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Segmentaion of C2C Customer Using RFM Model
2011Customers segmentation is the key to customer relationship management, this paper analyze RFM (recency, frequency, and monetary value) paradigm with customer, and use RFM value as clustering properties by K-means. The customers can be divided into four levels includes important keep customers, important development customers, general customers ...
Jianying Xiong, Leiyue Yao
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Customer Segmentation Using Fuzzy-AHP and RFM Model
2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2020In today’s business environment the number of customers buying products online have increased, it is difficult for the firm to determine customer lifetime value (CLV) of every customer. In this paper, customer segmentation is used to find the customer lifetime value for a UK based registered company that sells unique gifts.
Anu Gupta Aggarwal, Sweta Yadav
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Classifying the segmentation of customer value via RFM model and RS theory
Expert Systems With Applications, 2009Data mining is a powerful new technique to help companies mining the patterns and trends in their customers data, then to drive improved customer relationships, and it is one of well-known tools given to customer relationship management (CRM). However, there are some drawbacks for data mining tool, such as neural networks has long training times and ...
Ching-Hsue Cheng
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APPLICATION OF RFM MODEL ON CUSTOMER SEGMENTATION IN DIGITAL MARKETING
Nigerian Journal of Science and EnvironmentCustomers playa pivotal role in the success of any business. The ability to attract and retain the right clientele, who consistently engage with a company's products and services, hinges on a thorough understanding of their purchasing behavior. Successful businesses tailor their offerings to meet the unique requirements and preferences
Maureen Akazue +2 more
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Customer lifetime value determination based on RFM model
Marketing Intelligence & Planning, 2016Purpose– One of the salient challenges in customer-oriented organizations is to recognize, segment and rank customers. Customer segmentation is usually based on customer lifetime value (CLV) measured by three purchase variables: “Recency,” “Frequency” and “Monetary.” However, due to the ambiguity of these variables, using deterministic approach is not ...
Fariba Safari +2 more
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Fast RFM Model for Customer Segmentation
Companion Proceedings of the Web Conference 2022, 2022Shicheng Wan +4 more
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Personalized Dynamic Pricing with RFM Modeling
Proceedings of the 2021 7th International Conference on e-Society, e-Learning and e-Technologies, 2021Dimitrios Kelesakis +2 more
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Study of Customer Value and Supplier Dependence with the RFM Model
2015In this study, data mining is applied to the use of an Enterprise Resource Planning (ERP) database to explore the core value of business operations by revising the RFM model into an RFGP model through “customer value analysis”. This model is used as a tool by enterprises to make proper adjustment to business strategies in a timely manner.
Jui-Hung Kao +3 more
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A Customer Segmentation Model Proposal for Retailers: RFM-V
2021Today's businesses have large quantity of demographic, economic and behavioral data on their customers with the rapid development of computer and internet technologies. Customer segmentation analyzes are carried out on the basis of various parameters in order to identify and group consumers with different needs and wishes and to develop marketing ...
Özkan, Pınar, Deveci Kocakoç, İpek
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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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