LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
-
Updated
Jan 29, 2025 - Python
#
mmm
Here are 9 public repositories matching this topic...
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
python marketing data-science mmm customer-lifetime-value clv btyd marketing-mix-modeling media-mix-modeling buy-till-you-die
-
Updated
Mar 1, 2025 - Python
A simple Marketing Mix Modeling library for Python
-
Updated
Aug 2, 2022 - Python
PySiMMMulator is an open source Python adaption of the R-package siMMMulator, which allows users to generate simulated data to use in testing Marketing Mix Models (MMMs).
-
Updated
Dec 7, 2024 - Python
Geographic Experiment design and Evaluation Tool designed to help you determine the true lift of marketing efforts.
-
Updated
Feb 27, 2025 - Python
A comprehensive Python framework for simulating, analyzing, and optimizing Marketing Mix Models (MMM) with multiple advertising channels and external factors.
-
Updated
Feb 27, 2025 - Python
Open-source unified MMM interface
marketing predictive-modeling predictive-analytics mmm marketing-mix-modeling martech baysian-models adstocking budget-allocation
-
Updated
Feb 10, 2025 - Python
MMM-Message My Mentions .You will be notified when your name is being mentioned in any app that is running in your system
-
Updated
Nov 11, 2020 - Python
Improve this page
Add a description, image, and links to the mmm topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the mmm topic, visit your repo's landing page and select "manage topics."