Robyn是Meta Marketing Science的一个实验性、AI/ML驱动的开源营销组合建模(MMM)包。我们的使命是使建模知识民主化,通过创新激励行业,减少建模过程中的人为偏见,并建立一个强大的开源营销科学社区。
marketing-mix-modeling 开源项目推荐(162 个)
marketing-mix-modeling 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 162 个仓库Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics
Automated Double Machine Learning (DoubleML + AutoML) pipeline for causal inference — estimate incremental impact, CATE & ROI of promotions, pricing and media.
该项目在 GitHub 上没有填写描述
This repository contains the code and explanation for market mix modelling technique in economics
Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
Marketing Mix Modeling Data Generator
This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising response measurement.
Marketing Science in Python — a practical guide to marketing analytics, causal inference, marketing mix modeling, pricing, forecasting, and customer analytics.
Karpiu is a package designed for marketing mix modeling by calling Orbit from the backend. Karpiu is still in its beta version. Please use it at your own risk.
Modeling adstock in media mix modeling using Weibull transformations.
A Marketing Mix Modelling project for an E-Commerce company
In this paper we researched the accuracy and usability of machine learning models for MMM analyses.
使用 PyMC3-Marketing 进行营销组合建模
PySiMMMulator is an open source Python marketing simulation package, which allows users to generate simulated data to use in testing Marketing Mix Models (MMMs).
Simba — Bayesian Marketing Mix Modeling (MMM) platform. Media attribution, budget optimization, incrementality measurement, and scenario planning. Built on PyMC-Marketing. No-code, fully transparent, enterprise-ready.
A curated, vendor-neutral list of tools, libraries, research, and resources for measuring marketing effectiveness — MMM, incrementality, causal inference, and attribution.
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. Moreover, the budget allocator & calibration enable actionability and causality of the results
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/marketing-mix-modeling。
- 该话题在 GitHub 上共有 162 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3985 Star,覆盖 4 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。