mFilterIt

Full-Funnel Ad Traffic Validation Solution. Optimize App Campaigns Better

10
(1 vote)
(1) REVIEWS
10
(1 vote)
(1) REVIEWS

mFilterIt is a pioneer in the detection and prevention of ad fraud in apps. Trusted by accredited marketers across the globe, their solutions are powered by the capabilities of AI, ML, and data science. On a mission to bring trust & transparency to the digital advertising world, mFilterIt has helped 500+ clients across 15 countries. With their full-funnel approach and log-level fraud data, they have saved $400+ million for businesses and enabled them to make informed marketing decisions.

Key features

  • Machine learning-based algorithm to track repeat users, fake devices
  • Detects installs/events from blacklisted IPs, Bots & compromised devices
  • Tracks characteristics of individual devices for authenticity
  • Checks data patterns of each event to detect behavioral aspects

mFilterIt Jobs and Careers

mfilterIt News

Schedule a call with mFilterIt.

mFilterIt Features & Services

Features

  • App FilterX
  • Web FilterX
  • Lead FilterX
  • Programmatic FilterX

Services

  • Ad Traffic Validation
  • Brand Hygiene Protection
  • eCommerce Competitive Analysis
  • Mobile Identity Solution

Team

Amit Relan

Amit Relan co-founded mFilterIt with a vision of bridging the TRUST deficit which exists among stakeholders in digital advertising. Since then, the organization has been on an exciting journey of creating a reputed and authentic third-party brand ‘mFilterIt’ which neutrally validates the impact created through digital campaigns.

Office Locations

2nd floor, Sector 125

Noida, Uttar Pradesh 201313

India

Paras Downtown Centre, 5th Floor

Golf Course Rd, Sector 53

Gurugram, Haryana 122003

India

Internet City Building 10 - Al Sufouh - Al Sufouh 2

Dubai

United Arab Emirates

mFilterIt Data

Founded:-
Employees:201-500
Revenues:-
Social Presence:-
Website Traffic:-

Sources: Company Data, Press Reports, Linkedin, Twitter, Owler, SimilarWeb

mFilterIt Info

Types:Ad Fraud, Mobile Ad Analytics
Ad Formats:-
Models:-
Trading Models:-
mFilterIt Insights
Articles from the mFilterIt blog:
mFilterIt Competitors and Alternatives

mFilterIt Reviews

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