Customer data mining for lifestyle segmentation
نویسندگان
چکیده
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. 2012 Elsevier Ltd. All rights reserved.
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ورودعنوان ژورنال:
- Expert Syst. Appl.
دوره 39 شماره
صفحات -
تاریخ انتشار 2012