E-market segmentation for internet-mediated fashion brands: A conceptual framework with mean-variance consideration

Tsan Ming Choi, Pui Sze Chow, Jin Hui Zheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review


E-market segmentation takes a crucial role in marketing for fashion brands. Its applications for collaborative functions such as estimating the advertisement budget, retaining customers, carrying out direct tailored marketing, and implementing dynamic pricing are essentially important and critical for their e-business. Unlike the bricks-and-mortar traditional store retailers, fashion brands which operate online can keep track of the details of the online customers easily and precisely. How to make use of these customers details in segmenting the e-market for each particular function becomes an important issue. As a result, we propose and discuss in this paper a conceptual model for carrying out e-market segmentation and we focus on the areas of dynamic pricing and advertisement budget estimation. Through extensive discussions with mean-variance consideration, we believe that the model can be incorporated into other existing market segmentation analyses. Managerial implications are discussed.
Original languageEnglish
Pages (from-to)167-181
Number of pages15
JournalAdvances in Systems Science and Applications
Issue number2
Publication statusPublished - 1 Jan 2013


  • E-market segmentation
  • Fashion branding
  • Internet marketing
  • Mean-variance

ASJC Scopus subject areas

  • Engineering(all)
  • General

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