Programmatic
Pixalate
Pixalate is an advertising fraud protection, privacy, compliance, and marketplace intelligence platform. It analyzes websites, mobile apps, connected television apps, domains, devices, and programmatic transactions to identify invalid traffic, risky supply, malformed identifiers, privacy concerns, brand-safety issues, and other quality signals, offering analytics, ratings, APIs, and pre-bid blocking products. It fits advertisers, publishers, platforms, regulators, and researchers that need supply-chain risk data beyond basic campaign reporting, particularly in mobile and connected television environments.
What it does
Pixalate is a media-quality and ad-fraud intelligence platform that rates and inspects the supply side of digital advertising. It continuously analyzes websites, mobile apps, CTV apps, domains, devices, and programmatic transactions to flag invalid traffic, spoofed or risky supply, malformed identifiers, privacy and compliance concerns, and brand-safety issues. The output comes as ratings, dashboards, APIs, and pre-bid blocking products that buyers and sellers wire into their stacks to avoid paying for or selling worthless impressions. It is especially focused on mobile and connected television, where app-level transparency is thin, and is used not only by advertisers and publishers but also by platforms, regulators, and researchers who need supply-chain risk data that standard campaign reporting does not surface.
Where it fits
Pixalate works at the analytics and optimization stage, scoring inventory quality so buyers and sellers can block fraud before and after the auction.
Core features
- Invalid-traffic and ad-fraud detection across web, app, and CTV
- Supply-quality ratings for domains, apps, and devices
- Pre-bid blocking and APIs for programmatic integration
- Privacy and compliance risk analysis (COPPA, GDPR signals)
- Marketplace intelligence reports for mobile and connected TV
Best for
- Advertisers filtering invalid traffic before bidding
- Publishers and platforms auditing their own supply quality
- Researchers and regulators needing supply-chain risk data
Beginner notes
- Decide whether you need pre-bid blocking, post-bid measurement, or both; they integrate at different points in the bidstream.
- CTV and mobile app fraud differ from web bots, so prioritize the environments where you actually spend.
- Treat ratings as risk signals to investigate, not automatic verdicts, and confirm before cutting off meaningful supply.