IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v33y2014i4p586-608.html
   My bibliography  Save this article

Competitive Poaching in Sponsored Search Advertising and Its Strategic Impact on Traditional Advertising

Author

Listed:
  • Amin Sayedi

    (Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599)

  • Kinshuk Jerath

    (Columbia Business School, Columbia University, New York, New York 10027)

  • Kannan Srinivasan

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

Traditional advertising, such as TV and print advertising, primarily builds awareness of a firm's product among consumers, whereas sponsored search advertising on a search engine can target consumers closer to making a purchase because they reveal their interest by searching for a relevant keyword. Increased consumer targetability in sponsored search advertising induces a firm to “poach” a competing firm's consumers by directly advertising on the competing firm's keywords; in other words, the poaching firm tries to obtain more than its “fair share” of sales through sponsored search advertising by free riding on the market created by the firm being poached. Using a game theory model with firms of different advertising budgets, we study the phenomenon of poaching, its impact on how firms allocate their advertising budgets to traditional and sponsored search advertising, and the search engine's policy on poaching. We find that, as budget asymmetry increases, the smaller-budget firm poaches more on the keywords of the larger-budget firm. This may induce the larger-budget firm to allocate more of its budget to traditional advertising, which, in turn, hurts the search engine's advertising revenues. Therefore, paradoxically, even though poaching increases competition in sponsored search advertising, the search engine can benefit from limiting the extent of poaching. This explains why major search engines use “ad relevance” measures to handicap poaching on trademarked keywords.

Suggested Citation

  • Amin Sayedi & Kinshuk Jerath & Kannan Srinivasan, 2014. "Competitive Poaching in Sponsored Search Advertising and Its Strategic Impact on Traditional Advertising," Marketing Science, INFORMS, vol. 33(4), pages 586-608, July.
  • Handle: RePEc:inm:ormksc:v:33:y:2014:i:4:p:586-608
    DOI: 10.1287/mksc.2013.0838
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.2013.0838
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2013.0838?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dennis W. Carlton & Judith A. Chevalier, 2001. "Free Riding and Sales Strategies for the Internet," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 441-461, December.
    2. Susan Athey & Glenn Ellison, 2011. "Position Auctions with Consumer Search," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(3), pages 1213-1270.
    3. Lesley Chiou & Catherine Tucker, 2012. "How Does the Use of Trademarks by Third-Party Sellers Affect Online Search?," Marketing Science, INFORMS, vol. 31(5), pages 819-837, September.
    4. Dennis W. Carlton & Judith A. Chevalier, 2001. "Free Riding and Sales Strategies for the Internet," NBER Chapters, in: E-commerce, pages 441-461, National Bureau of Economic Research, Inc.
    5. Preyas S. Desai & Woochoel Shin & Richard Staelin, 2014. "The Company That You Keep: When to Buy a Competitor's Keyword," Marketing Science, INFORMS, vol. 33(4), pages 485-508, July.
    6. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    7. Mingyu Joo & Kenneth C. Wilbur & Bo Cowgill & Yi Zhu, 2014. "Television Advertising and Online Search," Management Science, INFORMS, vol. 60(1), pages 56-73, January.
    8. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    9. Jiwoong Shin, 2007. "How Does Free Riding on Customer Service Affect Competition?," Marketing Science, INFORMS, vol. 26(4), pages 488-503, 07-08.
    10. Kinshuk Jerath & Liye Ma & Young-Hoon Park & Kannan Srinivasan, 2011. "A "Position Paradox" in Sponsored Search Auctions," Marketing Science, INFORMS, vol. 30(4), pages 612-627, July.
    11. Song Yao & Carl F. Mela, 2011. "A Dynamic Model of Sponsored Search Advertising," Marketing Science, INFORMS, vol. 30(3), pages 447-468, 05-06.
    12. Zsolt Katona & Miklos Sarvary, 2010. "The Race for Sponsored Links: Bidding Patterns for Search Advertising," Marketing Science, INFORMS, vol. 29(2), pages 199-215, 03-04.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shijie Lu & Yi Zhu & Anthony Dukes, 2015. "Position Auctions with Budget Constraints: Implications for Advertisers and Publishers," Marketing Science, INFORMS, vol. 34(6), pages 897-905, November.
    2. Preyas S. Desai & Woochoel Shin & Richard Staelin, 2014. "The Company That You Keep: When to Buy a Competitor's Keyword," Marketing Science, INFORMS, vol. 33(4), pages 485-508, July.
    3. 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.
    4. Woochoel Shin, 2015. "Keyword Search Advertising and Limited Budgets," Marketing Science, INFORMS, vol. 34(6), pages 882-896, November.
    5. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    6. Michael Arnold & Éric Darmon & Thierry Pénard, 2012. "To Sponsor or Not to Sponsor: Sponsored Search Auctions with Organic Links," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201207, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    7. Shengqi Ye & Goker Aydin & Shanshan Hu, 2015. "Sponsored Search Marketing: Dynamic Pricing and Advertising for an Online Retailer," Management Science, INFORMS, vol. 61(6), pages 1255-1274, June.
    8. Kinshuk Jerath & Liye Ma & Young-Hoon Park & Kannan Srinivasan, 2011. "A "Position Paradox" in Sponsored Search Auctions," Marketing Science, INFORMS, vol. 30(4), pages 612-627, July.
    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. 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.
    11. 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.
    12. Andrey Simonov & Shawndra Hill, 2021. "Competitive Advertising on Brand Search: Traffic Stealing and Click Quality," Marketing Science, INFORMS, vol. 40(5), pages 923-945, September.
    13. 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.
    14. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    15. Fei Long & Kinshuk Jerath & Miklos Sarvary, 2022. "Designing an Online Retail Marketplace: Leveraging Information from Sponsored Advertising," Marketing Science, INFORMS, vol. 41(1), pages 115-138, January.
    16. Raluca M. Ursu, 2018. "The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions," Marketing Science, INFORMS, vol. 37(4), pages 530-552, August.
    17. W. Jason Choi & Amin Sayedi, 2019. "Learning in Online Advertising," Marketing Science, INFORMS, vol. 38(4), pages 584-608, July.
    18. 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.
    19. Gauzente, Claire & Roy, Yves, 2012. "Message content in keyword campaigns, click behavior, and price-consciousness: A study of millennial consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 78-87.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:33:y:2014:i:4:p:586-608. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.