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IAS LAUNCHES FIRST-TO-MARKET PARTNERSHIP WITH LYFT MEDIA TO PROVIDE AI-DRIVEN THIRD-PARTY MEASUREMENT FOR ADVERTISERS

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Integral Ad Science (IAS) has announced a groundbreaking partnership with Lyft Media as their first media quality measurement partner. The collaboration enables advertisers to validate their Lyft Media ad investments using IAS's Viewability, Invalid Traffic (IVT), and Brand Safety Measurement tools. IAS will provide comprehensive reporting through its Signal platform, offering transparency and trusted third-party measurement for Lyft's Mobile In-App Video and Poster Ads. The partnership ensures advertisers can verify their content reaches real users in brand-safe environments. Lyft Media, which launched in-app ads in August 2023, leverages first-party data to target audiences based on trip intent and connects ad exposures to outcomes like store visits and in-app purchases.
Integral Ad Science (IAS) ha annunciato una partnership innovativa con Lyft Media, diventando il loro primo partner per la misurazione della qualit脿 dei media. La collaborazione permette agli inserzionisti di verificare gli investimenti pubblicitari su Lyft Media utilizzando gli strumenti di IAS per la Viewability, il Traffico Non Valido (IVT) e la Misurazione della Sicurezza del Marchio. IAS fornir脿 report dettagliati tramite la piattaforma Signal, garantendo trasparenza e una misurazione affidabile di terze parti per gli annunci video in-app e poster di Lyft. La partnership assicura che gli inserzionisti possano confermare che i loro contenuti raggiungono utenti reali in ambienti sicuri per il brand. Lyft Media, che ha lanciato gli annunci in-app nell'agosto 2023, utilizza dati di prima parte per indirizzare il pubblico in base all'intento del viaggio e collega l'esposizione agli annunci a risultati come visite nei negozi e acquisti in-app.
Integral Ad Science (IAS) ha anunciado una asociaci贸n innovadora con Lyft Media como su primer socio para la medici贸n de la calidad de los medios. Esta colaboraci贸n permite a los anunciantes validar sus inversiones publicitarias en Lyft Media utilizando las herramientas de IAS para Visibilidad, Tr谩fico Inv谩lido (IVT) y Medici贸n de Seguridad de Marca. IAS proporcionar谩 informes completos a trav茅s de su plataforma Signal, ofreciendo transparencia y una medici贸n confiable de terceros para los anuncios de video en la aplicaci贸n y p贸sters de Lyft. La asociaci贸n garantiza que los anunciantes puedan verificar que su contenido llega a usuarios reales en entornos seguros para la marca. Lyft Media, que lanz贸 anuncios dentro de la aplicaci贸n en agosto de 2023, aprovecha datos propios para dirigir audiencias seg煤n la intenci贸n del viaje y conecta la exposici贸n a los anuncios con resultados como visitas a tiendas y compras dentro de la aplicaci贸n.
