Understands the RFM model in depth
Model oriented to understand the purchasing behavior around:
The model uses quartiles as parameters. In simple terms, data are taken for the given period, outliers are excluded and the data are divided into 4 sections, or quartiles.
The use of quartiles has the benefit of defining parameters relating to the data rather than configuring them externally, adjusting the categorization to each individual business.
As an example, think about how different the shopping frequency can be between a cafeteria and a computer store. Although both are retail, they are businesses with completely different shopping behavior.
A customer "moves up" in category when he shows favorable buying behavior, usually in the parameter that determines his initial category.
For example, an Occasional client who increases the frequency with which he buys enough to go from quartile 3 to 4, automatically becomes a Loyal client.
The customer can also be downgraded if he shows unfavourable purchasing behaviour.