Effects of TV Advertising on Keyword Search in the AOL Dataset
The Ohio State University, Fisher College of Business
Kenneth C. Wilbur
University of California, San Diego (UCSD) - Rady School of Management
University of Minnesota - Carlson School of Management
April 29, 2014
This paper investigates the possibility that television advertising influences online search in the AOL search dataset. It proposes a novel keyword mining technique to classify keywords as brand related, category related (generic), or unrelated, distinguishing between category search and consumers’ tendency to search a branded keyword. A three-level conditional choice model is estimated to determine whether hourly changes in brands’ television advertising expenditures are related to deviations from baseline trends in search behaviors. The results indicate a statistically significant relationship between advertising and consumers’ tendency to search branded keywords (e.g. “Fidelity”) rather than generic category-related keywords (e.g. “stocks”) in the dataset. The effect is largest for relatively young brands during standard business hours with an elasticity, .07, comparable to extant measurements of advertising’s impact on sales. However, television advertising does not appear to be related to category search incidence or click-through rates.
Number of Pages in PDF File: 43
Keywords: Advertising, Search Engine Marketing, Televisionworking papers series
Date posted: December 7, 2010 ; Last revised: June 22, 2014
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