Comparing Content Personalization and Experience Personalization

What is content personalization vs experience personalization? Many of the personalization options available to app users are now confined to content personalization. Analytics data collected from mobile and online apps are used to identify user behavior, improve application performance, and adjust the information presented to the user. Relevant information for personalization is gained through usage pattern tracking and app monitoring. E.g., when you look for a commodity, comparable and complementary goods are offered depending on your browsing habit. This is basic content personalization, in which the user experience or screen appearance does not change with use.

Persona-based experience personalization may be implemented by selectively hiding and displaying User experience components based on a predetermined set of qualities that distinguish various personas. When a field manager joins the app, for example, the User experience components related to that manager are displayed; however, when a field worker logs in, what is relevant to that persona are displayed. Selective hide and show would need to arrange the screen/workflow and load more UI components than necessary. On the one hand, the hide-display establish on persona provides flexibility in planning displays and procedures, but it makes their screens heavier.

Most of the main experience platforms and content management systems provide content personalization and selective hide-display-based experience customization. Analytics and AI solutions are working hard to find relevant information for content personalization and persona-based hide-display for experience personalization.

App creation with angular, react, kotlin, and other frameworks allows for greater flexibility in experience personalization for web apps, native apps, and multi-platform apps. This is accomplished by dynamic component loading, with experience defined on the fly. The method, widely known as computational experience, employs computational design principles in user experience design. Based on user behavior and choices, analytics data is gathered, analyzed, and used to change the loaded application flow and user experience components. The Computational Experience employed in the application is supposed to provide genuine hyper customization by providing a unique experience to each user interacting with the app.