Improving onsite recommendation experiences with advanced algorithms for improved engagement
Chow Sang Sang’s existing recommendation algorithms were primitive and less flexible with real-time user behavior. They were looking for a tool that would help optimize onsite recommendations through dynamic algorithms for improved user experience and which would also help improve metric performance.
The team at Insider recommended the use of Smart Recommender along with A/B testing. CSS employed these smart recommendations across pages and A/B tested these for maximum engagement.
Homepage: User-based recommendations
Product Page: Mixed recommendations- most popular items + Viewed together products
Cart Page: Highest discount + top selling products
Gold
Category Page: Highest discount + user-based + gold filtering
Chow Sang Sang observed a 10.5% uplift in conversion rate from the smart recommendations campaigns.