Robyn 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 through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

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

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

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more

A package to compute a marketing mix model.

siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package features a variety of functions to help users build a data set from scratch.

Open source marketing mix modeling code for vexpower.com

Marketing Mix Modeling Data Generator

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

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 if it helps you, and feel free to contribute your own favorite resources

A simple Marketing Mix Modeling library for Python

Experimental Open-Source Auto Marketing Mix Modelling tool & feature selection

A comprehensive evaluation framework for Marketing Mix Models (MMM).

This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthetic) data set, users will learn how the methods compare. We also illustrate the data manipulation that is required to prepare typical raw advertising data for analysis. Examples are worked in R and slides are provided in LaTeX.

This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising response measurement.

Code for the article Modeling Marketing Mix using PyMC3

To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multiplicative, Koyck & Distributive Lag to identify the important KPIs that influence the company revenue and their contributions towards the revenue. The main data set is available below:

Optimized marketing mix- effective promotion channels and price for different product types, for car industry using regression model

Karpiu is a package designed for marketing mix modeling by calling Orbit from the backend. Karpiu is still in its beta version. Please use it at your own risk.

CausalMMM: Learning Causal Structure for Marketing Mix Modeling

A Marketing Mix Modelling project for an E-Commerce company

Discussing and experimenting with marketing mix modelling (MMM) - with code examples

Is your marketing effective? Let Bayes decide! Code and resources for the Marketing Media Mix model workshop.

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

Marketing Mix Modeling (MMM) workbench

Proyecto de Marketing Mix Model

Improvements and helpers to Facebook Robyn marketing mix modeling package

Attach Gemini APIs to your Marketing Mix Model to make it easier to utilize MMM.