![]() ![]() Health & wellness apps are also at the forefront of using granular level data to accomplish hyper-personalization. Another potential format would be responsive content, which reacts to users in real-time, potentially altering or fast-forwarding content to keep the viewer’s interest. Rather than relying on basic information such as viewing history or purchasing history, user-entered preferences and the time of day, content providers will explore advanced tools like facial recognition software that can decipher users’ emotions to make highly accurate recommendations. It is anticipated that content providers will achieve even more symbiotic user relationships in the future by personalizing the users experience of the product itself. Netflix uses vast quantities of data and AI algorithms to ensure its viewing recommendations successfully match the thought processes of users. For example, streaming services like Netflix have been pioneering in making personalization a customer norm. Companies are increasingly exploring innovative ways they can engage with users on a greater personal level. The race toward delivering the most hyper-personalized smartphone experience is intensifying.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |