Abstract
“Buzz” during the period leading up to commercial release is commonly cited as a critical success factor for new products. But what exactly is buzz? Based on an extensive literature review and findings from a theories-in-use study (consumer depth interviews and focus groups), the authors argue that pre-release consumer buzz (PRCB) is not just a catchword or a synonym for “word of mouth” but is a distinct construct for which a precise, shared conceptual understanding is notably absent. The authors define PRCB as the aggregation of observable expressions of anticipation by consumers for a forthcoming new product; they conceptualize the construct as being manifested in three distinct types of behaviors (communication, search, and participation in experiential activities) along two dimensions (amount and pervasiveness). PRCB is unique because prior to, versus after, a product’s release, (1) differing information is available, (2) differing mental processes occur, and (3) consumers’ behaviors have differing effects on other consumers, affecting diffusion differently. A quantitative study using secondary data for 254 new products illustrates the performance of the theory-based conceptualization.
Similar content being viewed by others
Notes
Our review included: AMJ, AMR, Advances in Consumer Research, Business Horizons, IJRM, Journal of Advertising, Journal of Advertising Research, JCR, Journal of Cultural Economics, Journal of Interactive Marketing, JM, JMR, Journal of Popular Culture, JPIM, JPP&M, Journal of Retailing, JAMS, Management Science, Marketing Letters, Marketing Science, MIS Quarterly, Public Relations Quarterly, and QME.
Movies, video games, and performing arts represent hedonic product categories that mainly provide distraction, entertainment, and social benefits (Hirschman and Holbrook 1982). Automobiles and mobile phones are more utilitarian, providing functional benefits of transportation and communication; certain cars and phones also provide hedonic benefits (e.g., driving pleasure). Hirschman and Holbrook (1982) observe that experiences differ when consuming hedonic products in the fine arts realm versus from popular culture; thus, we included performing arts.
This methodological choice is also consistent with our interest in the predictive performance of PRCB and its formative specification (Hair et al. 2011).
Out of the different studio action indicators, budget, distribution strategy, sequel, and bestseller adaptation all have positive significant outer weights to studio actions; age-restriction, star, and remake do not (see e.g., Clement et al. 2014, Divakaran et al. 2017, Bohnenkamp et al. 2015 for similar results patterns).
References
Bagozzi, R. P., Dholakia, U. M., & Basuroy, S. (2003). How Effortful Decisions Get Enacted: The Motivating Role of Decision Process, Desires, and Anticipated Emotions. Journal of Behavioral Decision Making, 15, 273–295.
Bass, F. M. (1969). A New Product Growth Model for Consumer Durables. Management Science, 15, 25–227.
Bendapudi, N., & Leone, R. P. (2002). Managing Business-to-Business Customer Relationships Following Key Contact Employee Turnover in a Vendor Firm. Journal of Marketing, 66, 83–101.
Biemans, W., Griffin, A., & Moenaert, R. (2010). In Search of the Classics: A Study of the Impact of JPIM Papers from 1984 to 2003. Journal of Product Innovation Management, 27, 461–484.
Bohnenkamp, B., Knapp, A.-K., Hennig-Thurau, T., & Schauerte, R. (2015). When Does it Make Sense to Do it Again? An Empirical Investigation of Contingency Factors of Movie Remakes. Journal of Cultural Economics, 39, 15–41.
Bollen, K., & Lennox, R. (1991). Conventional Wisdom on Measurement: A Structural Equation Perspective. Psychological Bulletin, 110, 305–314.
Broekhuizen, T. L. J., Delre, S. A., & Torres, A. (2011). Simulating the Cinema Market: How Cross-Cultural Differences in Social Influence Explain Box Office Distributions. Journal of Product Innovation Management, 28, 204–217.
Campbell, A., Mayzlin, D., & Shin, J. (2017). Managing Buzz. RAND Journal of Economics, 48, 203–229.
Campbell, C. (1987). The Romantic Ethic and the Spirit of Modern Consumerism. London: Blackwell.
Chen, H., Hu, Y.J., and Smith, M.D. (2017), The Impact of Ebook Distribution on Print Sales: Analysis of a Natural Experiment, Management Science, forthcoming.
Chen, Y., Liu, Y., & Zhang, J. (2012). When Do Third-Party Product Reviews Affect Firm Value and What Can Firms Do? The Case of Media Critics and Professional Movie Reviews. Journal of Marketing, 76, 116–134.
