DoubleVerify Holdings, Inc. (DV) reports developments in digital media measurement, data and analytics for advertisers and global brands. The company operates a media effectiveness platform that uses AI to verify media quality, optimize ad performance and measure campaign outcomes across programmatic channels, social media, streaming TV, CTV and digital publishers.
Recurring announcements cover financial results, AI-based verification products such as DV AI Verification and AI SlopStopper, attention measurement through DV Authentic Attention, reporting through DV Pinnacle, and market research derived from DV measurement data. Company updates also address MRC accreditations, platform integrations such as TikTok measurement, CTV fraud and transparency studies, streaming TV partnerships, investor conference participation and share repurchase activity.
DoubleVerify (NYSE: DV) has released its 2025 Global Insights: North America Report, analyzing over one trillion ad impressions across desktop, mobile, and CTV platforms. The report reveals significant trends in digital advertising, including a 101% year-over-year surge in bot fraud across North America, with the U.S. experiencing a 106% increase.
Key findings show that 77% of marketers ranked social media reels as top-performing channels, followed by social feeds (75%), CTV (69%), and commerce media networks (67%). Consumer digital leisure content consumption averaged 3.8 hours daily, though 41% reported using ad blockers. The report also highlights that AI-powered invalid traffic increased 86% year-over-year in 2H 2024, with 16% attributed to legitimate AI tools like GPTBot and ClaudeBot.
Authentic Viewability in North America reached 71%, showing a 3% annual increase, driven by improvements in desktop video (4%) and CTV video (16%).DoubleVerify (NYSE: DV), a software platform specializing in digital media measurement, data, and analytics, has scheduled its second quarter 2025 financial results announcement for Tuesday, August 5, 2025.
The company will release its financial results after market close, followed by a conference call and webcast at 4:30 p.m. ET. Management will discuss financial results, recent developments, and provide a business outlook during the call, which will be accessible via toll-free numbers and through the company's investor relations website.
DoubleVerify (NYSE: DV) has announced the launch of DV Authentic Attention® for Social, starting with Snap. This first-of-its-kind attention measurement solution combines DV's ad exposure data with Lumen Research's eye-tracking insights to provide comprehensive attention metrics for social media advertising.
The new solution offers three key metrics: Ad Focus to evaluate eye gaze capture, Dwell Time to measure attention duration, and Attention Index for benchmarking against industry peers. This expansion brings DV's attention measurement capabilities across social media, connected TV (CTV), and the open web, enabling advertisers to better assess media performance on Snapchat and make more informed budget decisions.
The product is now globally available on Snapchat, with additional platform integrations planned throughout 2025. This release builds upon DV's existing measurement capabilities on Snapchat, which include fraud, brand suitability, and viewability measurement.
DoubleVerify (NYSE:DV) has uncovered ShadowBot, a fraudulent bot scheme that generated over 35 million spoofed mobile devices in Q1 2025, costing unprotected advertisers an estimated $2.5 million since early 2025. The scheme targeted mobile and Connected TV (CTV) environments using basic automation techniques.
DV's Fraud Lab identified five key red flags: outdated screen resolutions, abnormal traffic volumes, suspicious IP proxies, uniform impression counts, and impossible user engagement patterns. Despite its amateur nature, the scheme highlighted vulnerabilities in emerging media types, particularly mobile and CTV environments.
The discovery demonstrates DoubleVerify's capability to protect advertisers through its AI-powered Fraud Lab, which detects both sophisticated and basic fraud schemes by identifying deviations from normal user behavior.