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Review of Marketing Science


CiteScore 2018: 0.12

SCImago Journal Rank (SJR) 2018: 0.114
Source Normalized Impact per Paper (SNIP) 2018: 0.070

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1546-5616
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A Theoretical and Empirical Analysis of Alternate Auction Policies for Search Advertisements

Subramanian Balachander / Karthik Kannan / David G Schwartz
Published Online: 2009-12-01 | DOI: https://doi.org/10.2202/1546-5616.1101

In the online world, publishers place ads from advertisers adjacent to internet search results for a given keyword. To sell such advertising, web publishers auction multiple ad slots using a generalized second-price auction. In this paper, we compare two auction policies that publishers can use to determine the rank and payments of bidding advertisers. The first policy, the highest bid policy, ranks ads based on the bids submitted while the second policy, the highest profit policy, ranks ads based on the expected profit generated to the publisher. Interestingly, we find that the highest profit policy may generate lower publisher profits per keyword even though it uses more information. Subsequently, we use data from a search engine and empirically establish that the correlation between valuations and click through rates are positive, an important assumption in our theoretical model. This finding provides significant support for the theoretical results.

Keywords: search advertising; internet advertising; advertising and media; pricing; game theory; e-commerce

About the article

Published Online: 2009-12-01


Citation Information: Review of Marketing Science, Volume 7, Issue 1, ISSN (Online) 1546-5616, DOI: https://doi.org/10.2202/1546-5616.1101.

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[1]
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[2]
Juan Feng and Jinhong Xie
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[3]
Abhishek Ray, Hossein Ghasemkhani, and Karthik Natarajan Kannan
SSRN Electronic Journal , 2017
[4]
Thanh Nguyen and Karthik Natarajan Kannan
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Karthik Natarajan Kannan, Rajib L. Saha, and Warut Khern-am-nuai
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[8]
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