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@32566aa

App Store marketing strategy advisor that analyzes your app and recommends the best promotional features. Orchestrates sub-skills for implementation. Use when planning app promotion, launch strategy, user acquisition, or re-engagement campaigns.

Use this Skill: https://skilld.dev/gh/rshankras/claude-code-apple-skills/marketing-strategy

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strategy-templatessubscription-app.md

≈1.6k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Strategy Template: Subscription Apps

Playbook for apps with auto-renewable subscriptions as the primary revenue model.

Core Strategy: The Subscription Funnel

ACQUIRE → TRIAL → CONVERT → RETAIN → WIN BACK
   ↑         ↑        ↑         ↑         ↑
   |         |        |         |         |
  CPP    Intro     Paywall   Events    Win-back
  PPO    Offer     Design    Content    Offers
  ASA    Trial     Pricing   Updates    Offer Codes

Each stage has specific App Store features that optimize it.


Stage 1: Acquire (Get Visitors to Product Page)

Key Features

  • Product Page Optimization: A/B test screenshots, descriptions, and icons
  • Custom Product Pages: Tailored pages per audience segment or ad campaign
  • Featuring Nomination: Editorial visibility → high-quality, low-cost installs
  • App Store Assets: Professional screenshots and app preview videos

Metrics to Track

  • Impressions → Product page views (conversion rate)
  • Product page views → Downloads (tap-through rate)
  • Source attribution (organic vs. search vs. browse)

Quick Wins

  1. Optimize first 3 screenshots (most users don't scroll)
  2. Make subtitle benefit-focused, not feature-focused
  3. Add app preview video showing core value in first 5 seconds

Stage 2: Trial (Convert Downloads to Trial Starts)

Key Features

  • Introductory Offers: Free trial (3, 7, or 14 days) or discounted first period
  • Promoted IAP: Show subscription directly on the product page

Trial Duration Decision

App Usage Pattern Recommended Trial Reason
Daily use (habit) 7 days One week to build habit
Weekly use 14 days Two cycles to see value
Infrequent/project-based 7 days Quick value demonstration
Complex/onboarding-heavy 14-30 days Time to learn and integrate

Onboarding During Trial

  • Guide users to premium features immediately (not free features)
  • Show progress/value metrics ("You've completed 5 sessions this week")
  • Trigger contextual upsell at natural upgrade moments

Stage 3: Convert (Trial → Paid Subscriber)

Key Features

  • Paywall Design: Use generators/paywall-generator for StoreKit 2 implementation
  • Pricing Psychology: Annual-first presentation, anchor pricing
  • Promotional Offers: Discounted rate for users who didn't convert from trial

Conversion Tactics

  1. Trial ending notification 2-3 days before expiry
  2. Value summary showing what they'll lose ("You tracked 12 workouts")
  3. Annual offer presented as "save X%" vs. monthly
  4. Promotional offer 7-14 days after trial expires if not converted

Price Testing Approach

  1. Start with category benchmark pricing
  2. Run 90-day A/B test on pricing page layout
  3. Test annual vs. monthly prominence
  4. Never test price directly (App Store doesn't support price A/B)

Stage 4: Retain (Keep Subscribers Active)

Key Features

  • In-App Events: Regular content/challenges to maintain engagement
  • Promotional Offers: Loyalty discounts at renewal risk points

Retention Event Calendar

Timing Event Type Goal
Monthly Feature spotlight or challenge Remind of value
Quarterly Major content update event Re-engage dormant users
Seasonal Themed campaign (New Year, etc.) Capitalize on motivation spikes
Anniversary Personal milestone celebration Emotional connection

Churn Prevention Signals

Watch for these and trigger Promotional Offers:

  • Usage drops significantly (< 50% of normal)
  • User hasn't opened app in 14+ days
  • User downgrades from premium features
  • User contacts support with complaints

Stage 5: Win Back (Recover Churned Subscribers)

Key Features

  • Win-Back Offers: StoreKit 2 win-back flow for lapsed subscribers
  • Offer Codes: Distribute via email campaigns to churned users
  • In-App Events: Signal major updates to bring users back

Win-Back Timeline

Days Since Churn Action Offer
7-14 App Store win-back offer 25-50% off first period
30 Email with offer code Free month
60-90 In-App Event notification Major update announcement
90+ Aggressive win-back offer 60%+ off or extended trial

Win-Back Messaging

  • Focus on what's new since they left
  • Acknowledge time away ("We've been busy while you were gone")
  • Lead with the single most compelling new feature
  • Make the offer time-limited to create urgency

Subscription App Checklist

Pre-Launch

  • Configure subscription products in App Store Connect
  • Set up introductory offer (free trial recommended)
  • Implement StoreKit 2 with paywall-generator skill
  • Prepare 3+ screenshot variations for PPO testing
  • Write benefit-focused description and subtitle
  • Plan launch In-App Event

Launch Month

  • Submit featuring nomination (if not done pre-launch)
  • Start Product Page Optimization test
  • Monitor trial-to-paid conversion rate
  • Set up promotional offer for trial non-converters
  • Configure promoted IAP

Growth Phase (Month 2-6)

  • Create Custom Product Pages for top audience segments
  • Establish monthly In-App Event cadence
  • Set up win-back offer for first churned cohort
  • Distribute offer codes to partners/influencers
  • Iterate on paywall design based on conversion data

Mature Phase (Month 6+)

  • Full win-back offer pipeline active
  • Quarterly featuring nomination submissions
  • Seasonal event calendar planned 3 months ahead
  • Regular PPO tests running
  • Offer code campaigns for email list

Revenue Benchmarks (Subscription Apps)

Metric Below Average Average Good Excellent
Trial start rate < 5% 5-10% 10-20% > 20%
Trial → Paid < 30% 30-50% 50-65% > 65%
Monthly churn > 10% 5-10% 3-5% < 3%
Annual plan mix < 30% 30-50% 50-70% > 70%
D30 retention < 15% 15-25% 25-40% > 40%

Use these benchmarks to identify which funnel stage needs the most attention.

Source: SKILL.md on GitHub

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    The skill is a marketing strategy advisor that provides recommendations based on user-provided app profiles. It is generally safe but contains an indirect prompt injection attack surface because it processes untrusted user input without explicit sanitization or boundary markers while maintaining file-writing capabilities.

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Signed by skilld at 32566aa. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 months ago.

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