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Moderating Factors of Immediate, Gross, and Net Cross-Brand Effects of Price Promotions

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  • Csilla Horváth

    (Institute for Management Research, Radboud University, 6500 HK Nijmegen, The Netherlands)

  • Dennis Fok

    (Econometric Institute, Erasmus University Rotterdam, 3000 DR Rotterdam, The Netherlands)

Abstract

This article examines cross-price promotional effects in a dynamic context. Among other things, we investigate whether previously established findings hold when consumer and competitive dynamics are taken into account. Five main influential effects (asymmetric price effect, neighborhood price effect, asymmetric share effect, neighborhood share effect, and private label versus national brand asymmetry) appear jointly in the second layer of a pooled HB-VEC-VARX model, together with brand- and category-specific variables. This study tests the relative importance of these key factors across three scenarios: with no market dynamics, when only consumer dynamics are considered, and when competitive reactions are also taken into account. The results confirm all five influential effects, even if they are jointly estimated, and consumer and competitive dynamics are taken into account. National brand/private label asymmetry has the strongest influence on the cross-price promotional effects and becomes significantly stronger when consumer and competitive dynamics are taken into account. Dynamic consumer responses and competitive reactions both affect cross-brand price elasticities, and contrary to expectations, competitive reactions accumulate rather than diminish cross-price elasticities. Preemptive switching does occur; i.e., a brand's promotion in period t hurts a competitor's sales in subsequent periods. Our findings are based on an extensive data set. To attain generalizable results, we analyze 33 categories in five stores--that is, 165 store/category combinations.

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  • Csilla Horváth & Dennis Fok, 2013. "Moderating Factors of Immediate, Gross, and Net Cross-Brand Effects of Price Promotions," Marketing Science, INFORMS, vol. 32(1), pages 127-152, July.
  • Handle: RePEc:inm:ormksc:v:32:y:2013:i:1:p:127-152
    DOI: 10.1287/mksc.1120.0748
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    3. Alexander B. Pratt & Stacey G. Robinson & Clay M. Voorhees & Joyce (Feng) Wang & Michael D. Giebelhausen, 2023. "Unintended effects of price promotions: Forgoing competitors’ price promotions strengthens incumbent brand loyalty," Journal of the Academy of Marketing Science, Springer, vol. 51(5), pages 1143-1164, September.
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    5. Pauwels, Koen & Demirci, Ceren & Yildirim, Gokhan & Srinivasan, Shuba, 2016. "The impact of brand familiarity on online and offline media synergy," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 739-753.
    6. Gelper, Sarah & Wilms, Ines & Croux, Christophe, 2016. "Identifying Demand Effects in a Large Network of Product Categories," Journal of Retailing, Elsevier, vol. 92(1), pages 25-39.
    7. Li, W. & Fok, D. & Franses, Ph.H.B.F., 2019. "Forecasting own brand sales: Does incorporating competition help?," Econometric Institute Research Papers EI2019-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Johannes Auer & Dominik Papies, 2020. "Cross-price elasticities and their determinants: a meta-analysis and new empirical generalizations," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 584-605, May.
    9. van Ewijk, Bernadette J. & Gijsbrechts, Els & Steenkamp, Jan-Benedict E.M., 2022. "What drives brands’ price response metrics? An empirical examination of the Chinese packaged goods industry," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 288-312.
    10. Chen, Xu & Wang, Xiaojun, 2015. "Free or bundled: Channel selection decisions under different power structures," Omega, Elsevier, vol. 53(C), pages 11-20.
    11. Philipp Aschersleben & Winfried J. Steiner, 2022. "A semiparametric approach to estimating reference price effects in sales response models," Journal of Business Economics, Springer, vol. 92(4), pages 591-643, May.
    12. Liu, Huan & Lobschat, Lara & Verhoef, Peter C. & Zhao, Hong, 2021. "The effect of permanent product discounts and order coupons on purchase incidence, purchase quantity, and spending," Journal of Retailing, Elsevier, vol. 97(3), pages 377-393.
    13. Desheng Wu, 2017. "Pass-through decision analysis in a supply chain," Annals of Operations Research, Springer, vol. 257(1), pages 297-316, October.

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