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RFM Analysis

Summary

Recency Frequency Monetary analysis is a marketing technique used to analyze and segment customers based on three key factors: Recency, Frequency, and Monetary. This model helps businesses understand customer behavior, identify high-value customers, and tailor marketing strategies accordingly.

Key Components:

  1. Recency (R): Refers to how recently a customer made a purchase or engaged with a business. The assumption is that customers who have made a purchase recently are more likely to respond to marketing efforts or make another purchase than those who haven’t interacted in a while.

  2. Frequency (F): Measures how often a customer makes a purchase within a given period. Frequent buyers are often considered more loyal, as they are engaging with the brand regularly.

  3. Monetary (M): Tracks how much money a customer spends on purchases. Customers who spend more are considered more valuable to the business, as they contribute more to revenue.

Process:

To perform RFM analysis, businesses typically:

  • Score customers based on each of the three criteria (Recency, Frequency, and Monetary), often on a scale (e.g., 1 to 5), where higher values indicate better performance (e.g., more recent, frequent, or higher spending).
  • Segment customers into groups based on their RFM scores. For example, a customer who has purchased recently (high recency), frequently (high frequency), and spent a lot (high monetary) would be considered a high-value customer.
  • Target marketing efforts to specific segments. For example, high RFM customers may receive special offers or loyalty rewards, while low RFM customers might be targeted with re-engagement campaigns.

Applications:

  • Customer Retention: Focus on high-value customers for retention programs.
  • Personalized Marketing: Tailor messages and offers to different customer segments.
  • Sales Forecasting: Predict future customer behavior based on historical RFM scores.

RFM analysis is widely used in direct marketing, e-commerce, and customer relationship management (CRM) to optimize targeting and resource allocation.

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