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cac-modeler

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Model unit economics: LTV, CAC insights.

Data & Analytics#modeling#budget#retention#channel#ltv#cac#go-no-go
AuthorMaxKmet
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill models LTV, CAC by channel, calculates LTV:CAC ratios, payback period, and viability verdict using retention data and market_insights calibration to help indie startups decide where to invest.

Core Features & Use Cases

  • Channel-level LTV and CAC modeling to compare performance across customer segments.
  • LTV:CAC ratios, payback period calculations, and a viability verdict tailored to indie budgets.
  • Use Case: Validate whether a new product idea justifies a marketing spend plan based on retention-driven assumptions.

Quick Start

Ask the agent to build an LTV and CAC model for a new product using your retention data and indie budget tiers.

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: cac-modeler
Download link: https://github.com/MaxKmet/idea-validation-agents/archive/main.zip#cac-modeler

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