marketing-science

There are 3 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.

  adstockingbudget-allocationcost-response-curveeconometricsevolutionary-algorithmgradient-based-optimisationhyperparameter-optimizationmarketing-mix-modelingmarketing-mix-modellingmarketing-sciencemmmridge-regression
  Language:Jupyter Notebook 1068

• 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.

  bayesiandata-scienceeconometricsmarketing-sciencemmm
  Language:Python 823

• mplatzer / BTYDplus

  R package for Customer Behavior Analysis

  customer-behaviorpredictive-analyticscrmmarketing-sciencerstats
  Language:R 181

• google-marketing-solutions / ml_toast

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

  data-sciencemachine-learningmarketing-sciencenlptensorflowtopic-clustering
  Language:Python 32

• 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).

  marketing-mix-modelingmarketing-sciencemmmpythonmarketing
  Language:Python 4

• 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

  adstockingmarketing-mix-modelingfacebook-prophetmarketing-sciencemmmnevergrad
  Language:R 3

• gsrau / prediccion-presupuesto-campanas

  Predicción de presupuesto de campañas en Meta Ads mediante Regresión Lineal

  budget-forecastdigital-marketingmarketing-analyticsmarketing-sciencemeta-adsdata-sciencemachine-learning
  Language:Jupyter Notebook 1

• gsrau / analisis-rfm-clustering

  Análisis RFM con métodos de clustering

  clusteringdigital-marketingmarketing-analyticsmarketing-sciencesegmentation-modelsdata-sciencemachine-learning
  Language:Jupyter Notebook 0

• lgpintomkt / mkt_mix_modelling_information_diffusion

  complex-networksmarketing-sciencedata-science
  Language:Python 0