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Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
This project focuses on modeling campaign performance data for Looker, helping determine which campaigns to scale up or cut back. It aggregates metrics over the last 7 and 30 days, providing actionable insights for budget optimization and performance improvement.
I use MS Excel to develop a linear maximization model for allocating a fine dining restaurant's promotion budget across Facebook, Groupon, and Yelp to maximize audience exposure while adhering to budgetary and service capacity constraints.