olivierzach / bayesian-marketing-attributionLinks
Marketing attribution using Bayesian credible sets and regression methods
☆15Updated 5 years ago
Alternatives and similar repositories for bayesian-marketing-attribution
Users that are interested in bayesian-marketing-attribution are comparing it to the libraries listed below
Sorting:
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆71Updated 2 years ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆93Updated last week
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆84Updated 11 months ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆335Updated 10 months ago
- Multi-Touch Attribution☆117Updated 3 years ago
- A flexible python package for cost-aware uplift modelling.☆35Updated 11 months ago
- ☆117Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆385Updated 3 years ago
- A package to compute a marketing mix model.☆70Updated 2 years ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆206Updated last year
- A simple Marketing Mix Modeling library for Python☆27Updated 3 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- Data-Driven Marketing Attribution☆34Updated 4 years ago
- ☆88Updated 2 years ago
- Transparent, robust and trustworthy A/B experimentation for Shopping feeds.☆49Updated last week
- ☆97Updated 2 months ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆926Updated this week
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆139Updated 5 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆117Updated last year
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆983Updated 2 months ago
- Open source marketing mix modeling code for vexpower.com☆44Updated 4 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆643Updated 7 months ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …☆93Updated 3 months ago
- Experimental Open-Source Auto Marketing Mix Modelling tool & feature selection☆27Updated last year
- ☆16Updated last year
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆117Updated last year
- ☆56Updated 3 years ago
- Bayesian A/B testing☆79Updated 3 months ago