sibylhe / mmm_stanLinks
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
β394Updated 3 years ago
Alternatives and similar repositories for mmm_stan
Users that are interested in mmm_stan 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¦β1,012Updated 6 months ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.β1,000Updated last week
- β92Updated 2 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effectβ60Updated 4 years ago
- Python Class created to address problems regarding Digital Marketing Attribution.β344Updated last month
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inferenceβ¦β123Updated last year
- Multi-Touch Attributionβ118Updated last month
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lifβ¦β231Updated 3 months ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.β95Updated 4 months ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.β85Updated last year
- A package to compute a marketing mix model.β72Updated 2 years ago
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission isβ¦β1,383Updated 5 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.β659Updated 11 months ago
- Open source marketing mix modeling code for vexpower.comβ45Updated 4 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world businessβ350Updated 2 years ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design forβ¦β70Updated 2 years ago
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising responβ¦β26Updated 4 years ago
- Code for the article Modeling Marketing Mix using PyMC3β27Updated 3 years ago
- A Marketing Mix Modelling project for an E-Commerce companyβ14Updated 2 months ago
- β28Updated 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
- Data-Driven Marketing Attributionβ35Updated 5 years ago
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.β17Updated 4 years ago
- Marketing attribution using Bayesian credible sets and regression methodsβ15Updated 5 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketingβ49Updated 5 years ago
- β10Updated 5 years ago
- Code from the book Fighting Churn With Dataβ306Updated 4 months ago
- A simple Marketing Mix Modeling library for Pythonβ29Updated 3 years ago
- Code for the Book Causal Inference in Pythonβ357Updated last year
- UpliftML: A Python Package for Scalable Uplift Modelingβ327Updated 2 years ago