A/B Testing – Landing Page Optimization

Date: April 2025

🛠️ Tools Used

Python · Pandas · Matplotlib · Statsmodels

🎯 Project Scope & Objectives

• Evaluate if a new version of a product landing page increases conversion rates
• Simulate user interaction data with device and country segmentation
• Apply A/B testing using z-test for proportions
• Visualize and interpret results

🔍 Key Findings

• Overall difference in conversion rates (14.7% vs. 12.4%) was not statistically significant (p = 0.13)
• Segmented analysis revealed a statistically significant improvement on desktop (p = 0.0105)
• No significant difference on mobile (p = 0.76)

📎 Project Resources

🖼️ Dashboard Screenshots