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Journal of Interactive Marketing xx (2013) xxx – xxx www.elsevier.com/locate/intmar Using Internet Behavior to Deliver Relevant Television Commercials
Steven Bellman a,⁎& Jamie Murphy b, d & Shiree Treleaven-Hassard a & James O 'Farrell c &
Lili Qiu c & Duane Varan a a Audience Research Labs, Murdoch University, 90 South Street, Murdoch, WA 6150, Australia
Australian School of Management, Level 1, 641 Wellington Street, Perth, WA 6000, Australia
Business School, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia d Curtin Graduate School of Business, 78 Murray Street, Perth, WA 6000, Australia b c
Abstract
Consumer footprints left on the Internet help advertisers show consumers relevant Web ads, which increase awareness and click-throughs. This
“proof of concept” experiment illustrates how Internet behavior can identify relevant television commercials that increase ad-effectiveness by raising attention and ad exposure. Product involvement and prior brand exposure, however, complicate effective Internet-targeting. Ad relevance matters more for low-involvement products, which have a short pre-purchase search process. For the same reason, using Web browsing behavior to make inferences about current ad relevance is more accurate for low-involvement products. Prior brand exposure reduces information-value, even for relevant commercials, and therefore dampens ad relevance 's effect on attention and ad exposure.
© 2013 Direct Marketing Educational Foundation, Inc. Published by Elsevier Inc. All rights reserved.
Keywords: Consumer search behavior; Advertising; Ad relevance; Product involvement; Behavioral targeting; Attention; Ad avoidance; Television; Internet;
Experiment; Heart rate
Introduction
Television, declining in value for advertisers in recent years, is shrinking as a mass medium due to the proliferation of networks
References: Agarwal, Ritu and Viswanath Venkatesh (2002), “Assessing a Firm 's Web Presence: A Heuristic Evaluation Procedure for the Measurement of Usability,” Andreassi, John L. (2007), Psychophysiology: Human Behavior and Physiological Response Batra, Rajeev and Michael L. Ray (1983), “Operationalizing Involvement as Depth and Quality of Cognitive Response,” Advances in Consumer Research, Bellman, Steven, Anika Schweda, and Duane Varan (2010), “The Residual Impact of Avoided Television Advertising,” Journal of Advertising, 39, Spring, 67–81. Bergkvist, Lars and John R. Rossiter (2007), “The Predictive Validity of Multiple-item Versus Single-item Measures of the Same Constructs,” Blattberg, Robert C. and John Deighton (1991), “Interactive Marketing: Exploiting the Age of Addressability,” Sloan Management Review, 33, Fall, 5–14. Bloch, Peter H. and Marsha L. Richins (1983), “A Theoretical Model for the Study of Product Importance Perceptions,” Journal of Marketing, 47, ———, Daniel L. Sherrell, and Nancy M. Ridgway (1986), “Consumer Search: An Extended Framework,” Journal of Consumer Research, 13, Cai, Liping A., Ruomei Feng, and Deborah Breiter (2004), “Tourist Purchase Decision Involvement and Information Preferences,” Journal of Vacation Campbell, Margaret C. and Kevin Lane Keller (2003), “Brand Familiarity and Advertising Repetition Effects,” Journal of Consumer Research, 30, Chatterjee, Patrali (2008), “Are Unclicked Ads Wasted? Enduring Effects of Banner and Pop-up Ad Exposures on Brand Memory and Attitudes,” Journal Cook, Thomas D. and Donald T. Campbell (1979), Quasi-Experimentation: Design & Analysis Issues for Field Settings Coulter, Keith S. (1998), “The Effects of Affective Responses to Media Context on Advertising Evaluations,” Journal of Advertising, 27, Winter, 41–51. Delo, Cotton (2012), “Does Facebook Know You 're Pregnant? What It Knows Depends on Whom You Ask: Social Network Says One Thing, Its Drèze, Xavier and François-Xavier Hussherr (2003), “Internet Advertising: Is Anybody Watching?,” Journal of Interactive Marketing, 17, Autumn, 8–23. Ephron, Erwin (1995), “More Weeks, Less Weight: The Shelf-space Model of Advertising,” Journal of Advertising Research, 35, May-June, 18–23. Faul, Franz, Edgar Erdfelder, Albert-Georg Lang, and Axel Buchner (2007), “G*Power 3: A Flexible Statistical Power Analysis Program for the Social, Fazio, Russell H., David M. Sanbonmatsu, Martha C. Powell, and Frank R. Kardes (1986), “On the Automatic Activation of Attitudes,” Journal of Personality Gal-Or, Esther and Mordechai Gal-Or (2005), “Customized Advertising via a Common Media Distributor,” Marketing Science, 24, Spring, 241–53. ———,———, Jerrold H. May, and William E. Spangler (2006), “Targeted Advertising Strategies on Television,” Management Science, 52, May, 713–25. Goldberg, Marvin E. and Gerald J. Gorn (1987), “Happy and Sad TV Programs: How they Affect Reactions to Commercials,” Journal of Consumer Goldfarb, Avi and Catherine E. Tucker (2011), “Privacy Regulation and Online Advertising,” Management Science, 57, January, 57–71. Green, Donald Philip, Susan Lee Goldman, and Peter Salovey (1993), “Measurement Error Masks Bipolarity in Affect Ratings,” Journal of Personality and Social Psychology, 64, 6, 1029–41. Greene, William F. (1988), “Maybe the Valley of the Shadow Isn 't so Dark After All,” Journal of Advertising Research, 28, October-November, 11–5. Gustafson, Paul and S. Siddarth (2007), “Describing the Dynamics of Attention to TV Commercials: A Hierarchical Bayes Analysis of the Time to Zap an Iyer, Ganesh, David Soberman, and J. Miguel Villas-Boas (2005), “The Targeting of Advertising,” Marketing Science, 24, Summer, 461–76. Please cite this article as: Steven Bellman, et al., Using Internet Behavior to Deliver Relevant Television Commercials, Journal of Interactive Marketing (2013), http:// dx.doi.org/10.1016/j.intmar.2012.12.001 S. Bellman et al. / Journal of Interactive Marketing xx (2013) xxx–xxx Jamieson, Linda F Janiszewski, Chris (1998), “The Influence of Display Characteristics on Visual Exploratory Search,” Journal of Consumer Research, 25, December, 290–301. Jansen, Bernard J. and T. Mullen (2008), “Sponsored Search: An Overview of the Concept, History, and Technology,” International Journal of Electronic ———, Theresa B. Flaherty, Ricardo Baeza-Yates, Lee Hunter, Brendan Kitts, and Jamie Murphy (2009), “The Components and Impact of Sponsored Juster, F. Thomas (1966), “Consumer Buying Intentions and Purchase Probability: An Experiment in Survey Design,” Journal of the American Statistical Kover, Arthur J. and Joseph Abruzzo (1993), “The Rossiter–Percy Grid and Emotional Response to Advertising: An Initial Evaluation,” Journal of Lacey, John I. (1967), “Somatic Response Patterning and Stress: Some Revisions of Activation Theory,” Psychological Stress: Issues in Research,