Changes over time in consumer demand, influenced by advertising, may not be accounted for in traditional, fixed parameter explanatory and forecasting models. A distributed lagged advertising model was developed and tested with coefficients that had random and systematic adjustments. A variable coefficient model clearly captured the dynamic effects of advertising on consumer demand.