Pixalate finds IVT rates continue to be lower on virtual Multichannel Video Programming Distributor (vMVPD) apps at 9.7% compared to non-vMVPD apps at 18.9%
LONDON, June 16, 2023 – Pixalate, the global market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising, today released the Roku vMVPD Traffic Analysis Report for Q1 2023. The report digs deep into vMVPD apps - such as Sling TV and XUMO - to surface programmatic advertising-related insights on Roku devices.
Key Takeaways:
Top vMPVD apps on Roku:
Download Pixalate’s vMVPD traffic analysis and the list of the most popular vMVPD apps on Roku devices:
Click here for a similar analysis of vMVPD apps on Amazon Fire TV devices.
About Pixalate
Pixalate is the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising. We work 24/7 to guard your reputation and grow your media value. Pixalate offers the only system of coordinated solutions across display, app, video, and CTV for better detection and elimination of ad fraud. Pixalate is an MRC-accredited service for the detection and filtration of sophisticated invalid traffic (SIVT) across desktop and mobile web, mobile in-app, and CTV advertising. www.pixalate.com
Disclaimer
The content of this press release, and the vMVPD Traffic Overview Report (the “Report”), reflect Pixalate's opinions with respect to factors that Pixalate believes may be useful to the digital media industry. Pixalate’s opinions are just that, opinions, which means that they are neither facts nor guarantees; and neither this press release nor the Report are intended to impugn the standing or reputation of any entity, person or app, but instead, to report findings and apparent trends pertaining to CTV apps from the Roku and Amazon Fire TV app stores. Pixalate's datasets — which are used exclusively to derive these insights — consist predominantly of buy-side open auction programmatic traffic sources. Pixalate uses ad sales data from such datasets as a proxy for “ad spend” as referenced herein and in the Report.
