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An approach to optimised customer segmentation and profiling using RFM, LTV, and demographic features

Namvar, Morteza, Khakabimamaghani, Sahand and Gholamian, Mohammad Reza 2011, An approach to optimised customer segmentation and profiling using RFM, LTV, and demographic features, International Journal of Electronic Customer Relationship Management, vol. 5, no. 3/4, pp. 220-235, doi: 10.1504/IJECRM.2011.044688.

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Title An approach to optimised customer segmentation and profiling using RFM, LTV, and demographic features
Author(s) Namvar, Morteza
Khakabimamaghani, Sahand
Gholamian, Mohammad Reza
Journal name International Journal of Electronic Customer Relationship Management
Volume number 5
Issue number 3/4
Start page 220
End page 235
Total pages 16
Publisher Inderscience Publishers
Place of publication Olney, Eng.
Publication date 2011
ISSN 1750-0664
Keyword(s) Customer relationship management
Segmentation
Data mining
Clustering
Profiling
CRM
Optimisation
Customer segmentation
Customer profiling
Demographics
Food chain stores
Recency
Frequency
Monetary value
Lifetime value
Language eng
DOI 10.1504/IJECRM.2011.044688
Field of Research 1503 Business And Management
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2011, Inderscience Enterprises
Persistent URL http://hdl.handle.net/10536/DRO/DU:30097676

Document type: Journal Article
Collection: Department of Information Systems and Business Analytics
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