facebookexperimental / RobynLinks
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.
β1,376Updated 5 months ago
Alternatives and similar repositories for Robyn
Users that are interested in Robyn are comparing it to the libraries listed below
Sorting:
- LightweightMMM π¦ is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channeβ¦β1,009Updated 5 months ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.β987Updated last week
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROASβ392Updated 3 years ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lifβ¦β227Updated 3 months ago
- Python Class created to address problems regarding Digital Marketing Attribution.β341Updated last week
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.β94Updated 3 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.β659Updated 10 months ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inferenceβ¦β123Updated last year
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime β¦β97Updated 6 months ago
- β91Updated 2 years ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design forβ¦β69Updated 2 years ago
- A package to compute a marketing mix model.β72Updated 2 years ago
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platformsβ162Updated 2 years ago
- β105Updated last month
- Open source marketing mix modeling code for vexpower.comβ45Updated 4 years ago
- siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The packageβ¦β56Updated last year
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google β¦β140Updated 6 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effectβ60Updated 3 years ago
- Multi-Touch Attributionβ117Updated 3 weeks ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.β85Updated last year
- A Python package for causal inference in quasi-experimental settingsβ1,072Updated this week
- β47Updated last month
- A simple Marketing Mix Modeling library for Pythonβ28Updated 3 years ago
- A flexible python package for cost-aware uplift modelling.β36Updated last year
- Transparent, robust and trustworthy A/B experimentation for Shopping feeds.β51Updated 3 months ago
- Markov Model for Online Multi-Channel Attributionβ15Updated 2 weeks ago
- Lifetime value in Pythonβ1,469Updated last year
- An R package for causal inference in time seriesβ1,780Updated 2 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world businessβ350Updated 2 years ago
- β10Updated 4 years ago