A structured breakdown of deploying an MMM solution, covering project initiation, data foundation, modeling, and operationalization based on real-world implementation patterns.
No spam. Technical articles on forecasting, pricing, and decision systems.
Learn how Mixed Integer Programming (MIP) with discretized response curves solves marketing budget allocation problems using branch-and-bound methods.
A practical tutorial implementing causal marketing mix modeling with DoWhy, including code examples and a complete toy dataset
Walk through real-world MMM optimization scenarios using Mixed Integer Programming. See how to discretize response curves, formulate constraints, and solve practical reallocation problems with actual numbers.