MENTAL MODEL · M0068

RFM Analysis

BusinessHigh supportManagement

Included

Version 1.0.0 · Updated 2026-07-30

CORE DEFINITION

RFM segments customers using purchase records: recency is the latest purchase date or time since it, frequency is the number of purchases within a specified observation period, and monetary value is total spending during that period. Ranking or binning each dimension and combining them produces groups for marketing tests.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

Distinguishes recently active customers from groups such as lapsed customers with historically frequent, high-value purchases, supporting retention or reactivation tests. Purchase measures are not direct scores of relationship quality or personal worth.

anchor

Anchor fast decisions

Recency, frequency, and monetary value are historical behavioral features. Their rankings or bins combine into customer segments, whose ability to predict future response requires validation on later data. Frequent purchases do not necessarily prove loyalty, and high spending does not necessarily mean high profit.

MINIMUM ACTION

In progress 0/2

Practice this model in one real situation:

Choose an observation period and cutoff date. Aggregate the latest purchase date, purchase count, and net total spending by customer. Assign 1–5 bins so more recent purchases and higher frequency or spending receive higher ranks
document the rules, then test a campaign against a control group within a segment.

Check to track your progress (stored locally)

Learning progress0%

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menu_bookReferencesexpand_more

Source support: Explicit

link
en.wikipedia.orghttps://en.wikipedia.org/wiki/RFM_(market_research)EN · Explicit
verified
link
ibm.comhttps://www.ibm.com/docs/en/spss-statistics/cd?topic=marketing-rfm-analysisEN
verified

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