Podcast Analytics
Learn MoreMost Podcast Analytics Tell You Almost Nothing
Downloads. Listens. Completions. These numbers feel like data but they rarely answer the question your CFO, CMO, or VP of Sales is actually asking: is this podcast working for the business? JAR was built to answer that question. The JAR System — Job, Audience, Result — means every show we produce has defined success criteria from day one. That means measurement is built in, not bolted on. We don't hand you a dashboard and wish you luck. We help you understand what the numbers mean and what to do next.
What JAR Measures That Other Agencies Ignore
Production-first agencies track what's easy to count. JAR tracks what actually matters to the business. Here's what separates strategic podcast analytics from vanity metrics.
B2B Firmographic Analytics: Knowing Exactly Who Is Listening
For enterprise tech companies, downloads are meaningless if you don't know who is on the other end. The JAR Attribution Stack provides complex B2B firmographic analytics, giving you precise data on exactly which companies are listening to your podcast. By tracking company names, industries, and company sizes, and matching anonymous listener signals to target accounts, we prove that your content is reaching the right decision-makers.
What JAR Clients Have Seen
JAR works with mid-market and enterprise brands who need more than a nice-sounding show. These are outcomes from real clients who connected podcast strategy to business performance.
JAR Replay: Turning Listeners Into a Measurable Media Channel
Here is the measurement problem no one else is solving: your podcast audience disappears after the episode ends. You know they listened. You cannot reach them again. JAR Replay changes that. Powered by technology from Consumable, Inc., JAR Replay installs a privacy-safe pixel or RSS prefix into your podcast host — compatible with CoHost, Libsyn, Buzzsprout, and others. It captures anonymous listener signals, builds a targetable audience, and runs premium full-screen, sound-on ads across mobile apps to reach those listeners again. No names. No emails. No personal identifiers. GDPR-compliant. Full campaign reporting. For the first time, you can track what your podcast audience does after the episode — and connect that activity back to business outcomes. That is what podcast analytics should look like.
Podcast Analytics Questions We Hear Most
Teams evaluating JAR for podcast strategy and measurement ask smart questions. Here are the honest answers.