IAS Announces AI-Driven Brand Safety and Suitability Solutions for Podcast Advertising on Spotify Audience Network
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 (IAS) ha collaborato con Spotify per lanciare funzionalità di Brand Safety e Adattabilità basate sull'intelligenza artificiale per la pubblicità nei podcast sulla Spotify Audience Network negli Stati Uniti. La soluzione garantisce un'accuratezza a livello di singolo episodio grazie a una tecnologia AI in grado di classificare contenuti audio in oltre 90 lingue. Le caratteristiche principali includono targeting personalizzato per la sicurezza del brand, classificazione pre-bid e reportistica a livello di campagna.
La partnership arriva in un momento in cui i ricavi pubblicitari dei podcast negli USA sono previsti superare i 3 miliardi di dollari entro il 2027. La soluzione consente agli inserzionisti di impostare preferenze di tolleranza al rischio, assicurando che gli annunci vengano mostrati accanto a contenuti in linea con i valori del brand. La tecnologia di IAS combina segnali speech-to-text per la classificazione dei contenuti, offrendo agli inserzionisti maggiore controllo e trasparenza nella pubblicità sui podcast.
Integral Ad Science (IAS) se ha asociado con Spotify para lanzar funciones de Seguridad y Adecuación de Marca impulsadas por IA para la publicidad en podcasts en la Spotify Audience Network en EE. UU. La solución ofrece precisión a nivel de episodio de podcast mediante tecnología de IA que puede clasificar contenido de audio en más de 90 idiomas. Las características clave incluyen segmentación personalizada para la seguridad de la marca, clasificación previa a la oferta y reportes a nivel de campaña.
La asociación llega en un momento en que se proyecta que los ingresos por publicidad en podcasts en EE. UU. superen los 3 mil millones de dólares para 2027. La solución permite a los anunciantes establecer preferencias de tolerancia al riesgo, asegurando que los anuncios aparezcan junto a contenido alineado con los valores de la marca. La tecnología de IAS combina señales de voz a texto para la clasificación del contenido, ofreciendo a los anunciantes mayor control y transparencia en la publicidad en podcasts.
Integral Ad Science(IAS)는 Spotify와 협력하여 미국 Spotify Audience Network에서 팟캐스트 광고를 위한 AI 기반 브랜드 안전 및 적합성 기능을 출시했습니다. 이 솔루션은 90개 이상의 언어로 오디오 콘텐츠를 분류할 수 있는 AI 기술을 통해 팟캐스트 에피소드 수준의 정확성을 제공합니다. 주요 기능으로는 맞춤형 브랜드 안전 타겟팅, 사전 입찰 분류, 캠페인 수준 보고서가 포함됩니다.
이 파트너십은 미국 팟캐스트 광고 수익이 2027년까지 30억 달러를 초과할 것으로 예상되는 시점에 이루어졌습니다. 이 솔루션은 광고주가 위험 허용 범위를 설정할 수 있게 하여 브랜드 가치에 부합하는 콘텐츠 옆에 광고가 게재되도록 보장합니다. IAS의 기술은 음성-텍스트 신호를 결합하여 콘텐츠를 분류하며, 광고주에게 팟캐스트 광고에서 더 큰 제어력과 투명성을 제공합니다.
Integral Ad Science (IAS) s'est associé à Spotify pour lancer des fonctionnalités de sécurité et d'adéquation de marque pilotées par l'IA pour la publicité dans les podcasts sur le Spotify Audience Network aux États-Unis. La solution offre une précision au niveau des épisodes de podcast grâce à une technologie IA capable de classifier le contenu audio en plus de 90 langues. Les principales fonctionnalités incluent un ciblage personnalisé pour la sécurité de la marque, une classification avant enchère et des rapports au niveau de la campagne.
Ce partenariat intervient alors que les revenus publicitaires des podcasts aux États-Unis devraient dépasser 3 milliards de dollars d'ici 2027. La solution permet aux annonceurs de définir leurs préférences de tolérance au risque, garantissant que les annonces apparaissent aux côtés de contenus alignés avec les valeurs de la marque. La technologie d'IAS combine des signaux de reconnaissance vocale pour la classification du contenu, offrant aux annonceurs un meilleur contrôle et une plus grande transparence dans la publicité podcast.
Integral Ad Science (IAS) hat sich mit Spotify zusammengetan, um KI-gesteuerte Funktionen für Markensicherheit und Eignung bei Podcast-Werbung im Spotify Audience Network in den USA einzuführen. Die Lösung bietet Podcast-Episoden-genaue Präzision durch KI-Technologie, die Audioinhalte in über 90 Sprachen klassifizieren kann. Zu den Hauptmerkmalen gehören maßgeschneiderte Markensicherheits-Targeting, Pre-Bid-Klassifizierung und Kampagnen-Level-Berichterstattung.
