Abstract: A method for personalizing content and functionality in a computer application includes: learning user behavior based on detected input and feature usage by analyzing communication requests and response between client device and application services; creating a product adoption learning model based on user behavior and profile by applying training algorithm of feature usage in relation to user behavior following the feature usage of the user throughout the user lifecycle; and determining feature adoption schedule and time window and applying the adoption learning model based on user behavior, user profile and feature usage.