Case Study: L’Oréal achieves scalable personalized experimentation with Optimizely

200 experiments a year to make every customer feel seen

L’Oréal’s Luxe Division needed a better way to scale digital experimentation, improve personalization, and create more inclusive shopping experiences for every customer. To do this, the team used Optimizely to support its testing and optimization program, including segmentation, targeted messaging, and custom metrics.

With Optimizely, L’Oréal now runs around 200 experiments a year and has reduced manual analysis work while speeding up test setup. The vendor helped the team achieve stronger engagement, higher add-to-bag rates, and improved conversion and revenue results, while also saving developer time through reusable extensions and streamlined reporting.

L’Oréal

Kelly Jenkins

Director of Testing & Optimization