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Modeling efforts in the area of new product introductions have had a significant impact on marketing planning and strategy. One result of these efforts, BBDO's New Product Early Warning System (NEWS), has been used since the late 1960s to provide marketing managers with forecasts and diagnostic information regarding their new product strategies. This article presents the specification of the NEWS model, its parameter estimation methods, and its validation. A brief case history is also included which illustrates how the model is applied in a typical new product situation. NEWS is designed to use a variety of readily obtainable input data to generate forecasts of consumer awareness, trial, repeat purchase, usage, sales, and market share for a new brand. These outputs, combined with diagnostics from the model, can then be incorporated into the marketing plan in a way that will improve the new entry's chances of success in the marketplace. The model can be used to project early test market data (NEWS/Market); or it can be used to analyze pre-test market data (NEWS/Planner).
Pringle et al. (Mon,) studied this question.
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