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monetization-strategy货币化策略

Agent Skill

monetization-strategy 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

29,664

周安装

1,248

GitHub Stars

1,070

下载量

9,312
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:monetization-strategy(货币化策略)
来源仓库:https://github.com/eronred/aso-skills
仓库路径:skills/monetization-strategy
安装命令:
npx skills add https://github.com/eronred/aso-skills --skill monetization-strategy
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/eronred/aso-skills --skill monetization-strategy

简介

monetization-strategy 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中整理协作事项。

  • 适用于围绕仓库状态、代码变更或协作事项进行整理的场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装使用。
  • 建议确认权限范围和维护状态,避免触发联网或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

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

ModelBest ForProsCons
Freemium + SubscriptionProductivity, health, educationRecurring revenue, high LTVRequires ongoing value delivery
Freemium + IAPGames, social, utilitiesLow barrier, impulse purchasesUnpredictable revenue
Paid UpfrontNiche tools, premium appsSimple, immediate revenueLimits downloads, hard to market
Free + AdsContent, casual gamesMassive reachLow ARPU, hurts UX
HybridMost appsMultiple revenue streamsComplex to optimize

Subscription Pricing Strategy

Pricing Tiers:

TierPurposePricing Guide
FreeAcquisition, habit formationCore value with limitations
MonthlyLow commitment, testing$X.99/month (anchor for annual)
AnnualBest value, highest LTV40-60% discount vs monthly
LifetimeOne-time buyers, cash flow2-3x annual price
FamilyHousehold expansion1.5-2x 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:

CategoryTypical MonthlyTypical 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

TimingConversion RateBest For
Onboarding (before value)Low (2-5%)Only if brand is strong
After aha momentMedium (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 trialMedium (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 LengthBest ForNotes
3 daysSimple apps, quick valueUser must decide fast
7 daysMost appsStandard, good balance
14 daysComplex apps, B2BMore time to form habit
30 daysEnterprise, high-priceRisk 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

MetricFormulaTarget
ARPURevenue / Total UsersVaries by category
ARPPURevenue / Paying Users3-10x ARPU
Conversion RatePaying / Total Users2-10%
Trial-to-PaidPaid / Trial Starts40-60%
LTVARPU × Avg Lifetime> CAC
Payback PeriodCAC / 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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.14%
按下载量换算3,179

Claude

31.6%
按下载量换算2,943

Cursor

19.39%
按下载量换算1,806

Gemini CLI

8.61%
按下载量换算802

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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