In the highly competitive world of app development it is crucial to understand how end users are interacting with applications. TappingStone analyses user information that is pulled from an application via the TappingStone API and provides a set of predictions that could allow an application to adapt in real-time. TappingStone could, for example, decide what users in a freemium setting are likely to become paid customers and offer them a promotion to ensure they stay around.
The ability to analyze information and use the results to make more informed decisions is something that interests a lot of people. Developers, publishers, and small to large business owners all collect an overwhelming amount of data pertaining to the work that they do. Employing a staff of analysts to sift through the onslaught of what can sometimes seem to be useless information is obviously one way to solve this problem, ‘Machine Learning’ is another.