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ltv-prediction

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Forecast customer value & optimize spend

Marketing & Sales#marketing analytics#retention#prediction#retail#ltv#customer lifetime value#cpg
AuthorGoldenZero
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill predicts the future value of customers, enabling businesses to make informed decisions about acquisition costs, retention efforts, and marketing investments.

Core Features & Use Cases

  • Predictive LTV Modeling: Utilizes cohort analysis, RFM heuristics, and probabilistic models (BG/NBD, Gamma-Gamma) to forecast customer lifetime value.
  • Strategic Decision Support: Informs customer acquisition cost (CAC) ceilings, retention program ROI, and segment profitability analysis.
  • Use Case: A retail e-commerce brand can use this Skill to determine the maximum allowable cost to acquire a new customer from different marketing channels, ensuring profitable growth.

Quick Start

Analyze my customer lifetime value for retail and highlight top risks and next actions.

Dependency Matrix

Required Modules

None required

Components

assetsreferencesscripts

💻 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: ltv-prediction
Download link: https://github.com/GoldenZero/skills/archive/main.zip#ltv-prediction

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