RFM Segmentation (Recency, Frequency, Monetary)
RFM segmentation groups customers by three things: Recency (how recently they bought), Frequency (how often they buy) and Monetary value (how much they spend). Each customer gets a score on all three, and those scores tell you who your best customers are, who is slipping away and who is worth more attention.
Why it matters for a small business
Not all customers are equal, and treating them the same wastes money and goodwill. RFM uses data you already have in your sales or booking records to sort people into useful groups without guesswork. It is one of the simplest ways to decide who gets a thank-you, who gets a winback offer and who should not get discounts at all.
Common RFM groups
- Best customers: bought recently, buy often, spend the most. Thank them and do not train them to wait for discounts.
- Loyal regulars: buy often but spend less. Good candidates for upgrades or add-ons.
- At risk: used to buy often, but not lately. Reach out before they are gone.
- New customers: bought recently for the first time. Focus on a great second experience.
- Lost: long time since last purchase, low frequency. A light winback attempt, then let them go.
A real-world example
A pet supply store pulls a year of sales from its point-of-sale system and scores each customer. They find a group of high-spending customers who have not been in for three months. A personal email from the owner with a note about new products brings many of them back. Meanwhile, they stop sending deep discounts to their best regulars, who were buying anyway.
Getting started
Export purchase data with customer email, date and amount. Score each factor from 1 to 5, then build two or three segments that match real actions you will take. Many email platforms can do this automatically once your sales data is connected.
Related terms: List Segmentation, Engagement Score, Tagging. We build RFM segments as part of our email automation and deliverability service.
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