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Measuring short‐ and long‐run promotional effectiveness on scanner data using persistence modelling
Author(s) -
Dekimpe Marnik G.,
Hanssens Dominique M.,
Nijs Vincent R.,
Steenkamp JanBenedict E. M.
Publication year - 2005
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.581
Subject(s) - persistence (discontinuity) , econometrics , computer science , equity (law) , value (mathematics) , short run , product (mathematics) , economics , microeconomics , machine learning , engineering , mathematics , geometry , geotechnical engineering , political science , law
The use of price promotions to stimulate brand and firm performance is increasing. We discuss how (i) the availability of longer scanner data time series, and (ii) persistence modelling, have lead to greater insights into the dynamic effects of price promotions, as one can now quantify their immediate, short‐run, and long‐run effectiveness. We review recent methodological developments, and illustrate how the analysis of numerous brands and product categories has resulted in various empirical generalizations. Finally, we argue that persistence modelling should not only be applied to traditional performance metrics such as sales, but also to metrics such as firm value and customer equity. Copyright © 2005 John Wiley & Sons, Ltd.