MOBTAR

<p>MOBTAR uses a revolutionary approach to capture human behavioral mobile data, from a range of mobile sources, providing them the means to segments the users by their geographic, demographic and psychographic behavior, for targeted advertising and research. After successful beta testing, a roll out is now planned to create a mobile community of 1 million active users that can be used as a template overlay for profiling other big data sources.</p> <p>MOBTAR gathers mobile data, by creating a two way interaction with multiple mobile data sources by which it profiles information on user&rsquo;s reactions and opinions, and segments them by their geographic, demographic and psychographic behavior. The anonymous user data that is gathered is then used for advertising, targeted surveys and an improved gaming experience.</p> <p>By creating a two way interaction with users MOBTAR receives unstructured data from the players&rsquo; responses and interaction with the apps, and can overlay different heterogeneous resources such as transactions, navigation history, social media connections, and buying patterns, to generate a bespoke profile vector, that can be used for segmentation based on demographic, geographic, psychographic, lifestyle and behavioural characteristics.</p>