Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model
The importance of targeted marketing strategy, a principle method for transforming retailers from being product-oriented to customer centric, has attracted interest from both industry and academia. It is well known fact that consumers differ in various ways, and have contrasting buying preferences....
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my-usm-ep.453782019-09-11T01:27:46Z Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model 2017-02 Yoseph, Fahed QA75.5-76.95 Electronic computers. Computer science The importance of targeted marketing strategy, a principle method for transforming retailers from being product-oriented to customer centric, has attracted interest from both industry and academia. It is well known fact that consumers differ in various ways, and have contrasting buying preferences. A widely used approach for gaining insight into the heterogeneity of customer buying behavior and profitability is market segmentation. It refers to the division of a mass market into smaller homogeneous markets based on purchase similarity and the diversity of customers. 2017-02 Thesis http://eprints.usm.my/45378/ http://eprints.usm.my/45378/1/FAHED%20YOSEPH.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Komputer |
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Universiti Sains Malaysia |
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USM Institutional Repository |
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English |
topic |
QA75.5-76.95 Electronic computers Computer science |
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QA75.5-76.95 Electronic computers Computer science Yoseph, Fahed Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model |
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The importance of targeted marketing strategy, a principle method for transforming retailers from being product-oriented to customer centric, has attracted interest from both industry and academia. It is well known fact that consumers differ in various ways, and have contrasting buying preferences. A widely used approach for gaining insight into the heterogeneity of customer buying behavior and profitability is market segmentation. It refers to the division of a mass market into smaller homogeneous markets based on purchase similarity and the diversity of customers. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Yoseph, Fahed |
author_facet |
Yoseph, Fahed |
author_sort |
Yoseph, Fahed |
title |
Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model |
title_short |
Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model |
title_full |
Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model |
title_fullStr |
Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model |
title_full_unstemmed |
Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model |
title_sort |
market segmentation using enhanced rfm (regency, frequency, monetary) model |
granting_institution |
Universiti Sains Malaysia |
granting_department |
Pusat Pengajian Sains Komputer |
publishDate |
2017 |
url |
http://eprints.usm.my/45378/1/FAHED%20YOSEPH.pdf |
_version_ |
1747821497949356032 |