station-10 / awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
☆104Updated 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:
- ☆88Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆377Updated 2 years ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆88Updated 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…☆200Updated 10 months ago
- Multi-Touch Attribution☆116Updated 3 years ago
- Data-Driven Marketing Attribution☆33Updated 4 years ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆327Updated 7 months ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆79Updated 7 months ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆829Updated this week
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …☆81Updated this week
- Open source marketing mix modeling code for vexpower.com☆44Updated 3 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆69Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆348Updated 2 years ago
- ☆27Updated 2 years ago
- ☆91Updated last month
- A package to compute a marketing mix model.☆70Updated last year
- ☆113Updated last year
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆32Updated 3 years ago
- This project introduces Causal AI and how it can drive business value.☆46Updated 8 months ago
- Unstructured Code with interesting analysis☆37Updated 6 months ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆116Updated last year
- A flexible python package for cost-aware uplift modelling.☆34Updated 8 months ago
- ☆80Updated last year
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆14Updated 3 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆169Updated 9 months ago
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms☆157Updated 2 years ago
- Code from the book Fighting Churn With Data☆287Updated 2 weeks ago