Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
☆402May 28, 2022Updated 4 years ago
Alternatives and similar repositories for mmm_stan
Users that are interested in mmm_stan are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channe…☆1,050Jun 17, 2025Updated last year
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,480Jan 26, 2026Updated 5 months ago
- ☆92Jun 24, 2023Updated 3 years ago
- Marketing Mix Modeling Data Generator☆45Dec 27, 2021Updated 4 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆263Apr 26, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Marketing Mix Modelling project for an E-Commerce company☆14Oct 3, 2025Updated 9 months ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆1,181Jun 28, 2026Updated last week
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆45Apr 6, 2021Updated 5 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆28Feb 21, 2022Updated 4 years ago
- A package to compute a marketing mix model.☆75Jul 30, 2023Updated 2 years ago
- 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
- Python Class created to address problems regarding Digital Marketing Attribution.☆366Apr 28, 2026Updated 2 months ago
- ☆27Apr 25, 2023Updated 3 years ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…☆71Jun 1, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Modeling adstock in media mix modeling using Weibull transformations.☆16Dec 18, 2019Updated 6 years ago
- Open source marketing mix modeling code for vexpower.com☆45Jun 25, 2021Updated 5 years ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆258Updated this week
- Multi-Touch Attribution☆129Jun 18, 2026Updated 2 weeks ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆52Nov 24, 2020Updated 5 years ago
- Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising…☆39May 18, 2018Updated 8 years ago
- This repository contains the code and explanation for market mix modelling technique in economics☆53May 25, 2018Updated 8 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…☆61Feb 12, 2026Updated 4 months ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆98Aug 21, 2025Updated 10 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.
- ☆10Dec 21, 2020Updated 5 years ago
- ☆58Apr 7, 2022Updated 4 years ago
- Python implementation of Shapley value for multi touch attribution modeling☆29Dec 2, 2021Updated 4 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆87Sep 27, 2024Updated last year
- ☆14Apr 5, 2022Updated 4 years ago
- Bayesian marketing-attribution analysis with channel conversion estimates and uncertainty intervals.☆16Jul 5, 2020Updated 6 years ago
- A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart…☆1,447Jan 24, 2024Updated 2 years ago
- This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attrib…☆28Feb 22, 2018Updated 8 years ago
- To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…☆22Nov 3, 2019Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Mis proyectos de marketing aplicando AI☆11Oct 31, 2025Updated 8 months ago
- Causal Impact of an intervention integrated with control group selection☆10Sep 11, 2022Updated 3 years ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,058May 22, 2026Updated last month
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆357Apr 15, 2026Updated 2 months ago
- A Python package for causal inference in quasi-experimental settings☆1,158Updated this week
- CausalMMM: Learning Causal Structure for Marketing Mix Modeling☆14Mar 15, 2024Updated 2 years ago
- HTTP interface to Stan, a package for Bayesian inference.☆42Feb 6, 2025Updated last year