Futuri Launches AdMatic™ to Organize and Monetize the World’s Podcasts

Futuri, the company behind podcasting solutions relied on by several of the world’s top audio brands, brings its innovative AI-based solutions to a broader market

Futuri, the leading provider of AI-driven audience engagement and sales intelligence solutions for broadcasters, announced the launch of AdMatic™, a revolutionary system that helps podcast platforms and creators make their content more discoverable and monetizable using advanced metadata sorting and deployment.

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“Two million podcasts all have the same problem: poor metadata sorting that leads to mismatched recommendations for listeners and ineffective advertising for businesses”

AdMatic™ turns podcast content into metadata that helps solve two major challenges in the industry: finding quality podcast content in an increasingly cluttered marketplace, and matching that content with the right programmatic ads to increase efficacy and advertiser ROI on an episode-by-episode basis.

Currently in a Beta phase being tested by several large, publicly traded technology companies, AdMatic™ delivers information on:

  • The ideal ad category for podcast content.
  • The best times to place chapter markers, which allow listeners to navigate longer-form podcast content, as well as the ideal copy for those markers.
  • Ideal keywords for full episodes and chapters, as well as the top organic search results — including images — related to the podcast content.
  • Detection of music in podcasts, including ISRC information, to protect producers from expensive copyright violation fines.
  • Social handles for podcast guests to aid discoverability on social platforms.
  • Information on the ideal places to insert ads without disrupting the flow of content.

“Two million podcasts all have the same problem: poor metadata sorting that leads to mismatched recommendations for listeners and ineffective advertising for businesses,” said Futuri CEO Daniel Anstandig. “AdMatic™ solves this by using Futuri’s AI-driven technology to individually categorize podcast episodes and align with the businesses and products that best match on a case-by-case basis, rather than the hopelessly broad one-size-fits-all approach we currently see in the market.”

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