Activity Feed Personalization 101: Top Feed Features to Improve User Engagement

Stream offers a comprehensive personalization engine designed to enhance user experience by utilizing machine learning to create customized activity feeds. This process begins with a detailed kickoff meeting to understand client needs and data requirements, followed by a period of data collection to fine-tune the personalization algorithms. Stream's data scientists provide ongoing support through bi-weekly meetings to ensure the algorithms meet client goals and are continually improved. The personalized feed features include Discovery & Interest Feeds, AI Feed Ranking, Follow Suggestions, and Item Recommendations, all aimed at increasing user engagement and retention. Stream's technology allows for the development of highly individualized content recommendations, such as those used by Healthline's social network apps, and is particularly effective for e-commerce sites with community aspects. By leveraging detailed user interest profiles, Stream can also optimize email content to drive user re-engagement. Overall, Stream's data-driven approach aims to foster deeper connections between users and apps, enhancing community growth and engagement over time.