Return on Quality Improvements in Search Engine Marketing

In search engine marketing, such as on Google, advertisements’ ranking and prices paid per click result from generalized, second-price, sealed bid auctions that weight the submitted bids for each keyword by the quality of an advertisement. Conventional wisdom suggests that advertisers can only benefit from improving their advertisement's quality. With an empirical study, this article shows that quality improvements have complex effects whose returns are actually unclear: 5% of all quality improvements to an advertisement lead to higher prices (measured by price per click) per keyword, 100% to a higher number of clicks, 53% to higher costs for search engine marketing, and 37% to lower profits. Quality improvements lead to higher weighted bids, which only lower prices if they do not improve the ranking of the advertisement. Otherwise, better ranks likely lead to higher prices. A decomposition method can disentangle these effects and explain their effects on search engine marketing costs and profits. Finally, the results indicate that advertisers benefit if they lower their bids after improvements to advertising quality.

[1]  Sanjog Misra An Empirical Study of Search Engine Advertising Effectiveness , 2006 .

[2]  Song Yao,et al.  Sponsored Search Auctions: Research Opportunities in Marketing , 2009 .

[3]  Anindya Ghose,et al.  An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets , 2009, Manag. Sci..

[4]  Oliver Hinz,et al.  An analysis of the importance of the long tail in search engine marketing , 2010, Electron. Commer. Res. Appl..

[5]  A. Rangaswamy,et al.  The Impact of New Media on Customer Relationships , 2010 .

[6]  Nadia Abou Nabout,et al.  PROSAD: A Bidding Decision Support System for Profitable Search Engine Marketing , 2013 .

[7]  Robert D. Kleinberg A multiple-choice secretary algorithm with applications to online auctions , 2005, SODA '05.

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

[9]  H. Varian Computer Mediated Transactions , 2010 .

[10]  C. Lee Giles,et al.  A Strategic Perspective on Search Engines: Thought Candies for Practitioners and Researchers , 2009 .

[11]  Thorsten Wiesel,et al.  Customer Equity: An Integral Part of Financial Reporting , 2008 .

[12]  Andrew B. Whinston,et al.  Auctioning Keywords in Online Search , 2009 .

[13]  Avi Goldfarb,et al.  Search Engine Advertising: Channel Substitution when Pricing Ads to Context , 2010, Manag. Sci..

[14]  Michael Trusov,et al.  Zooming In on Paid Search Ads - A Consumer-Level Model Calibrated on Aggregated Data , 2011, Mark. Sci..

[15]  Bernd Skiera,et al.  An Analysis of the Profitability of Fee-Based Compensation Plans for Search Engine Marketing , 2011 .

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

[17]  Alex Kulesza,et al.  Empirical Price Modeling for Sponsored Search , 2007, WINE.

[18]  Michael D. Smith,et al.  Location, Location, Location: An Analysis of Profitability of Position in Online Advertising Markets , 2008 .

[19]  Yunhong Zhou,et al.  Vindictive bidding in keyword auctions , 2007, ICEC.

[20]  Andrew B. Whinston,et al.  Ex Ante Information and the Design of Keyword Auctions , 2010, Inf. Syst. Res..

[21]  Zoë Abrams,et al.  Ad Auction Design and User Experience , 2007, WINE.

[22]  Anindya Ghose,et al.  Analyzing the Relationship Between Organic and Sponsored Search Advertising: Positive, Negative, or Zero Interdependence? , 2010, Mark. Sci..

[23]  Hemant K. Bhargava,et al.  Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative Mechanisms , 2007, INFORMS J. Comput..

[24]  Michael Trusov,et al.  Modeling Indirect Effects of Paid Search Advertising: Which Keywords Lead to More Future Visits? , 2011, Mark. Sci..

[25]  Oliver J. Rutz,et al.  From Generic to Branded: A Model of Spillover in Paid Search Advertising , 2011 .

[26]  Kannan Srinivasan,et al.  A "Position Paradox" in Sponsored Search Auctions , 2011, Mark. Sci..

[27]  Tammo H. A. Bijmolt,et al.  Decomposing the Promotional Revenue Bump for Loyalty Program Members versus Nonmembers , 2005 .

[28]  Jason D. Hartline,et al.  Position Auctions and Non-uniform Conversion Rates , 2008 .

[29]  Randolph E. Bucklin,et al.  Marketing Models for Electronic Commerce , 2008 .

[30]  Juan Feng,et al.  Research Note - Optimal Mechanism for Selling a Set of Commonly Ranked Objects , 2008, Mark. Sci..

[31]  Brendan Kitts,et al.  Optimal Bidding on Keyword Auctions , 2004, Electron. Mark..

[32]  A. Gunawardana,et al.  A Quality-Based Auction for Search Ad Markets with Aggregators , 2008 .