Direct attribution from Podsights, according to Drengler, means “Now brands can look at our metrics and start saying things like, ‘Hey, 50% of my podcast media budget drove 50% of my sales and oh, by the way, here are the dollars that drove that. So we’re answering that old question, ‘How much, and exactly which part of my budget is driving success?’”
Of course, to place pixels on ads and to ensure that ad-reads are compliant, Podsights needs a stellar STT solution. That’s where Deepgram has been instrumental. Deepgram’s STT has helped Podsights provide brands with better insight and auditing capability on ad-reads. In the text-based ad world, tracking impressions is easy. Speech is much more complex. By working With Deepgram’s STT, Podsights is able to provide transparent impression reporting in real-time, and track campaigns across multiple providers on one centralized dashboard, and perform automated air checks. Also, when your ads are speech-only, you have to know who said what and when. With the help of Deepgram’s rapidly evolving diarization, Podsights can attribute words to each speaker in a recording, so that brands can tell who is reading their ad. Naturally, Deepgram STT outputs include time-stamps and confidences for a fine-grained analysis. Podsights has leveraged a host of cutting-edge technologies in order to track exactly how an ad campaign is pacing and the number of households it is reaching.
Drengler notes, “With Deepgram’s accurate and fast speech-to-text solution, we’re the Google Analytics of podcasts.”