According to Pixalate research, ‘Proxy’ accounts for 57% of invalid traffic globally on Samsung Smart TV and 50% on LG Smart TV
LONDON, June 9, 2026 -- Pixalate, an ad fraud and privacy compliance platform, today released the May 2026 Most Common Connected TV (CTV) Apps Ad Fraud Types Report. The report examines the most common types of invalid traffic (IVT) found globally on Amazon Fire TV, Roku, Apple TV, LG Smart TV, and Samsung Smart TV CTV apps.
Pixalate’s data science team analyzed over 2.5 billion open programmatic advertising impressions across 4,000 CTV apps during the month of May 2026.
|
Rank |
Platform |
Region |
IVT Type |
IVT Share of Voice (SOV) - May 2026 |
|
1 |
Roku |
GLOBAL |
App Spoofing |
29% |
|
2 |
Roku |
GLOBAL |
Proxy |
26% |
|
3 |
Roku |
GLOBAL |
High Risk Device ID |
21% |
|
4 |
Roku |
GLOBAL |
High Risk IP |
7% |
|
5 |
Roku |
GLOBAL |
Device ID Stuffing |
5% |
|
Rank |
Platform |
Region |
IVT Type |
IVT Share of Voice (SOV) - May 2026 |
|
1 |
Samsung Smart TV |
GLOBAL |
Proxy |
57% |
|
2 |
Samsung Smart TV |
GLOBAL |
App Spoofing |
22% |
|
3 |
Samsung Smart TV |
GLOBAL |
High Risk Device ID |
12% |
|
4 |
Samsung Smart TV |
GLOBAL |
Device ID Stuffing |
4% |
|
5 |
Samsung Smart TV |
GLOBAL |
Datacenter Proxy |
2% |
|
Rank |
Platform |
Region |
IVT Type |
IVT Share of Voice (SOV) - April 2026 |
|
1 |
LG Smart TV |
GLOBAL |
Proxy |
50% |
|
2 |
LG Smart TV |
GLOBAL |
Device ID Stuffing |
18% |
|
3 |
LG Smart TV |
GLOBAL |
High Risk Device ID |
14% |
|
4 |
LG Smart TV |
GLOBAL |
Datacenter Proxy |
6% |
|
5 |
LG Smart TV |
GLOBAL |
App Spoofing |
5% |
|
Rank |
Platform |
Region |
IVT Type |
IVT Share of Voice (SOV) - May 2026 |
|
1 |
Apple TV |
GLOBAL |
App Spoofing |
64% |
|
2 |
Apple TV |
GLOBAL |
Proxy |
19% |
|
3 |
Apple TV |
GLOBAL |
High Risk Device ID |
7% |
|
4 |
Apple TV |
GLOBAL |
High Risk IP |
2% |
|
5 |
Apple TV |
GLOBAL |
Device ID Stuffing |
1% |
|
Rank |
Platform |
Region |
IVT Type |
IVT Share of Voice (SOV) - May 2026 |
|
1 |
Amazon Fire TV |
GLOBAL |
App Spoofing |
58% |
|
2 |
Amazon Fire TV |
GLOBAL |
Proxy |
17% |
|
3 |
Amazon Fire TV |
GLOBAL |
High Risk Device ID |
13% |
|
4 |
Amazon Fire TV |
GLOBAL |
High Risk IP |
4% |
|
5 |
Amazon Fire TV |
GLOBAL |
Device ID Stuffing |
2% |
Download the May 2026 IVT Types
About Pixalate
Pixalate 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
Disclaimer
The content of this press release, and the CTV’s Most Common Ad Fraud and 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.”