An Empirical Analysis on Comparing Market Share with Concerns on Companies Measured Through Search Engine Suggests

  • Takehito Utsuro
  • Chen Zhao
  • Linghan Xu
  • Jiaqi Li
  • Yasuhide Kawada
Original Article

Abstract

In this study, we present a method of predicting market share values using search engine data. Given a product-specific domain, we compare the rates of Web searches for different companies supplying similar products and consider them as concerns of those who search for Web pages. In the proposed method, concerns of those who search for Web pages are measured through search engine suggests. We then analyze whether rates of concerns of those who search for Web pages are correlated with the actual market shares. Next, we examine the page view statistics at the kakaku.com site as intermediate statistics and determine their correlation with the rates of concerns of those who search for Web pages and the market shares. The results of the analysis indicate significant correlation. Furthermore, we conduct an empirical study on determining the optimal correlation between the rates of concerns of those who search for Web pages and the market shares, as well as that between the rates of concerns of those who search for Web pages and the page view statistics at the kakaku.com site.

Keywords

Aggregation Market share Products genre Search engine suggest Topic model 

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Copyright information

© Global Institute of Flexible Systems Management 2016

Authors and Affiliations

  1. 1.Faculty of Engineering, Information and SystemsUniversity of TsukubaTsukubaJapan
  2. 2.Graduate School of Systems and Information EngineeringUniversity of TsukubaTsukubaJapan
  3. 3.Logworks Co., Ltd.TokyoJapan

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