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customer-analytics

Official

Unlock customer insights for retention.

Data & Analytics#retention#segmentation#cohort analysis#rfm#customer analytics#churn prediction
Authorfinsilabs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill transforms raw customer order data into actionable insights, helping you understand customer behavior, predict churn, and improve retention strategies.

Core Features & Use Cases

  • RFM Scoring: Segment customers based on Recency, Frequency, and Monetary value.
  • Churn Prediction: Identify customers at risk of leaving.
  • Purchase Frequency Analysis: Understand how often customers buy.
  • Cohort Analysis: Track customer retention over time.
  • Use Case: Identify your "Champions" (recent, frequent, high-spending customers) and create a VIP program for them, while simultaneously targeting "At Risk" customers with win-back campaigns.

Quick Start

Use the customer-analytics skill to analyze customer purchase frequency and identify at-risk customers.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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: customer-analytics
Download link: https://github.com/finsilabs/awesome-ecommerce-skills/archive/main.zip#customer-analytics

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