Most online brands we work with use machine-learning algorithms to analyze the data and identify patterns of what products a customer is interested in based on their shopping behavior and preferences. They then show personalized product recommendations on various touchpoints, such as the homepage, product pages, and during checkout.
Nowadays, many brands are also becoming part of joint or group loyalty programs that allow them to join hands with fellow online brands and offer rewards or loyalty points to their customers collectively. This leads to higher redemptions of loyalty points, as the rewards are much more exciting for customers compared to single or solo loyalty programs.