Mobile DSP Pocketmath recently partnered with Pixalate to leverage our Data Intelligence solutions to reduce fraudulent traffic from entering their supply chain. Utilizing Pixalate’s IP and Mobile Device ID black lists, Pocketmath aims to provide clean traffic to their network of direct advertisers.
The early results are in, and they are remarkable. In the first 90 days of this partnership…
Pocketmath blocked close to 3 BILLION QUESTIONABLE IMPRESSIONS pre-bid.
More than 8 MILLION DEVICE IDs were blocked as fraudulent.
More than 13 MILLION UNIQUE IP ADDRESSES were also blocked as fraudulent.
Moreover, Pixalate’s data intelligence feeds enabled Pocketmath to identify potential fraud inventory levels for their exchange partners.
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.”