MOBTAR

Beyond mobile geo based advertising and research, there is now a solution that can profile and target users by their demographics, attitudes and behavior.

  • Stage Prototype Ready
  • Industry Marketing / Advertising
  • Location London, United Kingdom
  • Currency USD
  • Founded November 2013
  • Employees 6
  • Website MOBTAR.com

Company Summary

MOBTAR has launched a proprietary algorithm to capture human behavioral mobile data, from a range of sources, providing the means to segments the users by their geographic, demographic and psychographic behavior, for targeted advertising and opinion research.

Roll out is now planned, to create a mobile community of 1 million users that can be used as a template overlay for lookalike targeted message delivery.

Team

  • Has worked with Big Predictive Data Analytics and Mobile Ap Development start-ups for the last few years. Before that he was involved in a number of web start-ups, and has a background of managing and implementing interrelation databases. He has a wealth of experience in corporate expansion, acquisitions, takeovers and restructurings, and has held executive roles on the board of private equity and public ventures.

  • Mitchell Barak
    President Sales for Research and Public Opinion

    Called “one of Israel’s savviest pollsters” he has conducted survey research projects, in a variety of countries and languages. His surveys or opinions have been widely quoted in leading media outlets including, Newsweek, The New York Times, The Wall Street Journal, The Economist, FOX News, and Al Jazeera. Mitchell has also worked with Israeli President Shimon Peres, Prime Ministers Ariel Sharon, Benjamin Netanyahu, and Yitzhak Shamir.

  • Chief Scientist

    Chairman of the Bar-Ilan University Psychology Department, has a PhD from Columbia University in 1972 and an interest in organizational behaviour. He heads the Mobtar data science team and oversees the development of the proprietary Big 5 Psychometric Profiling, Data Mining, and Predictive algorithms.

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