shopify-admin-rfm-customer-segmentation

RFM customer segmentation is computed by evaluating Recency, Frequency, and Monetary scores from your Shopify order history. This process aggregates per-customer metrics using a configurable lookback window and applies quintile scoring to group shoppers into actionable segments.

Yes, you can export Shopify customer segments to a CSV file. The analysis produces an export-ready CSV report containing customer metrics, R/F/M scores, and segment labels like Champions or At-Risk for use in campaign workflows.

The best way to identify at-risk customers is through RFM scoring, which classifies shoppers into named lifecycle segments. By analyzing purchase history over a configurable lookback window, you can accurately select targets for win-back campaigns and loyalty offers.

RFM analysis is read-only by default and does not require write permissions. However, if you want to enable optional customer tagging to apply segment labels directly in Shopify, additional write permissions are required.

Shopify GraphQL API calculates RFM metrics by querying orders and customers, then aggregating per-customer purchase data. It evaluates Recency, Frequency, and Monetary values over a set lookback window to generate quintile scores for lifecycle classification.

RFM scoring creates practical lifecycle segments for retention marketing, including Champions, Loyal Customers, At-Risk, Hibernating, and Lost. It also assigns intermediate segments to help suppress lost customers and target reactivation campaigns accurately.