The Impact of Competing Ads on Click Performance in Sponsored Search
Ashish Agarwal () and
Tridas Mukhopadhyay ()
Additional contact information
Ashish Agarwal: McCombs School of Business, University of Texas at Austin, Austin, Texas 78712
Tridas Mukhopadhyay: Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
Information Systems Research, 2016, vol. 27, issue 3, 538-557
Abstract:
Our research examines the impact of competing ads on click performance of an ad in sponsored search. We use a unique data set of 1,267 advertiser keyword pairs with differing ad quality related to 360 keywords from a search engine to evaluate the click performance. We find that competing high-quality ads, appearing above the focal ad, have a lower negative effect on the click performance as compared to competing low-quality ads. We also find that this effect of competing ads varies with the ad position and the type of keyword. In general, the negative effect of competing high-quality ads decreases at low positions as compared to high positions. Furthermore, this decrease in the negative effect of competing high-quality ads is more substantial for specific keywords.Our results reveal consumer behavior in evaluating different quality ads in sponsored search. More specifically, our results suggest that consumers use the presence of high-quality competing ads as a signal of higher quality of the focal ad. Our findings can help advertisers better evaluate their relative performance for different positions for various types of keywords. This can also help evaluate the efficacy of the auction design mechanism.
Keywords: sponsored search; hierarchical Bayesian estimation; online advertising; online auctions; search engine marketing (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://dx.doi.org/10.1287/isre.2016.0637 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:27:y:2016:i:3:p:538-557
Access Statistics for this article
More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().