Customer data mining for lifestyle segmentation

• Tipo: Artigo em Revista Científica Internacional
• Data: 2012

Autores

Vera L. Miguéis (Autor) FEUP; A. S. Camanho (Autor) FEUP; João Falcão e Cunha (Autor) FEUP

Revista

Título: Expert Systems with Applications

Vol. 39 Nº 3

Páginas: 9359-9366

ISSN: 0957-4174

Editora: Elsevier

Indexação

ISI Web of Knowledge - 29 Citações

ISI Web of Science

Scopus - 51 Citações

INSPEC

COMPENDEX

Classificação Científica

FOS: Ciências sociais > Economia e gestão

Outras Informações

ID Authenticus: P-002-7TE

DOI: 10.1016/j.eswa.2012.02.133

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8