Media Mix Modeling with PyMC-Marketing. Use when building MMMs, specifying adstock/saturation transformations, setting priors, fitting multidimensional (geo-level) models, computing channel contributions, ROAS, running budget optimization, calibrating with lift tests, or performing sensitivity analysis. Covers the MMM class, GeometricAdstock, LogisticSaturation, BudgetOptimizerWrapper, and ArviZ diagnostics for marketing models.
PyMC-Marketing coding conventions, preferred implementations, and style guidelines.
Create git commits for changes made during the session.
Create a plan based on document research through an interactive, iterative process.
Structure a research based on the user request. Identify what must change in order to complete the task.
Learn how to work in the current folder (repository)
| name | implement |
| description | Create an implementation based on a plan. |
| disable-model-invocation | true |
Based on a plan make an implementation: