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Showing results

A PoC for a fractional attribution model leveraging first order Markov Chains.

Python 75 15 Updated Sep 27, 2024
Jupyter Notebook 57 9 Updated Jan 29, 2025

Readings for Analytics Engineers

239 30 Updated Nov 28, 2022

Multi-Touch Attribution

Python 112 35 Updated Feb 26, 2022

A library meant to assist during an Google Analytics implementation

JavaScript 37 5 Updated Jun 27, 2023

First Party data integration solution built for marketing teams to enable audience and conversion onboarding into Google Marketing products and Facebook Ads.

Python 49 6 Updated Mar 1, 2023

Python Class created to address problems regarding Digital Marketing Attribution.

Python 321 84 Updated Oct 3, 2024

Multi-touch attribution models to determine the channels that lead to greater customer conversions.

Jupyter Notebook 8 1 Updated Jan 27, 2025

Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.

Jupyter Notebook 14 5 Updated Sep 4, 2021

A New GeneratUsing Robyn aims to reduce human bias in the modeling process, esp. by automating modelers decisions like adstocking, saturation, trend & seasonality as well as model validation. Moreo…

R 6 Updated Dec 15, 2022
Jupyter Notebook 9 5 Updated Dec 5, 2021

To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and r…

Jupyter Notebook 21 27 Updated Nov 3, 2019

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

R 40 29 Updated Apr 6, 2021

Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS

Jupyter Notebook 372 169 Updated May 28, 2022

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Python 939 208 Updated Jan 29, 2025

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…

Jupyter Notebook 1,240 374 Updated Feb 11, 2025

A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more

97 10 Updated May 1, 2024

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Socia…

Jupyter Notebook 215 63 Updated Apr 26, 2020

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

Python 778 244 Updated Feb 20, 2025

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

10,309 1,674 Updated Aug 31, 2023