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loyalty-analysis

Community

Turn transactions into loyalty-driven growth.

Data & Analytics#retention#rfm#loyalty#clv#transaction-analysis#pos-data
Authorantikode
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Analyze client transactional data to build a data-driven case for loyalty programs and CRM strategy, or audit an existing loyalty program's health. This skill is part of Antikode's Discovery Engine and produces research that informs strategy proposals and pitch decks.

Core Features & Use Cases

  • RFM segmentation to identify Champions, Loyal customers, Potential Loyals, At Risk, and Hibernating cohorts for targeted campaigns.
  • CLV modeling and revenue-at-risk assessment to quantify loyalty opportunities and ROI potential.
  • Retention & ROI analysis including cohort tracking, churn insights, and structured reports for pitches or audits.
  • Outputs a structured Markdown research report consumed by strategists for CRM and loyalty proposals.

Quick Start

Provide the client brief and a transactional data export to generate the loyalty-analysis report.

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: loyalty-analysis
Download link: https://github.com/antikode/skills/archive/main.zip#loyalty-analysis

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