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Webinar: CTV Ad Fraud Prevention: Learn How Pixalate Helps Amazon DSP Customers Protect Against Fraud

Amazon DSP Webinar

Join Pixalate for a webinar on April 21, 2022, at 12 pm ET (UTC-4), to learn more about ad fraud prevention using Amazon DSP in your marketing campaigns across CTV and mobile apps.

Ad fraud has become a huge problem with over 200B* in digital advertising spend in 2021 and $59B** lost to ad fraud. So it is very important to understand how to protect your Amazon marketing campaigns from losing these dollars.

Pixalate recently teamed up with Amazon to add the ability to add Pixalates ad fraud protection inside Amazon DSP.  Learn from us - the ad industry’s leading pioneers in ad fraud protection - about what ad fraud is, why this is a problem and how to prevent ad fraud in your Amazon DSP marketing campaigns.

Presented by:

  • Amit Shetty, VP of Ad Fraud Platform, Pixalate
  • Calvin Scharffs, VP of Business Development, Pixalate

What you'll learn:

  • What are the different types of ad fraud IVT (GIVT and SIVT)
  • Why is Ad Fraud a problem in CTV and Mobile Apps?
  • Why is it important not to advertise on delisted mobile apps from the Google Play and Apple App stores?
  • How are they measured?
  • Tips to prevent ad fraud
  • How to prevent ad fraud with Pixalate when using Amazon DSP
  • And more

Register today!

* = 2021 ANA research,  ** = Juniper research

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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.”

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