Agent SkillsEronred/aso-skills › monetization-strategy

monetization-strategy

GitHub

指导用户设计或优化应用变现策略,涵盖定价、订阅、IAP及Paywall心理学。提供模型对比、价格阶梯建议及转化提升技巧,旨在平衡收入与用户体验。

skills/monetization-strategy/SKILL.md Eronred/aso-skills

Trigger Scenarios

design or optimize app's monetization pricing strategy paywall design subscription optimization in-app purchases

Install

npx skills add Eronred/aso-skills --skill monetization-strategy -g -y
More Options

Use without installing

npx skills use Eronred/aso-skills@monetization-strategy

指定 Agent (Claude Code)

npx skills add Eronred/aso-skills --skill monetization-strategy -a claude-code -g -y

安装 repo 全部 skill

npx skills add Eronred/aso-skills --all -g -y

预览 repo 内 skill

npx skills add Eronred/aso-skills --list

SKILL.md

Frontmatter
{
    "name": "monetization-strategy",
    "metadata": {
        "version": "1.0.0"
    },
    "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."
}

Monetization Strategy

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.

Initial Assessment

  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)

Monetization Models

Model Comparison

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

Subscription Pricing Strategy

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:

  • End in .99 ($4.99, $9.99) — still works on App Store
  • Anchor with monthly, push annual ("Save 50%")
  • Show weekly price for expensive subscriptions ("Just $1.99/week")
  • Use 3-tier pricing (Good/Better/Best) — most users pick the middle

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

Paywall Design

When to Show the Paywall

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

Paywall Best Practices

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:

  • "Unlock [specific benefit]" > "Go Premium"
  • Showing what they're missing (blurred content, locked features)
  • Free trial with no commitment messaging
  • Annual savings percentage displayed prominently
  • Before/after or with/without comparison

Free Trial Strategy

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:

  • Send value reminders during trial (Day 1, 3, 5)
  • Show trial countdown ("3 days left — here's what you'll lose")
  • Offer discounted first period at trial end
  • Make cancellation easy (builds trust, reduces refund requests)

In-App Purchase Strategy

Consumable IAPs (Games, Content)

  • Price anchoring: Show expensive option first
  • Bundle discounts: "Best Value" badge on larger packs
  • Limited-time offers: Urgency drives impulse purchases
  • Starter packs: One-time discounted offer for new users

Non-Consumable IAPs (Features, Content Packs)

  • Unlock premium features individually
  • Bundle related features at a discount
  • "Pro Upgrade" as a one-time purchase alternative to subscription

Revenue Optimization

Key Metrics

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

Optimization Levers

  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)

Output Format

Monetization Recommendation

Recommended 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]

Implementation Roadmap

  1. Week 1: [pricing and paywall setup]
  2. Week 2: [trial flow and messaging]
  3. Month 1: [A/B test pricing, optimize paywall]
  4. Month 2: [add secondary revenue stream]

Related Skills

  • retention-optimization — Retention directly impacts LTV
  • competitor-analysis — Competitive pricing analysis
  • ab-test-store-listing — Test pricing page elements
  • app-analytics — Track revenue metrics
  • ua-campaign — CAC vs LTV optimization

Version History

  • e2a7c45 Current 2026-07-24 21:04

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Metadata

Files
0
Version
4df730f
Hash
327c3a96
Indexed
2026-07-24 21:04

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