Changes in relative price and dealing activity are likely to affect different segments of the market in different ways. A distributed lag model is developed for predicing a firm's market share over a period of weeks from knowledge of the changes in these variables. It is tested on aggregate data for a metropolitan market, and applied to data for three classes of underlying segments. The bases for segmenting the market are by family purchasing characteristic, package size, and channel of distribution.
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