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Competitive rankings market is growing quickly in our country. However, the strategy for different keywords is still at the early exploration stage. At present, advertisers mainly adopt extensive means on the strategy of keywords leading to the sharp rise in advertising costs. There is little precisely empirical research available for reference. Based on the Taobao train bidding market as the research object, we explore the keyword selection and launch strategy to decrease the unit price cost, and improve performance through the establishment of multidimensional data model. The significance of this paper is that we put the multidimensional data model into PPC advertising strategy, improve the related theory on competitive rankings, and provide a theoretical reference for improving the current advertisers in vulgar keywords.