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Author(s): Vera L. Miguéis
A. S. Camanho
João Falcão e Cunha
Title: Customer data mining for lifestyle segmentation
Issue Date: 2012
Abstract: A good relationship between companies and customers is a crucial factor of competitiveness. Market segmentation is a key issue for companies to develop and maintain loyal relationships with customers as well as to promote the increase of company sales. This paper proposes a method for market segmentation in retailing based on customers' lifestyle, supported by information extracted from a large transactional database. A set of typical shopping baskets are mined from the database, using a variable clustering algorithm, and these are used to infer customers lifestyle. Customers are assigned to a lifestyle segment based on their purchases history. This study is done in collaboration with an European retailing company.
Subject: Economia e gestão
Economics and Business
Scientific areas: Ciências sociais::Economia e gestão
Social sciences::Economics and Business
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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