This article develops a stochastic model of consumer response to new products which incorporates the effects of over-time variations in advertising and promotion. The model's primary usefulness lies in its ability to generate conditional forecasts of product sales to evaluate alternative marketing programs for new product introduction.
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References
1.
AnscombeF. J.“Estimating a Mixed-Exponential Response Law,”Journal of the American Statistical Association, 56(September 1961), 493–502.
2.
BassFrank M.“A New Product Growth Model for Consumer Durables,”Management Science, 15(January 1969), 215–27.
3.
BurgerPhillip C.“Developing Forecasting Models for New Product Introductions,”Proceedings. Fall Conference, American Marketing Association, 1968, 112–8.
4.
FourtLouis A., and WoodlockJoseph W.“Early Prediction of Market Success for New Grocery Products,”Journal of Marketing, 25(October 1960), 31–8.
5.
GouldJohn P.“Diffusion Processes and Optimal Advertising Policy,” in PhelpsE., Micro Economic Foundation of Unemployment and Inflation Theory.New York: W. W. Norton, 1970, 338–68.
6.
HainesGeorge H.Jr.“A Theory of Market Behavior After Innovation,”Management Science, 10(July 1964), 634–58.
7.
MassyWilliam F.“Forecasting the Demand for New Convenience Products,”Journal of Marketing Research, 6(November 1969), 405–12.
8.
MassyWilliam F., MontgomeryDavid B., and MorrisonDonald G.Stochastic Models of Buying Behavior.Cambridge, Mass.: The M.I.T. Press, 1970.
9.
NakanishiMasao. “Consumer Learning in Awareness and Trial of New Products,”Proceedings. 2nd Annual Conference,Association for Consumer Research, 1971, 186–96.
10.
ParfitJ. H., and CollinsB. J. K.“The Use of Consumer Panels for Brand Share Prediction,”Journal of Marketing Research, 5(May 1968), 131–46.