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Posted: Wed Jan 29, 2025 3:58 am
Segmentation tends to be uniform The advantage of RFM analysis is that it allows you to segment customers based on three evaluation axes, but the disadvantage is that the segmentation tends to be uniform due to the simplicity of the indicators. In RFM analysis, the detailed attributes of each customer are not taken into deep consideration, so a wide variety of customers tend to be mixed together. If you want to perform more detailed segmentation, you will need to combine RFM analysis with other analysis methods.
It is important to remember that customer analysis egypt telegram database is not necessarily complete with RFM analysis. Customer purchasing characteristics cannot be analyzed RFM analysis is based on the current situation of the customer. Therefore, it is difficult to grasp how the customer's situation will change over a long period of time. However, even if some customers are not currently included in the segment of good customers, there is a good chance that they will become good customers in the future.
To determine whether a customer has the potential to become a loyal customer in the future, you need to analyze their purchasing characteristics. For example, you may need to analyze customers using the following methods: <Examples of customer analysis methods> CTB analysis is an analysis that predicts a customer's purchasing intention based on three indicators: "Category," "Taste," and "Brand." It can predict with high accuracy what kind of product a customer will purchase. Multiple regression analysis Multiple regression analysis is an analysis that determines the future movement of a certain result (objective variable) based on multiple factors (explanatory variables) related to it.
It is important to remember that customer analysis egypt telegram database is not necessarily complete with RFM analysis. Customer purchasing characteristics cannot be analyzed RFM analysis is based on the current situation of the customer. Therefore, it is difficult to grasp how the customer's situation will change over a long period of time. However, even if some customers are not currently included in the segment of good customers, there is a good chance that they will become good customers in the future.
To determine whether a customer has the potential to become a loyal customer in the future, you need to analyze their purchasing characteristics. For example, you may need to analyze customers using the following methods: <Examples of customer analysis methods> CTB analysis is an analysis that predicts a customer's purchasing intention based on three indicators: "Category," "Taste," and "Brand." It can predict with high accuracy what kind of product a customer will purchase. Multiple regression analysis Multiple regression analysis is an analysis that determines the future movement of a certain result (objective variable) based on multiple factors (explanatory variables) related to it.