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What is RFM segmentation for ecommerce customers?

RFM (Recency, Frequency, Monetary) groups buyers into VIP, loyal, at-risk, new, and lost — so marketing and exports target the right phones, not one blast list.

Clothing operators with 500+ repeat buyers cannot treat every phone the same. RFM segmentation turns order history into segments you can WhatsApp, coupon, or upload to Meta custom audiences.

What is RFM?

Direct answer

RFM scores customers by how recently they ordered (R), how often (F), and how much they spent (M) — then labels them (e.g. VIP vs at-risk) for retention campaigns.

Segments on Adexcell stack

Direct answer

vip, loyal, at_risk, new, and lost — recalculated nightly on CustomerProfile. Admin exports CSV or Meta custom audiences filtered by segment.

  • vip — high spend + recent
  • loyal — repeat buyers
  • at_risk — was active, slipping
  • new — first orders
  • lost — long inactive

FAQ

Same answers as FAQPage structured data on this URL.

How often segments update?
Daily 2 AM server cron — not real-time per click.
Export to Meta?
Yes — custom audience export endpoint with segment filter.
RFM vs trust score?
RFM is marketing segments; trust score is fraud/COD risk per phone — both exist.
Need 1000 orders first?
Useful after ~100+ customers; rules still run on smaller bases.
Daraz gives this?
Marketplaces own the list — RFM needs owned checkout data.
Md. Sadnan Hossen Shafin

Written by

Md. Sadnan Hossen Shafin

Co-founder & CEO

Builds production-grade Next.js ecommerce for Bangladesh clothing brands — security, COD, couriers, and analytics.

Full profile & published work →