RFM Model

The RFM model is a classic analytical tool used in foreign trade customer management to quantify customer value. It evaluates customers across three dimensions: Recency (time since last purchase), Frequency (purchase frequency), and Monetary (purchase amount). In foreign trade scenarios, it helps salespeople identify high-value customers, provide early warning of churn risk, and develop differentiated follow-up strategies. For example, customers with a low R value (recent purchase) and high F and M values are core customers who need priority maintenance; customers with a high R value (no order for a long time) but high historical M value need focused recovery efforts. Usage notes: time thresholds should be adjusted according to industry purchasing cycles to avoid misjudgment due to seasonal factors; data must be updated regularly, preferably recalculated quarterly or semiannually. The difference from Customer Lifetime Value (CLV) is that RFM performs static segmentation based on historical transaction behavior, while CLV focuses more on predicting future long-term contribution. The RFM model is simple and easy to implement, but it should be combined with qualitative indicators such as customer satisfaction and loyalty to avoid over-reliance on transaction data.