Converting strangers to clients using web mining techniques

Meryem Boufim, Hafid Barka
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引用次数: 1

Abstract

Due to the exponential growth of internet using, the habits of internet users have changed. This generate huge amount of data. It becomes important to explore this mine of knowledge and take advance on concurrent. In context of digital marketing, the user's data is the enterprise assets to personalize the content of websites and establish contact and communication with customers through internet channels. The more the enterprise has data and knows about its non-real customers the more it has the advantage to take advance and be leader. In this context inbound marking was recently born: to help marketers establishing customer-centric digital marketing strategy. On the other hand, Web mining is used to discover information through web data and construct knowledge about online customers. The web mining techniques seems to fit the best with the inbound marketing implementation. After an introduction to inbound marketing and web mining methods, this paper presents the application of web mining methods and techniques to implement an inbound marketing strategy.
使用网络挖掘技术将陌生人转化为客户
由于互联网使用的指数增长,互联网用户的习惯已经发生了变化。这会产生大量的数据。挖掘这一知识宝库,推进并行研究就显得尤为重要。在数字营销背景下,用户数据是企业的资产,用于个性化网站内容,通过互联网渠道与客户建立联系和沟通。企业掌握的数据越多,对非真实客户的了解越多,就越有优势抢占先机,成为领导者。在这种背景下,入站营销最近诞生了:帮助营销人员建立以客户为中心的数字营销策略。另一方面,Web挖掘是通过Web数据发现信息,构建关于在线客户的知识。网络挖掘技术似乎最适合入站营销的实施。在介绍了入站营销和网络挖掘方法之后,本文介绍了网络挖掘方法和技术在实施入站营销策略中的应用。
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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