Home » Technology » Integral Ad Science: AI-Powered Brand Safety for Spotify Podcasts

Integral Ad Science: AI-Powered Brand Safety for Spotify Podcasts

city — October 26, 2023 —

Integral Ad Science (IAS) has launched new brand safety and suitability features for advertisers on Spotify’s Podcast Network. The features, powered by AI, aim to classify podcast episodes at scale, ensuring a safer advertising surroundings. This move addresses the growing need for brand protection as podcast advertising continues to expand it’s reach. For more information, consult the original article.

video-container">

Integral Ad Science Enhances Brand Safety on SpotifyS Podcast Network

Integral Ad Science (IAS) is rolling out new brand security and suitability features for podcast advertisers within teh Spotify Audience Network in the U.S.,leveraging AI to classify podcast episodes at scale.

The Growing Importance of Brand Safety in Podcast Advertising

The podcast advertising landscape is rapidly maturing, with U.S. revenue projected to surpass $3 billion. As investment grows, ensuring brand safety and suitability becomes paramount. IAS is addressing this need with its latest offering for the Spotify Audience Network.

According to IAS, solutions for the safety and suitability of audio brands are essential in order to optimize expenses, increase the ROI and protect the brand’s reputation.

Key features of the IAS Solution

  • Episode-Level Accuracy: IAS’s AI-powered multimedia technology combines speech-to-text signals to classify audio content in over 90 languages in the U.S.
  • Customized Brand Safety Targeting: Advertisers can define their preferred risk tolerance within the Spotify Audience Network.
  • Pre-bid Classification: IAS validates dynamically inserted podcast ad placements with daily campaign-level reports.
  • Complete Reach: The advertising event is switched in all podcast apps in wich consumers play a podcast with Spotify Audience Network.
  • 100% Podcast Inventory: Measurement and targeting only for podcasts-the Spotify Audience Network consists of 100 % podcast inventory.

How It works: A Deeper Dive

The IAS system classifies podcast episodes before bidding occurs, using standard categories and four custom stages for brand suitability tailored to individual advertiser risk tolerance. This pre-bid classification ensures that ads appear alongside brand-kind content.

IAS’s AI-based multimedia technology combines Speech-to-Text-Signals in order to classify audio content in over 90 languages ​​in the USA, and offers a classification on a large scale Podcast episode level for measuring brand security. Tailor-made branded security and aptitude targeting: Advertisers can define their preferred risk tolerance within the Spotify Audience Network and ensure that their ads appear next to content that corresponds to the brand values ​​rated by IAS.

IAS’s Commitment to Digital Advertising Standards

This partnership expands IAS’s product range, which includes detailed reports on visibility and invalid traffic for video and display inventory on desktop and mobile devices. the company emphasizes its commitment to compliance with strict standards in measuring digital advertising across all media.

By enables advertisers to align and measure brand suitability, the company confirms its commitment to compliance with strict standards when measuring digital advertising in all media.

FAQ: Brand safety on Spotify’s Podcast Network

What is the Spotify Audience network?
The Spotify Audience Network is a collection of podcast apps where consumers can listen to podcasts.
What does IAS classify?
IAS classifies each podcast episode for implementable control of brand security and suitability at a large scale.
How does IAS classify content?
IAS validates dynamically inserted podcast ads placements with daily reports at the campaign level to ensure that impressions appear alongside brand-friendly podcast content.
What languages does IAS support?
The currently available solutions of IAS for brand security and suitability support over 90 languages.

You may also like

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.