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  2. facebookexperimental.github.io › RobynRobyn - GitHub Pages

    Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Getting Started. A New Generation of Marketing Mix Modeling.

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      Forecasting at scale. Prophet is a forecasting procedure...

    • Welcome to Robyn

      What is Robyn? Robyn is an experimental, AI/ML-powered and...

  3. github.com › facebookexperimental › RobynGitHub - facebookexperimental/Robyn: Robyn is an experimental ...

    • Overview
    • Introduction
    • Quick start for R
    • Quick start Python (Robyn API for Python beta)
    • License
    • Contact

    The Open Source Marketing Mix Model Package from Meta Marketing Science

    See full list on github.com

    •What is Robyn?: Robyn is an experimental, semi-automated and open-sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimization, time-series decomposition for trend & season, gradient-based optimization for budget allocation, clustering, etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich data sources.

    •Why are we doing this?: MMM used to be a resource-intensive technique that was only affordable for "big players". As the privacy needs of the measurement landscape evolve, there's a clear trend of increasing demand for modern MMM as a privacy-safe solution. At Meta Marketing Science, our mission is to help all businesses grow by transforming marketing practices grounded in data and science. It's highly aligned with our mission to democratizing MMM and making it accessible for advertisers of all sizes. With Project Robyn, we want to contribute to the measurement landscape, inspire the industry and build a community for exchange and innovation around the future of MMM and Marketing Science in general.

    See full list on github.com

    1. Installing the package

    •Install Robyn latest package version:

    •If it's taking too long to download, you have a slow or unstable internet connection, and have issues while installing the package, try setting options(timeout=400).

    •Robyn requires the Python library Nevergrad. If encountering Python-related error during installation, please check out the step-by-step guide as well as this issue to get more info.

    •For Windows, if you get openssl error, please see instructions here and here to install and update openssl.

    2. Getting started

    See full list on github.com

    The Robyn API for Python (beta), first released on Nov.22nd 2023, is a plumber-based solution that requires the installation of the Robyn R pacakge first. Please see the usage guide here.

    See full list on github.com

    Meta's Robyn is MIT licensed, as found in the LICENSE file.

    •Terms of Use - https://opensource.facebook.com/legal/terms

    •Privacy Policy - https://opensource.facebook.com/legal/privacy

    •Defensive Publication - https://www.tdcommons.org/dpubs_series/4627/

    See full list on github.com

    •gufeng@meta.com, Gufeng Zhou, Marketing Science, Robyn creator

    •igorskokan@meta.com, Igor Skokan, Marketing Science Director, open source

    See full list on github.com

  4. facebookexperimental.github.io › Robyn › docsWelcome to Robyn | Robyn - GitHub Pages

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

  5. towardsdatascience.com › automated-marketing-mixMarketing Mix Modeling with Facebook’s Robyn | Towards Data ...

    Aug 27, 2021 · Facebook Experimental’s Robyn is an automated Marketing Mix Modeling (MMM) code which is currently in beta version. It offers two adstock (geometric and weibull) and an s-curve transformation (diminishing returns) techniques for feature transformation. To take time series features into account Robyn makes use of Facebook Prophet.

  6. facebookexperimental.github.io › Robyn › docsAn Analyst's Guide to MMM | Robyn - GitHub Pages

    What is MMM? Marketing mix modeling (MMM) is a privacy-friendly, highly resilient, data-driven statistical analysis that quantifies the incremental sales impact and ROI of marketing and non-marketing activities.

    • What is Project Robyn?1
    • What is Project Robyn?2
    • What is Project Robyn?3
    • What is Project Robyn?4

  7. www.analyticsvidhya.com › blog › 2023Introduction to Market Mix Model Using Robyn - Analytics Vidhya

    Jun 14, 2023 · What is Robyn? It’s an open-source R package developed by Facebook’s team. It aims to reduce human bias in the modeling process by automating important decisions like selecting optimal hyperparameters for Adstocks & Saturation effects, capturing Trend & Seasonality, and even performing model validation.

  8. getrecast.com › facebook-robynHow Facebook Robyn Works - Recast

    Mar 2, 2022 · Robyn uses Nevergrad, an evolutionary optimization algorithm (itself a Facebook open source project), to automatically find the right combination of parameters for your model from those 10,000 attempts. It decides which model is ‘best’ by optimizing for two metrics: Decomp.RSSD, and NRMSE. NRMSE: Normalized Root Mean Square Error.