Official estimates for UK household food waste in 2015 come to 7.3m tonnes. Of this the avoidable element, if not wasted, would have saved the average household £480 pa.
Yet we have discovered that marketers who allow themselves to be governed by the use of RFM (recency, frequency, monetary value) as their criteria for selecting which customers to engage with are allowing themselves comparable customer wastage.
RFM has been recognized for many years as a great way to select customers for marketing communications, but it has a significant flaw!
People who still have a relationship with your company get ignored if they are not continually buying from you.
We routinely find customers on the bottom rungs of the RFM ladder that can still be profitably communicated with if you take a different approach.
In a recent case of a home shopping company we found customers who could have provided an extra £1m of net demand being excluded by RFM from receiving catalogues.
To find the valuable individual customers in your older RFM segments we build a multi-variate purchase value propensity model. This takes account of a wider range of variables than RFM, such as product categories, and will combine data from individual transactions in many more complex ways than RFM can do.
We then build a matrix that overlay RFM segments with propensity bands.
In the top right hand corner of this matrix we have people who would have been forgotten by RFM but who in fact still have considerable demand value according to the propensity model.