Analytics

    RFM Analysis

    Term #77

    Customer segmentation by Recency (time since last purchase), Frequency, and Monetary value. Highlights your best customers and those at risk of churning.

    In practice

    RFM is the X-ray of your customer base. Five minutes in Klaviyo shows you: VIPs, 'former' VIPs who've gone quiet, and one-time buyers. Each group needs a completely different message.

    Common misconception

    'RFM is complicated to calculate.' Klaviyo computes RFM automatically: Champions, Loyal, At-Risk, Lost. No spreadsheet required.

    How to fix it

    'At Risk' customers not responding? (1) Change the channel — if email isn't working, try SMS, (2) change the offer — is a discount not enough? Try something new or exclusive, (3) check what happened when they left, (4) accept that some are gone for good.

    Example

    A coffee store: 1,200 'At Risk' customers. Win-back message: 'We've missed you — a free cup of coffee with your next order.' 34% returned, generating $13,500 from a single campaign.

    Priority

    Run RFM in the first quarter. In Klaviyo: Profiles → Predictive Analytics → RFM. Focus: (1) pamper Champions, (2) rescue At-Risk customers.

    Jimmy tracks your RFM Analysis, automatically

    WhatsApp alerts when something important changes. No dashboards, no hassle.