Case Study: Podsights achieves pinpoint podcast ad attribution and scalable compliance with Deepgram

Podsights partners with Deepgram to pinpoint podcast advertising attribution

Podsights is an advertising attribution platform that ties podcast listens to on-site activity using pixel-based attribution, but it struggled to scale compliance and in-podcast ad tracking across millions of episodes and mixed ad types (dynamically inserted and embedded reads). To address the need for accurate, scalable verification of ad-reads and automated auditing, Podsights partnered with Deepgram and adopted Deepgram’s tailored speech-to-text (STT) solution.

Deepgram’s fast, accurate STT—with diarization, timestamps and confidence scores—lets Podsights automatically locate and verify ad reads (including embedded ones), perform real-time impression reporting, and centralize campaign tracking. The result is dramatically reduced time from episode release to attribution tracking, improved trust between publishers and advertisers, growth in customer lifetime value, and clear, measurable attribution metrics (for example, brands can see exactly which portion of podcast budget drove sales), all enabled by Deepgram.

Podsights

Matthew Drengler

Director of Partnerships