🧪 AB-Performance: Ad Bidding A/B Test

🎯 Objective

This project simulates a realistic A/B test workflow comparing Manual vs Automated ad bidding strategies to evaluate performance using real-world marketing KPIs like CTR, CVR, ROAS, and CAC.

📦 Context

With increasing ad spend, companies need to choose the most effective bidding strategy to maximize ROI. This analysis uses campaign data to uncover how bidding types influence core metrics and outcomes.

🕒 Duration

Completed in under a week, including data cleaning, KPI generation, and visualization.

👤 Role

As the sole analyst, I owned the full pipeline:

• Cleaned and processed data
• Computed performance metrics
• Visualized findings and presented insights

🛠️ Tools & Methodologies

• Python (Pandas, Seaborn, Matplotlib)
• SQL for metric validation