hammer-mt / hommmerLinks
A simple Marketing Mix Modeling library for Python
☆27Updated 2 years ago
Alternatives and similar repositories for hommmer
Users that are interested in hommmer are comparing it to the libraries listed below
Sorting:
- Python Class created to address problems regarding Digital Marketing Attribution.☆331Updated 9 months ago
- ☆88Updated 2 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆82Updated 9 months ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆382Updated 3 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆112Updated last year
- A flexible python package for cost-aware uplift modelling.☆35Updated 10 months ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- Multi-Touch Attribution☆116Updated 3 years ago
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆24Updated 3 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
- A package to compute a marketing mix model.☆70Updated 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
- Open source marketing mix modeling code for vexpower.com☆44Updated 4 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆232Updated 5 years ago
- EcommerceTools is a Python data science toolkit for ecommerce, marketing science, and technical SEO analysis and modelling and was create…☆255Updated last year
- ☆97Updated 3 weeks ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆891Updated this week
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆16Updated 3 years ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆70Updated 2 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- SQL queries to build attribution models from Google Analytics 4 and Google Analytics Universal raw data.☆39Updated 2 years ago
- Data-Driven Marketing Attribution☆33Updated 4 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime …☆90Updated last month
- Marketing Mix Modeling Data Generator☆44Updated 3 years ago
- Marketing attribution using Bayesian credible sets and regression methods☆15Updated 5 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆977Updated 3 weeks ago
- This repository contains the code and explanation for market mix modelling technique in economics☆53Updated 7 years ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆139Updated 5 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆49Updated 4 years ago