3 articles on personalization
Traditional segmentation is dead. Learn how to build individual-level personalization systems with embeddings, real-time inference, and behavioral prediction models that adapt to every user.
Build recommendation engines that understand semantic similarity, work with cold-start users, and deliver personalized experiences from day one using embeddings.
Generic experiences convert at 2-3%. Personalized experiences convert at 8-15%. Learn how to build recommendation systems and personalization engines that scale to millions of users.