Campaign Data Ingestion
Collects structured and unstructured marketing data from CSV, XLSX, JSON, and API sources, ready for model processing.
AI Marketing Automation integrates generative AI, analytics, and automation to handle the entire marketing lifecycle — from campaign data ingestion to ad content generation and performance tracking. Built with Python and Streamlit, it provides interactive dashboards and an intelligent backend for real-time marketing insights.
Collects structured and unstructured marketing data from CSV, XLSX, JSON, and API sources, ready for model processing.
Uses large language models to generate personalized ad content, email copies, and campaign texts tailored to audience traits.
Tracks CTR, CPC, and ROI across channels using dynamic visualization dashboards with trend and anomaly detection.
Applies ML-based predictive models to optimize ad spend, audience targeting, and content scheduling for better ROI.
Combines all modules into automated pipelines that can run, analyze, and iterate campaigns without manual effort.
Streamlit Analytics Dashboard

Example Decision