This week's review of ad fraud and privacy in the digital advertising space.
You can download the reports below:
We also released the Q3 2024 Connected TV (CTV) Malformed and Fraudulent Bundle IDs Risk Reports for Amazon Fire TV, Roku, Apple TV, and Samsung Smart TV.
Our data science team analyzed over 2.2 billion open programmatic advertising impressions across over 12k CTV Bundle IDs mapped to over 5k unique CTV apps in September 2024.
You can download the reports below:
The Q3 2024 Global Click Fraud Benchmarks Reports examine how many clicks on open programmatic advertisements were invalid or fraudulent. This report is based on 39 billion open programmatic transactions across over 71 million mobile and desktop websites, and over 400K mobile apps.
We released the September 2024 Open Programmatic Ads and No Detected Privacy Policy Benchmarks Reports, part of Pixalate’s Privacy Violation Risks in Mobile Apps series. The report reveals new findings on the number of Google Play and Apple App Store hosted apps enabled for open programmatic advertising but have no detected privacy policies.
You can download the reports here:
The Website Publisher Trust Indexes are a global approach to quality measurement and monthly rankings of the world’s websites, designed to bring unprecedented transparency to the open programmatic advertising ecosystem.
You can download the reports here:
Pixalate's Trust & Safety Advisory Board regularly publish manual reviews where they assess an app’s child-directedness:
You can search Pixalate's full catalogue of reviews in our CTV and Mobile App Review Page.
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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.”