eeghor / mtaLinks
Multi-Touch Attribution
☆116Updated 3 years ago
Alternatives and similar repositories for mta
Users that are interested in mta are comparing it to the libraries listed below
Sorting:
- Data-Driven Marketing Attribution☆33Updated 4 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆82Updated 9 months ago
- 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
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆351Updated 2 years ago
- Python port of CausalImpact R library☆287Updated last year
- Python Class created to address problems regarding Digital Marketing Attribution.☆331Updated 9 months ago
- A flexible python package for cost-aware uplift modelling.☆35Updated 10 months ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆169Updated 11 months ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- A Python package for Bayesian A/B Testing☆61Updated 2 years ago
- ☆88Updated 2 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆382Updated 3 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆117Updated last year
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆70Updated 2 years ago
- A package to compute a marketing mix model.☆70Updated last year
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 4 years ago
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms☆158Updated 2 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆112Updated last year
- Hierarchical Time Series Forecasting using Prophet☆143Updated 4 years ago
- ☆290Updated 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…☆204Updated last year
- Python package for Bayesian Tests / AB Testing☆40Updated 4 years ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆90Updated 4 months ago
- ☆115Updated last year
- Uplift modeling package.☆374Updated 2 years ago
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago