LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
☆1,031Jun 17, 2025Updated 9 months ago
Alternatives and similar repositories for lightweight_mmm
Users that are interested in lightweight_mmm are comparing it to the libraries listed below
Sorting:
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,424Jan 26, 2026Updated last month
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆399May 28, 2022Updated 3 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,089Updated this week
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆237Feb 7, 2026Updated last month
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆96Aug 21, 2025Updated 7 months ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆71Jun 1, 2023Updated 2 years ago
- siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…☆59Feb 12, 2026Updated last month
- Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.☆1,298Updated this week
- Python Class created to address problems regarding Digital Marketing Attribution.☆353Feb 6, 2026Updated last month
- A package to compute a marketing mix model.☆74Jul 30, 2023Updated 2 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Feb 21, 2022Updated 4 years ago
- ☆112Mar 11, 2026Updated last week
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆64Dec 7, 2021Updated 4 years ago
- A simple Marketing Mix Modeling library for Python☆30Aug 2, 2022Updated 3 years ago
- A Python package for causal inference in quasi-experimental settings☆1,126Updated this week
- Multi-Touch Attribution☆126Nov 14, 2025Updated 4 months ago
- ☆57Apr 7, 2022Updated 3 years ago
- Easily generate and translate captivating product descriptions using product features and additional sources of information like customer…☆54Updated this week
- Data-Driven Marketing Attribution☆35Oct 9, 2020Updated 5 years ago
- ☆152Feb 6, 2026Updated last month
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,041Mar 3, 2026Updated 2 weeks ago
- ☆25Jan 9, 2026Updated 2 months ago
- Transparent, robust and trustworthy A/B experimentation for Shopping feeds.☆56Aug 21, 2025Updated 7 months ago
- ☆28Apr 25, 2023Updated 2 years ago
- First Party data integration solution built for marketing teams to enable audience and conversion onboarding into Google Marketing produc…☆143Jan 2, 2025Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆669Jan 13, 2025Updated last year
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆130May 1, 2024Updated last year
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆27Dec 6, 2021Updated 4 years ago
- ☆153Jan 3, 2025Updated last year
- An R package for causal inference in time series☆1,812Sep 26, 2025Updated 5 months ago
- Optimise Shopping feeds with Generative AI☆240Mar 14, 2026Updated last week
- Lifetime value in Python☆1,476Jun 28, 2024Updated last year
- Reliable data integration & processing for advertisers☆212Updated this week
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆258Apr 26, 2020Updated 5 years ago
- Marketing attribution using Bayesian credible sets and regression methods☆15Jul 5, 2020Updated 5 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,275Sep 18, 2025Updated 6 months ago
- SQL queries to build attribution models from Google Analytics 4 and Google Analytics Universal raw data.☆41Jul 19, 2022Updated 3 years ago
- Identify irrelevant negative keywords from your Google Ads account☆32Mar 13, 2026Updated last week
- ☆44Mar 11, 2026Updated last week