RRM is a segmentation model developed by Scnario. It places every customer by account age (Registration) against how recently they bought and how much they spent (Recency, Monetary). Recalculated every day across 52 weeks of history with an 8-week prediction, it shows whether value is growing at the pace the account age allows, and where it is heading.
RFM sums spend over the year for every customer the same way. An account registered twenty weeks ago that already spends like a regular looks merely average next to customers with years of history. RRM makes account age its own axis. Value is read against what is realistic for the tenure, so a young, high-spending account shows up as Silver or Gold instead of a mid scorer.
Scored against customers with years of history. Spend looks average, so the account gets the same message as thousands of others.
Scored against accounts of the same age. This level of spend in the first months puts the customer in the top value class for their tenure. The job is to grow value as the account matures.
The clock of the relationship. It only moves one way, at the same pace for every customer, and places them from newest to oldest.
How recently the customer bought. Value that is not recent is value at risk, whatever its size.
How much the customer spent in the rolling year, read against what is realistic for the account age.
Registration on the horizontal axis, the average of Recency and Monetary on the vertical. The left side is where relationships start, the right side is where they mature. Select a segment to see where its customers come from, where they go next and which scenario grows their value.
Mid-tenure customers with high, recent value. The bridge to the top of the map.
Every account moves right every day, whether you act or not. What changes the outcome is how much value they carry when they get there. Each step on the path has one job: make the next move up more likely than the drift down.
RRM and RFC share the same horizontal axis: Registration. RRM measures value, how recently and how much a customer buys. RFC measures breadth, how often and how widely. The same customer moves right on both maps at the same speed, so the two positions can be read side by side, day by day. Hover a segment to see its mirror.
Titans buy across far more categories than Irons or Rusts. Value that depends on a single need is fragile; value spread across the range holds. RRM shows where value stands this week, RFC shows whether there is enough breadth behind it. The 52-week history explains how each customer got there, and the 8-week prediction shows where value is heading.
See how Scnario can turn your customer data into a living understanding of every relationship — and a clear decision about what should happen next.
