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Erschienen in: Marketing Letters 2/2014

01.06.2014

Modeling advertising impact at campaign level: Empirical generalizations relative to long-term advertising profit contribution and its antecedents

verfasst von: Philippe Aurier, Anne Broz-Giroux

Erschienen in: Marketing Letters | Ausgabe 2/2014

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Abstract

Research on advertising effectiveness is focused on sales and provides few empirical generalizations on profitability and its antecedents. To fill this gap, we develop an econometric model to capture the impact of advertising at campaign level, using retail panel data coupled with TV audience tracking data. Our study involves 31 brands from six packaged goods categories observed weekly and nationally over 4 years and representing 264 TV campaigns. Although we confirm empirical generalizations on the capacity of advertising to increase sales, we establish a different picture for profitability. Only 11 % of campaigns make a positive contribution to profit. Advertising is more profitable for challengers and medium brands, whereas leaders and small brands (recent or established) have a lower profitability. Advertising intensity in the category and campaign carry-over emerge as the strongest (respectively) negative and positive drivers of profitability. The antecedents of carry-over are also analyzed and discussed.

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Fußnoten
1
Thus, the right-hand side of Eq. 1 accounts for marketing mix variables of all brands in the category, and not only those of focal or advertised brands.
 
2
All advertised brands in the category, i.e., not limited to the modeled brands.
 
3
After eliminating campaigns already launched before the beginning of the modeling period or still ongoing at the end. NB: successful campaigns are considered when their carry-over is terminated. This means that national weekly increments lower than 5/1,000 of the total increment or lower than 500 units of volume were set to zero, in order to shorten the distribution queues of incremental sales. However, these queues are sometimes very long and make it impossible to include the campaign in the period analyzed, thereby reducing sample size.
 
4
This model has a similar structure to brand choice and purchased quantity models estimated in a two-step procedure (see for example Jedidi et al. 1999). Here, the Poisson distribution is used because carry-over constitutes count data.
 
5
Commercials are identified using artificial intelligence and priced on the basis of tariff grids applied by the corresponding media. This indicator does not take into account the fixed expenditure associated with copy creation, nor the possible annual discount on purchased space, which were unknown.
 
6
ILEC (French National Institute on Consumption Industry Studies): “Margins Observatory”.
 
7
EBITDA: Earnings Before Interest, Taxes, Depreciation, and Amortization. Financial statements were extracted from the Diane databases.
 
8
R 2 associated with the two-step least square estimators which serve as starting values for the maximum likelihood procedure.
 
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Metadaten
Titel
Modeling advertising impact at campaign level: Empirical generalizations relative to long-term advertising profit contribution and its antecedents
verfasst von
Philippe Aurier
Anne Broz-Giroux
Publikationsdatum
01.06.2014
Verlag
Springer US
Erschienen in
Marketing Letters / Ausgabe 2/2014
Print ISSN: 0923-0645
Elektronische ISSN: 1573-059X
DOI
https://doi.org/10.1007/s11002-013-9252-3

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