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Periodic Advertising Pulsing in a Competitive Market

Author

Listed:
  • Marshall Freimer

    (William E. Simon Graduate School of Business Administration, University of Rochester, Rochester, New York 14627)

  • Dan Horsky

    (William E. Simon Graduate School of Business Administration, University of Rochester, Rochester, New York 14627)

Abstract

The question as to the optimality of advertising pulsing has attracted many researchers over the last half-century. In this paper we specify a market share model in which there are two advertising-setting firms as well as a no-purchase option. The framework is that of a first-order Markov process with three states. The objective of both firms is to maximize profits. We are able to demonstrate, for a diminishing returns advertising function, that the optimal advertising strategy is pulsing. The frequency of the advertising pulse is shown to depend on the magnitude of the market share retention rate (state dependence); the higher it is, the less frequent the advertising. We further find that the optimal advertising budgets do not remain the same when the frequency of pulsing changes. Finally, we show that it is optimal for both firms to advertise in phase.

Suggested Citation

  • Marshall Freimer & Dan Horsky, 2012. "Periodic Advertising Pulsing in a Competitive Market," Marketing Science, INFORMS, vol. 31(4), pages 637-648, July.
  • Handle: RePEc:inm:ormksc:v:31:y:2012:i:4:p:637-648
    DOI: 10.1287/mksc.1120.0712
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    References listed on IDEAS

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    2. Gijsenberg, Maarten & Nijs, Vincent R., 2018. "Advertising Timing," Research Report 2018004-MARK, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    3. Yanwu Yang & Baozhu Feng & Joni Salminen & Bernard J. Jansen, 2022. "Optimal advertising for a generalized Vidale–Wolfe response model," Electronic Commerce Research, Springer, vol. 22(4), pages 1275-1305, December.
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    5. Li, Xiaolin & Rao, Raghunath Singh & Narasimhan, Om & Gao, Xing, 2022. "Stay positive or go negative? Memory imperfections and messaging strategy," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1127-1149.
    6. Ambarish Chandra & Matthew Weinberg, 2018. "How Does Advertising Depend on Competition? Evidence from U.S. Brewing," Management Science, INFORMS, vol. 64(11), pages 5132-5148, November.
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    9. Ivan A. Guitart & Guillaume Hervet & Sarah Gelper, 2020. "Competitive advertising strategies for programmatic television," Journal of the Academy of Marketing Science, Springer, vol. 48(4), pages 753-775, July.
    10. Mesak, Hani Ibrahim & Bari, Abdullahel & Lian, Qin, 2015. "Pulsation in a competitive model of advertising-firm's cost interaction," European Journal of Operational Research, Elsevier, vol. 246(3), pages 916-926.
    11. Marc Fischer & Hyun S. Shin & Dominique M. Hanssens, 2016. "Brand Performance Volatility from Marketing Spending," Management Science, INFORMS, vol. 62(1), pages 197-215, January.
    12. Gijsenberg, Maarten J. & Nijs, Vincent R., 2019. "Advertising spending patterns and competitor impact," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 232-250.
    13. Cui, Xin & Ji, Xinyuan & Meng, Wei & Song, Qi, 2023. "Product market competition and corporate advertising expenditure: Evidence from a natural experiment," Research in International Business and Finance, Elsevier, vol. 64(C).
    14. Ashwin Aravindakshan & Prasad A. Naik, 2015. "Understanding the Memory Effects in Pulsing Advertising," Operations Research, INFORMS, vol. 63(1), pages 35-47, February.
    15. K. Sudhir & Nathan Yang, 2014. "Exploiting the Choice-Consumption Mismatch: A New Approach to Disentangle State Dependence and Heterogeneity," Cowles Foundation Discussion Papers 1941, Cowles Foundation for Research in Economics, Yale University.
    16. Chaolin Yang & Liang Guo & Sean X. Zhou, 2022. "Customer Satisfaction, Advertising Competition, and Platform Performance," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1576-1594, April.
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    18. Guyt, Jonne, 2015. "Consumer choice models on the effect of promotions in retailing," Other publications TiSEM c310f652-d725-4764-aac7-b, Tilburg University, School of Economics and Management.

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