A Prelaunch Diffusion Model for Evaluating Market Defense Strategies

This paper describes the development and application of a marketing model to help set an incumbent's defensive marketing strategy prior to a new competitor's launch. The management problem addressed is to assess the market share impact of a new entrant in the residential Australian long distance telephone call market and determine the factors that would influence its dynamics and ultimate market appeal.The paper uses probability flow models to provide a framework to generate forecasts and assess the determinants of share loss. We develop models at two levels of complexity to give both simple, robust forecasts and more detailed diagnostic analysis of the effect of marketing actions. The models are calibrated prior to the new entrant's launch, enabling preemptive marketing strategies to be put in place by the defending company. The equilibrium level of consideration of the new entrant was driven by respondents' strength of relationship with the defender and inertia, while trial was more price-based. Continued use of the defender depends on both service factors and price. The rate at which share loss eventuates is negatively related to the defender's perceived responsiveness, saving money being the only reason to switch, and risk aversion.Prelaunch model forecasts, validated six months after launch using both aggregate monthly sales data and detailed tracking surveys, are shown to closely follow the actual evolution of the market. The paper provides a closed-form multistate model of the new entrant's diffusion, a methodology for the prelaunch calibration of dynamic models in practice, and insights into defensive strategies for existing companies facing new entrants.

[1]  D. Reibstein,et al.  Competitive Marketing Behavior in Industrial Markets , 1994 .

[2]  J. Hauser,et al.  Dynamic Analysis of Consumer Response to Marketing Strategies , 1982 .

[3]  John R. Hauser,et al.  Design and marketing of new products , 1980 .

[4]  Gary L. Lilien,et al.  Chapter 2 Explanatory and predictive models of consumer behavior , 1993, Marketing.

[5]  Dick R. Wittink,et al.  Forecasting with Conjoint Analysis , 2001 .

[6]  Allan D. Shocker,et al.  Pretest Market Models: A Critical Evaluation , 1986 .

[7]  John R. Hauser,et al.  Application, predictive test, and strategy implications for a dynamic model of consumer response to marketing , 1982 .

[8]  Glen L. Urban,et al.  Evolutionary Model Building , 1971 .

[9]  Vijay Mahajan,et al.  Chapter 8 New-product diffusion models , 1993, Marketing.

[10]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[11]  T. S. Robertson,et al.  Incumbent Defense Strategies Against New Product Entry , 1997 .

[12]  Joseph J Beshel Defensive marketing strategy in the prescription analgesic market , 1982 .

[13]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[14]  G. Urban,et al.  Pre-Test-Market Evaluation of New Packaged Goods: A Model and Measurement Methodology , 1978 .

[15]  Peter S. Fader,et al.  Forecasting new product trial in a controlled test market environment , 2003 .

[16]  Joaquim P. Marques de Sá,et al.  Applied statistics : using SPSS, STATISTICA, and MATLAB , 2003 .

[17]  John Roberts,et al.  Development and Testing of a Model of Consideration Set Composition , 1991 .

[18]  R. Heeler,et al.  Problems in Predicting New Product Growth for Consumer Durables , 1980 .

[19]  John D. C. Little,et al.  Models and Managers: The Concept of a Decision Calculus , 2016, Manag. Sci..

[20]  T. S. Robertson,et al.  How innovators thwart new entrants into their market , 1991 .

[21]  K. Ravi Kumar,et al.  Supplemental appendices to defensive marketing strategies : an equilibrium analysis based on decoupled response function models , 1987 .

[22]  D. Littler Design and Marketing of New Products , 1981 .

[23]  Scott C. Beardsley,et al.  What's Next for Eastern European Telcos?. (Current Research) , 2002 .