Sample Analytics Categories Data usage Number of users, data usage per user, etc. Time spent on sponsor app Points of interest on sponsor app New users, repeat users, etc. Mobile Data Usage Analytics 1 Frequency of Top-Up Size of Top-Up Spending power estimation based on Top-Up Top-Up Behavior 5 Analytics related to particular business logic or need (designed by the sponsor) Frequency/duration of use on competitive solutions Custom Analytics 6 Analytics based on Location Tracking 2 Location map of where the phone was used Time spent near/in a branch or retail outlet Traveling or in-home location 3 Analytics based on App Usage on Device Track data usage of sponsor apps – when, where and how much, how many times Track data usage of other apps – when, where, how much Profile of user based on app usage – for e.g. travel apps, bank apps, music apps, news apps, taxi apps, etc. FUTURE data points 7 Type of travel the user may use (based on geo-tracking) Analytics based on DPI – Profile based on domains visited – for e.g. bank domains, payment domains, etc. Browser based analytics e.g. search data, browsing data Analytics based on Social Media – involves integrating with social media (e.g. Facebook) and asking the user to like the sponsor page How many actions completed per week Frequency of visiting Activity Center Open Phone Action Tracking 4 Datami | Proprietary & Confidential 2018

Dashboard Analytics Sponsors will receive robust customer analytics, tracking & behavioral data through Open Phone Open Phone Dashboard will provide detailed tracking and analytics for Premium Sponsors Track user behavior across the device—including geolocation, app behavior and more-–for robust customer analytics and behavioral tracking to improve business intelligence Datami | Proprietary & Confidential 2018