Marketing Science8 min read
Part 2 | Beyond Attribution: How Causal Inference complements Modern MMM
Exploring structural causal models using DAGs, counterfactual reasoning, and frameworks like DoWhy and PyMC-Marketing
Cyril Noirot
August 20, 2025
Exploring structural causal models using DAGs, counterfactual reasoning, and frameworks like DoWhy and PyMC-Marketing
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.