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Pixalate
Market-leading fraud protection, privacy, and compliance analytics platform for Connected TV, Mobile Apps, and Websites

What is Pixalate?

Pixalate provides a comprehensive fraud protection, privacy, and compliance analytics platform designed for Connected TV (CTV), Mobile Apps, and Websites. The platform utilizes artificial intelligence to analyze over 5 trillion data points monthly across millions of apps, domains, and devices, detecting over 35 types of invalid traffic (IVT) to ensure advertising quality and transparency.

The solution offers programmatic analytics, ad fraud blocking, and media ratings through tools like the Media Ratings Terminal and Publisher Trust Indexes. Pixalate helps organizations fight ad fraud, reduce clawbacks, and maintain compliance with regulations like COPPA while providing real-time authentication and brand safety insights across the digital advertising ecosystem.

Features

  • Ad Fraud Detection: Identifies over 35 types of invalid traffic (IVT) across CTV, mobile apps, and websites
  • Compliance Analytics: Provides privacy and regulatory compliance monitoring including COPPA compliance technology
  • Programmatic Analytics: Offers omnichannel platform for fraud, brand safety, and display viewability analytics
  • Media Ratings Terminal: Analyzes 2 trillion data points monthly across web properties with privacy and risk insights
  • Publisher Trust Indexes: Provides 200+ unique rankings for CTV and mobile apps based on analysis of 5+ million apps
  • Pre-bid Blocking: Prevents invalid traffic from 5+ million apps, 80 million domains, and 300+ million OTT devices
  • Real-time Authentication: Authenticates CTV Bundle IDs in programmatic bid requests for supply chain transparency

Use Cases

  • Detecting and preventing ad fraud in programmatic advertising campaigns
  • Ensuring COPPA compliance and children's online privacy protection
  • Analyzing publisher quality and traffic authenticity across digital platforms
  • Monitoring brand safety and viewability metrics for advertising investments
  • Researching invalid traffic patterns and fraud indicators for security teams
  • Evaluating supply chain transparency and authorized sellers in programmatic buying
  • Ranking mobile apps and CTV applications based on trust and quality metrics

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