Sponsored Search Auctions: Research Opportunities in Marketing

We systematically overview the literature in keyword search and propose several promising research directions. The paper is organized by each agent in the search process; searchers, advertisers and the search engine and reviews the key research issues for each. For each group, we outline the decision process involved in keyword search. For searchers, this involves what to search, where to search, which results to click, and when to exit search. For advertisers, this involves where to bid and which word or words to bid on, and how searchers and auction mechanisms moderate these behaviors. The search engine faces choices on mechanism design, website design and how much information to share with its advertisers and searchers. These choices have implications for customer lifetime value and the nature of competition between advertisers. Overall, we list a number of potential areas of future research arising from the decision processes of these various agents.

[1]  John G. Lynch,et al.  Wine Online: Search Costs and Competition on Price, Quality, and Distribution , 2018 .

[2]  Song Yao,et al.  A Dynamic Model of Sponsored Search Advertising , 2010, Mark. Sci..

[3]  Yi Zhu,et al.  Click Fraud , 2009, Mark. Sci..

[4]  Jose M. Vidal-Sanz,et al.  The value of a "free" customer , 2009 .

[5]  Bart J. Bronnenberg,et al.  Online Demand Under Limited Consumer Search , 2009, Mark. Sci..

[6]  Oliver J. Rutz,et al.  From Generic to Branded: A Model of Spillover Dynamics in Paid Search Advertising , 2008 .

[7]  Carl F. Mela,et al.  Customer Channel Migration , 2008 .

[8]  Song Yao,et al.  Online Auction Demand , 2008, Mark. Sci..

[9]  Glenn Ellison,et al.  Position Auctions with Consumer Search , 2007 .

[10]  Ross A. Malaga The Value of Search Engine Optimization: An Action Research Project at a New E-Commerce Site , 2007, J. Electron. Commer. Organ..

[11]  Chinya V. Ravishankar,et al.  Addressing Click Fraud in Content Delivery Systems , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[12]  Sumit K. Majumdar,et al.  Wearout Effects of Different Advertising Themes: A Dynamic Bayesian Model of the Advertising-Sales Relationship , 2007 .

[13]  Benjamin Edelman,et al.  Strategic bidder behavior in sponsored search auctions , 2007, Decis. Support Syst..

[14]  Georgia Kosmopoulou,et al.  The Impact of Public Information on Bidding in Highway Procurement Auctions , 2007 .

[15]  Garud Iyengar,et al.  Characterizing Optimal Adword Auctions , 2006, ArXiv.

[16]  Yongmin Chen,et al.  Paid Placement: Advertising and Search on the Internet , 2006 .

[17]  David I. Laibson,et al.  Costly Information Acquisition: Experimental Analysis of a Boundedly Rational Model , 2006 .

[18]  G. Jin,et al.  Price, Quality and Reputation: Evidence from an Online Field Experiment , 2006 .

[19]  Amy Nicole Langville,et al.  Google's PageRank and beyond - the science of search engine rankings , 2006 .

[20]  David P. Williamson,et al.  An adaptive algorithm for selecting profitable keywords for search-based advertising services , 2006, EC '06.

[21]  Han Hong,et al.  Using price distributions to estimate search costs , 2006 .

[22]  Pradeep K. Chintagunta,et al.  The Effect of Banner Advertising on Internet Purchasing , 2006 .

[23]  Carl F. Mela,et al.  Choice Models and Customer Relationship Management , 2005 .

[24]  Robert Zeithammer Forward-Looking Bidding in Online Auctions , 2005 .

[25]  Divyakant Agrawal,et al.  Duplicate detection in click streams , 2005, WWW '05.

[26]  Glenn Ellison,et al.  Lessons About Markets from the Internet , 2005 .

[27]  Kannan Srinivasan,et al.  Modeling Online Browsing and Path Analysis Using Clickstream Data , 2004 .

[28]  D. Ariely,et al.  Auction fever: The effect of opponents and quasi-endowment on product valuations , 2004 .

[29]  Alison King Chung Lo,et al.  Consumer Sequential Search: Not Enough or Too Much? , 2003 .

[30]  Ali Hortaçsu,et al.  Winner's Curse, Reserve Prices and Endogenous Entry: Empirical Insights from Ebay Auctions , 2003 .

[31]  John G. Lynch,et al.  Smart Agents: When Lower Search Costs for Quality Information Increase Price Sensitivity , 2003 .

[32]  Ali Hortaçsu,et al.  Product Differentiation, Search Costs, and Competition in the Mutual Fund Industry: A Case Study of S&P 500 Index Funds , 2003 .

[33]  Carl F. Mela,et al.  E-Customization , 2003 .

[34]  Ali Hortaçsu,et al.  Product Differentiation, Search Costs, and Competition in the Mutual Fund Industry: A Case Study of S&P 500 Index Funds , 2003 .

