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Why, When, and How Much to Entertain Consumers in Advertisements? A Web-Based Facial Tracking Field Study

Author

Listed:
  • Thales Teixeira

    (Harvard Business School, Harvard University, Boston, Massachusetts 02163)

  • Rosalind Picard

    (Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139)

  • Rana el Kaliouby

    (Affectiva Inc., Waltham, Massachusetts 02452)

Abstract

The presence of positive entertainment (e.g., visual imagery, upbeat music, humor) in TV advertisements can make them more attractive and persuasive. However, little is known about the downside of too much entertainment. This research focuses on why, when, and how much to entertain consumers in TV advertisements. We collected data in a large scale field study using 82 ads with various levels of entertainment shown to 178 consumers in their homes and workplaces. Using a novel web-based face tracking system, we continuously measure consumers' smile responses, viewing interest, and purchase intent. A simultaneous Bayesian hierarchical model is estimated to assess how different levels of entertainment affect purchases by endogenizing viewing interest. We find that entertainment has an inverted U-shape relationship to purchase intent. Importantly, we separate entertainment into that which comes before the brand versus that which comes after, and find that the latter is positively associated with purchase intent while the former is not.

Suggested Citation

  • Thales Teixeira & Rosalind Picard & Rana el Kaliouby, 2014. "Why, When, and How Much to Entertain Consumers in Advertisements? A Web-Based Facial Tracking Field Study," Marketing Science, INFORMS, vol. 33(6), pages 809-827, November.
    • Handle: RePEc:inm:ormksc:v:33:y:2014:i:6:p:809-827
    DOI: 10.1287/mksc.2014.0854
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    References listed on IDEAS

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    1. Xiaojing Yang & Robert E. Smith, 2009. "Beyond Attention Effects: Modeling the Persuasive and Emotional Effects of Advertising Creativity," Marketing Science, INFORMS, vol. 28(5), pages 935-949, 09-10.
    2. Janiszewski, Chris & Warlop, Luk, 1993. "The Influence of Classical Conditioning Procedures on Subsequent Attention to the Conditioned Brand," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 171-189, September.
    3. Thales S. Teixeira & Michel Wedel & Rik Pieters, 2010. "Moment-to-Moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing," Marketing Science, INFORMS, vol. 29(5), pages 783-804, 09-10.
    4. Deighton, John & Romer, Daniel & McQueen, Josh, 1989. "Using Drama to Persuade," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(3), pages 335-343, December.
    5. Fitzsimons, Gavan J & Morwitz, Vicki G, 1996. "The Effect of Measuring Intent on Brand-Level Purchase Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(1), pages 1-11, June.
    6. Hutchinson, J Wesley & Kamakura, Wagner A & Lynch, John G, Jr, 2000. "Unobserved Heterogeneity as an Alternative Explanation for "Reversal" Effects in Behavioral Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(3), pages 324-344, December.
    7. Robert E. Smith & Scott B. MacKenzie & Xiaojing Yang & Laura M. Buchholz & William K. Darley, 2007. "Modeling the Determinants and Effects of Creativity in Advertising," Marketing Science, INFORMS, vol. 26(6), pages 819-833, 11-12.
    8. Rik Pieters & Michel Wedel, 2012. "Ad Gist: Ad Communication in a Single Eye Fixation," Marketing Science, INFORMS, vol. 31(1), pages 59-73, January.
    9. Keller, Kevin Lane, 1987. "Memory Factors in Advertising: The Effect of Advertising Retrieval Cues on Brand Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 316-333, December.
    10. Martin Eisend, 2011. "How humor in advertising works: A meta-analytic test of alternative models," Marketing Letters, Springer, vol. 22(2), pages 115-132, June.
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    7. Henriques, David, 2020. "Effects of TV airtime regulation on advertising quality and welfare," LSE Research Online Documents on Economics 106963, London School of Economics and Political Science, LSE Library.
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