eeghor / mtaLinks
Multi-Touch Attribution
☆117Updated 3 years ago
Alternatives and similar repositories for mta
Users that are interested in mta are comparing it to the libraries listed below
Sorting:
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆83Updated 10 months ago
- Python Class created to address problems regarding Digital Marketing Attribution.☆333Updated 10 months ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆32Updated 4 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆384Updated 3 years ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆71Updated 2 years ago
- Data-Driven Marketing Attribution☆33Updated 4 years ago
- A flexible python package for cost-aware uplift modelling.☆35Updated 10 months ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆351Updated 2 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆117Updated last year
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆169Updated last year
- Marketing attribution using Bayesian credible sets and regression methods☆15Updated 5 years ago
- Python port of CausalImpact R library☆291Updated last year
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆204Updated last year
- ☆88Updated 2 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆113Updated last year
- A Python package for Bayesian A/B Testing☆61Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆92Updated 4 months ago
- A package to compute a marketing mix model.☆70Updated 2 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- ☆117Updated last year
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms☆159Updated 2 years ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆901Updated this week
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆42Updated 4 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆980Updated last month
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆643Updated 6 months ago