会议专题

Study on Marketing Strategies Based on Data Mining of TV Shopping Sales Mode

Companies which have TV shopping as marketing channels have to know the characteristics of consumers purchasing behavior and make appropriate marketing strategies accordingly. With the help of MS SQL server 2005 business intelligence modules and related data from questionnaire surveys on consumers purchasing behavior, a cluster analysis has been done on it. The result of the analysis indicates that TV shopping consumers can be classified into three groups. They are potential TV shopping consumers, regular TV shopping consumers and to-be TV shopping consumers. This paper ends in three marketing strategies brought out according to the characteristics of consumers TV shopping behavior, namely, strategy of product differentiation, strategy of reducing perceptive risks and strategy of integrated marketing communication.

data mining TV shopping marketing strategy purchasing behavior cluster analysis

CHEN Deliang PENG Wei

Logistics School, Central South University of Forestry & Technology, Changsha, P.R.China, 410004

国际会议

The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

威海

英文

75-78

2010-07-24(万方平台首次上网日期,不代表论文的发表时间)