What type of use-cases do edge-segmentation-enabled datastreams support?

Edge-segmentation-enabled datastreams are primarily utilized for page-to-page personalization. This process involves dynamically adjusting the content presented to users based on their behaviors, preferences, and real-time interactions across different pages on a website or application. By leveraging edge-segmentation, businesses can enhance user engagement and improve the overall customer experience by providing tailored content that resonates with individual users.

In contrast, historical data analysis often relies on broader datasets that summarize past performance rather than focusing on real-time interactions. Reporting and metrics generation typically involves aggregating data for analysis rather than providing immediate personalized experiences. Single event logging is more about tracking discrete actions or events rather than tailoring content in real-time across various pages. Therefore, the focus on delivering personalized experiences driven by real-time data makes page-to-page personalization the correct application for edge-segmentation-enabled datastreams.