Retention Optimization

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by eronred · vlatest · Repository

Predicts customer churn risk & suggests personalized interventions to proactively improve retention rates.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add retention-optimization npx -- -y @trustedskills/retention-optimization
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "retention-optimization": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/retention-optimization"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill helps AI agents diagnose and improve mobile app retention rates. It acts as an expert in mobile app engagement strategy, identifying potential issues and suggesting a prioritized plan to keep users actively engaged with your application. The skill uses industry benchmarks and a structured framework (Activation, Habit Formation, Engagement Deepening, Long-term Retention) to provide actionable recommendations for improving user retention.

When to use it

  • You're experiencing low Day 1, Day 7, or Day 30 retention rates in your mobile app.
  • You want to understand how your app’s performance compares to industry averages based on category.
  • You need help identifying the root causes of user churn and developing strategies to address them.
  • You're looking for guidance on optimizing onboarding, push notifications, or other engagement features.
  • You are trying to determine if changes (like updates) have impacted retention.

Key capabilities

  • Retention Assessment: Analyzes current retention metrics (Day 1, Day 7, Day 30).
  • Industry Benchmarking: Compares your app's performance against industry averages based on category (Games, Social, Health & Fitness, Productivity, E-commerce, Finance, Education).
  • Framework-Based Diagnosis: Uses a four-stage retention framework to pinpoint problem areas.
  • Personalized Recommendations: Suggests specific optimizations for each stage of the user lifecycle, including onboarding improvements and push notification strategies.

Example prompts

  • "What are typical Day 7 retention rates for a social media app?"
  • "My game has a Day 30 retention rate of 2%. What could be causing this?"
  • "How can I improve the activation phase for my productivity app?"
  • “What should my first push notification say to new users?”

Tips & gotchas

  • The skill requires current retention metrics (Day 1, Day 7, Day 30) and your app's category to provide accurate benchmarks.
  • It also benefits from knowing the monetization model of your application (free vs. subscription).
  • The skill focuses on mobile app retention; its recommendations may not be directly applicable to other types of applications or services.

Tags

🛡️

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Details

Version
vlatest
License
Author
eronred
Installs
91

🌐 Community

Passed automated security scans.