使用数据挖掘技术进行高效和具有成本效益的目标营销

Ling Liu, Zijiang Yang, Y. Benslimane
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引用次数: 4

摘要

由于经济不景气,许多公司正在失去现有的客户,获得新客户是一个很大的挑战。所有的公司继续追求每一个可用的机会,以提高他们的竞争力。因此,目标营销已成为他们管理实践的一部分。目标营销不仅是与现有客户保持良好关系的有效途径,也是寻找潜在客户的非常重要的方法。它可以利用当前的客户关系管理(CRM)数据识别公司最赚钱的客户的共同属性。可以使用这些常见属性来识别潜在客户。本文将数据挖掘技术应用于目标营销过程的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conducting Efficient and Cost-Effective Targeted Marketing Using Data Mining Techniques
Due to the downward economy, many companies are losing their existing customers and it is a big challenge to obtain new customers. All the companies continue to pursue every available opportunity to enhance their competitiveness. Consequently, targeted marketing has become part of their management practice. Targeted marketing is not only an efficient way to maintain good relationship with existing customers, but also a very important method to find potential customers. It can identify the common attributes of companies' most profitable customers using the current customer relationship management (CRM) data. Potential customers can be identified using these common attributes. In this paper, data mining techniques are applied to improve the targeted marketing process.
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