From Generic to Branded: A Model of Spillover in Paid Search Advertising

Journal of Marketing Research - Tập 48 Số 1 - Trang 87-102 - 2011
Oliver J. Rutz1, Randolph E. Bucklin2
1Yale School of Management, Yale University
2ANDERSON SCHOOL OF MANAGEMENT UNIVERSITY OF CALIFORNIA AT LOS ANGELES

Tóm tắt

In Internet paid search advertising, marketers pay for search engines to serve text advertisements in response to keyword searches that are generic (e.g., “hotels”) or branded (e.g., “Hilton Hotels”). Although standalone metrics usually show that generic keywords have higher apparent costs to the advertiser than branded keywords, generic search may create a spillover effect on subsequent branded search. Building on the Nerlove–Arrow advertising framework, the authors propose a dynamic linear model to capture the potential spillover from generic to branded paid search. In the model, generic search advertisements serve to expose users to information about the brand's ability to meet their needs, raising awareness that the brand is relevant to the search. In turn, this can induce additional future search activity for keywords that include the brand name. Using a Bayesian estimation approach, the authors apply the model to data from a paid search campaign for a major lodging chain. The results show that generic search activity positively affects future branded search activity through awareness of relevance. However, branded search does not affect generic search, demonstrating that the spillover is asymmetric. The findings have implications for understanding search behavior on the Internet and the management of paid search advertising.

Từ khóa


Tài liệu tham khảo

10.1287/mksc.1080.0358

10.1287/mksc.1060.0208

Chen Yongmin, 2009, “Paid Placement: Advertising and Search on the Internet,”

10.1016/j.dss.2006.08.008

10.1257/aer.97.1.242

Enquiro, (2006), “Inside the Mind of the Searcher,” (accessed October 18, 2010), [available at http://pages.enquiro.com/whitepaper-inside-the-mind-of-the-searcher.html].

10.1287/mnsc.1090.1054

Ghose Anindya, 2009, “Modeling Cross-Category Purchases in Sponsored Search Advertising,”

Goldfarb Avi, 2009, “Search Engine Advertising: Pricing Ads to Context,”

10.1515/9780691218632

10.1287/mksc.17.3.214

10.1509/jmkr.40.4.375.19385

Naik Prasad A., 2009, “Managing Corporate and Product Brands,”

10.2307/2551549

10.1287/mksc.1040.0075

10.1016/j.jretai.2006.03.001

10.1057/palgrave.bm.2540030

PricewaterhouseCoopers (2008), “IAB Internet Advertising Revenue Report,” (accessed October 15, 2010), [available at http://www.iab.net/media/file/IAB_PwC_2008_full_year.pdf].

Rutz Oliver J., 2009, “A Shrinkage-Based Approach to Measuring Keyword Conversion Rates in Paid Search,”

Search Engine Watch, (2006), “Delving Deep Inside the Searcher's Mind,” special report presented at Search Engine Strategies Conference, San Jose, CA (August 2–5, 2004).

10.1287/mnsc.1040.0225

10.1287/mksc.1040.0069

10.1509/jmkr.41.2.166.28669

West Mike, 1997, Bayesian Forecasting and Dynamic Models.

10.1287/mksc.1080.0397

Yao Song, 2009, “A Dynamic Model of Sponsored Search Advertising,”