Magellan AI and iHeart Expand to Broadcast Radio Attribution

Why It Matters

By bringing broadcast radio into a unified attribution model, brands gain a clearer ROI picture for a traditionally opaque channel, sharpening media‑mix decisions and budget allocation.

Key Takeaways

• Magellan AI adds broadcast radio attribution to its measurement suite.
• iHeart's simulcast data links radio exposure to web visits and sales.
• Advertisers can view audio and digital performance in one dashboard.
• Reporting is exclusive to brands buying ad inventory on iHeart platforms.
• Partnership extends previous work on podcasts, streaming, and connected TV.

Pulse Analysis

Radio has long been the missing piece in cross‑media analytics, with most advertisers relying on lift studies or proxy metrics to gauge impact. Magellan AI’s original Broadcast Radio Attribution product aimed to fill that gap, but its effectiveness was limited without granular exposure data. iHeartMedia’s extensive simulcast database now supplies the missing listener‑level signals, enabling a direct correlation between a radio spot and downstream actions such as site visits or purchases. This integration marks a significant step toward true multi‑touch attribution, where every media touchpoint can be quantified.

The technical marriage of Magellan’s attribution engine with iHeart’s in‑market simulcast data creates a unified reporting layer that blends traditional broadcast with digital audio, podcasts, and connected TV. Advertisers receive a consolidated dashboard that surfaces key performance indicators—web traffic, lead generation, and sales—attributed to specific radio airings. Because the reporting is limited to brands that buy directly through iHeart, the data remains proprietary, offering a competitive edge to those willing to invest in the platform. This exclusivity also encourages deeper partnerships, as agencies can leverage the insights to optimize spend across iHeart’s expansive audio portfolio.

Industry analysts view this development as a catalyst for broader adoption of audio measurement standards. As brands increasingly allocate budgets to streaming and podcasting, having a comparable metric for terrestrial radio ensures a level playing field and more accurate media‑mix modeling. The collaboration also signals that other broadcasters may follow suit, providing their own first‑party data to measurement firms. In the long run, such data‑driven transparency could reshape ad buying, driving higher efficiency and better ROI across the entire audio ecosystem.