Complete Marketing Mix Learning Hub
Every free & paid resource, tool, community, and platform to master Marketing Mix
Top GitHub Repositories
15 trending repos to learn from
facebookexperimental/Robyn
Jupyter NotebookRobyn 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 throug
pymc-labs/pymc-marketing
PythonBayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
google/lightweight_mmm
PythonLightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
sibylhe/mmm_stan
Jupyter NotebookPython/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Nikhilkohli1/Digital-Marketing-Analytics
Jupyter NotebookThis contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social M
station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
shakostats/Awesome-Marketing-Science
A curated list of awesome marketing science resources including geo incrementality testing, media mix models, multi-touch attribution, causal inference, and more from shakostats.com . Star ⭐ the repo
RobKuebler/mamimo
PythonA package to compute a marketing mix model.
Recommended Books
5 books curated from Google Books
Salary Impact of Marketing Mix
Estimated earning potential across career levels
Salary ranges are market estimates and vary significantly based on primary job title, location, and seniority level.