Case Study: Sephora SEA Personalizes Beauty

Iconic Beauty Retailer Powers 82 Live Experiences Through Dynamic Yield

Mackage Case Study

This case study shows you how Sephora leveraged several recommendation strategies to return a 6X ROI from PDP recommendations alone.

Learn how Sephora used Dynamic Yield to:

  • Deploy machine learning algorithms to select the best recommendations for each visitor
  • Optimize checkout flow to increase conversions and loyalty signups
  • Create engaging experiences on “dead-end” pages to decrease bounce rate

About Sephora SEA:

Sephora is a visionary beauty-retail concept founded in France by Dominique Mandonnaud in 1970. Sephora operates approximately 1,900 stores in 29 countries worldwide, with an expanding base of over 200 stores across the Asia Pacific region including Australia, China, Singapore, Malaysia, Thailand, Indonesia & India