Using machine learning algorithms, Airchecks deliver powerful insights for podcast planning and campaign measurement

Podchaser, the podcast industry’s intelligence engine, today announced Airchecks to provide advertisers with a deeper understanding of podcast ad campaigns. More specifically, Airchecks leverages a sophisticated machine learning algorithm to identify keywords and patterns in the audio waveform. These transcriptions and insights are then made available to media buyers and planners to not only confirm that their ad ran across the intended podcast, but also to quickly understand the brand positioning and representation within the ad by the podcaster to help inform current and future campaigns.

For advertisers, airchecks have long been a staple of radio campaigns and have become a relied upon source for measurement as well as planning. As the podcast landscape continues to mature from increased investments, advertisers are still lacking scalable and standardized measurement to inform their continued spend. In fact, according to Nielsen, nearly half (49%) of global marketers plan to increase their spending on podcasts over the next year, but only 44% are extremely or very confident in being able to measure return on their investments. Now, with Airchecks, advertisers using Podchaser Pro have access to even more insights that enable them to forge connections with these tuned-in audiences.

“Podcast advertising is reaching such scale that many brands are now buying across hundreds or even thousands of podcasts at a time. The industry has been calling out for a scalable way to discover and track these. With Airchecks, our Podchaser Pro users are able to quickly discover, listen to, and learn from podcasts ads through voice transcription technology,” said Bradley Davis, CEO of Podchaser. “Having access to this data is not only a powerful validation tool for in-progress campaigns, but also yields crucial insights for planning future campaigns.”

Airchecks is currently in beta across the top 5,000 podcasts and is the latest feature to be added to the Podchaser Pro suite of podcast data, insights, and planning tools for advertisers and media planners. Podchaser Pro also includes powerful insights on audience reach, listener demographics, brand safety, and much more.

This news comes on the heels of Podchaser’s recent Predictive Demographics launch, which is an industry-first predictive language modeling capability that uses AI to analyze the language spoken within a podcast to predict the age and gender of its likely audience.

To learn more about Airchecks and Podchaser Pro, please visit https://features.podchaser.com/pro/ or email Cole Raven at cole@podchaser.com.