Client: Cosmetics Retailer
The web and mobile ecommerce channels of a popular omnichannel cosmetics retailer utilized a complex system of over 25 algorithms to make customer-specific product recommendations throughout the entire consumer lifecycle. From the homepage to the shopping cart, many AI strategies were at work.
With so many algorithms to monitor, the retailer needed a team more qualified to data model and analyze their success.
Sophelle’s extensive personalization experience equipped us to data model their extensive algorithms and successfully optimize them.
Thorough page-by-page and device analysis, Sophelle’s Optimization Experts created advanced data models and implemented a series of A/B tests identifying algorithms that maximized engagement and revenue across key success metrics, like click rates, conversion rates, and revenue.
By realigning a series of algorithms, Sophelle quickly delivered an 11.5% lift in revenue on the client’s highly trafficked product detail pages, and now manages on-going optimization work for them.