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ArticleGroup RFM analysis as a novel framework to discover better customer consumption behavior

Hui-Chu Chang2011

Article2011

Group RFM analysis as a novel framework to discover better customer consumption behavior

Hui-Chu Chang · Hsiao‐Ping Tsai

72 citations·0/0 files stored·Expert Systems with Applications

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Customer churn and segmentation Consumer Market Behavior and Pricing Data Mining and Machine Learning Applications

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References

1988Learning and Teaching Styles in Engineering Education.2008Classifying the segmentation of customer value via RFM model and RS theory 1994Strategic database marketing 2008Knowledge discovery on RFM model using Bernoulli sequence 2004A purchase-based market segmentation methodology 2000Thoughts on RFM scoring 2005Research on customer segmentation model by clustering

Cited by

2021Customer segmentation by web content mining 2015New approach to customer segmentation based on changes in customer value 2017A Study on the Effects of Sales Promotion on Consumer Involvement and Purchase Intention in Tourism Industry 2018Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques: A Case Study 2014Exploring the relationship between intentional and behavioral loyalty in the context of e-tailing 2017How many, how often, and how new? A multivariate profiling of mobile app users

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Year2011

Typearticle

Published2011-06-15

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations72

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1016/j.eswa.2011.05.034

openalex_workW1999992001

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2020

A Combined Approach for Customer Profiling in Video on Demand Services Using Clustering and Association Rule Mining

2023Enhancing Retail Transactions: A Data-Driven Recommendation Using Modified RFM Analysis and Association Rules Mining