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Component: CRM-ANA
Component Name: CRM Analytics
Description: Group of settings for segmenting business partners during an RFM analysis. The settings made in the RFM segmentation model determine which business partners are to be divided up, which data is to form the basis of this division, and into how many RFM segments they are to be divided.
Key Concepts: RFM segmentation model is a customer segmentation technique used in CRM Analytics. It stands for Recency, Frequency, and Monetary value. This model helps to identify customers who are most likely to respond to a marketing campaign. It is based on the idea that customers who have recently purchased, frequently purchase, and spend more money are more likely to respond positively to a marketing campaign. How to use it: The RFM segmentation model can be used to identify customers who are most likely to respond positively to a marketing campaign. To do this, the model looks at three factors: recency (how recently the customer has purchased), frequency (how often the customer has purchased), and monetary value (how much money the customer has spent). Based on these three factors, customers can be segmented into different groups. Tips & Tricks: When using the RFM segmentation model, it is important to consider all three factors when segmenting customers. For example, if a customer has recently purchased but not frequently or spent much money, they may not be as likely to respond positively to a marketing campaign as someone who has recently purchased, frequently purchased, and spent more money. Related Information: The RFM segmentation model is just one of many customer segmentation techniques used in CRM Analytics. Other techniques include demographic segmentation, psychographic segmentation, and behavioral segmentation. Each of these techniques can be used to identify different types of customers and target them with specific marketing campaigns.
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