The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Long-Term Effects of Price Promotions on Category Incidence, Brand Choice, and Purchase Quantity
Abstract
To what extent do price promotions have a long-term effect on the components of brand sales, namely, category incidence, brand choice, and purchase quantity? The authors answer this question by using persistence modeling on weekly sales data of a perishable and a storable product derived from a scanner panel. Their analysis reveals, first, that permanent promotion effects are virtually absent for each sales component. Next, the authors develop and apply an impulse response approach to estimate the promotional adjustment period and the total dynamic effects of a price promotion. Specifically, they calculate the long-term equivalent of Gupta's (1988) 14/84/2 breakdown of promotional effects. Because of positive adjustment effects for incidence but negative adjustment effects for choice, the authors find a reversal of the importance of category incidence and brand choice: 66/11/23 for the storable product and 58/39/3 for the perishable product. The authors discuss the implications of the findings and suggest some areas for further research.
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Cites
Estimating long-run relationships from dynamic heterogeneous panels
Pesaran, M. H., & Smith, R. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01644-f · Cited by 5,479 · cited 1×
“Although some aggregation bias might result from this procedure (Pesaran and Smith 1995), all consumers are exposed to the same marketing-mix variables, the brands are close substitutes, and the price distribution is not concentrated at an extreme value, which greatly reduces this bias (Allenby and…”
BackgroundSelf-perception: An alternative interpretation of cognitive dissonance phenomena.
Bem, D. J. (1967) · Psychological Review · doi:10.1037/h0024835 · Cited by 2,959
Investigating Household Purchase Timing Decisions: A Conditional Hazard Function Approach
Jain, D. C., & Vilcassim, N. J. (1991) · Marketing Science · doi:10.1287/mksc.10.1.1 · Cited by 270
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Shankar, V., Inman, J. J., Mantrala, M., Kelley, E., & Rizley, R. (2011) · Journal of Retailing · doi:10.1016/j.jretai.2011.04.007 · Cited by 441
New Empirical Generalizations on the Determinants of Price Elasticity
Bijmolt, T. H. A., Van Heerde, H. J., & Pieters, R. G. M. (2005) · Journal of Marketing Research · doi:10.1509/jmkr.42.2.141.62296 · Cited by 440
The Impact of a Product-Harm Crisis on Marketing Effectiveness
Van Heerde, H., Helsen, K., & Dekimpe, M. G. (2007) · Marketing Science · doi:10.1287/mksc.1060.0227 · Cited by 406
Demystifying big data analytics for business intelligence through the Lens of marketing mix
Fan, S., Lau, R. Y. K., & Zhao, J. L. (2015) · Big Data Research · doi:10.1016/j.bdr.2015.02.006 · Cited by 321
de Vries, L., Gensler, S., & Leeflang, P. S. H. (2017) · Journal of Marketing · doi:10.1509/jm.15.0178 · Cited by 260
Metadata
- Authors
- Pauwels, K., Hanssens, D. M., & Siddarth, S.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2002-11
- Volume
- 39
- Issue
- 4
- Pages
- 421-439
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2075887421
- Cited by
- 444
- References
- 3
- FWCI
- 76.86
- Type
- journal article
- Language
- en
- Open access
- closed
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