1. 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

2. 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