Behavioral analytics reveals insight into how users act on online games, eCommerce platforms, websites, mobile applications, etc. Besides the usual ‘page views’ or monthly activity, this type of analytics shows how engagement with a product impacts revenue, conversion, retention, and the outcomes that interest you. Understanding this type of analytics is crucial in order to increase retention, engagement, and ultimately help your business prosper and increase revenue.
This type of analytics uses massive amounts of raw user event data which is captured during session in which users are active on a website, game, app, etc. This includes everything from traffic data, clicks, purchasing decision, social media interactions, and marketing responsiveness. The data is then complied and get analyzed, allowing for future trends and actions to be predicted. There are different types of behavioral analytics designed for specific purposes and specific platforms. For example, when ti comes to online gaming, it is important to predict user preferences in future release and trends. When it comes to retail and eCommerce platforms it is important to analyze product recommendations and predict future sales trends.
Ideally, a behavioral analytics solution includes real time capture of massive amounts of raw data across all platforms that were used during sessions, a visualization component, extensive library of analysis functions (for example, path, cohort, and funnel analysis), automatic aggregation of event data into relevant data sets, and the ability to query data into different ways.
User behavior analytics have at their core “events”, which represents the action the users perform when using your product (for example, watching a video, making a purchase, opening an app, etc.). You will need to understand the user’s challenges, insight into which features your customers are using and which ones they do not, and you also need to understand how customers get the … Read More ...Read More →