First of all, you must import your customer data into the RFM En Direct platform. This data typically includes information about past transactions, such as purchase dates and amounts spent.
You configure RFM Live settings by setting thresholds for each RFM dimension. These thresholds allow you to categorize customers based on their recency, frequency, and amount.
RFM En Direct then calculates RFM scores for each client by applying the parameters you have defined. These scores help classify customers into groups.
Once RFM scores are calculated, you can use RFM Live to create customer segments. For example, you might have one segment for loyal customers (high RFM scores) and another for inactive customers (low RFM scores).
Using rfm direct Live for customer analytics has enabled many businesses to achieve significant success in their marketing and customer loyalty efforts.