Die Partnerschaft kommt zu einer Zeit, in der die Werbeeinnahmen von Podcasts in den USA voraussichtlich bis 2027 über 3 Milliarden US-Dollar steigen werden. Die Lösung ermöglicht es Werbetreibenden, Risikotoleranzen festzulegen, um sicherzustellen, dass Anzeigen neben Inhalten erscheinen, die mit den Markenwerten übereinstimmen. Die Technologie von IAS kombiniert Sprach-zu-Text-Signale zur Inhaltsklassifikation und bietet Werbetreibenden mehr Kontrolle und Transparenz bei der Podcast-Werbung.
- Partnership addresses growing podcast advertising market projected to reach $3B+ by 2027
- AI-driven technology enables content classification in 90+ languages
- Provides advertisers with episode-level accuracy and control over brand safety
- Expands IAS's product suite with new revenue opportunities
- None.
Insights
IAS's podcast brand safety solution with Spotify addresses a critical market gap, potentially accelerating advertiser adoption in the rapidly growing audio space.
This partnership represents strategic positioning by IAS in the podcast advertising ecosystem—a segment projected to reach
The technical achievement here shouldn't be understated. Audio content moderation presents unique challenges compared to text or image verification due to conversational nuance and contextual variability. IAS's AI-driven approach combining speech-to-text analysis across 90+ languages with episode-level classification brings podcast advertising closer to the verification standards available in more mature digital channels.
Four key elements make this development significant:
- Episode-level granularity: Provides precision previously unavailable in podcast targeting
- Pre-bid classification: Enables proactive rather than reactive brand safety measures
- Customizable risk tolerance: The four-tier system accommodates varying brand sensitivity levels
- Cross-platform functionality: Works across all apps where Spotify Audience Network podcasts are played, not just within Spotify
This solution directly addresses why some brands have limited podcast investment despite growing audiences. By bringing standardized verification metrics to audio—similar to what exists for display and video—IAS is helping remove a significant barrier to broader advertiser adoption while extending their verification capabilities across another major media channel.
Partnership Brings Enhanced Targeting And Measurement for Spotify Advertising
"This partnership between IAS and Spotify represents a pivotal step forward in providing podcast advertisers with the control and confidence that their messages will resonate with intended audiences," said Lisa Utzschneider, CEO of IAS. "Brands connect with consumers across diverse formats, and IAS is committed to driving omnichannel media quality. IAS's industry-first solution with Spotify demonstrates our dedication to ensuring advertisers can safeguard and scale their brands across all media."
Powered by best-in-class AI-driven technology, IAS classifies each podcast episode for actionable brand safety and suitability control at scale. These solutions arrive at a time when
As part of this launch, new features and functionalities will be available for advertisers across the Spotify Audience Network, including:
- Podcast Episode Level Accuracy: IAS's AI-driven Multimedia Technology combines speech-to-text signals to classify audio content in 90+ languages at scale in the
U.S. , and provides classification at the podcast episode level for brand safety measurement. - Tailored Brand Safety and Suitability Targeting: Advertisers can set their preferred risk tolerance within the Spotify Audience Network, ensuring their ads appear alongside content that aligns with their brand values, as scored by IAS.
- Pre-Bid Classification: IAS validates dynamically inserted podcast ad placements with daily, campaign-level reporting to ensure impressions appear next to brand suitable podcast content. Classification happens pre-bid and is aligned to industry standard categories with four custom Spotify Brand Suitability Targeting tiers tailored to advertisers' unique risk tolerance.
- Expansive Reach: Advertising inventory runs across any and all podcast apps where consumers play a Spotify Audience Network enabled-podcast. Measurement and Targeting run on Podcasts only—the Spotify Audience Network is
100% only podcast inventory.
"Our goal is to raise the bar on digital audio brand safety, and by partnering with IAS, we've established a much requested brand safety solution for podcasts," said Chloe Wix, Global Head of Product and Commercial Growth at Spotify. "Together, we'll ensure that we can deliver increased transparency and greater control for advertisers to connect with fans in our trusted environment."
This partnership expands IAS's innovative product suite, which also includes granular Viewability and Invalid Traffic reporting, available for video and display inventory, across in-app desktop and mobile devices. Currently available for the
About Integral Ad Science
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. IAS's software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
About Spotify
Since its launch in 2008, Spotify has revolutionized music listening. Our move into podcasting brought innovation and a new generation of listeners to the medium. In 2022, we took the next leap, entering the fast-growing audiobook market—continuing to shape the future of audio.
Today, more listeners than ever can discover, manage and enjoy over 100 million tracks, 7 million podcast titles, and 350,000 audiobooks a la carte on Spotify. We are the world's most popular audio streaming subscription service with more than 678 million users, including 268 million subscribers in more than 180 markets
Contact: press@integralads.com
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SOURCE Integral Ad Science, Inc.
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