Behavioral analytics:

Behavioral analytics involves collecting and analyzing data related to human behavior to understand and predict customer or user behavior. This process is used by businesses, organizations, and governments to gain insights into user behavior from various digital interactions, such as website visits, social media activity, and mobile app usage. By detecting patterns in behavior and predicting future behavior, behavioral analytics can help organizations adjust their strategies accordingly.

The data collected from behavioral analytics can provide valuable insights into user behavior, such as which website features are used most frequently or when customers are most likely to make a purchase. This information can help organizations optimize their website or mobile app to better meet the needs of their users. By using machine learning algorithms to analyze historical data, businesses, and organizations can also predict future behavior and adjust their strategies to improve customer or user engagement. Overall, behavioral analytics can be a powerful tool for businesses and organizations seeking to better understand and predict user behavior.