There has been some research abroad on consumer behavior applied in the field of consumer segmentation, like RFM model, Customer Value Matrix (CVM) model, etc.
国外已有一些关于消费者行为应用于客户细分方面的研究,如RFM细分模型、客户价值矩阵模型等。
This thesis applies data mining techniques to customer segmentation based on customer value matrix and builds the classification model of customer with different value.
本文把数据挖掘技术应用于基于客户价值矩阵的客户价值细分中,建立各类价值客户的分类模型。
In the end, the customer value-behavior matrix based on the customer value and customer behavior is proposed, through which the strategy of enhancing customer value promotion can be made.
最后,提出了基于客户价值和客户行为的客户“价值—行为”矩阵,并依此制定客户价值提升营销策略。
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