ABSTRACT
The phenomenon of sponsored search advertising is gaining ground as the largest source of revenues for search engines. Firms across different industries have are beginning to adopt this as the primary form of online advertising. This process works on an auction mechanism in which advertisers bid for different keywords, and final rank for a given keyword is allocated by the search engine. But how different are firm's actual bids from their optimal bids? Moreover, what are other ways in which firms can potentially benefit from sponsored search advertising? Based on the model and estimates from prior work [10], we conduct a number of policy simulations in order to investigate to what extent an advertiser can benefit from bidding optimally for its keywords. Further, we build a Hierarchical Bayesian modeling framework to explore the potential for cross-selling or spillovers effects from a given keyword advertisement across multiple product categories, and estimate the model using Markov Chain Monte Carlo (MCMC) methods. Our analysis suggests that advertisers are not bidding optimally with respect to maximizing profits. We conduct a detailed analysis with product level variables to explore the extent of cross-selling opportunities across different categories from a given keyword advertisement. We find that there exists significant potential for cross-selling through search keyword advertisements in that consumers often end up buying products from other categories in addition to the product they were searching for. Latency (the time it takes for consumer to place a purchase order after clicking on the advertisement) and the presence of a brand name in the keyword are associated with consumer spending on product categories that are different from the one they were originally searching for on the Internet.
- Animesh, A., Ramachandran, V., Viswanathan, S. Quality uncertainty and adverse selection in sponsored search markets. Proceedings of the 2006 NET Institute Conference.Google Scholar
- Broder, A. Taxonomy of web search, SIGIR Forum, vol. 36, 2002, 3--10. Google ScholarDigital Library
- Chatterjee, P., Hoffman, D., and Novak, T. Modeling the clickstream: implications for web-based advertising efforts. Marketing Science: 22(4), 2003, 520--541. Google ScholarDigital Library
- Chib, S., and Greenberg. E. Understanding the Metropolis-Hastings algorithm. The American Statistician, 49, 1995, 327--335.Google Scholar
- Cho, C., Lee, J., and Tharp, M. Different forced-exposure levels to banner advertisements, Journal of Advertising Research, 41(4), 2001, 450--56.Google ScholarCross Ref
- Dahlen, M. Banner advertisements through a new lens, Journal of Advertising Research, 41(4), 2001, 23--30.Google ScholarCross Ref
- Danaher, P., and Mullarkey, G. Factors affecting online advertising recall: A Study of Students, Journal of Advertising Research, September, 2003, 252--267.Google ScholarCross Ref
- Edelman, B., Ostrovsky, M., and Schwarz, M. Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. American Economic Review, 97(1), 2007, 242--259.Google ScholarCross Ref
- Feng, J., Bhargava, H., and Pennock, D. Implementing sponsored search in web search engines: Computational evaluation of alternative mechanisms. Informs Journal on Computing, 19(1), 2007, 137--148. Google ScholarDigital Library
- Ghose, A., and Yang, S. An Empirical Analysis of Sponsored Search Performance in Search Engine Advertising. Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2008. Google ScholarDigital Library
- Grossman, G., and Shapiro, C. Informative advertising with differentiated products. Review of Economic Studies. 51(1), 1984, 63--81.Google ScholarCross Ref
- Ilfeld, J., and Winer, R. Generating website traffic. Journal of Advertising Research, 42, 2002, 49--61.Google ScholarCross Ref
- Jansen, B., and Spink, A. The effect on click-through of combining sponsored and non-sponsored search engine results in a single listing, Proceedings of the 2007 Workshop on Sponsored Search Auctions, WWW Conference, 2007.Google Scholar
- Kamakura W., S. Ramaswami, and Srivastava, R. 1991. Applying latent trait analysis in the evaluation of prospects for cross-selling of financial services. Int. Journal. of Research in Marketing, 8: 329--349.Google ScholarCross Ref
- Knott A., A. Hayes, and Neslin, S. Next-Product-to-Buy models for cross-selling applications. Journal of Interactive Marketing, 16 (3), 2002, 59--75.Google ScholarCross Ref
- Li, S., Sun, B., and Wilcox, R. Cross-selling sequentially ordered products: An application to consumer banking services. Journal of Marketing Research, XLII, May, 2005, 233--239.Google ScholarCross Ref
- Manchanda, P., Dubé, J., Goh, K., and Chintagunta, P. The effect of banner advertising on internet purchasing. Journal of Marketing Research, 43(1), 2006, 98--108.Google ScholarCross Ref
- Moe, W., and Fader, P. Dynamic conversion behavior at e-commerce sites. Management Science, 50(3), 2003, 326--335. Google ScholarDigital Library
- Rossi, P. E., and Allenby, G. Bayesian statistics and marketing. Marketing Science, 22, 2003, 304--329. Google ScholarDigital Library
- Rutz, O., and R. E. Bucklin 2007. A model of individual keyword performance in paid search advertising, Unpublished Mimeo, UCLA.Google Scholar
Index Terms
- Analyzing search engine advertising: firm behavior and cross-selling in electronic markets
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