LONDON, September 30, 2024 -- Pixalate, the global market-leading ad fraud protection, privacy, and compliance analytics platform, today released the Q2 2024 Supply Path Optimization (SPO) Reports for web, mobile apps, and Connected TV (CTV). The reports use SupplyChain Objects (SCO) data to examine unauthorized sellers in the open programmatic advertising supply chain across CTV, mobile apps, as well as desktop and mobile web.
The SupplyChain Object (SCO) enables buyers and intermediaries to view all parties selling or reselling open programmatic advertising inventory. Numerous partners are often involved in open programmatic supply paths, which causes fragmentation and makes the ecosystem vulnerable to ad fraud attacks. Pixalate's latest report highlights the occurrence of unauthorized selling within the global programmatic supply chain despite ads.txt implementation.
Pixalate’s analysis includes a set of SCO verification checks as defined by Pixalate, utilizing IAB Tech Lab’s ads.txt/app-ads.txt standards, along with SCO data from the OpenRTB bid stream to evaluate the accuracy of declared supply paths in the ad bid stream.
Pixalate's data science team analyzed over 11 billion open programmatic ad impressions containing the OpenRTB SupplyChain Object (SCO) during Q2 2024 to compile this research. The data science team analyzed more than 340 CTV and Mobile apps, and over 380k web domains.
Download the complete Q2 2024 SupplyChain Object (SCO) Verification Reports:
About Pixalate
Pixalate is a global market-leading ad fraud protection, privacy, and compliance analytics platform. Pixalate works 24/7 to guard your reputation and grow your media value by offering the only system of coordinated solutions across display, app, video, and CTV for the detection and elimination of ad fraud. Pixalate is an MRC-accredited service for the detection and filtration of sophisticated invalid traffic (SIVT) across desktop and mobile web, mobile in-app, and CTV advertising. www.pixalate.com
Disclaimer
The content of this press release, and the SupplyChain Object Validation Report (the “Report”), reflects Pixalate's opinions with respect to factors that Pixalate believes can be useful to the digital media industry. Pixalate's opinions are just that, opinions, which means that they are neither facts nor guarantees. Pixalate is sharing this data not to impugn the standing or reputation of any entity, person or app, but, instead, to report findings and trends pertaining to programmatic advertising activity across mobile apps in the time period studied. As used herein, and per the MRC, “'Invalid Traffic' (IVT) 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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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.”