sibylhe / mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
☆376Updated 2 years ago
Alternatives and similar repositories for mmm_stan:
Users that are interested in mmm_stan are comparing it to the libraries listed below
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆820Updated this week
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆955Updated 2 weeks ago
- ☆88Updated last year
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆198Updated 9 months ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆102Updated 11 months ago
- Multi-Touch Attribution☆115Updated 3 years ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆327Updated 6 months ago
- A package to compute a marketing mix model.☆70Updated last year
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆77Updated 6 months ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆82Updated last month
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,271Updated last week
- Data-Driven Marketing Attribution☆33Updated 4 years ago
- ☆27Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆347Updated last year
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆635Updated 3 months ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆135Updated 5 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆168Updated 8 months ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆66Updated last year
- ☆109Updated last year
- Power analysis and AB test analysis library☆35Updated 2 weeks ago
- A Marketing Mix Modelling project for an E-Commerce company☆13Updated 2 years ago
- This repository contains the code and explanation for market mix modelling technique in economics☆53Updated 6 years ago
- Python port of CausalImpact R library☆284Updated 11 months ago
- Code for the article Modeling Marketing Mix using PyMC3☆26Updated 3 years ago
- Open source marketing mix modeling code for vexpower.com☆44Updated 3 years ago
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆23Updated 3 years ago
- ☆10Updated 4 years ago
- Marketing Mix Modeling Data Generator☆45Updated 3 years ago
- A flexible python package for cost-aware uplift modelling.☆34Updated 7 months ago