SKILLS/monetization-strategy/SKILL.md
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.
npx skillsauth add pinkpixel-dev/skills-collection-2 monetization-strategyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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.
app-marketing-context.md — read it for context| 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:
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 |
retention-optimizationRecommended Model: [model]
Pricing:
Monthly: $[X.99]
Annual: $[X.99] (save [X]%)
Trial: [N] days free
Paywall Strategy:
Timing: [when to show]
Type: [hard/soft/metered]
Expected Metrics:
Conversion: [X]%
ARPU: $[X]/month
LTV: $[X]
retention-optimization — Retention directly impacts LTVcompetitor-analysis — Competitive pricing analysisab-test-store-listing — Test pricing page elementsapp-analytics — Track revenue metricsua-campaign — CAC vs LTV optimizationdevelopment
A cryptographic audit systematically reviews an application's use of cryptographic primitives, protocols, and key management to identify vulnerabilities such as weak algorithms, insecure modes, hardco
tools
Extract stored credentials from compromised endpoints using the LaZagne post-exploitation tool to recover passwords from browsers, databases, system vaults, and applications during authorized red team operations.
testing
Analyze and bypass Content Security Policy implementations to achieve cross-site scripting by exploiting misconfigurations, JSONP endpoints, unsafe directives, and policy injection techniques.
testing
Scan container images, filesystems, and Kubernetes manifests for vulnerabilities, misconfigurations, exposed secrets, and license compliance issues using Aqua Security Trivy with SBOM generation and CI/CD integration.