RFM Analysis For Successful Customer Segmentation Analysis RFM in Big Data RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers based on their transaction history – how recently, how often and how much did they buy. RFM helps divide customers into various categories or clusters to identify customers who are more likely to respond to promotions and also for future personalization services. RFM analysis evaluates which customers are of highest and lowest value to an organization based on purchase recency, frequency, and monetary value, in order to reasonably predict which customers are more likely to make purchases again in the future. What are Recency, Frequency and Monetary? · Recency : How much time has elapsed since a customer’s last activity or transaction with the brand. · ...