Chun, H. E. H., Diehl, K., & MacInnis, D. (2017). Savoring an Upcoming Experience Affects Ongoing and Remembered Consumption Enjoyment. Journal of Marketing, 81, 96–110.
Clement, M., Wu, S., & Fischer, M. (2014). Empirical Generalizations of Demand and Supply Dynamics for Movies. International Journal of Research in Marketing, 31, 207–223.
Craig, C. S., Greene, W. H., & Versaci, A. (2015). E-Word of Mouth: Early Predictor Of Audience Engagement—How Pre-Release ‘E-WOM’ Drives Box-Office Outcomes of Movies. Journal of Advertising Research, 55, 62–72.
D’Alessandro, A. (2015), “How Strong is Your Film’s Buzz? Rentrak’s PreAct Can Tell You – CinemaCon,” Deadline. Retrieved April 24, 2015 from http://deadline.com/2015/04/pitch-perfect-2-insidious-chapter-3-southpaw-rentrak-uta-preact-film-campaigns-1201414615/.
Dellarocas, C., Zhang, X. M., & Awad, N. F. (2007). Exploring the Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures. Journal of Interactive Marketing, 21, 23–45.
de Matos, C. A., & Rossi, C. A. V. (2008a). Word-of-Mouth Communications in Marketing: A Meta-Analytic Review of the Antecedents and Moderators. Journal of the Academy of Marketing Science, 36, 578–596.
Dewan, S., & Ramaprasad, J. (2014). Social Media, Traditional Media, and Music Sales. MIS Quarterly, 38, 101–121.
Dhar, V., & Chang, E. A. (2009). Does Chatter Matter? The Impact of User-Generated Content on Music Sales. Journal of Interactive Marketing, 23, 300–307.
Dichter, E. (1966). How Word-of-Mouth Advertising Works. Harvard Business Review, 44, 147–160.
Divakaran, P. K. P., Palmer, A., Søndergaard, H. A., & Matkovskyy, R. (2017). Pre-launch Prediction of Market Performance for Short Lifecycle Products Using Online Community Data. Journal of Interactive Marketing, 38, 12–28.
Elberse, A., & Eliashberg, J. (2003). Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures. Marketing Science, 22, 329–354.
Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1993). Consumer Behavior (8th ed.). Fort Worth: Dryden.
Facebook. (2017), “Facebook Reports Second Quarter 2017 Results,” Retrieved September 21, 2017, from https://s21.q4cdn.com/399680738/files/doc_financials/2017/Q2/FB-Q2'17-Earnings-Release.pdf.
Fahey, Mark (2015), How to Know When a Summer Movie Will Flop, CNBC, May 29, 2015. Retrieved September 14, 2017, from https://www.cnbc.com/2015/05/29/how-to-know-when-a-movie-will-flop-.html.
Freedman, N. (2015), How Social Media is Changing Hollywood, Digital America, April 6, 2015. Retrieved April 26, 2017, from http://www.digitalamerica.org/how-social-media-is-changing-hollywood-nicola-freedman/.
Gibbs, Samuel. (2017), “iPhone 8: Muted Reaction and Small Queues Lead to Questions Over Demand.” Retrieved on September 23, 2017 from http://theguardian.com/technology/2017/sep/22/iphone-8-small-queues-muted-reaction-questions-demand-iphone-x.
Godes, D., & Mayzlin, D. (2004). Using Online Conversations to Study Word-of-Mouth Communication. Marketing Science, 23, 545–560.
Google. (2014), Year in Search 2014, Google Trends. Retrieved March 10, 2017 from www.google.com/trends/2014/.
Griskevicius, V., Goldstein, N. J., Mortensen, C. R., Sundie, J. M., Cialdini, R. B., & Kenrick, D. T. (2009). Fear and Loving in Las Vegas: Evolution, Emotion, and Persuasion. Journal of Marketing Research, 46, 384–395.
Hair, J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (2nd ed.). Los Angeles: Sage.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19, 139–152.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of Marketing Science, 40, 414–433.
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic Word-of-Mouth Via Consumer Opinion Platforms: What Motivates Consumers to Articulate Themselves on the Internet? Journal of Interactive Marketing, 18, 38–52.
Hennig-Thurau, T., Houston, M. B., & Heitjans, T. (2009). Conceptualizing and Measuring the Monetary Value of Brand Extensions: The Case of Motion Pictures. Journal of Marketing, 73, 167–183.
