Press Release · via Podscribe · March 5 2026 Podscribe, the leading attribution and analytics platform for podcast and streaming media advertising, today announced two major product innovations: a new AI-powered chatbot designed to turn podcast data into actionable insights, and YouTube SmartModeling, an advanced attribution approach that improves how conversions from YouTube simulcast ads are measured. Both features were first previewed earlier this week during Q1 2026 Podscribe Performance Benchmark (PPB) Webinar, and represent the company’s continued investment in improving transparency, efficiency, and measurement accuracy across podcast and video advertising. Introducing YouTube SmartModeling As podcast creators increasingly distribute their content across both audio platforms and YouTube, advertisers have relied on modeling to estimate conversions generated from YouTube views. Historically, the industry standard has been to model YouTube conversions using the conversion rate from the same ad on the same podcast episode. While this method ensures simulcast buys are not systematically undervalued, it lacks nuance and fails to account for key factors that influence performance. Podscribe’s new YouTube SmartModeling introduces a more sophisticated, data-driven approach. Instead of relying solely on audio conversion rates, SmartModeling dynamically predicts YouTube performance using a 6-point solution, including: U.S. vs. International Audience Share – Channels
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