Python Class created to address problems regarding Digital Marketing Attribution.
☆368Apr 28, 2026Updated 3 months ago
Alternatives and similar repositories for Marketing-Attribution-Models
Users that are interested in Marketing-Attribution-Models are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A data layer quality monitoring and validation module, this solution is part of the Raft Suite ecosystem.☆21Jan 16, 2023Updated 3 years ago
- Markov Model for Online Multi-Channel Attribution☆17Nov 19, 2025Updated 8 months ago
- Multi-Touch Attribution☆129Jun 18, 2026Updated last month
- Building an ML model to identify ROIs on marketing campaigns and their impacts on sales and customer conversions.☆17Sep 4, 2021Updated 4 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆267Apr 26, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Bayesian marketing-attribution analysis with channel conversion estimates and uncertainty intervals.☆16Jul 5, 2020Updated 6 years ago
- DP6 Open Initiatives☆11Jan 31, 2023Updated 3 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆35Jul 26, 2021Updated 5 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆404May 28, 2022Updated 4 years ago
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,052Jun 17, 2025Updated last year
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆86Sep 27, 2024Updated last year
- Shapley Attribution: A scikit-learn compatible library that uses Shapley values to measure each marketing channel's true marginal contrib…☆42Apr 20, 2026Updated 3 months ago
- ☆16Apr 3, 2020Updated 6 years ago
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,501Jan 26, 2026Updated 6 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Models for Multi-Touch Attribution☆21Feb 13, 2025Updated last year
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,224Updated this week
- ☆40May 18, 2022Updated 4 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆144May 1, 2024Updated 2 years ago
- First Party data integration solution built for marketing teams to enable audience and conversion onboarding into Google Marketing produc…☆144Jan 2, 2025Updated last year
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆27Dec 6, 2021Updated 4 years ago
- Terraform script to automate dataform pipeline deployement on GCP☆20Jun 30, 2024Updated 2 years ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆59Sep 5, 2022Updated 3 years ago
- ☆209Jun 21, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆15Apr 17, 2024Updated 2 years ago
- EcommerceTools is a Python data science toolkit for ecommerce, marketing science, and technical SEO analysis and modelling and was create…☆279Jan 29, 2024Updated 2 years ago
- A machine learning project to fit consumer's web-browsing and advertising impression data to a top-secret Hidden Markov Model☆36Aug 16, 2013Updated 12 years ago
- Achieve your marketing goals with the data analytics power of Python☆235May 27, 2019Updated 7 years ago
- This directory should help everyone who is looking for a tracking and analytics solution☆17Mar 7, 2022Updated 4 years ago
- An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"☆62May 8, 2019Updated 7 years ago
- SQL queries to build attribution models from Google Analytics 4 and Google Analytics Universal raw data.☆42Jul 19, 2022Updated 4 years ago
- Causal Impact of an intervention integrated with control group selection☆10Sep 11, 2022Updated 3 years ago
- Digital Data Manager is an open source library which provides the hassle-free way to integrate Digital Data Layer on your website, collec…☆59Dec 6, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A fully incremental model, that transforms raw mobile event data generated by the Snowplow mobile trackers into a series of derived table…☆15Apr 7, 2026Updated 4 months ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆323Oct 31, 2024Updated last year
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆261Jun 30, 2026Updated last month
- advertools - online marketing productivity and analysis tools☆1,434Jun 30, 2026Updated last month
- ☆90Jun 22, 2026Updated last month
- ☆248Jun 25, 2026Updated last month
- ☆16Jul 25, 2025Updated last year