- This project aimed to drive buyer trust by improving how pricing and promotions are displayed throughout the shopping journey of an e-commerce platform.

- Recommended design iterations and which concepts to advance to A/B testing, based on statistical analysis of over 380 responses.

- Enhanced clarity and user experience, boosting Return-on-Ads-Spending (ROAS)[1] by 0.07%, plus 0.35% ROAS during the holidays.

- Literature review

- Competitive analysis

- Unmoderated Design Testing

- Statistical analysis

[1]: Return-on-Ad-Spending (ROAS) measures the revenue generated for every dollar spent on advertising, indicating the effectiveness of specific marketing campaigns.