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ltv-prediction

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Forecast customer value & optimize spend.

Marketing & Sales#forecasting#marketing analytics#retention#prediction#ltv#clv#customer lifetime value
Authorwassemgtk
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill predicts Customer Lifetime Value (LTV) to help businesses make informed decisions about customer acquisition costs, retention investments, and marketing resource allocation.

Core Features & Use Cases

  • LTV Forecasting: Predicts future customer value using historical data, cohort analysis, RFM segmentation, and probabilistic models (BG/NBD, Gamma-Gamma).
  • Acquisition Optimization: Informs customer acquisition cost (CAC) ceilings and evaluates LTV:CAC ratios for profitable growth.
  • Retention Strategy: Helps prioritize investments in retention programs by identifying high-value customer segments.
  • Use Case: A CPG e-commerce brand can use this Skill to determine how much they can afford to spend acquiring a new customer through different marketing channels, ensuring a positive return on investment.

Quick Start

Use the ltv-prediction skill to forecast the 24-month LTV for our customer base using the provided transaction history and acquisition cost data.

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

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