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@marketing-mix-modeling

Marketing Mix Modeling

One-stop MMM hub
README.md

Marketing Mix Modeling

A centralized hub for open-source Marketing Mix Modeling (MMM) repositories. This organization consolidates forked projects to provide a single point of access for users interested in MMM.

Purpose and Goals

This project aims to simplify the discovery of different open-source MMM tools, facilitate comparison between them, and encourage collaboration across different projects.

Our goals include:

  • Providing a comprehensive overview of available MMM solutions.
  • Fostering community contributions to these forked projects.

Technologies Used

This collection includes repositories that utilize various technologies relevant to MMM, such as Python, R, and specific MMM libraries.

Table of Contents

  1. Forked Repositories
  2. How to Use
  3. Contributing
  4. License
  5. Contact

Forked Repositories

Here is a list of the forked repositories included in this collection:

  • Meridian

    • Description: Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.

  • Robyn

    • Description: Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science.

  • PyMC Marketing

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

How to Use

  1. Browse the list of forked repositories above.
  2. Navigate to individual repository pages to understand their specific features and usage.
  3. Follow the instructions in each repository's README for installation and usage.

Contributing

We welcome contributions to the forked repositories and to the organization itself. If you'd like to contribute:

  1. Report issues or bugs by opening an issue in the relevant repository.
  2. Submit pull requests with enhancements or fixes to the appropriate repository.
  3. Contribute documentation or examples to help others use these tools.

License

The forked repositories retain their original licenses. Please refer to the license information within each repository for details.

Popular repositories Loading

  1. Robyn Robyn Public

    Forked from facebookexperimental/Robyn

    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 thr…

    Jupyter Notebook

  2. meridian meridian Public

    Forked from google/meridian

    Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.

    Python

  3. lightweight_mmm lightweight_mmm Public

    Forked from google/lightweight_mmm

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

    Python

  4. pymc-marketing pymc-marketing Public

    Forked from pymc-labs/pymc-marketing

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

    Python

  5. .github .github Public

  6. unified-mmm unified-mmm Public

    Open-source unified MMM interface

    Python

Repositories

Showing 7 of 7 repositories
  • papers Public
    marketing-mix-modeling/papers’s past year of commit activity
    0 MIT 0 0 0 Updated Feb 17, 2025
  • unified-mmm Public

    Open-source unified MMM interface

    marketing-mix-modeling/unified-mmm’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Feb 10, 2025
  • .github Public
    marketing-mix-modeling/.github’s past year of commit activity
    0 MIT 0 0 0 Updated Feb 10, 2025
  • meridian Public Forked from google/meridian

    Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.

    marketing-mix-modeling/meridian’s past year of commit activity
    Python 0 Apache-2.0 110 0 0 Updated Feb 10, 2025
  • pymc-marketing Public Forked from pymc-labs/pymc-marketing

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

    marketing-mix-modeling/pymc-marketing’s past year of commit activity
    Python 0 Apache-2.0 251 0 0 Updated Feb 10, 2025
  • Robyn Public Forked from facebookexperimental/Robyn

    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.

    marketing-mix-modeling/Robyn’s past year of commit activity
    Jupyter Notebook 0 MIT 379 0 0 Updated Feb 7, 2025
  • lightweight_mmm Public Forked from google/lightweight_mmm

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

    marketing-mix-modeling/lightweight_mmm’s past year of commit activity
    Python 0 Apache-2.0 213 0 0 Updated Jan 29, 2025

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