Digital ad fraud protection for brands, networks and agencies

(2 votes)
(2 votes)

TrafficGuard detects, mitigates and reports on ad fraud before it hits your digital advertising budget. Three formidable layers of protection block both general invalid traffic (GIVT) and sophisticated invalid traffic (SIVT) to ensure that digital advertising results in legitimate advertising engagement. With visibility of traffic across thousands of campaigns, TrafficGuard’s machine learning can identify emerging patterns, trends and indicators of fraud quickly and reliably.

Learn more about TrafficGuard’s comprehensive fraud mitigation for brands, agencies and ad networks at

Key features:

  • Triple layered fraud protection
  • Blocking fraud and invalid traffic at the impression, click and event levels
  • Granular reporting and transaction level exports
  • Dedicated reporting for traffic suppliers to drive optimization
  • Machine learning trained to find and validate new fraud tactics as they emerge

TrafficGuard Info

Platforms:Android, Desktop, IOS
Key Markets:Global
Types:Ad Fraud Prevention
Ad Formats:-
Trading Models:-
TrafficGuard News
TrafficGuard Insights
Latest Tweets from TrafficGuard:
  • TrafficGuardAI

    3 Days to go - we can't wait for #MWC19! If you're going to be there, book a meeting with us here…

    Retweet Reply Favorite (about 18 hours ago)
  • TrafficGuardAI

    What does best practice in #adfraud prevention look like? Check out our infographic to find out…

    Retweet Reply Favorite (about 2 days ago)
  • TrafficGuardAI

    Safeguard your #adspend from #adfraud, maximise #ROAS. Book a meeting with us to learn how at @GSMA #MWC19…

    Retweet Reply Favorite (about 7 days ago)
  • TrafficGuardAI

    We're looking forward to our workshop today at #MGS19 to discuss the role of #machinelearning in preventing zero-da…

    Retweet Reply Favorite (about 8 days ago)
  • TrafficGuardAI

    We're excited to be here at #MGS19 to help you fight #adfraud in your mobile campaigns! Find us in the sponsors are…

    Retweet Reply Favorite (about 9 days ago)
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