google / lightweight_mmmLinks
LightweightMMM π¦ is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
β973Updated last week
Alternatives and similar repositories for lightweight_mmm
Users that are interested in lightweight_mmm are comparing it to the libraries listed below
Sorting:
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROASβ385Updated 3 years ago
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission isβ¦β1,310Updated 2 weeks ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.β874Updated this week
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lifβ¦β202Updated 11 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.β640Updated 5 months ago
- Python Class created to address problems regarding Digital Marketing Attribution.β329Updated 8 months ago
- A package to compute a marketing mix model.β70Updated last year
- β88Updated 2 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inferenceβ¦β112Updated last year
- β115Updated last year
- β27Updated 2 years ago
- A Python package for causal inference in quasi-experimental settingsβ1,009Updated this week
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.β90Updated 3 months ago
- Multi-Touch Attributionβ116Updated 3 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world businessβ349Updated 2 years ago
- β96Updated last week
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design forβ¦β70Updated 2 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effectβ58Updated 3 years ago
- Python port of CausalImpact R libraryβ287Updated last year
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime β¦β88Updated last month
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google β¦β139Updated 5 years ago
- Lifetime value in Pythonβ1,467Updated 11 months ago
- Open source marketing mix modeling code for vexpower.comβ44Updated 4 years ago
- An R package for causal inference in time seriesβ1,746Updated last year
- β274Updated 7 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.β1,981Updated 3 weeks ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.β82Updated 8 months ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.β169Updated 10 months ago
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.β15Updated 3 years ago
- Code from the book Fighting Churn With Dataβ290Updated last month