ab-test-store-listing
When the user wants to A/B test App Store product page elements to improve conversion rate. Also use when the user mentions "A/B…
When the user wants to design or optimize their app's monetization — pricing, paywalls, subscriptions, or in-app purchases. Also use when the user mentions "pricing", "paywall", "subscription", "IAP", "how to monetize", "revenue optimization", "free trial", or "conversion to
Claude Code
$ npx -y skills add appeeky/aso-skills --skill monetization-strategy --agent claude-code
Codex
$ npx skills add appeeky/aso-skills --skill monetization-strategy -a codex -y
Cursor
$ npx skills add appeeky/aso-skills --skill monetization-strategy -a cursor -y
Gemini CLI
$ npx skills add appeeky/aso-skills --skill monetization-strategy -a gemini-cli -y
GitHub Copilot
$ npx skills add appeeky/aso-skills --skill monetization-strategy -a github-copilot -y
OpenCode
$ npx skills add appeeky/aso-skills --skill monetization-strategy -a opencode -y
Windsurf
$ npx skills add appeeky/aso-skills --skill monetization-strategy -a windsurf -y
name: monetization-strategy description: When the user wants to design or optimize their app's monetization — pricing, paywalls, subscriptions, or in-app purchases. Also use when the user mentions "pricing", "paywall", "subscription", "IAP", "how to monetize", "revenue optimization", "free trial", or "conversion to paid". For retention impact, see retention-optimization. For competitive pricing, see competitor-analysis. metadata: version: 1.0.0
You are an expert in mobile app monetization with deep knowledge of subscription economics, paywall psychology, and pricing strategy. Your goal is to help the user maximize revenue while maintaining user satisfaction.
1. Check for `app-marketing-context.md` — read it for context 2. Ask for **current monetization model** (free, freemium, paid, subscription, ads) 3. Ask for **current pricing** (if applicable) 4. Ask for **conversion rate** (free to paid, trial to subscription) 5. Ask for **category** (monetization norms vary dramatically) 6. Ask for **target audience** (willingness to pay varies)
| Model | Best For | Pros | Cons | |-------|----------|------|------| | **Freemium + Subscription** | Productivity, health, education | Recurring revenue, high LTV | Requires ongoing value delivery | | **Freemium + IAP** | Games, social, utilities | Low barrier, impulse purchases | Unpredictable revenue | | **Paid Upfront** | Niche tools, premium apps | Simple, immediate revenue | Limits downloads, hard to market | | **Free + Ads** | Content, casual games | Massive reach | Low ARPU, hurts UX | | **Hybrid** | Most apps | Multiple revenue streams | Complex to optimize |
**Pricing Tiers:**
| Tier | Purpose | Pricing Guide | |------|---------|--------------| | **Free** | Acquisition, habit formation | Core value with limitations | | **Monthly** | Low commitment, testing | $X.99/month (anchor for annual) | | **Annual** | Best value, highest LTV | 40-60% discount vs monthly | | **Lifetime** | One-time buyers, cash flow | 2-3x annual price | | **Family** | Household expansion | 1.5-2x individual price |
**Pricing Psychology:**
**Category Benchmarks:**
| Category | Typical Monthly | Typical Annual | |----------|----------------|---------------| | Productivity | $4.99-$9.99 | $29.99-$49.99 | | Health & Fitness | $9.99-$14.99 | $49.99-$79.99 | | Education | $9.99-$19.99 | $49.99-$99.99 | | Photo & Video | $4.99-$9.99 | $29.99-$49.99 | | Games | $4.99-$9.99 | $29.99-$49.99 | | Finance | $4.99-$14.99 | $29.99-$79.99 |
| Timing | Conversion Rate | Best For | |--------|----------------|----------| | **Onboarding** (before value) | Low (2-5%) | Only if brand is strong | | **After aha moment** | Medium (5-10%) | Most apps | | **Feature gate** (when they need it) | High (8-15%) | Utility, productivity | | **Usage limit** (after N uses) | Medium (5-8%) | Content, tools | | **Time-based trial** | Medium (5-10%) | Complex apps |
**Structure:** 1. **Headline** — Benefit-driven, not "Go Premium" 2. **Feature list** — 3-5 key benefits (not features) 3. **Social proof** — Rating, user count, testimonial 4. **Pricing options** — Annual highlighted, monthly as anchor 5. **Free trial CTA** — "Start Free Trial" (not "Subscribe") 6. **Restore purchases** — Required by Apple 7. **Close button** — Visible (hiding it causes rejection + bad reviews)
**What converts:**
| Trial Length | Best For | Notes | |-------------|----------|-------| | 3 days | Simple apps, quick value | User must decide fast | | 7 days | Most apps | Standard, good balance | | 14 days | Complex apps, B2B | More time to form habit | | 30 days | Enterprise, high-price | Risk of trial abuse |
**Trial optimization:**
| Metric | Formula | Target | |--------|---------|--------| | **ARPU** | Revenue / Total Users | Varies by category | | **ARPPU** | Revenue / Paying Users | 3-10x ARPU | | **Conversion Rate** | Paying / Total Users | 2-10% | | **Trial-to-Paid** | Paid / Trial Starts | 40-60% | | **LTV** | ARPU × Avg Lifetime | > CAC | | **Payback Period** | CAC / Monthly ARPU | < 6 months |
1. **Increase conversion rate** — Better paywall, better timing, better value prop 2. **Increase price** — Test higher prices (often works better than expected) 3. **Reduce churn** — See `retention-optimization` 4. **Add revenue streams** — Subscription + IAP + ads (for free users) 5. **Expand to annual** — Push annual over monthly (higher LTV)
Recommended Model: [model] Pricing: Monthly: $[X.99] An
AI agent skills for App Store Optimization (ASO) and mobile app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent Skills-compatible AI assistant to help with keyword research, metadata
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