shopify-admin-rfm-customer-segmentation

What problem does it solve?

RFM analysis turns raw purchase history into actionable customer segments so you can target the right shoppers instead of guessing who needs win-back, loyalty offers, or reactivation.

Core Features & Use Cases

• Full RFM scoring (Recency, Frequency, Monetary): scores customers across a configurable lookback window and supports quintile bucketing for segmentation.
• Named segment classification: assigns customers into practical groups such as Champions, Loyal Customers, At-Risk, Hibernating, and Lost (plus intermediate segments).
• Optional customer tagging: read-only by default, with the ability to tag segments when enabled (requires additional write permissions).
• Export-ready output: produces a CSV report including customer metrics (R/F/M scores) and segment labels for campaign workflows.

Quick Start

Use the skill to generate an RFM segmentation CSV for your last 365 days of customer purchasing history and review the Champions and At-Risk lists.