IDEAS home Printed from https://ideas.repec.org/p/net/wpaper/0723.html
   My bibliography  Save this paper

Search Engine Advertising: Pricing Ads to Context

Author

Abstract

Each search term put into a search engine produces a separate set of results. Correspondingly, each of the sets of ads displayed alongside these results is priced using a separate auction. Search engine advertising prices therefore reflect willingness to pay for context, unlike traditional ad prices that reflect willingness to pay for audience demographics. A growing policy debate asks if this marketing strategy merely makes advertising more informative, or whether it also effectively extracts rent from advertisers. To inform this debate and to better understand search engine advertising more generally, we examine advertising prices paid by lawyers for 174 Google search terms in 195 locations and exploit a natural experiment in “ambulance-chaser” regulations across states. Where contingency fee limits exist, the relative price of advertising is $2.27 lower. This suggests that context-based pricing allows prices to reflect heterogeneity in the profitability of customer leads. When lawyers cannot contact a client in writing, the relative price per ad click is $0.93 higher. This suggests that context-based pricing allows prices to reflect heterogeneity in advertisers’ other advertising options, even within a given local market. Thus, our results suggest that search engine advertising does give market power to the media platform; however, this market power is mitigated by substantial competition from offline marketing communications channels.

Suggested Citation

  • Avi Goldfarb & Catherine Tucker, 2007. "Search Engine Advertising: Pricing Ads to Context," Working Papers 07-23, NET Institute, revised Sep 2007.
  • Handle: RePEc:net:wpaper:0723
    as

    Download full text from publisher

    File URL: http://www.netinst.org/Goldfarb-Tucker_07-23.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuxin Chen & Jinhong Xie, 2007. "Cross-Market Network Effect with Asymmetric Customer Loyalty: Implications for Competitive Advantage," Marketing Science, INFORMS, vol. 26(1), pages 52-66, 01-02.
    2. Gene M. Grossman & Carl Shapiro, 1984. "Informative Advertising with Differentiated Products," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(1), pages 63-81.
    3. 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.
    4. Yongmin Chen & Chuan He, 2011. "Paid Placement: Advertising and Search on the Internet," Economic Journal, Royal Economic Society, vol. 121(556), pages 309-328, November.
    5. Kenneth C. Wilbur & Yi Zhu, 2009. "Click Fraud," Marketing Science, INFORMS, vol. 28(2), pages 293-308, 03-04.
    6. Wolfgang Jank & P. K. Kannan, 2005. "Understanding Geographical Markets of Online Firms Using Spatial Models of Customer Choice," Marketing Science, INFORMS, vol. 24(4), pages 623-634, December.
    7. Anderson, Simon P. & Gabszewicz, Jean J., 2006. "The Media and Advertising: A Tale of Two-Sided Markets," Handbook of the Economics of Art and Culture, in: V.A. Ginsburgh & D. Throsby (ed.), Handbook of the Economics of Art and Culture, edition 1, volume 1, chapter 18, pages 567-614, Elsevier.
    8. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    9. Meghan Busse & Jorge Silva-Risso & Florian Zettelmeyer, 2006. "$1,000 Cash Back: The Pass-Through of Auto Manufacturer Promotions," American Economic Review, American Economic Association, vol. 96(4), pages 1253-1270, September.
    10. Chris Forman & Anindya Ghose & Avi Goldfarb, 2009. "Competition Between Local and Electronic Markets: How the Benefit of Buying Online Depends on Where You Live," Management Science, INFORMS, vol. 55(1), pages 47-57, January.
    11. Patrali Chatterjee & Donna L. Hoffman & Thomas P. Novak, 2003. "Modeling the Clickstream: Implications for Web-Based Advertising Efforts," Marketing Science, INFORMS, vol. 22(4), pages 520-541, May.
    12. Anindya Ghose & Sha Yang, 2007. "An Empirical Analysis of Search Engine Advertising: Sponsored Search and Cross-Selling in Electronic Markets," Working Papers 07-35, NET Institute, revised Sep 2007.
    13. Meghan Busse & Marc Rysman, 2005. "Competition and Price Discrimination in Yellow Pages Advertising," RAND Journal of Economics, The RAND Corporation, vol. 36(2), pages 378-390, Summer.
    14. Michael R. Baye & John Morgan, 2001. "Information Gatekeepers on the Internet and the Competitiveness of Homogeneous Product Markets," American Economic Review, American Economic Association, vol. 91(3), pages 454-474, June.
    15. Esther Gal-Or & Mordechai Gal-Or, 2005. "Customized Advertising via a Common Media Distributor," Marketing Science, INFORMS, vol. 24(2), pages 241-253, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Anindya Ghose & Sha Yang, 2007. "An Empirical Analysis of Search Engine Advertising: Sponsored Search and Cross-Selling in Electronic Markets," Working Papers 07-35, NET Institute, revised Sep 2007.
    3. Kenneth C. Wilbur & Yi Zhu, 2009. "Click Fraud," Marketing Science, INFORMS, vol. 28(2), pages 293-308, 03-04.
    4. Dirk Bergemann & Alessandro Bonatti, 2010. "Targeting in Advertising Markets: Implications for Offline vs. Online Media," Cowles Foundation Discussion Papers 1758, Cowles Foundation for Research in Economics, Yale University.
    5. Song Yao & Carl F. Mela, 2008. "A Dynamic Model of Sponsored Search Advertising," Working Papers 08-16, NET Institute, revised Sep 2008.
    6. Yi Zhu & Kenneth C. Wilbur, 2008. "Strategic Bidding in Hybrid CPC/CPM Auctions," Working Papers 08-25, NET Institute, revised Oct 2008.
    7. 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.
    8. 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.

