Sales through Sequential Distribution Channels: An Application to Movies and Videos

This article focuses on the sale of a product across channels that are entered sequentially. Using a two-channel model, the authors derive the optimal time to enter the second channel and then obtain a specific parametric solution for movie distributors regarding theater attendance and subsequent sales to video stores. Using data from 35 movies, the authors estimate exponential sales curves for both theater attendance and video rentals and demonstrate how knowledge of the sales parameters in the first channel (theaters) helps predict sales in the second channel (video rentals). Finally, from the movie distributor's perspective, the authors calculate optimal release times based on the model and its estimated parameters. The results suggest that profits would increase if movies were released to video sooner than is the current practice.

[1]  J. M. Jones,et al.  Incorporating distribution into new product diffusion models , 1991 .

[2]  William A. Luksetich,et al.  The cost of producing symphony Orchestra services , 1993 .

[3]  J. Eliashberg,et al.  A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures , 1996 .

[4]  K. Moorthy,et al.  Comment---Managing Channel Profits: Comment , 1987 .

[5]  Fred S. Zufryden,et al.  Linking advertising to box office performance of new film releases - a marketing planning model , 1996 .

[6]  V. Mahajan,et al.  Introduction Strategy for New Products with Positive and Negative Word-of-Mouth , 1984 .

[7]  Donald R. Lehmann,et al.  A Meta-Analysis of Applications of Diffusion Models , 1990 .

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

[9]  Tiiu Lukk Movie Marketing: Opening the Picture and Giving It Legs , 1997 .

[10]  Steven M. Shugan,et al.  Note---Channel of Distribution Profits When Channel Members Form Conjectures , 1988 .

[11]  R. Lal Improving Channel Coordination Through Franchising , 1990 .

[12]  M. Holbrook,et al.  The role of actors and actresses in the success of films: how much is a movie star worth? , 1993 .

[13]  Devavrat Purohit,et al.  What Should You Do When Your Competitors Send in the Clones , 1994 .

[14]  J. Eliashberg,et al.  Modeling goes to Hollywood: predicting individual differences in movie enjoyment , 1994 .

[15]  John A. Norton,et al.  Optimal Entry Timing for a Product Line Extension , 1989 .

[16]  Steven M. Shugan Implicit Understandings in Channels of Distribution , 1985 .

[17]  K. Moorthy Strategic Decentralization in Channels , 1988 .

[18]  J. C. Fisher,et al.  A simple substitution model of technological change , 1971 .

[19]  T CoughlanAnne Competition and Cooperation in Marketing Channel Choice , 1985 .

[20]  A. Coughlan Competition and Cooperation in Marketing Channel Choice: Theory and Application , 1985 .

[21]  Philip M. Parker,et al.  Aggregate diffusion forecasting models in marketing: A critical review , 1994 .

[22]  Barrie R. Nault,et al.  Eating Your Own Lunch: Protection through Preemption , 1995 .

[23]  Charles B. Weinberg,et al.  Silverscreener: a Modeling Approach to Movie Screens Management , 1999 .