This week's review of ad fraud and privacy in the digital advertising space:
This week we released the Q1 2024 Global Click Fraud Benchmarks Reports for desktop web, mobile web, and mobile in-app advertising. Our data science team analyzed 42B+ open programmatic transactions across 145+ million mobile and desktop websites, and 425K+ mobile apps to compile the research in this series.
You can download the reports here:
Pixalate has announced the opening of its new Singapore office to expand its local presence and partnerships in the Asia-Pacific (APAC) region.
Alvin Ling, a Singapore native with 20+ years of deep technical expertise pioneering digital advertising innovations in the region, will lead Pixalate’s APAC team as Vice President of Sales and Operations.
Read the full press release on the announcement 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
Pixalate's research was cited by MediaPost this week in their press release titled $1.4B Lost To Mobile In-App Ad Fraud In Q1 2024.
"Advertisers seem to have squandered large amounts of money in the first quarter of 2024. Some $1.4 billion was lost to mobile in-app ad fraud, per Pixalate’s estimates, but data shows budgets were also impacted in other media.
The company’s data-science team analyzed more than 19 billion global open programmatic advertising impressions across desktop and mobile web in Q1 2024 to compile this research."
Check out MediaPosts full press release here
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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.”