leopoldavezac / BayesianMMM
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
☆56Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for BayesianMMM
- Code for the article Modeling Marketing Mix using PyMC3☆24Updated 2 years ago
- ☆83Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆352Updated 2 years ago
- A package to compute a marketing mix model.☆70Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆45Updated 3 years ago
- ☆24Updated last year
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 3 years ago
- Multi-Touch Attribution☆109Updated 2 years ago
- Marketing Mix Modeling Data Generator☆44Updated 2 years ago
- siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…☆45Updated 10 months ago
- Marketing attribution using Bayesian credible sets and regression methods☆15Updated 4 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆72Updated last month
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆87Updated 6 months ago
- A Marketing Mix Modelling project for an E-Commerce company☆13Updated 2 years ago
- Modeling adstock in media mix modeling using Weibull transformations.☆16Updated 4 years ago
- Data-Driven Marketing Attribution☆29Updated 4 years ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆182Updated 4 months ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆29Updated 3 years ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆168Updated 3 months ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆58Updated 2 years ago
- A flexible python package for cost-aware uplift modelling.☆28Updated 2 months ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆114Updated 5 months ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆60Updated last year
- Open source marketing mix modeling code for vexpower.com☆44Updated 3 years ago
- A Python package for Bayesian A/B Testing☆61Updated last year
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆23Updated 2 years ago
- ☆85Updated 10 months ago
- ☆131Updated 8 months ago
- Python port of CausalImpact R library☆275Updated 6 months ago
- Customer Base Analysis with Recurrent Neural Networks☆18Updated 2 years ago