A technique for personalizing content for users based on their behavior is known as behavioral targeting. This approach analyzes user interactions, preferences, and historical data to customize content, advertisements, and recommendations. By using analytics and machine learning, platforms can deliver more relevant experiences, increasing user engagement and conversions. Behavioral targeting relies on data collection tools, such as cookies and tracking pixels, to provide insights into user behavior across different channels.