A Claude Code skill that turns Claude into an expert iOS subscription monetization advisor. It gives direct, benchmarked advice grounded in real data from Adapty's State of In-App Subscriptions 2026 report ($3B revenue, 16,000+ apps).
When you ask monetization questions in Claude Code, this skill automatically activates and provides:
- Instant benchmarking — Compare your metrics (LTV, conversion, retention, churn) against industry data
- Pricing guidance — Region-specific pricing benchmarks across weekly, monthly, and annual plans
- Trial strategy — Whether to use free trials based on your category and plan type
- Growth advice — Which markets to target, when to raise prices, how to reduce churn
- Direct answers — No fluff, just what the data says and what you should do next
- LTV Prediction Calculator — Interactive calculator that projects your LTV, revenue, and breakeven timeline based on your subscription plans, pricing, and conversion data
Tell Claude your subscription plans, pricing, and metrics — it runs the full LTV model and tells you whether your app will be profitable.
What you provide:
- Subscription plans (type, price, distribution %)
- Monthly installs, CR to purchase, CPI
- Trial funnel data (trial start rate, trial-to-paid rate) if you use free trials
- Retention data (optional — defaults to industry benchmarks)
What you get:
- LTV, ARPU, and revenue projections across 8 time horizons (7d → 4yr)
- ROAS and breakeven timeline
- LTV:CAC ratio and unit economics assessment
- Performance grades vs industry benchmarks
- Specific advice on pricing, plan mix, trial optimization, and retention
- "What-if" scenario modeling (e.g., "what if I raise prices 30%?")
Example prompt:
"I have an app with annual ($89.99, 25%), quarterly ($39.99, 35%), monthly ($19.99, 35%), lifetime ($99, 5%). My CR is 6%, CPI is $3, 40k installs."
- "How should I price my Health & Fitness app?"
- "How many free trial days should I offer?"
- "Should I add a weekly plan?"
- "Should I use a free trial or a direct paywall?"
- "Which countries should I target for the best LTV?"
- "What's a good install-to-paid conversion rate?"
- "How do I reduce churn on my annual plan?"
- "Will my app be profitable?"
- "What if I improve my trial-to-paid conversion from 20% to 30%?"
- Clone the repository:
git clone https://github.com/adaptyteam/growth-expert-skill.git- Create the Claude skills directory if it does not exist:
mkdir -p ~/.claude/skills- Copy the skill into your Claude skills folder:
cp -R growth-expert-skill/ios-monetization-expert ~/.claude/skills/- Restart Claude Code.
The skill includes benchmarks for:
| Area | Details |
|---|---|
| LTV | 12-month LTV by category, country, and install LTV |
| Pricing | Regional pricing, pricing index (US baseline), price tier vs LTV |
| Conversion | Full funnel from install to 5th renewal, trial vs direct |
| Retention | Day 30, day 90, and 1-year retention by plan type |
| Refunds | Refund rates by plan type, region, and category |
| LTV Prediction | Revenue projections, ROAS, breakeven, LTV:CAC, scenario modeling |
| Trial Funnel | Trial start rate and trial-to-paid benchmarks with assessment thresholds |
Categories covered: Productivity, Utilities, Education, Health & Fitness, Photo & Video, Lifestyle, Graphics & Design, Entertainment.
Regions covered: North America, Europe, APAC, LATAM, MEA with country-level breakdowns.
All data is from the Adapty State of In-App Subscriptions 2026 report, covering 2025 transaction data.
MIT