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Playoff payoff: Super Bowl advertising for movies

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  • Ho, Jason Y.C.
  • Dhar, Tirtha
  • Weinberg, Charles B.

Abstract

Marketers are increasingly making use of major TV events, such as the Super Bowl, to advertise their products. However, the economic value of such advertising is highly uncertain. Since an ad during the Super Bowl costs 2.5 times more per viewer reached than an ad during a network TV prime time show, developing methods for evaluating such advertising and for measuring its effects seems particularly important. Using the setting of the movie industry, this paper develops and estimates a model that includes both direct (on potential moviegoers) and indirect effects (on exhibitors) of regular and Super Bowl advertising. The model recognizes the endogeneity of advertising, and in particular develops a discrete choice model to control for the endogeneity of the Super Bowl advertising decision. The results indicate that Super Bowl advertising has a positive effect on box office revenues, but primarily through an indirect effect on exhibitors. In addition, regular TV advertising is more effective than Super Bowl advertising for initial advertising spending; a counterfactual analysis, by contrast, shows that for a movie already spending at our sample's average TV spending level of $13million, Super Bowl advertising has a greater effect on revenues than regular TV advertising.

Suggested Citation

  • Ho, Jason Y.C. & Dhar, Tirtha & Weinberg, Charles B., 2009. "Playoff payoff: Super Bowl advertising for movies," International Journal of Research in Marketing, Elsevier, vol. 26(3), pages 168-179.
  • Handle: RePEc:eee:ijrema:v:26:y:2009:i:3:p:168-179
    DOI: 10.1016/j.ijresmar.2009.06.001
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    1. Anita Elberse & Jehoshua Eliashberg, 2003. "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures," Marketing Science, INFORMS, vol. 22(3), pages 329-354.
    2. Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October.
    3. Richard W. Blundell & James L. Powell, 2004. "Endogeneity in Semiparametric Binary Response Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(3), pages 655-679.
    4. repec:bla:econom:v:63:y:1996:i:250:p:291-309 is not listed on IDEAS
    5. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    6. Liran Einav, 2007. "Seasonality in the U.S. motion picture industry," RAND Journal of Economics, RAND Corporation, vol. 38(1), pages 127-145, March.
    7. Lee, Lung-Fei, 1978. "Unionism and Wage Rates: A Simultaneous Equations Model with Qualitative and Limited Dependent Variables," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 415-433, June.
    8. Yelkur, Rama & Tomkovick, Chuck & Traczyk, Patty, 2004. "Super Bowl Advertising Effectiveness: Hollywood Finds the Games Golden," Journal of Advertising Research, Cambridge University Press, vol. 44(1), pages 143-159, March.
    9. Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.
    10. McElroy, Marjorie B., 1977. "Goodness of fit for seemingly unrelated regressions : Glahn's R2y.x and Hooper's r2," Journal of Econometrics, Elsevier, vol. 6(3), pages 381-387, November.
    11. Preyas S. Desai, 2000. "Multiple Messages to Retain Retailers: Signaling New Product Demand," Marketing Science, INFORMS, vol. 19(4), pages 381-389, August.
    12. Russell, Cristel Antonia, 2002. "Investigating the Effectiveness of Product Placements in Television Shows: The Role of Modality and Plot Connection Congruence on Brand Memory and Attitude," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(3), pages 306-318, December.
    13. Dina Mayzlin, 2006. "Promotional Chat on the Internet," Marketing Science, INFORMS, vol. 25(2), pages 155-163, 03-04.
    14. Wujin Chu, 1992. "Demand Signalling and Screening in Channels of Distribution," Marketing Science, INFORMS, vol. 11(4), pages 327-347.
    15. J. Miguel Villas-Boas & Russell S. Winer, 1999. "Endogeneity in Brand Choice Models," Management Science, INFORMS, vol. 45(10), pages 1324-1338, October.
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    7. Darlene Chisholm & Víctor Fernández-Blanco & S. Abraham Ravid & W. David Walls, 2015. "Economics of motion pictures: the state of the art," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 1-13, February.
    8. Delre, Sebastiano A. & Luffarelli, Jonathan, 2023. "Consumer reviews and product life cycle: On the temporal dynamics of electronic word of mouth on movie box office," Journal of Business Research, Elsevier, vol. 156(C).
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    10. Rubin, Dan & Mohr, Iris & Kumar, V., 2022. "Beyond the box office: A conceptual framework for the drivers of audience engagement," Journal of Business Research, Elsevier, vol. 151(C), pages 473-488.
    11. Situmeang, Frederik B.I. & Leenders, Mark A.A.M. & Wijnberg, Nachoem M., 2014. "History matters: The impact of reviews and sales of earlier versions of a product on consumer and expert reviews of new editions," European Management Journal, Elsevier, vol. 32(1), pages 73-83.
    12. Reo Song & Sangkil Moon & Haipeng (Allan) Chen & Mark B. Houston, 2018. "When marketing strategy meets culture: the role of culture in product evaluations," Journal of the Academy of Marketing Science, Springer, vol. 46(3), pages 384-402, May.
    13. Suman Basuroy & S. Abraham Ravid & Richard T. Gretz & B. J. Allen, 2020. "Is everybody an expert? An investigation into the impact of professional versus user reviews on movie revenues," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(1), pages 57-96, March.
    14. Mark B. Houston & Ann-Kristin Kupfer & Thorsten Hennig-Thurau & Martin Spann, 2018. "Pre-release consumer buzz," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 338-360, March.
    15. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    16. Situmeang, Frederik B.I. & Gemser, Gerda & Wijnberg, Nachoem M. & Leenders, Mark A.A.M, 2016. "Risk-taking behavior of technology firms: The role of performance feedback in the video game industry," Technovation, Elsevier, vol. 54(C), pages 22-34.
    17. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    18. Janée N. Burkhalter & Carolyn Folkman Curasi & Corliss G. Thornton & Naveen Donthu, 2017. "Music and its multitude of meanings: Exploring what makes brand placements in music videos authentic," Journal of Brand Management, Palgrave Macmillan, vol. 24(2), pages 140-160, March.
    19. Björn Bohnenkamp & Ann-Kristin Knapp & Thorsten Hennig-Thurau & Ricarda Schauerte, 2015. "When does it make sense to do it again? An empirical investigation of contingency factors of movie remakes," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 15-41, February.
    20. Denis Y. Orlov & Evgeniy M. Ozhegov, 2015. "Estimating the Efficiency of Sequels in the Film Industry," HSE Working papers WP BRP 96/EC/2015, National Research University Higher School of Economics.
    21. Kim, Ho & Bruce, Norris I., 2018. "Should sequels differ from original movies in pre-launch advertising schedule? Lessons from consumers' online search activity," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 116-143.
    22. Thorsten Hennig-Thurau & André Marchand & Barbara Hiller, 2012. "The relationship between reviewer judgments and motion picture success: re-analysis and extension," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(3), pages 249-283, August.
    23. Tirtha Dhar & Guanghui Sun & Charles Weinberg, 2012. "The long-term box office performance of sequel movies," Marketing Letters, Springer, vol. 23(1), pages 13-29, March.

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