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Time-series methods have been available to explain and forecast the behavior of longitudinal variables for several decades. At first, these methods received relatively little attention from marketing model builders and users. A number of obstacles to their more widespread use have recently been attenuated. Most notably, scanner data covering longer time spans have become available and much progress has been made on the important yet difficult problem of assessing long-term marketing effectiveness
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Dekimpe et al. (2000) studied this question.