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Dissolution And Reconstruction: Brand Marketing Change In The Age Of Big Data

Posted on:2017-03-25Degree:MasterType:Thesis
Country:ChinaCandidate:G S WangFull Text:PDF
GTID:2359330491452195Subject:Journalism and communication
Abstract/Summary:PDF Full Text Request
With the development of digital information, the amount of data is growing strongly, human is going into the Age of Big Data. In the Age of Big Data, the system of brand marketing has experienced significant changes. The original extensive marketing concept gradually replaced by a fine marketing concept. Marketing strategy also gradually transit from product oriented to service oriented. Marketing is a field driven by data. In the process of brand marketing, it needs to analyze large amounts of data information. With the Big Data Marketing, Advertisers and marketers can understand consumer demand thoroughly, analysis consumer behavior, assess consumer value, and enhance the brand exposure and sales conversion.This paper based on the Age of Big Data as the research background, through the literature material law, case analysis, comparison method, dives deep into the revolution. The article starts with the thinking revolution of the Age of Big Data, firstly discusses the Big Data’s disintegration effect on brand marketing system, and then describes the Big Data’s reconstruction to the system. The two aspects stands in sharp coyntrast, highlight the Big Data’s revolution to brand marketing. In the end, this paper discusses the future brand marketing in the Age of Big Data, and come to the conclusion that marketers should grasp the discretion of Big Data Marketing, Keep exploring enthusiasm and be alert to excessive worship.This research is helpful for operators and researchers to understand the change trend of brand marketing in the Age of Big Data. In order to further insight into consumer demand, and assess the situation, meets requirements of the future challenge.
Keywords/Search Tags:Big Data, Brand marketing, Marketing concept, Marketing strategy, Big Data Marketing
PDF Full Text Request
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