In Repeat Customer Insights I developed the Customer Grids so it's easier to see visually how RFM works to segment your customers.
By combining two RFM components, the three grids are able to describe a large amount of customer behavior in one area.
Recency-Frequency (RF) Grid
The Recency-Frequency Grid shows the relationship between how recently customers have ordered against how many orders they've placed. This relationship strongly correlates with customer loyalty (and defection).
Frequency-Monetary (FM) Grid
The Frequency-Monetary Grid shows how much customers are spending with their orders on average. Average spenders are spending close to your store Average Order Value (AOV). While customers who spend more fall into the higher Monetary segments and those who spend less fall into the lower Monetary segments.
By including Frequency, this automatically adjusts the segments so the number of orders is factored out of the segments. That puts one-time customers on equal footing with repeat customers as far as their order values are concerned.
Recency-Monetary (RM) Grid
The Recency-Monetary Grid shows the relationship between your customer loyalty and the amounts they spend. This can help to see if you're retaining bigger spenders or if they are defecting.
Which grid you'd use would depend on what you're focused on for your store right now. It's normal to switch between them over time as you deal with growth, acquisition, or slowdowns.
If you want to get your own customer grids analyzed, every account in Repeat Customer Insights includes RFM, Customer Grids, and other customer segmenting options.
Discover where your best customers come from
Going beyond simple attribution, Repeat Customer Insights lets you analyze and segment your customers by who first sent that customer your way.
This will let you find the best sources of long-term customers, not just anyone who orders.