Integral Ad Science(IAS)電� Lyft Media鞕 順侅嫚鞝侅澑 韺岉姼雱堨嫮鞚� 氚滍憸頃橂┌, Lyft Media鞚� 觳� 氩堨Ц 氙鸽敂鞏� 頀堨 旄§爼 韺岉姼雱堦皜 霅橃棃鞀惦媹雼�. 鞚措矆 順戨牓鞚� 韱淀暣 甏戧碃欤茧姅 IAS鞚� 鞁滌箔 臧電レ劚(Viewability), 攵鞝� 韸鸽灅頂�(IVT), 敫岆灉霌� 鞎堨爠靹� 旄§爼 霃勱惮毳� 靷毄頃橃棳 Lyft Media 甏戧碃 韴瀽毳� 瓴歃濏暊 靾� 鞛堨姷雼堧嫟. IAS電� Signal 頂岆灚韽检潉 韱淀暣 膦呿暕鞝侅澑 氤搓碃靹滊ゼ 鞝滉车頃橂┌, Lyft鞚� 氇皵鞚� 鞚胳暠 牍勲敂鞓� 氚� 韽姢韯� 甏戧碃鞐� 雽頃� 韴獏頃橁碃 鞁犽頃� 靾� 鞛堧姅 鞝�3鞛� 旄§爼鞚� 鞝滉车頃╇媹雼�. 鞚� 韺岉姼雱堨嫮鞚 甏戧碃欤缄皜 鞁れ牅 靷毄鞛愳棎瓴� 敫岆灉霌� 鞎堨爠頃� 頇橁步鞐愳劀 旖橅厫旄犼皜 霃勲嫭頃橂姅歆 頇曥澑頃� 靾� 鞛堧弰搿� 頃╇媹雼�. 2023雲� 8鞗� 鞚胳暠 甏戧碃毳� 鞁滌瀾頃� Lyft Media電� 1彀� 雿办澊韯半ゼ 頇滌毄頃� 鞐枆 鞚橂弰鞐� 霐半ジ 韮瓴燀寘鞚� 靾橅枆頃橂┌, 甏戧碃 雲胳稖瓿� 毵れ灔 氚╇, 鞚胳暠 甑Г 臧欖潃 瓴瓣臣毳� 鞐瓣舶頃╇媹雼�.
Integral Ad Science (IAS) a annonc茅 un partenariat r茅volutionnaire avec Lyft Media, devenant leur premier partenaire de mesure de la qualit茅 des m茅dias. Cette collaboration permet aux annonceurs de valider leurs investissements publicitaires sur Lyft Media en utilisant les outils d'IAS pour la visibilit茅, le trafic invalide (IVT) et la mesure de la s茅curit茅 de la marque. IAS fournira des rapports complets via sa plateforme Signal, offrant transparence et mesure tierce de confiance pour les vid茅os in-app et les affiches publicitaires de Lyft. Ce partenariat garantit que les annonceurs peuvent v茅rifier que leur contenu atteint de vrais utilisateurs dans des environnements s没rs pour la marque. Lyft Media, qui a lanc茅 les publicit茅s in-app en ao没t 2023, utilise des donn茅es propri茅taires pour cibler les audiences selon l'intention de d茅placement et relie les expositions publicitaires 脿 des r茅sultats tels que les visites en magasin et les achats in-app.
Integral Ad Science (IAS) hat eine bahnbrechende Partnerschaft mit Lyft Media bekannt gegeben und ist deren erster Partner f眉r die Messung der Medienqualit盲t. Die Zusammenarbeit erm枚glicht es Werbetreibenden, ihre Investitionen in Lyft Media-Anzeigen mithilfe von IAS-Tools zur Sichtbarkeit, ung眉ltigem Traffic (IVT) und Markensicherheitsmessung zu validieren. IAS wird umfassende Berichte 眉ber seine Signal-Plattform bereitstellen und somit Transparenz sowie vertrauensw眉rdige Drittanbieter-Messungen f眉r Lyfts Mobile In-App-Video- und Posterwerbung bieten. Die Partnerschaft stellt sicher, dass Werbetreibende 眉berpr眉fen k枚nnen, ob ihre Inhalte echte Nutzer in markensicheren Umgebungen erreichen. Lyft Media, das im August 2023 In-App-Werbung gestartet hat, nutzt First-Party-Daten, um Zielgruppen basierend auf Reiseabsichten anzusprechen und verbindet Anzeigenexpositionen mit Ergebnissen wie Ladenbesuchen und In-App-K盲ufen.
Positive
  • First-to-market partnership positions IAS as the exclusive media quality measurement partner for Lyft Media
  • Partnership expands IAS's market reach into the growing rideshare advertising sector
  • Integration with Lyft's first-party data enables better ad targeting and measurement capabilities
  • Service provides comprehensive reporting through IAS Signal platform for enhanced transparency
Negative
  • None.

