Recency, Frequency, and Monetary Value (RFM)#

Stage 4 · 🧩 Sampling, Partitioning & Segmentation · Lesson 28 of 56 · intermediate

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Important

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Three questions about a customer#

How valuable is a customer? RFM answers with three simple questions, each read straight from transaction history: how recently did they buy, how often do they buy, and how much do they spend? These three numbers — Recency, Frequency and Monetary value — summarise a customer’s behaviour compactly enough to rank an entire database.

The three dimensions#

Each dimension is one measurement per customer:

Recency — days since their last purchase. Fewer days is better: recent buyers are far likelier to buy again.
Frequency — the number of purchases in a chosen window. More is better: repeat buying signals habit and loyalty.
Monetary — the total spend over that window. More is better: it captures the customer’s economic value.

Why all three#

No single dimension tells the whole story. A big spender who has not bought in two years is a churn risk, not a star; a frequent buyer with tiny orders is loyal but low-margin. Combined, the three give a holistic view that any one alone would distort. (Of the three, recency tends to predict future behaviour best, and monetary least.)

Simple and proven#

RFM’s great virtue is simplicity. It needs only data every business already has — an order history — and no elaborate modelling. The technique dates back to direct-mail marketing in the last century, and it endures because it works: it reliably surfaces the roughly 20% of customers who drive most of the revenue. The next lesson turns these three raw numbers into scores.

Hint