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.

► We propose a multistage version of the multiproduct advertising budgeting problem. ► A multistage version of this problem has not yet been addressed in literature. ► The multistage approach may significantly increase the advertising profit. ► We derive a simple procedure to compute the optimal advertising budget. ► We present a case study derived from a realistic advertising campaign.