Insights

IAS's exclusive partnership with Lyft Media expands its measurement footprint in the growing transportation media space, strengthening competitive positioning.

This first-to-market partnership between IAS and Lyft Media represents a strategic expansion of IAS's measurement capabilities into the rapidly evolving transportation advertising sector. As the exclusive media quality measurement partner for Lyft Media, IAS gains privileged access to Lyft's growing advertising ecosystem launched in August 2023.

The partnership offers three key measurement services: Viewability (confirming ads are actually seen), Invalid Traffic detection (ensuring real humans see ads), and Brand Safety Measurement (verifying appropriate content adjacency). These capabilities directly address advertiser concerns about transparency and effectiveness in emerging ad platforms.

For IAS, this partnership creates a competitive advantage in the measurement space by establishing early positioning in transportation-based advertising - a sector with significant growth potential as ride-sharing companies increasingly monetize their captive audiences. Lyft Media's ability to connect ad exposures to real-world outcomes like store visits offers particularly valuable first-party data that IAS can now help advertisers validate.

The integration with IAS Signal (their unified reporting platform) also strengthens IAS's ecosystem lock-in, creating additional value for advertisers already using their platform across other channels. This partnership reinforces IAS's strategy of expanding measurement capabilities across diverse digital advertising environments, particularly those with unique first-party data assets.

Partnership delivers trusted, third-party Viewability, Invalid Traffic and Brand Safety Measurement for Lyft Media's In-App Inventory

NEW YORK, June 11, 2025 /PRNewswire/ -- Integral Ad Science (Nasdaq: IAS), a leading global media measurement and optimization platform, today announced a first-to-market partnership with Lyft (Nasdaq: LYFT) enabling advertisers to validate the quality of their Lyft Media buys with IAS's Viewability, Invalid Traffic (IVT) and Brand Safety Measurement, available now. As the first media quality measurement partner for Lyft Media, IAS is trusted to ride along every impression. IAS sits at the intersection of AI, media, and marketing and was chosen by Lyft Media for its ability to see every ad interaction and the surrounding context for customers.

Lyft Media is designed to engage users throughout their transportation journeys with highly targeted ad solutions. With IAS's Media Quality measurement, advertisers can verify that their media buys reach real users in brand-safe environments across an addressable market of trips. Lyft Media advertisers connect ad exposures during the use of the company's services to outcomes like store visits and in-app purchases, and Lyft In-App ads help advertisers drive impactful campaigns by leveraging unique insights into rider transportation preferences.

"We are delighted to partner with Lyft as their first media quality measurement platform, providing advertisers with greater transparency into their media buys through trusted and transparent metrics," said Lisa Utzschneider, CEO of Integral Ad Science. "Lyft Media continues to enhance its ad platform, and IAS's meaningful insights on media quality will enable advertisers to protect their brand and improve return on ad spend."

IAS's Viewability, IVT and Brand Safety Measurement for Lyft Media provides advertisers with:

  • Greater Transparency: Advertisers can validate their content adjacency with trusted third-party analysis, and validate that they are engaging with real users and maximizing campaign spend.
  • Comprehensive Reporting: Advertisers can leverage IAS Signal, IAS's unified reporting platform, for industry leading Viewability and IVT insights that enable advertisers to stay informed and take action.
  • Trusted Third-Party Measurement: IAS supports measurement across Lyft Media's Mobile In-App Video and Poster Ads enabling advertisers to validate the quality of their media buys by ensuring their ads are seen by real viewers in a fraud-free environment.

Lyft In-App ads launched in August 2023 enabling advertisers to pinpoint audiences and harness trip intent with deep first-party data to create impactful campaigns from awareness to purchase. IAS's Viewability, IVT and Brand Safety measurement is available now for English language mobile in-app ads.

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 .

About Lyft Media
Brands and agencies can partner with Lyft across a broad range of digital and out-of-home advertising solutions including in-app ads and on-street bikeshare stations. Lyft Media's digital offerings are available in the app nationally and include formats such as video and poster units, complemented by robust first and third-party targeting and measurement capabilities.

CONTACT: [email protected]

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SOURCE Integral Ad Science, Inc.

FAQ

What services will IAS provide to Lyft Media through this partnership?

IAS will provide Viewability, Invalid Traffic (IVT) and Brand Safety Measurement services for Lyft Media's mobile in-app video and poster ads, enabling advertisers to validate their media buys.

When did Lyft launch its in-app advertising platform?

Lyft launched its in-app advertising platform in August 2023.

How does Lyft Media's advertising platform track campaign effectiveness?

Lyft Media connects ad exposures to outcomes like store visits and in-app purchases, using first-party data to track user transportation preferences and behaviors.

What types of ads does IAS measure on Lyft's platform?

IAS measures English language mobile in-app ads, including Mobile In-App Video and Poster Ads on Lyft's platform.

How will advertisers access IAS measurement data for Lyft Media campaigns?

Advertisers can access measurement data through IAS Signal, IAS's unified reporting platform, which provides insights on Viewability and Invalid Traffic.
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