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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主要作者: Yoseph, Fahed
格式: Thesis
語言:英语
出版: 2017
主題:
在線閱讀:http://eprints.usm.my/45378/
Abstract Abstract here
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author Yoseph, Fahed
author_facet Yoseph, Fahed
author_sort Yoseph, Fahed
description 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.
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spelling usm-453782019-09-11T01:27:46Z http://eprints.usm.my/45378/ Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model 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 NonPeerReviewed application/pdf en http://eprints.usm.my/45378/1/FAHED%20YOSEPH.pdf Yoseph, Fahed (2017) Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model. Masters thesis, Universiti Sains Malaysia.
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Yoseph, Fahed
Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model
thesis_level Master
title 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_short Market Segmentation Using Enhanced RFM (Regency, Frequency, Monetary) Model
title_sort market segmentation using enhanced rfm regency frequency monetary model
topic QA75.5-76.95 Electronic computers. Computer science
url http://eprints.usm.my/45378/
work_keys_str_mv AT yosephfahed marketsegmentationusingenhancedrfmregencyfrequencymonetarymodel