Article ID: | iaor20071237 |
Country: | Germany |
Volume: | 2 |
Issue: | 4 |
Start Page Number: | 295 |
End Page Number: | 308 |
Publication Date: | Oct 2005 |
Journal: | Computational Management Science |
Authors: | Luati Alessandra, Tassinari Giorgio |
Keywords: | media planning |
The purpose of this paper is to develop an operational method to detect the most effective exposures in the context of a given pulsing advertising campaign. For most effective, are intended those exposures that produce a statistically significant increase in the level of a response variable, either temporarily or permanently. The method consists in specifying an intervention model for the response variable, where the significant exposures are selected on the basis of a probabilistic criterion, and is empirically evaluated by using brandlevel data from five advertising tracking studies that also include the actual spending schedules. Given a pulsing advertising campaign, the proposed method serves both as an a-posteriori improvement of the campaign itself and as an a-priori additional information for programming future scheduling.