Case Study
REEBOK USES MACHINE LEARNING BUILT INTO KIBO PERSONALIZATIONTO ADAPT TO CHANGING CUSTOMER INTENT ACROSS SEASONS
REEBOK USES MACHINE LEARNING BUILT INTO KIBO PERSONALIZATIONTO ADAPT TO CHANGING CUSTOMER INTENT ACROSS SEASONS
kibocommerce.com info@kibocommerce.com CASE STUDY REEBOK USES MACHINE LEARNING BUILT INTO KIBO PERSONALIZATION TO ADAPT TO CHANGING CUSTOMER INTENT ACROSS SEASONS OVERVIEW Reebok has a lofty goal: to become the most personalized sporting goods brand in the world. To achieve this, the company partnered with Kibo to leverage rich customer insights to deliver scalable personalization to shoppers. With the help of Kibo Personalization, powered by Monetate and Certona, Reebok created three different personalization experiences that achieved notable results: • 4.2% lift in RPS (Revenue per Session) over Black Friday 2020 • 5.5% increase in ATC (Add-to-Cart Rate) • 12.2% improvement in CTR (Click-Through Rate) Using segmented experiences and Kibo’s Automated Personalization capabil