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

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 (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.

Integral Ad Science (IAS) has expanded its partnership with Reddit to enhance third-party measurement capabilities for advertisers. The expanded Total Media Quality for Reddit now includes Viewability and Invalid Traffic Measurement across Reddit's 100,000+ communities.

The solution provides advertisers with greater transparency through third-party analysis, comprehensive reporting via IAS Signal platform, and best-in-class AI-driven Multimedia Technology for content classification. The service covers measurement across web and in-app, video, and display campaigns for Reddit's Feed, Conversation, and Takeover placements.

This expansion follows the January 2025 launch of Brand Safety and Suitability Measurement. IAS's AI technology is integrated into Reddit's inventory filter, complementing Reddit's existing safety measures including human moderators and AI-driven moderation tools.

Integral Ad Science (IAS) announced that its Chief Product Officer, Srishti Gupta, has been appointed to IAB Tech Lab's Board of Directors. Gupta, who joined IAS as CPO in September 2024, will contribute to guiding the Tech Lab's five pillars of innovation, including supply chain diligence.

In her role at IAS, Gupta leads the company's product strategy, development, and go-to-market initiatives, managing a global team of product and data science experts. She focuses on developing customer-centric products that leverage IAS's data to maximize advertising performance and effectiveness.

Prior to joining IAS, Gupta served as Chief Product Officer at Rokt and held the position of Director of Ads Measurement at Amazon.

Integral Ad Science (IAS) reported strong financial results for Q4 and full year 2024. Q4 revenue increased 14% to $153.0 million, with net income of $15.3 million (10% margin). Q4 adjusted EBITDA grew 29% to $61.4 million (40% margin).

Key Q4 segment performance:

• Optimization revenue: $70.6M (+11%)
• Measurement revenue: $59.1M (+12%)
• Publisher revenue: $23.4M (+30%)

For full year 2024, total revenue reached $530.1 million (+12%), with net income of $37.8 million ($0.23 per share). The company expanded partnerships with Meta, Reddit, and launched new features including Quality Sync pre-bid integrations. IAS projects 2025 revenue between $588-600 million with adjusted EBITDA of $202-210 million.

Integral Ad Science (IAS) has expanded its Content Block List optimization solution for Facebook and Instagram Feed and Reels with new features and broader global availability. The solution, for which IAS was selected as Meta's development partner in October 2024, now includes nine additional content categories (total 45) and supports six more languages (total 34).

The AI-driven solution helps advertisers automatically avoid placing ads next to unsuitable content, resulting in a 71% reduction in wasted ad spend since its launch. The platform offers social optimization, custom dynamic control, seamless activation, frame-by-frame multimedia analysis, and end-to-end campaign support.

This development follows IAS's previous expansions including Brand Safety and Suitability Measurement for misinformation in April 2024 and the launch of AI-driven Total Media Quality Brand Safety measurement across Meta platforms in February 2024.