Case Study: Chinaberry Uses Personalized Product Recommendations to Boost Revenues

Visitors to the Isabella website are presented with PPRs while browsing product pages, at the checkout page, in purchase confirmation emails and in weekly email alerts generated by behavioral triggers (e.g., abandoning products in a shopping cart). The recommendations are based on customer profiles developed from browsing and buying histories. The more times consumers visit the Isabella website, the more refined the profiles become and the more relevant the PPRs.