In this episode, Ari Paparo interviews Eric Tilbury, Head of Operations at Inuvo, to explore how their platform moves beyond traditional keyword targeting using a proprietary “concept graph.” Tilbury explains how Inouvo identifies the underlying meaning and sentiment of content at the sentence level, enabling more precise ad targeting—even without user identifiers. He shares the company’s origins from a UCLA machine learning lab, their dual business model spanning ad tech and publishing, and the ongoing challenge of attribution in a post-ID world. The conversation also touches on how Inouvo integrates with Microsoft’s SSP and why building trust around alternative measurement remains a key hurdle.
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