Programmatic ad fraud is rampant throughout the digital ecosystem, with over one-third (35%) of ad impressions in the U.S. proving fraudulent in Q1 2017.
But as we've seen throughout our series of blog posts benchmarking Q1 2017 ad fraud rates, fraud can vary depending on a number of factors, including location, device, app vs. web, software, ad unit size, and even browser type.
Today's data examines how a publisher's vertical can have an impact on ad fraud rates.
According to our research, fraudsters are much more active in certain domain categories compared to others. Some key findings:
The role of "context" in programmatic advertising has been a question for the better part of a decade, but this study proves that context certainly still matters when it comes to detecting and preventing ad fraud. Of course, fraudsters are active across the entire digital ad ecosystem, but they tend to congregate in certain areas. For example, ad fraud is nearly 4x as likely to occur within the Society & Culture vertical as it is in the Science vertical.
As publishers and marketers strike more programmatic deals — including programmatic direct deals, which intend to keep context alive alongside the benefits of data-driven targeting — the potential impact a vertical has on ad fraud should not be overlooked.
This post is part of an ongoing series highlighting Pixalate's Quarterly Global Ad Fraud Benchmarks for Q1 2017. Sign up for our blog to learn more.
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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.”