[35]  Eric J. Johnson,et al.  When Web Pages Influence Choice: Effects of Visual Primes on Experts and Novices , 2002 .

[36]  Atanu R. Sinha,et al.  Auctions: Research Opportunities in Marketing , 2002 .

[37]  Thorsten Joachims,et al.  Optimizing search engines using clickthrough data , 2002, KDD.

[38]  J. Goeree,et al.  Efficiency in auctions with Private and Common Values , 2002 .

[39]  Martin Pesendorfer,et al.  Estimation of a Dynamic Auction Game , 2001 .

[40]  Gerald Häubl,et al.  Preference Construction and Persistence in Digital Marketplaces: The Role of Electronic Recommendation Agents , 2001 .

[41]  Elmar G. Wolfstetter,et al.  Low Price Equilibrium in Multi-Unit Auctions: The Gsm Spectrum Auction in Germany , 2001, SSRN Electronic Journal.

[42]  Eric T. Bradlow,et al.  The Little Engines That Could: Modeling the Performance of World Wide Web Search Engines , 2000 .

[43]  R. Lal,et al.  When and How is the Internet Likely to Decrease Price Competition , 1999 .

[44]  P. Reny On the Existence of Pure and Mixed Strategy Nash Equilibria in Discontinuous Games , 1999 .

[45]  Benny Pinkas,et al.  On the Security of Pay-per-Click and Other Web Advertising Schemes , 1999, Comput. Networks.

[46]  Sunil Gupta,et al.  The Shopping Basket: A Model for Multicategory Purchase Incidence Decisions , 1999 .

[47]  Catherine Wolfram Strategic Bidding in a Multiunit Auction: An Empirical Analysis of Bids to Supply Electricity in England and Wales , 1998 .

[48]  Prasad A. Naik,et al.  Planning Media Schedules in the Presence of Dynamic Advertising Quality , 1998 .

[49]  John G. Lynch,et al.  Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces , 1997 .

[50]  Susan Athey,et al.  Single Crossing Properties and the Existence of Pure Strategy Equilibria in Games of Incomplete Information , 1997 .

[51]  B. Ratchford,et al.  Consumer information search revisited: Theory and empirical analysis , 1997 .

[52]  Bari A. Harlam,et al.  Modeling Consumers’ Choices of Multiple Items , 1995 .

[53]  P. Cramton Money Out of Thin Air: The Nationwide Narrowband PCS Auction , 1995 .

[54]  Simon P. Anderson,et al.  Discrete Choice Theory of Product Differentiation , 1995 .

[55]  I. Hendel,et al.  Estimating Multiple-Discrete Choice Models: An Application to Computeri-Zzation Returns , 1994 .

[56]  Paul R. Milgrom,et al.  A theory of auctions and competitive bidding , 1982 .

[57]  M. Weitzman Optimal search for the best alternative , 1978 .

[58]  J. E. Russo,et al.  The Value of Unit Price Information , 1977 .

[59]  Journal of Marketing Research , 1968 .

[60]  George J. Stigler,et al.  Information in the Labor Market , 1962, Journal of Political Economy.

[61]  K. Arrow,et al.  OPTIMAL ADVERTISING POLICY UNDER DYNAMIC CONDITIONS , 1962 .

[62]  William Vickrey,et al.  Counterspeculation, Auctions, And Competitive Sealed Tenders , 1961 .

[63]  Sandro Brusco,et al.  Simultaneous ascending auctions with complementarities and known budget constraints , 2009 .

[64]  Elsevier Sdol,et al.  International Journal of Industrial Organization , 2005 .

[65]  Joseph B. Keller,et al.  the Value of π in , 2009, Am. Math. Mon..

[66]  Aries Wei Sun,et al.  Position Auction , 2008, Encyclopedia of Algorithms.

[67]  E. Maasland,et al.  Auction Theory , 2021, Springer Texts in Business and Economics.

[68]  Zhenyu Liu,et al.  Analysis of User Web Traffic with A Focus on Search Activities , 2005, WebDB.

[69]  S. Dhami ECONOMICS OF INFORMATION , 2004 .

[70]  Catherine Tucker Stanford Empirically evaluating two-sided integrated network effects: The case of electronic payments∗ , 2004 .

[71]  Jean-Pierre Dubé Multiple Discreteness and Product Differentiation: Demand for Carbonated Soft Drinks , 2004 .

[72]  Wendy W. Moe,et al.  The Influence of Goal‐Directed and Experiential Activities on Online Flow Experiences , 2003 .

[73]  C. Leake Discrete Choice Theory of Product Differentiation , 1995 .

[74]  Dale O. Stahl,et al.  Oligopolistic Pricing with Sequential Consumer Search , 1989 .

[75]  W. Andrew,et al.  LO, and A. , 1988 .