Integral Ad Science Holding Corp. Stock Price, News & Analysis

Integral Ad Science (IAS) has partnered with sustaintech platform Impact Plus to integrate carbon evaluation technology into IAS's media measurement platform. This integration enables advertisers to track and optimize both performance and sustainability metrics of their digital media campaigns in a single platform. The partnership comes as businesses face new environmental reporting requirements under California's Climate Corporate Data Accountability Act and EU's Corporate Sustainability Reporting Directive. The collaboration will provide campaign-level emissions data alongside media quality and attention metrics in IAS reports, helping marketers make data-driven decisions that balance campaign effectiveness with environmental impact. This integration represents IAS's commitment to sustainable digital advertising while maintaining focus on campaign performance.

Integral Ad Science (IAS) has appointed Alpana Wegner as its new Chief Financial Officer, effective June 10, 2025. Wegner, who brings over 25 years of financial leadership experience, will lead the global finance team and report to CEO Lisa Utzschneider. She succeeds Interim CFO Jill Putman, who has served since January 2025. Wegner previously served as CFO at Secureworks, where she led a successful business transformation prior to the company's sale, and at Benefitfocus, where she strengthened the company's financial position. Her experience includes senior finance roles at Blackbaud and expertise in FP&A, accounting, and M&A. Wegner holds a B.S. in Accounting from Arizona State University.

Integral Ad Science (IAS), a global media measurement and optimization platform, has announced that CEO Lisa Utzschneider will participate in a fireside chat at the Baird 2025 Global Consumer, Technology & Services Conference. The event is scheduled for Thursday, June 5, 2025, at 10:15 a.m. ET. Investors and interested parties can access the live webcast and archived replay of the presentation through the company's investor relations website at investors.integralads.com.

IAS (Integral Ad Science) reported strong Q1 2025 financial results with total revenue increasing 17% to $134.1 million. The company achieved a net income of $8.0 million (6% margin) and adjusted EBITDA of $41.5 million (31% margin). Key revenue segments showed significant growth: optimization revenue up 24% to $64.8M, measurement revenue up 4% to $48.4M, and publisher revenue up 33% to $20.9M. International revenue grew 18% to $42.7M. The company announced several strategic partnerships and expansions, including TikTok Social Optimization, Reddit Total Media Quality, Google Search Partner Network, Spotify Podcast Tools, and Nextdoor Pre-Bid Partnership. Based on strong Q1 performance, IAS raised its full-year 2025 outlook, projecting total revenue of $590-600M and adjusted EBITDA of $204-210M.

Integral Ad Science (IAS) has announced a strategic partnership with Nextdoor (KIND) to provide AI-powered pre-bid brand safety and suitability optimization on the neighborhood network platform. IAS will power Nextdoor's first-party brand safety tool, ensuring ads are delivered in brand-suitable environments across Nextdoor's Newsfeed, which reaches one-third of U.S. households.

The partnership offers advertisers trusted third-party control with pre-bid blocking across 12 industry-aligned categories and 4 risk levels, custom dynamic control in over 90 languages, and AI-driven Multimedia Technology for content classification. Further expansion of the partnership is planned, with Total Media Quality (TMQ) for Nextdoor expected to launch in H2 2025.

Integral Ad Science (Nasdaq: IAS) has launched a new Pre-Screen Brand Safety Solution for Google's Search Partner Network (SPN). This solution enables advertisers to automatically exclude search partner sites based on industry-standard safety and suitability definitions before ads are displayed. The solution offers weekly updated domain filtering based on 12 industry-aligned standards, comprehensive coverage across Google's ecosystem, and support for all campaign types including Search, Shopping, Apps, and Performance Max. This launch builds on IAS's existing partnership with Google, following their 2024 releases of IAS Optimization for YouTube and expanded Brand Safety and Suitability Measurement capabilities.

Integral Ad Science (IAS) has partnered with Spotify to launch AI-driven Brand Safety and Suitability Features for podcast advertising on the Spotify Audience Network in the U.S. The solution provides podcast episode-level accuracy through AI technology that can classify audio content in 90+ languages. Key features include tailored brand safety targeting, pre-bid classification, and campaign-level reporting.

The partnership comes as U.S. podcast advertising revenue is projected to exceed $3 billion by 2027. The solution enables advertisers to set risk tolerance preferences, ensuring ads appear alongside content aligned with brand values. IAS's technology combines speech-to-text signals for content classification, offering advertisers greater control and transparency in podcast advertising.

Integral Ad Science (Nasdaq: IAS), a leading global media measurement and optimization platform, has scheduled its first quarter 2025 financial results announcement for Monday, May 12, 2025, after market close. The company will hold a conference call and webcast at 5:00 p.m. ET on the same day, where management will discuss the quarterly performance. Interested participants can register for the live Q&A session via dial-in, and a webcast replay will be available for those unable to attend the live event.

Integral Ad Science (IAS) has expanded its Social Optimization for TikTok by introducing pre-bid Video Exclusion Lists. This enhancement allows advertisers to have greater control over their brand-suitable ad placements on the platform.

The new feature works in conjunction with TikTok's Inventory Filter, offering pre-bid granular exclusions powered by IAS's multimedia technology. Advertisers can combine this with IAS's AI-driven Total Media Quality (TMQ) for post-bid measurement, accessing Brand Safety and Suitability, Viewability, and Invalid Traffic detection across 75+ markets in 30+ languages.

Key features include: enhanced customization for brand-specific needs, inventory filter support, comprehensive global coverage, easy activation through IAS Signal, and frame-by-frame analysis using AI-driven Multimedia Technology.