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lifetime-value-predictor

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Predict and optimize customer lifetime value

Data & Analytics#roi#segmentation#ltv#predictive-analytics#ml-models#clv
Authorhuifer
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill helps businesses predict and optimize Customer Lifetime Value (LTV) using multiple models, enabling segmentation and CLV/CAC analysis to maximize ROI.

Core Features & Use Cases

  • Multi-model CLV prediction: supports simple historical CLV, predictive ML-based CLV, and BG/NBD for subscription-like behaviors.
  • Hierarchical segmentation: value- and behavior-based customer tiers for targeted actions.
  • LTV trend and ROI planning: forecasts growth and drives retention and pricing strategies with ROI estimates.
  • Use Case: Example: A retailer uses this skill to forecast 12-month CLV by segment and prioritize VIP programs and retention campaigns.

Quick Start

Analyze a customer or segment to generate a forecast and actionable recommendations.

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: lifetime-value-predictor
Download link: https://github.com/huifer/Shopilot/archive/main.zip#lifetime-value-predictor

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