Multistage multiproduct advertising budgeting
AbstractWe propose and analyze an effective model for the Multistage Multiproduct Advertising Budgeting problem. This model optimizes the advertising investment for several products, by considering cross elasticities, different sales drivers and the whole planning horizon. We derive a simple procedure to compute the optimal advertising budget and its optimal allocation. The model was tested to plan a realistic advertising campaign. We observed that the multistage approach may significantly increase the advertising profit, compared to the successive application of the single stage approach.
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Bibliographic InfoArticle provided by Elsevier in its journal European Journal of Operational Research.
Volume (Year): 225 (2013)
Issue (Month): 1 ()
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Web page: http://www.elsevier.com/locate/eor
Marketing; Advertising budgeting; Market response models; Convex programming; Multistage optimization;
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- Buratto, Alessandra & Grosset, Luca & Viscolani, Bruno, 2006. "Advertising a new product in a segmented market," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1262-1267, December.
- Swami, Sanjeev & Dutta, Arindam, 2010. "Advertising strategies for new product diffusion in emerging markets: Propositions and analysis," European Journal of Operational Research, Elsevier, vol. 204(3), pages 648-661, August.
- Prasad A. Naik & Murali K. Mantrala & Alan G. Sawyer, 1998. "Planning Media Schedules in the Presence of Dynamic Advertising Quality," Marketing Science, INFORMS, vol. 17(3), pages 214-235.
- Peter Doyle & John Saunders, 1990. "Multiproduct Advertising Budgeting," Marketing Science, INFORMS, vol. 9(2), pages 97-113.
- Sundaram,Rangarajan K., 1996. "A First Course in Optimization Theory," Cambridge Books, Cambridge University Press, number 9780521497701, April.
- Sundaram,Rangarajan K., 1996. "A First Course in Optimization Theory," Cambridge Books, Cambridge University Press, number 9780521497190, April.
- Frank M. Bass & Norris Bruce & Sumit Majumdar & B. P. S. Murthi, 2007. "Wearout Effects of Different Advertising Themes: A Dynamic Bayesian Model of the Advertising-Sales Relationship," Marketing Science, INFORMS, vol. 26(2), pages 179-195, 03-04.
- Ahmadi-Javid, Amir & Hoseinpour, Pooya, 2012. "On a cooperative advertising model for a supply chain with one manufacturer and one retailer," European Journal of Operational Research, Elsevier, vol. 219(2), pages 458-466.
- Luca Grosset & Bruno Viscolani, 2004. "Advertising for a new product introduction: A stochastic approach," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 12(1), pages 149-167, June.
- Alessandra Buratto & Luca Grosset & Bruno Viscolani, 2007. "Advertising coordination games of a manufacturer and a retailer while introducing a new product," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 15(2), pages 307-321, December.
- Prasad A. Naik & Kalyan Raman & Russell S. Winer, 2005. "Planning Marketing-Mix Strategies in the Presence of Interaction Effects," Marketing Science, INFORMS, vol. 24(1), pages 25-34, June.
- 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.
- Wierenga, Berend, 1981. "Modelling impact of advertising and optimizing advertising policy: an application in recreation," European Journal of Operational Research, Elsevier, vol. 8(3), pages 235-248, November.
- 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.
- John D. C. Little, 2004. "Models and Managers: The Concept of a Decision Calculus," Management Science, INFORMS, vol. 50(12_supple), pages 1841-1853, December.
- Alessandra Buratto & Luca Grosset, 2006. "A communication mix for an event planning: a linear quadratic approach," Central European Journal of Operations Research, Springer, vol. 14(3), pages 247-259, September.
- Petr Mariel & Joel Sandonis, 2004. "A model of advertising with application to the German automobile industry," Applied Economics, Taylor & Francis Journals, vol. 36(1), pages 83-92.
- Mesak, Hani I. & Calloway, James A., 1995. "A pulsing model of advertising competition: A game theoretic approach, part A -- Theoretical foundation," European Journal of Operational Research, Elsevier, vol. 86(2), pages 231-248, October.
- 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.
- Fred M. Feinberg, 2001. "On Continuous-Time Optimal Advertising Under S-Shaped Response," Management Science, INFORMS, vol. 47(11), pages 1476-1487, November.
- 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.
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