LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

A simple Marketing Mix Modeling library for Python

PySiMMMulator is an open source Python marketing simulation package, which allows users to generate simulated data to use in testing Marketing Mix Models (MMMs).

Geographic Experiment design and Evaluation Tool designed to help you determine the true lift of marketing efforts.

Emulates sanity for non-pep compliant code via only the dirtiest of means

Interactive version of Daniel Saunder's blog post

Marketing Mix Modeling (MMM) in Python: ridge regression with adstock & saturation, attribution metrics, and a simple budget optimizer.

Open-source unified MMM interface

MMM-Message My Mentions .You will be notified when your name is being mentioned in any app that is running in your system

Streamlit application built with Cursor of Google's Meridian MMM open source modeling

A comprehensive Python framework for simulating, analyzing, and optimizing Marketing Mix Models (MMM) with multiple advertising channels and external factors.