marketing-science

There are 9 repositories under marketing-science topic.

  • 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.

    Language:Jupyter Notebook1.2k61739350

  • 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.

    Language:Python91233187197

  • mplatzer/BTYDplus

    R package for Customer Behavior Analysis

    Language:R185355449

  • google-marketing-solutions/ml_toast

    Cluster multilingual search terms captured from different time windows into semantically relevant topics.

    Language:Python34807

  • nitinjosephrepo/Marketing-Mix-Modeling-MMM-Using-Robyn

    A New GeneratUsing Robyn aims to reduce human bias in the modeling process, esp. by automating modelers decisions like adstocking, saturation, trend & seasonality as well as model validation. Moreover, the budget allocator & calibration enable actionability and causality of the results

    Language:R6200

  • RyanAugust/PySiMMMulator

    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).

    Language:Python5370

  • gsrau/prediccion-presupuesto-campanas

    Predicción de presupuesto de campañas en Meta Ads mediante Regresión Lineal

    Language:Jupyter Notebook1100

  • gsrau/analisis-rfm-clustering

    Análisis RFM con métodos de clustering

    Language:Jupyter Notebook0100

  • lgpintomkt/mkt_mix_modelling_information_diffusion

    Language:Python0100