An online retailer deployed AI-powered personalization that dynamically customized every touchpoint, dramatically improving conversion and customer satisfaction.
One-size-fits-all experience wasn't converting. Manual segmentation was too broad. Missed opportunities to show relevant products. Needed to personalize at scale across 100K SKUs.
We believed that by using machine learning to predict individual preferences and dynamically personalize homepage, product recommendations, email content, and search results, we could dramatically improve relevance and conversion.
Implemented AI recommendation engine analyzing browse and purchase history. Deployed dynamic homepage showing different products per visitor. Built predictive search with personalized results. Created AI-powered email product recommendations. Implemented dynamic pricing tests. Launched chatbot for personalized shopping assistance. Built lookalike audience models for acquisition.
| Metric | Before | After | Change |
|---|---|---|---|
| Revenue per Visitor | $4.20 | $8.06 | +92% |
| Product Page Views per Session | 3.2 | 6.8 | +113% |
| Add-to-Cart Rate | 8.4% | 16.2% | +93% |
| Recommendation CTR | 2.1% | 12.8% | +510% |
Growth trajectory showing +92% improvement in revenue per visitor
Duration
7 months
Launch Date
October 2023