Can good marketing carry a bad product? Evidence from the motion picture industry

We examine the relative roles of marketing actions and product quality in determining commercial success. Using the motion picture context, in which product quality is difficult for consumers to anticipate and information on product success is available for different points in time, we model the effects of studio actions and movie quality on a movie’s sales during different phases of its theatrical run. For a sample of 331 recent motion pictures, structural equation modeling demonstrates that studio actions primarily influence early box office results, whereas movie quality influences both short- and long-term theatrical outcomes. The core results are robust across moderating conditions. We identify two data segments with follow-up latent class regressions and explore the degree of studio actions needed to “save” movies of varying quality. We finally offer some implications for research and management.

[1]  Steven M. Shugan,et al.  Film Critics: Influencers or Predictors? , 1997 .

[2]  Donald R. Lehmann,et al.  Sales through Sequential Distribution Channels: An Application to Movies and Videos , 2000 .

[3]  Charles B. Weinberg,et al.  Profits Out of the Picture: Research Issues and Revenue Sources Beyond the North American Box Office (Draft December 19, 2003) , 2003 .

[4]  Charles C. Moul A Concise Handbook of Movie Industry Economics , 2005 .

[5]  Kevin Lane Keller,et al.  Marketing Management -12/E. , 2006 .

[6]  Karl G. Jöreskog,et al.  Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .

[7]  A. Rao,et al.  No Pain, No Gain: A Critical Review of the Literature on Signaling Unobservable Product Quality , 2000 .

[8]  Debabrata Talukdar,et al.  An Empirical Investigation of Signaling in the Motion Picture Industry , 2006 .

[9]  Markus Christen,et al.  Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures , 2003 .

[10]  M. Holbrook Popular Appeal versus Expert Judgments of Motion Pictures , 1999 .

[11]  M. Holbrook,et al.  Using connoisseurs to predict mass tastes , 1989 .

[12]  Suman Basuroy,et al.  How Critical are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets , 2003 .

[13]  Robert E. Krider,et al.  Competitive Dynamics and the Introduction of New Products: The Motion Picture Timing Game , 1998 .

[14]  M. Wedel,et al.  Market Segmentation: Conceptual and Methodological Foundations , 1997 .

[15]  H. Winklhofer,et al.  Index Construction with Formative Indicators: An Alternative to Scale Development , 2001 .

[16]  Charles B. Weinberg,et al.  A Concise Handbook of Movie Industry Economics: Profits out of the Picture: Research Issues and Revenue Sources Beyond the North American Box Office , 2005 .

[17]  Cheryl Burke Jarvis,et al.  A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research , 2003 .

[18]  K. G. J8reskoC,et al.  Simultaneous Factor Analysis in Several Populations , 2007 .

[19]  George A. Akerlof,et al.  The Market for `Lemons , 1970 .

[20]  Morris B. Holbrook,et al.  The Role of Ordinary Evaluations in the Market for Popular Culture: Do Consumers Have “Good Taste”? , 2005 .

[21]  W. Walls,et al.  Uncertainty in the Movie Industry: Does Star Power Reduce the Terror of the Box Office? , 1999 .

[22]  R. P. McDonald,et al.  Structural Equations with Latent Variables , 1989 .