The world of fraud now a days is a bit like the Wild West. It is a relatively unclaimed market where people are cheating and stealing a lot of money. $6 Billion has already been stolen from Advertisers. As one Cyber Security company puts it, you don't know if you're getting "Bob Smith" or "Bot Smith". One of the main reasons for the success of fraudulent activity is because the advertising and publishing industry hasn’t fully articulated the various types of fraudulent threats they are exposed to, and ways in which they can be combated. An evil without a name is an evil that goes unnoticed.
That’s why we at, Pixalate, Inc. have taken it upon ourselves to inform the advertising and publishing world concerned about fraud, as to what types of ad-fraud they may be exposed to, and affiliate those types of fraud with memorable icons and characteristics that can be referred to in an easy, short handed way moving forward.
Pixalate, Inc., The Foremost Real Time Ad-Analytics & Optimization company proudly presents its new software employing big data to isolate and detect fraudulent activity in an unprecedented manner. Part of understanding the value of this software includes learning a new lexicon to become conversational with the various types of fraudulent activity.
Click Here to Download Ad Fraud's "Most Wanted" PDF.
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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.”