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Optimal Data Interval for Estimating Advertising Response

Gerard J. Tellis () and Philip Hans Franses
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Gerard J. Tellis: Marshall School of Business, University of Southern California, Los Angeles, California 40089-0443

Marketing Science, 2006, vol. 25, issue 3, 217-229

Abstract: The abundance of highly disaggregate data (e.g., at five-second intervals) raises the question of the optimal data interval to estimate advertising carryover. The literature assumes that (1) the optimal data interval is the interpurchase time, (2) too disaggregate data causes a disaggregation bias, and (3) recovery of true parameters requires assumption of the underlying advertising process. In contrast, we show that (1) the optimal data interval is what we call , (2) too disaggregate data does not cause any disaggregation bias, and (3) recovery of true parameters does not require assumption of the advertising process but only data at the unit exposure time. These results hold for any linear dynamic model linking sales with current and past advertising.

Keywords: advertising carryover; duration of ad effects; optimal data interval; interpurchase time; interexposure time (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)

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