Hennig-Thurau, T., Houston, M. B., & Sridhar, S. (2006). Can Good Marketing Carry a Bad Product? Evidence from the Motion Picture Industry. Marketing Letters, 17, 205–219.
Hennig-Thurau, T., Marchand, A., & Hiller, B. (2012). The Relationship between Reviewer Judgments and Motion Picture Success: Re-analysis and Extension. Journal of Cultural Economics, 36, 249–283.
Hennig-Thurau, T., Wiertz, C., & Feldhaus, F. (2015). Does Twitter Matter? The Impact of Microblogging Word of Mouth on Consumers’ Adoption of New Movies. Journal of the Academy of Marketing Science, 43, 375–394.
Hewett, K., Rand, W., Rust, R. T., & Van Heerde, H. J. (2016). Brand Buzz in the Echoverse. Journal of Marketing, 80, 1–24.
Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic Consumption: Emerging Concepts, Methods and Propositions. Journal of Marketing, 46, 92–101.
Hirschman, E. C. (1980). Innovativeness, Novelty Seeking, and Consumer Creativity. Journal of Consumer Research, 7, 283–295.
Ho, J. Y. C., Dhar, T., & Weinberg, C. B. (2009). Playoff Payoff: Super Bowl Advertising for Movies. International Journal of Research in Marketing, 26, 168–179.
Holbrook, M. B., & Addis, M. (2008). Art versus Commerce in the Movie Industry: A Two-Path Model of Motion-Picture Success. Journal of Cultural Economics, 32, 87–107.
JoBlo. (2017). Retrieved March 10, 2017 from http://www.joblo.com/forums/.
Karniouchina, E. V. (2011a). Impact of Star and Movie Buzz on Motion Picture Distribution and Box Office Revenue. International Journal of Research in Marketing, 28, 62–74.
Karniouchina, E. V. (2011b). Are Virtual Markets Efficient Predictors of New Product Success? The Case of the Hollywood Stock Exchange. Journal of Product Innovation Management, 28, 470–484.
Kaye, D. (2010), “4 Films that Failed to Live Up to their Blockbuster Comic-Con Buzz,” Blastr.com. Retrieved February 10, 2015 from http://www.blastr.com/2010/12/4_comic_con_buzz_movies_t.php.
Kirmani, A., & Rao, A. R. (2000). No Pain, No Gain: A Critical Review of the Literature on Signaling Unobservable Product Quality. Journal of Marketing, 64, 66–79.
Liu, Y. (2006). Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue. Journal of Marketing, 70, 74–89.
Luce, M. F. (1998). Choosing to Avoid: Coping with Negatively Emotion-Laden Consumer Decisions. Journal of Consumer Research, 24, 409–433.
MacInnis, D. J. (2011). A Framework for Conceptual Contributions in Marketing. Journal of Marketing, 75, 136–154.
MacInnis, D. J., & de Mello, G. E. (2005). The Concept of Hope and Its Relevance to Product Evaluation and Choice. Journal of Marketing, 69, 1–14.
Martin, Joe (2015), “Adobe Digital Index Movie Prediction Mid-Summer Update.” Retrieved August 6, 2015 from http://blogs.adobe.com/difitalmarketing/social-media/adobe-digital-index-movie-prediction-mid-summer-update/.
McCracken, G. (1988). The Long Interview. Newbury Park: Sage Publications.
Meenaghan, T., McLoughlin, D., & McCormack, A. (2013). New Challenges in Sponsorship Evaluation Actors, New Media, and the Context of Praxis. Psychology & Marketing, 30, 444–460.
Mestyán, M., Yasseri, T., & Kertész, J. (2013). Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data. PLoS One, 8, e71226.
Mizik, N., & Jacobson, R. (2008). The Financial Value Impact of Perceptual Brand Attributes. Journal of Marketing Research, 45, 15–32.
Mlodinow, L. (2006), “Meet Hollywood’s Latest Genius,” LA Times, July 2, 2006. Retrieved September 14, 2017, from http://econweb.ucsd.edu/~vcrawfor/la-tm-random27jul02,1,1850294,full.story.html.
Moulard, J. G., Kroff, M. W., & Garretson, J. A. (2012). Unraveling Consumer Suspense: The Role of Hope, Fear, and Probability Fluctuations. Journal of Business Research, 65, 340–346.
