Nova Retail

[ THE PROBLEM ]

What was broken

Nova Retail was spending $200K/month on ads but showing every visitor the same homepage, same product recommendations, and same email campaigns. Conversion rate had plateaued at 2.1% despite growing traffic. Their merchandising team manually curated collections — a process that couldn't scale.

[ THE SOLUTION ]

How we fixed it

We built a real-time personalization engine that creates unique shopping experiences per visitor. The system analyzes browsing behavior, purchase history, and contextual signals to dynamically rank products, personalize homepage layouts, generate targeted email content, and optimize search results. A/B testing runs continuously with automatic winner selection.

[ THE RESULTS ]

What changed

• Revenue per visitor increased 42% within 90 days
• Email click-through rate improved 156%
• Average order value grew from $67 to $94
• Return customer rate increased from 23% to 38%