marketing-science 开源项目推荐（26 个）

facebookexperimental /Robyn

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。

google /lightweight_mmm

LightweightMMM收件箱是一个轻量级的Bayesian Marketing Mix建模（MMM）库，允许用户轻松训练MMM并获取渠道归因信息。

mplatzer /BTYDplus

R package for Customer Behavior Analysis

shakostats /Awesome-Marketing-Science

该项目在 GitHub 上没有填写描述

vkoul /awesome-Marketing-Analytics

🚨 Resources 💼 to learn/practice 🎯 Marketing analytics 💹 🚨

google-marketing-solutions /ml_toast

Cluster multilingual search terms captured from different time windows into semantically relevant topics.

takechanman1228 /marketing-science-in-python

Marketing Science in Python — a practical guide to marketing analytics, causal inference, marketing mix modeling, pricing, forecasting, and customer analytics.

RyanAugust /PySiMMMulator

PySiMMMulator is an open source Python marketing simulation package, which allows users to generate simulated data to use in testing Marketing Mix Models (MMMs).

getsimba-ai /simba-mmm

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.

nitinjosephrepo /Marketing-Mix-Modeling-MMM-Using-Robyn

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

rickcentralcontrolcom /geo-rct-methodology

This repository provides open-source best practices for for conducting geographic randomized controlled trials (Geo RCTs) for measuring incremental sales effect of advertising cammpaigns. It includes details on one design type in particular, a multi-armed stepped experimental design that has particular advantages in terms of statistical strength.

NoelCunha /growth-scientist

Skill para Claude Code — Framework de marketing cientifico e growth. Metodo cientifico aplicado a trafego, engajamento, conversao e retencao.

cacaprog /churn-prediction-ecommerce

End-to-end machine learning pipeline to predict seller churn for the Olist e-commerce

Michaelrobins938 /attribution-assets

10-paper marketing science framework with 11 live dashboards. Bayesian MMM, causal inference, probabilistic identity resolution, and real-time streaming attribution. All papers published with Zenodo DOIs.

spectralbranding /sbt-framework

8-dimensional brand perception framework. AI-implementable prompt toolkit + YAML templates. Demonstrated across 5 brands.

Bodhi8 /brian-curry-artificial-intelligence-causal-economics-machine-learning

AI Strategist, Marketing Economist & Applied Researcher. Founder, Vector1 Research. Enterprise analytics leadership, causal inference, cognitive AI research.

JulianDataScienceExplorerV2 /Churn-Prediction-Retention-System-Python-Go

Customer churn prediction model (Logistic Regression) in Python, scoring and retention action CLI built in Go. / Modelo de prediccion de fuga de clientes con Python y CLI de retencion en Go.

foxnaim /BTYDplus

Пакет R для анализа поведения клиентов и прогноза их покупок · основа foxnaim под заказ

JulianDataScienceExplorerV2 /Customer-Segmentation-RFM-KMeans-SQL-Python

Customer segmentation using RFM scoring and K-Means clustering. Polyglot project: SQL for data extraction, Python for ML, Go for the segment reporter CLI. / Segmentacion de clientes con RFM y K-Means. Proyecto multilenguaje: SQL, Python y Go.

mrcsvg /geoexp

Geo-experiment design on top of augsynth-py: market selection, power-based design ranking, and experiment reporting