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Programmatic Analytics

Pixalate’s Analytics enables you to transact confidently using a scaled, omnichannel platform for fraud, brand safety, and display viewability. We monitor over 5+ million apps, 80 million domains, and 300+ million OTT devices - detecting over 40 types of invalid traffic (IVT) across Connected TV (CTV), Mobile Apps, and Website formats - to give you the industry’s only complete coverage platform.
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Actionable Analytics

We go beyond traditional analytics to give you the accuracy you are looking for in programmatic advertising.
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Pixalate Analytics

Supply Path Optimization

Pixalate introduces “Supply Path Quality” (SPQ) the programmatic ad industry’s first Supply Path Optimization analytics platform for ad fraud, inventory quality, and arbitrage risk mitigation — powered by Pixalate’s analysis of the Supply Chain Object (SCO) from the bidstream.
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SPO

Unique to Pixalate

Better diagnose display viewability, brand safety, and fraud issues with unique, omnichannel detection technology that analyzes over 2 billion IP addresses across IPv4 and IPv6 monitored and 5+ million apps across every stage of the ad process.
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Pixalate Analytics

Monitor Ad Fraud

Monitor how well your fraud efforts are working, what invalid traffic (IVT) types you are exposed to, Pixalate detects and reports more than 40 types of invalid traffic (IVT), including sophisticated invalid traffic detection (SIVT) - most commonly attributable to malicious ad fraud - and holds Media Rating Council, Inc. (MRC) Accreditation across 20+ measurement areas (over 45+ reported metrics), including 12 distinct Server-Side Ad Insertion (SSAI) measurement metrics.
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Pixalate Analytics

Developer API

Block invalid traffic more effectively with post-bid analytics dashboards and APIs that show where, when and how new fraud sources are coming through.
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MRC Accreditations

Pixalate was the first company to obtain MRC Accreditation for SIVT detection & filtration across CTV environments in 2018. Since this time, Pixalate has dedicated significant effort to obtaining and retaining MRC Accreditation across a significant suite of measurement areas and metrics, including certain of which, are considered industry-firsts and unique to Pixalate (i.e., Pixalate's 12 SSAI measurement metrics).

Pixalate is currently MRCaccredited across 20+ measurement areas (over 45+ unique measurement metrics), including:

  • CTV: Video SIVT detection and filtration; video served ad impressions;
  • Mobile In-App: Video and display SIVT detection and filtration; video and display served ad impressions; display viewability
  • Mobile Web: Display and video SIVT detection and filtration; display and video served ad impressions; display viewability
  • Desktop: Display and video SIVT detection and filtration; display and video served ad impressions; display viewability
  • 12 unique Server-Side-Ad-Insertion ("SSAI") measurement metrics across desktop, mobile web, mobile in-app, and CTV environments.
Click here for the complete list of Pixalate’s MRC accreditations.
 
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Pixalate MRC Accreditations

Get More Infomation

Download our Analytics overview to find out more about how to safeguard your reputation, media spend, and campaign success.
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Disclaimer: The content of this page reflects Pixalate’s opinions with respect to the factors that Pixalate believes can be useful to the digital media industry. Any proprietary data shared is grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. Any references to outside sources should not be construed as endorsements. Pixalate’s opinions are just that - opinion, not facts or guarantees.

Per the MRC, “'Fraud' is not intended to represent fraud as defined in various laws, statutes and ordinances or as conventionally used in U.S. Court or other legal proceedings, but rather a custom definition strictly for advertising measurement purposes. Also per the MRC, “‘Invalid Traffic’ is defined generally as traffic that does not meet certain ad serving quality or completeness criteria, or otherwise does not represent legitimate ad traffic that should be included in measurement counts. Among the reasons why ad traffic may be deemed invalid is it is a result of non-human traffic (spiders, bots, etc.), or activity designed to produce fraudulent traffic.”

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