Network equipment log
Internet Browsing Patterns
Network equipment log
Internet Browsing Patterns
Subscriber profiles
Gender
Binary classification (male/female)
Real time update
87%
ACCURACY
Age
For subscribers 18-50 years old
Real time update
±3Y
DEVIATION
Interests
Interests, professions, hobbies and more
Real time update
1500+
INTERESTS
Apps used
Distinguish between certain app users
Real time update
10K+
APPS
Sites visited
Specific site visitors
Real time update
30K+
SITES
Locations
Home, Work, Current locations
Daily update
3
LOCATIONS
Languages
Languages that the audience understands
Daily update
147
LANGUAGES
Credit Score
3-tier income separation, improve scoring.
Daily update
5%
IMPROVEMENT
Custom
Custom attribute can be assembled
Privacy first: 4 pillars of data protection
Locality
Minimization
As a GDPR compliant data processor only a minimal amount of information is being processed and stored.
Anonymization
All data is being anonymized upon receiving.
Privacy
Open APIs allow Telecom Operator to filter any data prior to reaching our servers or control it’s precision.
Targeted advertising
Matching every single subscriber with the right ad at the very moment!
Credibility Scoring
Preventing bad credit records, targeting new creditworthy customers!