Data Science
RFM Analysis: Identify & Target Your Most Valuable Customers
Pocketshop's RFM analysis (Recency, Frequency, Monetary Value) automatically segments your entire customer base across three dimensions: when did they last buy, how often do they buy, how much do they spend? The result: a clear prioritisation of your marketing resources.
What this feature does for you
Identify VIP customers early
RFM identifies high-value customers before they churn – enabling proactive retention for your best buyers.
Re-engage at-risk customers
Customers with high historical value but long inactivity are flagged as re-engagement targets – before they're gone.
Optimise marketing ROI
Budget flows to segments with the highest return potential – no wasted resources on disengaged customers.
Frequently asked questions about RFM Analysis
- How are the RFM scores calculated?
- Pocketshop automatically calculates R, F and M scores on a 1-5 scale based on transaction data.
- How often is the RFM analysis updated?
- Daily – scores always reflect current purchase behaviour and react to new transactions.
- Can I use RFM segments directly for campaigns?
- Yes. RFM segments like 'Champions', 'Loyal Customers' or 'At Risk' can be selected directly as campaign audiences.
More features in Data Science
Customer loyalty pays off – secure your digital marketplace now.
Book a free, no-obligation demo and see live how Pocketshop works for your business.