Movie Fan Central (2017), “Welcome to Movie Fan Central: Where Movie Fans Roam.” Retrieved April 15, 2017 from http://www.moviefancentral.com/.
Muller, E., Peres, R., & Mahajan, V. (2009). Innovation Diffusion and New Product Growth. Cambridge: Marketing Science Institute.
Okazaki, S. (2009). The Tactical Use of Mobile Marketing: How Adolescents’ Social Networking Can Best Shape Brand Extensions. Journal of Advertising Research, 49, 12–26.
Peres, R., Muller, E., & Mahajan, V. (2010). Innovation diffusion and new product growth models: A critical review and research directions. International Journal of Research in Marketing, 27, 91–106.
Siefert, C. J., Kothuri, R., Jacobs, D. B., Levine, B., Plummer, J., & Marci, C. D. (2009). Winning the Super ‘Buzz’ Bowl: How Biometrically-Based Emotional Engagement Correlates with Online Views and Comments for Super Bowl Advertisements. Journal of Advertising Research, 49, 293–303.
Srinivasan, S., Rutz, O. J., & Pauwels, K. (2015). Paths to and off Purchase: Quantifying the Impact of Traditional Marketing and Online Consumer Activity. Journal of the Academy of Marketing Science, 44, 440–453.
Sundaram, D. S., Mitra, K., & Webster, C. (1998). Word-of-Mouth Communications: A Motivational Analysis. Advances in Consumer Research, 25, 527–531.
Tang, T., Fang, E., & Wang, F. (2014). Is Neutral Really Neutral? The Effects of Neutral User-Generated Content on Product Sales. Journal of Marketing, 78, 41–58.
The Street. (2012); “5 Big-Buzz IPOs That Disappointed,” Forbes. Retrieved April 21, 2017, from https://www.forbes.com/sites/thestreet/2012/01/25/5-big-buzz-ipos-that-disappointed/#74eb819e75a1.
Thompson, C. J. (1997). Interpreting Consumers: A Hermeneutical Framework for Deriving Marketing Insights from the Texts of Consumers' Consumption Stories. Journal of Marketing Research, 34, 438–455.
Thompson, C. J., Locander, W. B., & Pollio, H. R. (1989). Putting Consumer Experience Back into Consumer Research: The Philosophy and Method of Existential-Phenomenology. Journal of Consumer Research, 16, 133–146.
Tuli, K. R., Kohli, A. K., & Bharadwaj, S. G. (2007). Rethinking Customer Solutions: From Product Bundles to Relational Processes. Journal of Marketing, 71, 1–17.
Twitter. (2017), “About Twitter.” Retrieved March 10, 2017 from https://about.twitter.com/company.
Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the Hedonic and Utilitarian Dimensions of Consumer Attitude. Journal of Marketing Research, 40, 310–320.
Wikipedia. (2017), “Wikipedia:About.” Retrieved March 10, 2017 from en.wikipedia.org/wiki/wikipedia:about.
Wiles, M. A., & Danielova, A. (2009). The Worth of Product Placement in Successful Films: An Event Study Analysis. Journal of Marketing, 73, 44–63.
Wise, D. (2013), “IMDb – The Mecca for Movie Buffs,” OneClickRoute. Retrieved April 15, 2017 from http://www.oneclickroot.com/reviews/imdb-the-mecca-for-movie-buffs/.
Xiong, G., & Bharadwaj, S. (2014). Prerelease Buzz Evolution Patterns and New Product Performance. Marketing Science, 33, 401–421.
Zaltman, G., LeMasters, K., & Heffring, M. (1982). Theory Construction in Marketing. New York: John Wiley & Sons.
Acknowledgements
The authors thank Bernd Skiera for his contributions to this project and Peter Bloch, Chris Blocker, Markus Giesler, Marsha Richins, Marko Sarstedt, Srihari Sridhar, Caroline Wiertz, Chris White, and Eric Yorkston for constructive criticism on earlier versions of this manuscript. The first author gratefully acknowledges financial support from the TCU Neeley School of Business Research Grant fund.
Author information
Authors and Affiliations
Corresponding author
Additional information
Dhruv Grewal served as Area Editor for this article.
Appendix
Appendix
Rights and permissions
About this article
Cite this article
Houston, M.B., Kupfer, AK., Hennig-Thurau, T. et al. Pre-release consumer buzz. J. of the Acad. Mark. Sci. 46, 338–360 (2018). https://doi.org/10.1007/s11747-017-0572-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11747-017-0572-3