A Deeper Understanding of Optimization For Improved Profitability and Efficiency

To help improve marketing efficiency and determine the right level of activities or resources that maximize benefits and minimize costs, our Optimization Analysis process starts with Marketing Mix Modeling results to produce results and insights on a brand basis, across a portfolio of brands or for a portfolio of brands across countries.

Next, using the outputs from the Marketing Mix Modeling phase, we continue the optimization process, by using optimization techniques such as Linear Programming, Quadratic Programming and Mixed Integer Programming, as well as advanced optimization techniques such as Non-Linear Programming, Dynamic Programming and Stochastic Programming.

As a result of our in-depth analysis, sales response curves deliver deep understanding of business performance and highlight the issues related to resource allocation. But, we go farther to illuminate the way forward with the inclusion of limitations placed on resources.

Since sales data, cost data and resource limitations are incorporated into the analyses, our iterative, multi-layered approach to Optimization reveals the correct deployment of resources in a constrained environment to help you better plan, forecast, create pricing strategy and reallocate scarce marketing and sales resources for improved efficiency. The result is a quantifiable leap in business performance and the most efficient use of scarce resources.

To find out more about Optimization, contact us.