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.
☆1,357Updated 3 months ago
Alternatives and similar repositories for Robyn
Users that are interested in Robyn are comparing it to the libraries listed below
Sorting:
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,000Updated 4 months ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆389Updated 3 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆966Updated this week
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆219Updated last month
- Python Class created to address problems regarding Digital Marketing Attribution.☆339Updated last month
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆92Updated 2 months ago
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …☆96Updated 5 months ago
- A package to compute a marketing mix model.☆72Updated 2 years ago
- ☆89Updated 2 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆122Updated last year
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆68Updated 2 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆654Updated 9 months ago
- Transparent, robust and trustworthy A/B experimentation for Shopping feeds.☆50Updated 2 months ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆140Updated 6 years ago
- siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…☆56Updated last year
- ☆103Updated this week
- Open source marketing mix modeling code for vexpower.com☆45Updated 4 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆84Updated last year
- Multi-Touch Attribution☆117Updated 3 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms☆162Updated 2 years ago
- ☆124Updated last year
- A flexible python package for cost-aware uplift modelling.☆35Updated last year
- ☆45Updated 3 months ago
- Lifetime value in Python☆1,468Updated last year
- ☆10Updated 4 years ago
- A simple Marketing Mix Modeling library for Python☆27Updated 3 years ago
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆17Updated 4 years ago
- Data-Driven Marketing Attribution☆35Updated 5 years ago
- ☆26Updated 3 weeks ago