The Quest for Customer Intelligence to Support Marketing Decisions: A Knowledge-Based Framework

Nguyen Anh Khoa Dam, T. Dinh, W. Menvielle
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引用次数: 2

Abstract

The quest for customer intelligence to create value in marketing has highlighted the significance of the research focus of this paper. Customer intelligence, which is defined as understandings or insights resulting from the application of analytic techniques, plays a significant role in the survival and prosperity of enterprises in the knowledge-based economy. In this light, the paper has developed a framework of customer intelligence to support marketing decisions through the lens of knowledge-based theory. The proposed framework aims at supporting enterprises to identify the right customer data for the right customer intelligence corresponding with the right marketing decisions. In this light, four types of customer intelligence are clarified including product-aware intelligence, customer DNA intelligence, customer experience intelligence, and customer value intelligence. The applications of customer intelligence are also elucidated with relevant marketing decisions to maximize value creation. To illustrate the framework, an example is presented. The importance and originality of this study are that it responds to changes in customer intelligence in the age of massive data and covers multifaced aspects of marketing decisions.
寻求支持营销决策的客户智能:一个基于知识的框架
在市场营销中寻求顾客智能来创造价值,凸显了本文研究重点的意义。客户智能是指通过分析技术的应用而产生的理解或见解,它在知识经济中对企业的生存和繁荣起着重要的作用。鉴于此,本文开发了一个客户智能框架,通过基于知识的理论来支持营销决策。提出的框架旨在支持企业识别正确的客户数据,以获得与正确的营销决策相对应的正确的客户情报。在此基础上,明确了四种类型的客户智能,包括产品感知智能、客户DNA智能、客户体验智能和客户价值智能。客户智能的应用也阐明了相关的营销决策,以最大限度地创造价值。为了说明该框架,给出了一个示例。本研究的重要性和独创性在于,它响应了大数据时代客户智能的变化,涵盖了营销决策的多个方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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