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A skeletal notebook used to demo how to construct a Bayesian Marketing Mix Model (MMM), using fictitious data, with PyMC

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Specifying a Bayesian Model in PyMC

This repository contains a skeletal notebook used to demo how to construct a Marketing Mix Model (MMM) with PyMC. In particular, this notebook is used for reference in a series of articles on MMM - see, Marketing Mix Modeling at Qonto Part V: Inputs for a Bayesian model. Links to the other articles in the series can found within this article.

Requirements. You will need to install PyMC - see this guide.

Note : the fictitous dataset used in this notebook was taken from Project Robyn (ref) and is not representative of the marketing activity of any real company

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A skeletal notebook used to demo how to construct a Bayesian Marketing Mix Model (MMM), using fictitious data, with PyMC

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