22% Revenue Lift Through Predictive AI Marketing
Revenue Increase
The Challenge
The brand was spending $180K/month on paid ads with diminishing returns. Their email marketing was batch-and-blast with a 2.1% open rate. Inventory predictions were manual spreadsheets updated weekly, leading to frequent stockouts on bestsellers.
Our Approach
Built a predictive inventory model using 18 months of sales data, seasonality patterns, and trend signals
Deployed programmatic email personalization engine — each customer receives dynamically generated product recommendations
Created an automated content pipeline that generates SEO-optimized product descriptions and blog content
Integrated a real-time pricing optimization layer that adjusts based on inventory levels and demand signals
Results
Revenue Lift
Email Open Rate
Stockout Rate
Organic Traffic
Tech Stack
“The programmatic SEO system they built generates more qualified leads than our entire marketing team. It's a machine.”
Priya Patel
Head of Growth, NovaBrand