To provide suggestions for overall budget allocations from ROI modeling, based on ROI from each media channel from historical spends
Execute manual data loading and adjustments through UI to complement the automated ETL process for handling ad hoc data
Review the accuracy and comprehensiveness of modeling inputs using visual review tools
Create, test, save, and customize MMM models without the need for coding
Perform “What-if” scenario testing and optimize marketing plans
Conduct forecasting and variance analysis to track progress against planned outcomes
Recommendations provided to re-allocate budgets across digital and offline platforms based on ROIs and effectiveness of platforms
018% potential uplift in incremental revenues based on recommended budget re-allocations across media