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Multiperiod Multiproduct Advertising Budgeting: Stochastic Optimization Modeling

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  • Beltran-Royo, C.
  • Escudero, L.F.
  • Zhang, H.

Abstract

We propose a stochastic optimization model for the Multiperiod Multiproduct Advertising Budgeting problem, so that the expected profit of the advertising investment is maximized. The proposed model is a convex optimization problem that can readily be solved by plain use of standard optimization software. It has been tested in a case study derived from a real advertising campaign. In the case study, the expected profit of the stochastic approach has been favorably compared with the expected profit of the deterministic approach. This provides a quantitative argument in favor of the stochastic approach for managerial decision making in a data-driven framework.

Suggested Citation

  • Beltran-Royo, C. & Escudero, L.F. & Zhang, H., 2016. "Multiperiod Multiproduct Advertising Budgeting: Stochastic Optimization Modeling," Omega, Elsevier, vol. 59(PA), pages 26-39.
    • Handle: RePEc:eee:jomega:v:59:y:2016:i:pa:p:26-39
    DOI: 10.1016/j.omega.2015.02.013
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    References listed on IDEAS

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    1. Zhang, Jie & Kevin Chiang, Wei–yu & Liang, Liang, 2014. "Strategic pricing with reference effects in a competitive supply chain," Omega, Elsevier, vol. 44(C), pages 126-135.
    2. Peter Kall & János Mayer, 2005. "Stochastic Linear Programming," International Series in Operations Research and Management Science, Springer, number 978-0-387-24440-2, December.
    3. Peter Doyle & John Saunders, 1990. "Multiproduct Advertising Budgeting," Marketing Science, INFORMS, vol. 9(2), pages 97-113.
    4. Danaher, Peter J. & Rust, Roland T., 1996. "Determining the optimal return on investment for an advertising campaign," European Journal of Operational Research, Elsevier, vol. 95(3), pages 511-521, December.
    5. Huang, Jian & Leng, Mingming & Liang, Liping, 2012. "Recent developments in dynamic advertising research," European Journal of Operational Research, Elsevier, vol. 220(3), pages 591-609.
    6. Bhattacharya, U.K., 2009. "A chance constraints goal programming model for the advertising planning problem," European Journal of Operational Research, Elsevier, vol. 192(2), pages 382-395, January.
    7. Du, Rong & Hu, Qiying & Ai, Shizhong, 2007. "Stochastic optimal budget decision for advertising considering uncertain sales responses," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1042-1054, December.
    8. Deane, Jason & Agarwal, Anurag, 2012. "Scheduling online advertisements to maximize revenue under variable display frequency," Omega, Elsevier, vol. 40(5), pages 562-570.
    9. Deza, Antoine & Huang, Kai & Metel, Michael R., 2015. "Chance constrained optimization for targeted Internet advertising," Omega, Elsevier, vol. 53(C), pages 90-96.
    10. Li, Susan X. & Huang, Zhimin & Zhu, Joe & Chau, Patrick Y. K., 2002. "Cooperative advertising, game theory and manufacturer-retailer supply chains," Omega, Elsevier, vol. 30(5), pages 347-357, October.
    11. Beltran-Royo, C. & Zhang, H. & Blanco, L.A. & Almagro, J., 2013. "Multistage multiproduct advertising budgeting," European Journal of Operational Research, Elsevier, vol. 225(1), pages 179-188.
    12. S. Sriram & Manohar U. Kalwani, 2007. "Optimal Advertising and Promotion Budgets in Dynamic Markets with Brand Equity as a Mediating Variable," Management Science, INFORMS, vol. 53(1), pages 46-60, January.
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