station-10 / awesome-marketing-machine-learningLinks
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
☆123Updated last year
Alternatives and similar repositories for awesome-marketing-machine-learning
Users that are interested in awesome-marketing-machine-learning 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 mROAS☆391Updated 3 years ago
- ☆90Updated 2 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆84Updated last year
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆981Updated last week
- Python Class created to address problems regarding Digital Marketing Attribution.☆340Updated 2 months ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆223Updated 2 months ago
- Multi-Touch Attribution☆117Updated this week
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …☆97Updated 5 months ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,010Updated 5 months ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆94Updated 2 months ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- A flexible python package for cost-aware uplift modelling.☆35Updated last year
- A simple Marketing Mix Modeling library for Python☆28Updated 3 years ago
- Data-Driven Marketing Attribution☆35Updated 5 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆60Updated 3 years ago
- A package to compute a marketing mix model.☆72Updated 2 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆657Updated 10 months ago
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆17Updated 4 years ago
- Code from the book Fighting Churn With Data☆301Updated 3 months ago
- This project introduces Causal AI and how it can drive business value.☆52Updated last year
- Open source marketing mix modeling code for vexpower.com☆45Updated 4 years ago
- ☆103Updated last month
- 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
- Experimental Open-Source Auto Marketing Mix Modelling tool & feature selection☆27Updated last month
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms☆162Updated 2 years ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆69Updated 2 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆245Updated 5 years ago
- ☆88Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- Easily generate and translate captivating product descriptions using product features and additional sources of information like customer…☆51Updated 3 weeks ago