Multistage multiproduct advertising budgeting
We 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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- 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;Sociedad de Estadística e Investigación Operativa, vol. 15(2), pages 307-321, December.
- 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.
- 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;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 149-167, June.
- 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.
- 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.
- Alessandra Buratto & Luca Grosset, 2006. "A communication mix for an event planning: a linear quadratic approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(3), pages 247-259, September.
- 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.
- Fred M. Feinberg, 2001. "On Continuous-Time Optimal Advertising Under S-Shaped Response," Management Science, INFORMS, vol. 47(11), pages 1476-1487, November.
- Peter Doyle & John Saunders, 1990. "Multiproduct Advertising Budgeting," Marketing Science, INFORMS, vol. 9(2), pages 97-113.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Sundaram,Rangarajan K., 1996. "A First Course in Optimization Theory," Cambridge Books, Cambridge University Press, number 9780521497701, November.
- 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.
- 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.
- Sundaram,Rangarajan K., 1996. "A First Course in Optimization Theory," Cambridge Books, Cambridge University Press, number 9780521497190, November.
- 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.
- 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.
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