IAS Launches Episode-Level Pre-Bid Optimization for Podcast Ads on and off Spotify via The Trade Desk

June 17, 2026 — Integral Ad Science (IAS), a global leading platform that delivers real business outcomes through AI-driven media quality (Headquarters: New York, USA; Japan Office: Chiyoda City, Tokyo; Country Manager: Nobuhito Takei, hereinafter "IAS"), today announced a new "episode-level pre-bid optimization solution" for programmatic audio and video podcast advertising as part of its strategic partnership with Spotify. Starting this month, advertisers can seamlessly apply episode-level "Context Control" before bidding directly within The Trade Desk. This enhances brand suitability, protects brand value, and strengthens media quality performance across podcast ad impressions.

IAS provides AI-driven media quality measurement and optimization across every channel advertisers invest in, delivering the transparency and control needed to improve business outcomes across social, CTV, audio, and the open web. With this new solution, marketers can now purchase podcast ads at scale through Spotify Ad Exchange with the same confidence and precision they have with display and video advertising. Podcast advertising continues to gain strong momentum—according to IAB data, U.S. podcast advertising revenue reached a record $2.9 billion in 2025, a 17.6% year-over-year increase.

Lisa Gevelber, CEO of IAS, stated:

"Programmatic audio advertising has long enabled brands to reach large and growing audiences. With this new solution, we're adding a new level of advanced control. By introducing episode-level pre-bid optimization for Spotify's programmatic audio ads through The Trade Desk, we empower advertisers to confidently scale their podcast ad investments in alignment with their brand suitability standards."

The value of Spotify's podcast "Context Control" pre-bid optimization solution includes:

- Confidence at scale: Advertisers can apply the same brand suitability standards used across their digital ad campaigns to Spotify's podcast ad inventory before bidding. - Episode-level precision: Contextual classification occurs at the individual episode level—not just at the show or app level—increasing accuracy and enabling advertisers to identify more relevant ad opportunities. - Industry-standard compliance: Advertisers can select from 33 context avoidance segments across 11 categories aligned with industry standards, categorized into three risk levels (high, medium, low). - Seamless activation: IAS's pre-bid "Context Control" segments can be directly applied to Spotify Ad Exchange PMP campaigns within The Trade Desk.

This partnership expands the collaboration between IAS and Spotify, following the May 2025 launch of an AI-driven brand safety and suitability solution for the Spotify Audience Network.

IAS's podcast "Context Control" segments for Spotify are available today via The Trade Desk. Rollout to other major DSP platforms is planned over the coming months.

About Integral Ad Science (IAS) Integral Ad Science (IAS) is a global platform that turns AI-driven media quality into tangible business outcomes—from brand awareness to revenue growth. We empower advertisers, agencies, and publishers to increase transparency, reduce waste, and drive growth across the open web, social, CTV, and audio. By transforming vast data into actionable intelligence, IAS enables marketers to optimize global campaigns in real time and maximize ROI on every advertising dollar. For more information, visit integralads.com/jp/.