Glossary · CRM & retentionTOFU
RFM segmentation
The short answer
RFM segmentation groups customers by three behaviours: Recency (how recently they bought), Frequency (how often they buy) and Monetary value (how much they spend).
It's simple, uses data every store already has, and consistently produces more useful segments than demographics.
Typical segments
- Champions — recent, frequent, high spend: reward and ask for referrals
- Loyal — frequent buyers: cross-sell and loyalty perks
- Promising — recent first-timers: nurture toward a second purchase
- At risk — used to buy often, haven't recently: win-back
- Hibernating — long lapsed, low value: occasional, low-cost reminders
- Big spenders — high value, low frequency: premium offers
In practice
A simple RFM programme for a D2C brand: WhatsApp early access for Champions, cross-sell emails for Loyal customers, a second-order incentive for Promising first-timers and an escalating win-back sequence for At-risk customers. Stop sending discounts to Champions who would have bought at full price.
How to score RFM
- Recency — days since last purchase, scored 1–5.
- Frequency — number of purchases, scored 1–5.
- Monetary — total spend, scored 1–5.
- Combine scores into segments (e.g., 5-5-5 champions, 1-1-1 lapsed).
- Act — tailor offers and frequency by segment.
RFM in practice
A store scores customers on recency, frequency and monetary value. Recent, frequent, high-value customers get early access; lapsed high-value customers get win-back offers.
Common RFM mistakes
- Treating every segment the same
- Discounting loyal buyers unnecessarily
- Never refreshing scores
Frequently asked questions
How do you score RFM?
Commonly by ranking customers into groups (for example, 1–5) on each dimension and combining the scores.
Do we need special software?
No — a spreadsheet works for small bases; most CRMs and eCommerce tools can calculate it.
Which RFM segment should get offers?
At-risk and lapsed segments often warrant win-back offers; champions respond better to early access and recognition.
Can RFM be used for ad targeting?
Yes — upload segments (hashed, with consent) for exclusions, lookalikes or retention campaigns.
Do we need special software for RFM?
Not necessarily — many CRMs and spreadsheets can calculate RFM scores.
How often should RFM scores be updated?
Monthly or more often for active businesses.
Related terms
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