DoubleVerify (DV) – a software platform for digital media measurement, data and analytics – announced Monday the launch of pre-bid video exclusion lists for TikTok. According to DoubleVerify, the release will allow advertisers to proactively avoid content they deem objectionable before their ads are served, with the aim to maximize media quality, campaign performance and advertising ROI.
According to DoubleVerify, the benefits include the combination of DV’s pre-bid controls with post-bid reporting to ensure end-to-end campaign measurement and optimization; pre-bid activation that requires no manual upkeep and auto-refreshes in near real-time; and assurance that ads do not appear next to objectionable content, reducing media waste and maximizing advertising ROI.
“This solution helps advertisers ensure that ads appear in environments that align with their brand settings – driving stronger engagement, maximizing ad performance and instilling greater confidence in their digital investments,” DoubleVerify CEO Mark Zagorski says.
DV’s solution is powered by its AI-powered Universal Content Intelligence classification engine. DV says it analyzes video, image, audio and text to deliver content classifications at scale and its key frame extraction method is a faster way to analyze video content. Instead of examining each video frame, key frame extraction focuses only on the most important moments where changes happen, according to DV.
DV’s automated pre-bid video controls and reporting insights are activated through DV Pinnacle, the company’s unified service and analytics reporting platform, enabling advertisers to monitor and optimize their TikTok ad campaigns.
Additionally, DV is enhancing its TikTok dashboard in DV Pinnacle, equipping brands with greater transparency into ad delivery and deeper insights for campaign optimization. Launching in the coming months, these updates will introduce pre-bid filtering, enabling brands to analyze reporting specifically for campaigns with pre-bid controls, along with content previews for flagged incidents.
