Analytics that reveals new insights into the behavior of consumers.

Behavioral Analytics is a recent advancement in business analytics that reveals new insights into the behavior of consumers on eCommerce platforms, online games, web and mobile applications, and IoT. The analysis focuses on understanding how consumers act and why, enabling accurate predictions about how they are likely to act in the future. It enables marketers to make the right offers to the right consumer segments at the right time. It utilizes the massive volumes of raw user event data captured during sessions in which consumers use application, game, or website, including traffic data like navigation path, clicks, social media interactions, purchasing decisions and marketing responsiveness. Also, the event-data can include advertising metrics like click-to-conversion time, as well as comparisons between other metrics like the monetary value of an order and the amount of time spent on the site. It allows future actions and trends to be predicted based on the collection of such data. Behavioral analytics is an area of data analytics that focuses on providing insight into the actions of people. Behavioral analytics is used in e-commerce, gaming, social media, and other applications to identify opportunities to optimize in order to realize specific business outcomes. User behavior analytics (UBA) is the tracking, collecting and assessing of user data and activities using monitoring systems. While UBA systems don’t take action based on their findings, they can be configured to automatically adjust the difficulty of authenticating users who show anomalous behavior.