Podcorn is a marketplace matching podcasters and advertisers, using machine learning to match podcasters with the most relevant brands. Its algorithms analyze brands’ campaign data, such as budget, types of ad creatives, and the kinds of podcasters they want to work with. Podcorn analyzes the RSS feed metadata for each podcast, including the show description notes, titles, niche, past guests, and so on, and it then deploys a weighting system to match each podcast with the most suitable brand. Podcorn learns from subsequent interactions on its platform, such as how podcasters are pricing themselves, what kinds of native ad formats work best (e.g. interviews, prerolls, etc.), and specific feedback from the advertiser.