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Acast says its new Conversational Targeting for advertisers allows brands to target podcast conversations at the individual episode level, across every listening app on the market.
Using advanced speech-to-text transcription technology combined with artificial intelligence and natural language processing, Acast is continually transcribing and analyzing hundreds of thousands of individual podcast episodes across its network of shows. Each episode is then categorized according to the industry-standard IAB content categorization taxonomy (v2), ensuring ad campaigns are automatically served against episodes of the highest relevance for their brand message.
For example, a food delivery service can target individual episodes of a podcast where the hosts discuss what they’re having for dinner, or their love of cooking — even if that happens to be a podcast from a quite different genre. Where previously a podcast and its ad inventory was tagged only in relation to its genre, knowing the episode-level context of the conversation actually happening — and that this one covers categories like “food” and “cooking” — highlights new, untapped opportunities for relevant brands.
Conversational Targeting offers advertisers greater relevance without targeting individual listeners, or using user-based IDs or personal information — maintaining privacy and protecting the listener experience. Furthermore, for podcasters, these new capabilities open up more of their catalog for potential advertising and associated revenue.
Chris Wistow, Acast’s VP of Advertising Product said, “We’ve always been proud of Acast’s hard work to innovate the advertising experience, while crucially protecting the valuable listening experience. We have a responsibility — to both our podcasters and their fans — to help the brands we work with find the best, most relevant conversations to be part of, and Conversational Targeting allows us to do exactly that.
“We’re also conscious of the acceleration towards greater user privacy — the need to move beyond individual user-level targeting, and for digital advertising solutions to evolve and innovate for intelligent, privacy-safe, contextual targeting. Conversational Targeting helps us and our advertiser partners to get ahead of the game, and to continue to lead the way in podcast advertising globally. And, in turn, that will allow us to spread even more advertising dollars to even more podcasters.”