- Industry: Fashion / D2C eCommerce
- Size: 50 employees, $12M annual revenue
- Challenge: Flat conversion rates despite growing traffic
A D2C fashion brand had invested heavily in digital marketing and was driving strong traffic growth, but conversion rates remained flat at 1.8%. Every visitor saw the same homepage, the same product rankings, and the same promotions — regardless of their style preferences, purchase history, or browsing behavior. Cart abandonment was 78%, and repeat purchase rate was only 15%.
Artificial Intelligence involves creating computer systems capable of performing tasks that usually require human intelligence. This includes developing algorithms and models that allow machines to learn, reason, and perceive effectively.Adam Peterson
The brand’s Shopify store lacked personalization capabilities beyond basic “customers also bought” widgets. They needed a comprehensive personalization strategy that adapted the entire shopping experience — from homepage layout to product recommendations to email campaigns — without replacing their existing platform.
QUYNT built a personalization layer on top of the existing Shopify store using a headless middleware approach. The system creates a behavioral profile for each visitor and dynamically personalizes product recommendations, homepage hero content, category rankings, search results, and email campaigns based on individual preferences and predicted intent.
- 28% increase in overall revenue within 6 months of deployment
- Conversion rate improved from 1.8% to 2.9% (61% lift)
- Average order value increased by 22% ($78 to $95)
- Cart abandonment reduced from 78% to 64%
- Repeat purchase rate grew from 15% to 26%
- Email click-through rates tripled with personalized product recommendations
