I fondly remember the golden era of social insights when someone would present the wordcloud in a meeting and we’d nod like ‘pizza’ in 72 font was a profound human truth. It’s funny looking back, but it also says something about the long-standing challenge with building audience understanding out of tiny fragments. Short posts. Fleeting thoughts. One-word replies. Sarcasm. Emojis. Viral randomness. Swirls of shallow signals.
It’s like we’re building personas from the bumper sticker, but our understanding would be so much more valuable if we could listen to the conversation in the car.
That’s why we’ve built the foundation of our new Gutsy AI audience trend signalling on data from Podscan, the world’s most complete source for podcast transcripts, analysis, and insights. Long-form conversations give the Gutsy AI context we simply can’t get from anywhere else. People explain themselves. They tell stories. They reveal motivations, values and interests in ways we don’t get from an Instagram influencer.
When we analyze at that depth, at scale, we see meaningful audience trend signals. And with that foundation, adding a layer of social insights will now make so much more sense.
I’m very lucky to count Arvid Kahl as a friend, family-member and Gutsy AI partner/advisor, and the AI technology he’s built at Podscan is incredible. Every podcast episode on earth transcribed and analyzed within minutes of release, not to mention a back catalog of transcripts and analysis of every episode in history. Yes, that’s a heck of a lot of rich audience and trend data that Podscan now pumps into Gutsy AI. And yes, if you’re in PR or Comms and do any kind of brand and reputation monitoring, or have your own need for any kind of podcast data, then you probably need a Podscan subscription too.