The leader in Customer Data Infrastructure
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Updated
Jun 4, 2025 - Scala
The leader in Customer Data Infrastructure
🦘 The Grouparoo Monorepo - open source customer data sync framework
EcommerceTools is a Python data science toolkit for ecommerce, marketing science, and technical SEO analysis and modelling and was created by Matt Clarke.
JavaScript SDK for RudderStack - the Customer Data Platform for Developers.
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
A curated list of awesome marketing tools and resources
A PoC for a fractional attribution model leveraging first order Markov Chains.
MCP Server for Facebook ADs Library - Get instant answers from FB's ad library
A open source tool for collating publically available contact information for businesses.
🚨 Resources 💼 to learn/practice 🎯 Marketing analytics 💹 🚨
First Party data integration solution built for marketing teams to enable audience and conversion onboarding into Google Marketing products and Facebook Ads.
rtdl makes it easy to build and maintain a real-time data lake
Analyse customer segmentation, sentiment on product review, and built a product recommender system
Easy computation of Marketing Metrics in R
Este repositório foi cuidadosamente criado para fornecer uma extensa coleção de consultas SQL que visam facilitar o trabalho dos analistas de dados em diversas áreas de uma empresa, incluindo marketing, logística, comercial, financeiro, recursos humanos, operação, jurídico, suporte e muito mais.
Customer Segmentation Analysis with RFM, using Python and Power BI.
A segmentation engine for Django user models
Notebooks on some of the past data analysis and data science projects I've done
Analyze your marketing data by AI & ML algorithms without a single-line of code.
This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising response measurement.
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