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The impact of ad positioning in search engine advertising: a multifaceted decision problem

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  • Carsten D. Schultz

    (University of Hagen)

Abstract

A general desire in search engine advertising is to rank at the topmost position for maximum attention. Based on a search engine advertising campaign, this study provides empirical evidence that this approach does not necessarily maximize sales. The analysis reveals relationships that result in a non-linear rank profitability. As a consequence, advertisers face the multifaceted decision problem of identifying the optimal rank for their search engine advertisements. The outcome of the advertising activity is determined by three dimensions: the number of prospects (quantity), their acquisition costs (price), and their quality, i.e. is the likelihood to result in sales revenue. The results also differ if evaluated on campaign or keyword level. Consequently, research and practice have to consider the effect of a non-monotone rank profitability in search engine advertising, which has been neglected in previous studies. Furthermore, the differences on campaign and keyword level affect the evaluation and corresponding decisions when managing search engine advertising.

Suggested Citation

  • Carsten D. Schultz, 2020. "The impact of ad positioning in search engine advertising: a multifaceted decision problem," Electronic Commerce Research, Springer, vol. 20(4), pages 945-968, December.
  • Handle: RePEc:spr:elcore:v:20:y:2020:i:4:d:10.1007_s10660-018-9313-z
    DOI: 10.1007/s10660-018-9313-z
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    1. Eric J. Johnson & Wendy W. Moe & Peter S. Fader & Steven Bellman & Gerald L. Lohse, 2004. "On the Depth and Dynamics of Online Search Behavior," Management Science, INFORMS, vol. 50(3), pages 299-308, March.
    2. De Liu & Jianqing Chen & Andrew B. Whinston, 2010. "Ex Ante Information and the Design of Keyword Auctions," Information Systems Research, INFORMS, vol. 21(1), pages 133-153, March.
    3. Juan Feng, 2008. "—Optimal Mechanism for Selling a Set of Commonly Ranked Objects," Marketing Science, INFORMS, vol. 27(3), pages 501-512, 05-06.
    4. Benjamin Edelman & Michael Ostrovsky & Michael Schwarz, 2007. "Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords," American Economic Review, American Economic Association, vol. 97(1), pages 242-259, March.
    5. Joo, Mingyu & Wilbur, Kenneth C. & Zhu, Yi, 2016. "Effects of TV advertising on keyword search," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 508-523.
    6. Mark Glick & Greg Richards & Margarita Sapozhnikov & Paul Seabright, 2014. "How Does Ranking Affect User Choice in Online Search?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 45(2), pages 99-119, September.
    7. Thorsten Wiesel & Koen Pauwels & Joep Arts, 2011. "Practice Prize Paper --Marketing's Profit Impact: Quantifying Online and Off-line Funnel Progression," Marketing Science, INFORMS, vol. 30(4), pages 604-611, July.
    8. Bernard J. Jansen & Zhe Liu & Zach Simon, 2013. "The effect of ad rank on the performance of keyword advertising campaigns," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(10), pages 2115-2132, October.
    9. Klapdor, Sebastian & Anderl, Eva M. & von Wangenheim, Florian & Schumann, Jan H., 2014. "Finding the Right Words: The Influence of Keyword Characteristics on Performance of Paid Search Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 285-301.
    10. Park, Chang Hee & Agarwal, Manoj K., 2018. "The order effect of advertisers on consumer search behavior in sponsored search markets," Journal of Business Research, Elsevier, vol. 84(C), pages 24-33.
    11. Przemys?aw Jeziorski & Sridhar Moorthy, 2018. "Advertiser Prominence Effects in Search Advertising," Management Science, INFORMS, vol. 64(3), pages 1365-1383, March.
    12. Bernard J. Jansen & Zhe Liu & Zach Simon, 2013. "The effect of ad rank on the performance of keyword advertising campaigns," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(10), pages 2115-2132, October.
    13. Bernd Skiera & Nadia Abou Nabout, 2013. "Practice Prize Paper ---PROSAD: A Bidding Decision Support System for Profit Optimizing Search Engine Advertising," Marketing Science, INFORMS, vol. 32(2), pages 213-220, March.
    14. Wilfred Amaldoss & Kinshuk Jerath & Amin Sayedi, 2016. "Keyword Management Costs and “Broad Match” in Sponsored Search Advertising," Marketing Science, INFORMS, vol. 35(2), pages 259-274, March.
    15. Tat Y. Chan & Young-Hoon Park, 2015. "Consumer Search Activities and the Value of Ad Positions in Sponsored Search Advertising," Marketing Science, INFORMS, vol. 34(4), pages 606-623, July.
    16. Song Yao & Carl F. Mela, 2011. "A Dynamic Model of Sponsored Search Advertising," Marketing Science, INFORMS, vol. 30(3), pages 447-468, 05-06.
    17. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    18. Juan Feng & Hemant K. Bhargava & David M. Pennock, 2007. "Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative Mechanisms," INFORMS Journal on Computing, INFORMS, vol. 19(1), pages 137-148, February.
    19. Jean-Noël Kapferer & Gilles Laurent, 1985. "Measuring consumer involvement profiles," Post-Print hal-00786781, HAL.
    20. Shijie Lu & Sha Yang, 2017. "Investigating the Spillover Effect of Keyword Market Entry in Sponsored Search Advertising," Marketing Science, INFORMS, vol. 36(6), pages 976-998, November.
    21. Deepa Chandrasekaran & Raji Srinivasan & Debika Sihi, 2018. "Effects of offline ad content on online brand search: insights from super bowl advertising," Journal of the Academy of Marketing Science, Springer, vol. 46(3), pages 403-430, May.
    22. Xiaomeng Du & Meng Su & Xiaoquan (Michael) Zhang & Xiaona Zheng, 2017. "Bidding for Multiple Keywords in Sponsored Search Advertising: Keyword Categories and Match Types," Information Systems Research, INFORMS, vol. 28(4), pages 711-722, December.
    23. Ashish Agarwal & Tridas Mukhopadhyay, 2016. "The Impact of Competing Ads on Click Performance in Sponsored Search," Information Systems Research, INFORMS, vol. 27(3), pages 538-557.
    24. Ashish Agarwal & Kartik Hosanagar & Michael D. Smith, 2015. "Do Organic Results Help or Hurt Sponsored Search Performance?," Information Systems Research, INFORMS, vol. 26(4), pages 695-713, December.
    25. Anindya Ghose & Sha Yang, 2009. "An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets," Management Science, INFORMS, vol. 55(10), pages 1605-1622, October.
    26. Animesh Animesh & Siva Viswanathan & Ritu Agarwal, 2011. "Competing “Creatively” in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance," Information Systems Research, INFORMS, vol. 22(1), pages 153-169, March.
    27. Sha Yang & Anindya Ghose, 2010. "Analyzing the Relationship Between Organic and Sponsored Search Advertising: Positive, Negative, or Zero Interdependence?," Marketing Science, INFORMS, vol. 29(4), pages 602-623, 07-08.
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    Cited by:

    1. Jin Zhang & Jilong Zhang & Guoqing Chen, 2023. "A semantic transfer approach to keyword suggestion for search engine advertising," Electronic Commerce Research, Springer, vol. 23(2), pages 921-947, June.

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