# **CMA – Centralised Product Analytics Repository**

Welcome to **CMA**, our shared workspace for storing and scaling product analytics work across the team. This repository serves as the single source of truth for:

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### What You'll Find Here

1. **Analytical Methodologies**  
   _Causal inference, retention analysis, funnel deep dives, etc._

2. **Reusable Models**  
   _Customer lifetime value (pLTV), attribution modelling, segmentation, uplift models, etc._

3. **Project-Specific Analysis Code**  
   _Feature experiments, onboarding diagnostics, marketing impact studies, etc._

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### Getting Started

To get up and running:

```bash
git clone https://github.com/your-org/CMA.git
cd CMA
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env  # Add your Redshift credentials here