Pixalate Releases Top 8 Samsung Connected TV (CTV) Ad Fraud Types in Q1 2024: ‘Bundle ID’ Spoofing is No. 1, Accounts for 43% of Invalid Traffic (IVT)
26 Abril 2024 - 10:46AM
Pixalate, the market-leading fraud protection, privacy, and
compliance analytics platform for Connected TV (CTV) and Mobile
Advertising, today released the Top 8 Samsung Smart TV Connected TV
(CTV) Ad Fraud Types in Q1 2024. Pixalate also released Amazon Fire
TV, Apple TV, and Roku versions of the report.The report covers
invalid traffic (IVT) and ad fraud across CTV app stores, including
the number of distinct apps impacted. To compile the research in
this series, Pixalate’s data science team analyzed over 6 billion
open programmatic advertising impressions across 6k+ mapped CTV
apps in Q1 2024. IVT types are rated most common according to the
share of invalid traffic within each CTV app store.
Top Ad
Fraud Types on Samsung Smart TV Apps in Q1 2024
- Bundle ID (App) Spoofing (43%) is the most
common of the 8 IVT types identified
- Impacted 213 distinct apps on Samsung Smart TV
App Store
- Invalid SSAI (Proxy) (30%) is the second most
common IVT type
- Impacted 162 distinct apps on Samsung Smart TV
App Store
Download the full report.For the purposes of this report,
“Bundle ID (App) Spoofing'' indicates impressions in which the app
identifier reported to the exchange does not match the
characteristics of the app detected by Pixalate. “Proxy” is defined
as impressions from an intermediary proxy device that exists
to manipulate traffic counts, pass non-human or invalid traffic,
or fails to comply with the protocol. For more information on IVT
types, visit Pixalate’s IVT knowledge base.Top CTV Ad Fraud
Types by Platform
- Samsung Smart TV
- Amazon Fire TV
- Apple TV
- Roku
Pixalate is MRC-accredited for the detection and filtration of
Sophisticated Invalid Traffic (SIVT) across desktop and mobile web,
mobile in-app, and Connected TV (CTV). All of Pixalate’s MRC
accredited measurement areas can be found here.For more information
on IVT types, visit Pixalate’s IVT knowledge base.
About PixalatePixalate is a global platform
specializing in privacy compliance, ad fraud prevention, and
digital ad supply chain data intelligence. Founded in 2012,
Pixalate is trusted by regulators, data researchers, advertisers,
publishers, ad tech platforms, and financial analysts across the
Connected TV (CTV), mobile app, and website ecosystems. Pixalate is
accredited by the MRC for the detection and filtration of
Sophisticated Invalid Traffic (SIVT). pixalate.com
DisclaimerThe content of this press release,
and the CTV’s Most Common IVT Types Report, reflects Pixalate’s
opinions with respect to the factors that Pixalate believes can be
useful to the digital media industry. Any 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, 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 the time
period studied. Per the Media Rating Council (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.” Where
the traffic characteristics are suggestive of deliberate intent to
mislead, such IVT is often referred to as “ad fraud.” Also 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.”
Nina
Pixalate Inc.
ntalcott@pixalate.com