Modelling Multi-Causal Data in Promax PX

21 Jun 09

Overview

Understanding the consumer’s response to a promotional activity is the foundation of trade spend management. Shopping is a repetitive requirement for us all. Keeping the pantry stocked and food on the table calls at the fundamentals of our survival instincts. Understanding the replenishment and consumption cycle and the circumstances that shape the pattern of every phase is the quest of the grocery marketer. At its core is the science of statistics. This sound and proven mathematical approach gives the planner an objective and analytical understanding of the past and a methodology with which to predict likely future consumer behaviour.

This paper describes how the modelling capabilities of Promax PX assist the leaders in consumer products to direct their precious trade funds to the heartbeat of the consumer’s response.

While this paper goes into the details of how the solution develops a model, it should be pointed out that this is all happening in the background of the solution. User operation for the statistical modelling module can be simplified down to a one step batch calculation. The only requirement on the user is to click on the calculation icon and the system will automatically determine the best model. The user doesn’t need to configure or design statistical models – they can leave that up to the solution.

Read more about “Modelling Multi-Causal Data in Promax PX” by downloading the complete whitepaper