    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. 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.
    2. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    3. Kaifu Zhang & Zsolt Katona, 2012. "Contextual Advertising," Marketing Science, INFORMS, vol. 31(6), pages 980-994, November.
    4. 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.
    5. Anindya Ghose & Sha Yang, 2007. "An Empirical Analysis of Search Engine Advertising: Sponsored Search and Cross-Selling in Electronic Markets," Working Papers 07-35, NET Institute, revised Sep 2007.
    6. Alex Jiyoung Kim & Subramanian Balachander, 2023. "Coordinating traditional media advertising and online advertising in brand marketing," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1865-1879, June.
    7. Kenneth C. Wilbur & Yi Zhu, 2009. "Click Fraud," Marketing Science, INFORMS, vol. 28(2), pages 293-308, 03-04.
    8. Yu (Jeffrey) Hu & Jiwoong Shin & Zhulei Tang, 2016. "Incentive Problems in Performance-Based Online Advertising Pricing: Cost per Click vs. Cost per Action," Management Science, INFORMS, vol. 62(7), pages 2022-2038, July.
    9. Yi Zhu & Kenneth C. Wilbur, 2011. "Hybrid Advertising Auctions," Marketing Science, INFORMS, vol. 30(2), pages 249-273, 03-04.
    10. Avi Goldfarb & Catherine Tucker, 2011. "Search Engine Advertising: Channel Substitution When Pricing Ads to Context," Management Science, INFORMS, vol. 57(3), pages 458-470, March.
    11. Li, Sanxi & Sun, Hailin & Yu, Jun, 2023. "Competitive targeted online advertising," International Journal of Industrial Organization, Elsevier, vol. 87(C).
    12. 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.
    13. Alexandre de Corniere, 2013. "Search Advertising," Economics Series Working Papers 649, University of Oxford, Department of Economics.
    14. Song Yao & Carl F. Mela, 2008. "A Dynamic Model of Sponsored Search Advertising," Working Papers 08-16, NET Institute, revised Sep 2008.
    15. Jonathan Levin, 2011. "The Economics of Internet Markets," Discussion Papers 10-018, Stanford Institute for Economic Policy Research.
    16. Dirk Bergemann & Alessandro Bonatti, 2010. "Targeting in Advertising Markets: Implications for Offline vs. Online Media," Cowles Foundation Discussion Papers 1758, Cowles Foundation for Research in Economics, Yale University.
    17. Esteves, Rosa-Branca & Resende, Joana, 2019. "Personalized pricing and advertising: Who are the winners?," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 239-282.
    18. Yi Zhu & Kenneth C. Wilbur, 2008. "Strategic Bidding in Hybrid CPC/CPM Auctions," Working Papers 08-25, NET Institute, revised Oct 2008.
    19. Paul Belleflamme & Martin Peitz, 2019. "Managing competition on a two‐sided platform," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(1), pages 5-22, January.
    20. Mark Armstrong & Jidong Zhou, 2011. "Paying for Prominence," Economic Journal, Royal Economic Society, vol. 121(556), pages 368-395, November.

    More about this item

    Keywords

    search engines; advertising; market power; advertising prices;
    All these keywords.

    JEL classification:

    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:net:wpaper:0723. 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: Nicholas Economides (email available below). General contact details of provider: http://www.NETinst.org/ .

    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.