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APPLICATION OF RFM MODEL ON CUSTOMER SEGMENTATION IN DIGITAL MARKETING

Nigerian Journal of Science and Environment
Customers 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
openaire   +1 more source

Customer lifetime value determination based on RFM model

Marketing Intelligence & Planning, 2016
Purpose– 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
openaire   +1 more source

Fast RFM Model for Customer Segmentation

Companion Proceedings of the Web Conference 2022, 2022
Shicheng Wan   +4 more
openaire   +1 more source

Personalized Dynamic Pricing with RFM Modeling

Proceedings of the 2021 7th International Conference on e-Society, e-Learning and e-Technologies, 2021
Dimitrios Kelesakis   +2 more
openaire   +2 more sources

Study of Customer Value and Supplier Dependence with the RFM Model

2015
In 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
openaire   +1 more source

A Customer Segmentation Model Proposal for Retailers: RFM-V

2021
Today'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
openaire   +1 more source

Client Classification of Agricultural Products E-Commerce by RFM Model

2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC), 2018
It is the key link to maintain the relative competitive advantage to accurately classify the clients and take precise marketing strategy in the increasing competitive commercial market of Chinese agricultural products. The RFM model was introduced in this paper to construct the classification index of e-commerce clients of agricultural products and the
Jiaying Chen, Jinjing LI, Shaojiang Lin
openaire   +1 more source

A New RFM Model Approach: RFMS

2023
Semra Erpolat Taşabat   +3 more
openaire   +1 more source

Dynamic Models for RFM Variables: A Forward Looking Approach

2015
On 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.
openaire   +1 more source

Customer Behavior Analytics in A Supermarket in Taiwan Based on RFM Model

International Journal of Industrial and Systems Engineering, 2023
Mei Wei Huang   +4 more
openaire   +1 more source

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