• DocumentCode
    265186
  • Title

    Understanding Competition Using Big Consumer Search Data

  • Author

    Ringel, Daniel M. ; Skiera, Bernd

  • Author_Institution
    Goethe Univ. Frankfurt, Frankfurt am Main, Germany
  • fYear
    2014
  • fDate
    6-9 Jan. 2014
  • Firstpage
    3129
  • Lastpage
    3138
  • Abstract
    Understanding competition is essential for every firm. Unfortunately, information on who competes with whom is scarce. Traditional research approaches such as surveys and panels are time consuming, expensive, and usually not well applicable to markets with large numbers of consumer durables. Consumer search data from a price comparison site, however, allows for observing consumers search and compare products, revealing which products they consider to be "competing" alternatives. We propose and critically compare three methods that use these data to identify, analyze and visualize competitive relationships between products. Finally, our empirical study of 147,336 consumers searching in the consumer electronics product category provides insight into consideration set size and composition, and shows that the average consideration set size of a consumer is 4.38 and the average consideration set of a product is 7.49.
  • Keywords
    Internet; consumer behaviour; consumer electronics; pricing; retail data processing; big consumer search data; competitive relationships; consumer electronics product category; price comparison site; Consumer electronics; Data visualization; Educational institutions; Joints; Measurement; Pricing; Smart phones; Big Data; Competitive Analysis; Consideration Sets; Price Comparison Sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2014 47th Hawaii International Conference on
  • Conference_Location
    Waikoloa, HI
  • Type

    conf

  • DOI
    10.1109/HICSS.2014.388
  • Filename
    6758990