https://github.com/danielhasan1/ad-attribution-system

https://github.com/danielhasan1/ad-attribution-system

Last synced: 10 months ago
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• Host: GitHub
• URL: https://github.com/danielhasan1/ad-attribution-system
• Owner: danielhasan1
• Created: 2025-08-10T14:45:50.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-08-17T18:06:28.000Z (11 months ago)
• Last Synced: 2025-08-17T20:21:55.090Z (11 months ago)
• Language: Python
• Size: 20.5 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Ad Attribution System

A production-grade data engineering solution for multi-channel advertising attribution and budget optimization.

## Problem Statement

Marketing teams waste 30-50% of ad budgets on underperforming channels due to lack of proper attribution modeling. This system provides real-time attribution analysis and automated budget reallocation recommendations.

## Architecture

- **Data Sources**: Facebook Ads API, Google Ads API

- **Processing**: Real-time ETL pipelines with Apache Airflow

- **Storage**: PostgreSQL for structured data, optimized for analytics queries

- **Attribution**: Multi-touch attribution models (Last-touch, First-touch, Linear, Markov Chain)

- **Visualization**: Real-time dashboards with actionable insights

## Features

- Multi-channel data ingestion (Facebook, Google Ads)

- Real-time attribution modeling

- Budget optimization recommendations

- Performance monitoring and alerting

- Interactive analytics dashboard

## Tech Stack

- **Language**: Python 3.9+

- **Database**: PostgreSQL 17

- **ETL**: Apache Airflow, Pandas

- **APIs**: Facebook Marketing API, Google Ads API

- **Dashboard**: Streamlit

- **Deployment**: Docker

## Setup

```bash