Traditional database marketing is usually based on a methodology called RFM — short for Recency, Frequency and Monetary value. Recency is the length of time since a customer’s last purchase, Frequency measures the number of times a customer has made purchases and Monetary value is the dollar amount of those purchases. Database marketers use various combinations of these three numbers to score a customer, A weakness of the RFM approach is apparent in the following table describing the purchasing histories of two customers.
Customer |
Jan
|
July
|
Sep
|
Dec
|
Jan
|
---|---|---|---|---|---|
Customer X |
$1500
|
$1000
|
$500
|
$200
|
$100
|
Customer Y |
$100
|
$200
|
$500
|
$1000
|
$1500
|
Table 1
Both customers have identical R, F, and M scores and yet the interpretation of those values suggests very different futures for the two. Other problems with the RFM approach appear when they are combined to form a single score.