Automated Segmentation using RFM
Recency, Frequency & Monetary (RFM) analysis is a behavior-based technique used to segment customers by examining their transaction history like
How recently they've purchased?
How often do they purchase from you compared to other businesses or websites that sell similar products/services?
And what's the average amount spent per order?
It helps identify customers who may be more susceptible to promotions because of certain traits.
Bought recently, buy often and spend the most
Recent customers sent good amount, bought more than once
About to Sleep
Below-average recency, frequency, and monetary values
Low spender, low frequency, and purchased long ago
Recent shoppers but haven't spent much
Bought more recently but not often
Spend big money, purchased often but long time age
Lowest recency, frequency and monetary values
Spend good money. Responsive to promotions.
Above-average recency, frequency, and monetary values
Can't Lose Them
Made big purchases and often but long ago
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