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Dynamic Models for RFM Variables: A Forward Looking Approach
2015On the database marketing literature, it is common practice to summarize customers’ past behavior in terms of their Recency, Frequency and Monetary Value (RFM) characteristics. Recency is the time of most recent purchase, Frequency is the number of past purchases and Monetary Value is the average purchased amount per transaction.
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Customer Behavior Analytics in A Supermarket in Taiwan Based on RFM Model
International Journal of Industrial and Systems Engineering, 2023Mei Wei Huang +4 more
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Rfm Model Customer Segmentation Based on Hierarchical Approach Using Fca
Expert Systems with Applications, 2023Chongkolnee Rungruang +4 more
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Customer Segmentation with RFM Analysis using ML Models
2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), 2023Manpreet Kaur +4 more
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Research on VIP customer classification rule base on RFM model
MSIE 2011, 2011With the development of society and increasingly fierce competition in the retail industry, seeking and maintaining VIP customers are the focus of competition between supermarkets. The purpose of this study is to dig out the most important VIP customers from all customers, using data mining based on rough set technology.
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Online Learning Student Engagement: RFM Model Perspective
2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU), 2023Yanti Mustapha +5 more
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Applied Marketing Analytics: The Peer-Reviewed Journal
Customer segmentation is important for marketing and campaign management, and the RFM (recency, frequency and monetary) model is widely used for this purpose. However, existing algorithms typically segment customers based on overall similarity in R, F and M scores, which may not provide the most meaningful insights for retailers.
A. Joy Christy +2 more
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Customer segmentation is important for marketing and campaign management, and the RFM (recency, frequency and monetary) model is widely used for this purpose. However, existing algorithms typically segment customers based on overall similarity in R, F and M scores, which may not provide the most meaningful insights for retailers.
A. Joy Christy +2 more
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Spaceborne SAR image geocoding with RFM model
National Remote Sensing Bulletin, 2012null 魏晓红 +3 more
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