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How to develop new approaches to RFM segmentation
2 references·12 citing·46 second hop
How to develop new approaches to RFM segmentation (2004)How to develop new approaches to RFM segm…Direct marketing for multichannel retailers: Issues, challenges and solutions (2002)Direct marketing for multicha…A practical yet meaningful approach to customer segmentation (1998)A practical yet meaningful ap…Using Supervised Machine Learning Methods for RFM Segmentation: A Casino Direct Marketing Communication Case (2023)Using Supervised Machine Lear…Cluster-based demand forecasting using Bayesian model averaging: An ensemble learning approach (2022)Cluster-based demand forecast…Too few, too many, just right: Creating the necessary number of segments for large online customer populations (2021)Too few, too many, just right…The role of shopping mission in retail customer segmentation (2020)The role of shopping mission …Bank CRM Optimization Using Predictive Classification Based on the Support Vector Machine Method (2020)Bank CRM Optimization Using P…Clustering Prediction Techniques in Defining and Predicting Customers Defection: The Case of E-Commerce Context (2018)Clustering Prediction Techniq…Predicting customers' future demand using data mining analysis: A case study of wireless communication customer (2013)Predicting customers' future …Global Benchmarking of Marketing Doctoral Program Faculty and Institutions by Subarea (2013)Global Benchmarking of Market…A case study of applying LRFM model and clustering techniques to evaluate customer values (2011)A case study of applying LRFM…Using K-means method and spectral clustering technique in an outfitter’s value analysis (2009)Using K-means method and spec…Applying RFM Model and K-Means Method in Customer Value Analysis of an Outfitter (2009)Applying RFM Model and K-Mean…Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression (2007)Segmentation approaches in da…Multiple attribute decision making : an introduction (1995)Multiple Attribute Decision Making (1995)The mismanagement of customer loyalty. 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this work references cited by second hop

References

  • 1998A practical yet meaningful approach to customer segmentation167 cited
  • 2002Direct marketing for multichannel retailers: Issues, challenges and solutions43 cited

Cited by

  • 2007Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression320 cited
  • 2022Cluster-based demand forecasting using Bayesian model averaging: An ensemble learning approach49 cited
  • 2009Using K-means method and spectral clustering technique in an outfitter’s value analysis31 cited
  • 2020Bank CRM Optimization Using Predictive Classification Based on the Support Vector Machine Method26 cited
  • 2018Clustering Prediction Techniques in Defining and Predicting Customers Defection: The Case of E-Commerce Context20 cited
  • 2009Applying RFM Model and K-Means Method in Customer Value Analysis of an Outfitter18 cited
  • 2020The role of shopping mission in retail customer segmentation18 cited
  • 2011A case study of applying LRFM model and clustering techniques to evaluate customer values13 cited
  • 2013Global Benchmarking of Marketing Doctoral Program Faculty and Institutions by Subarea12 cited
  • 2013Predicting customers' future demand using data mining analysis: A case study of wireless communication customer7 cited
  • 2021Too few, too many, just right: Creating the necessary number of segments for large online customer populations7 cited

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  • 2023Using Supervised Machine Learning Methods for RFM Segmentation: A Casino Direct Marketing Communication Case6 cited