hormozi-hormozi-retention

Community

Diagnose churn and maximize LTV with retention systems.

Authorrodrigo-altissimo
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It helps you stop revenue leakage by diagnosing churn causes and designing retention, onboarding, and LTV systems that keep customers longer and increase lifetime profit.

Core Features & Use Cases

  • Churn diagnosis & financial impact: Uses churn frameworks to translate retention issues into LTV and revenue risks, then prioritizes what to fix first.
  • Activation-first retention engineering: Identifies activation points and designs onboarding and engagement flows that move customers to “stay” behaviors.
  • LTV maximization playbooks: Builds monetization and retention mechanics (including nurture, win-back, and continuity/commitment structures) to improve LTV:CAC.

Quick Start

Ask it: “Help me diagnose my monthly churn, activation bottleneck, and give me a prioritized 30/60/90-day retention plan to maximize LTV.”

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: hormozi-hormozi-retention
Download link: https://github.com/rodrigo-altissimo/qiartificial/archive/main.zip#hormozi-hormozi-retention

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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