategic):**1. [specific tactic with expected impact]2. [specific tactic with expected impact] ## Related Skills - `app-analytics` — Set up retention tracking- `monetization-strategy` — Retention's impact on revenue- `review-management` — Retention issues surface in reviews- `app-launch` — First-time user experience