Refers to tools and methods used to measure how people interact with digital content, systems, or services. These approaches go beyond basic metrics such as the often-used number of clicks or pageviews. Increasingly, engagement analytics examine behaviors such as time spent at the site, scrolling pattens, interaction, and patterns of use.

This shift reflects growing recognition that access to information alone is not enough. Organizations across the learn-and-work ecosystem are seeking to understand whether information is actually used, understood, and applied. Examples of use of these analytics include:

• Monitoring how far users actually read a research report or policy brief.
• Identifying where learners disengage in online content.
• Improving advising, navigation, or user experience based on their interaction patterns.
• Testing different formats (e.g., summaries vs. full reports) to improve engagement.

User engagement analytics are enabled by a range of digital tools and platforms. Their value depends on how organizations use these approaches across sectors, which also use different terms for user engagement analytics:

• User Engagement Analytics is often the term used in education, educational tech, and workforce systems.
• Audience Engagement Analytics is typically used in media and publishing.
• Behavioral Analytics / User Behavior Analytics is often used in technology and product environments.