Why Podcast Audience Size Is The Wrong Filter For Choosing Which Shows To Pitch

Podcast audience size is the wrong filter because a download number tells you almost nothing that matters: not whether those listeners are your buyer, not whether the host actually engages them, and not whether you would even get accepted. A show with three thousand weekly listeners who are all your target buyer beats a show with thirty thousand listeners who aren't, every time.

Why does a big download number feel like the safe choice?

Chasing the biggest number is a vanity-driven mistake. It feels like due diligence. You sort a list of shows by downloads, pick the ones at the top, and pitch those first. It isn't due diligence. It's a shortcut that trades your limited pitching time for a metric you can't verify and that doesn't predict whether the show will move your business at all.

Founders do this because a big number is easy to compare and easy to justify to a colleague later. Relevance is harder to compare at a glance. It takes actually listening to an episode or two. That extra effort is exactly why it's the better filter, not a reason to skip it.

Can you actually trust the download number a host shows you?

A podcast download is not one standardized measurement. Apple Podcasts, Spotify, and a show's own hosting platform each count plays differently, and most hosts report whichever number looks best without saying which platform it came from. The download threshold a show claims to have cleared is usually self-selected, not audited.

Even where standards exist, they are voluntary. The IAB Tech Lab certifies podcast measurement practices against its own compliance guidelines, and hosting platforms apply for that certification one at a time, on their own schedule (IAB Tech Lab, 2026). A show that isn't on that certified list isn't necessarily lying about its numbers. It just means nobody outside the host has checked them.

And the baseline is smaller than most pitch lists assume. Buzzsprout's own platform data puts the median podcast episode at roughly 27 to 28 downloads in its first seven days (Buzzsprout, 2026). Most shows you'll find through a directory search are running near that median, not near the outliers that dominate the top of any category chart. If your filter is "big audience," you are filtering for a small, unrepresentative slice of the podcast landscape, using a number you can't check in the first place. For exactly what the number counts and doesn't, see what a podcast download actually counts.

A huge audience that isn't your buyer is wasted reach

Say a show clears fifty thousand downloads an episode. If those fifty thousand people are consumer app users and you sell compliance software to hospital procurement teams, the number is decoration. None of it converts. The show would need to reach a fraction of that size in the right vertical to be worth the pitch.

This is the case for audience overlap over audience size. Overlap asks a narrower question: of the people who actually listen to this show, how many look like your buyer? A niche show with a tight, relevant audience routinely beats a broad one on lead quality, because every listener who hears the interview is already close to the problem you solve. See niche podcast for how to spot one worth pitching.

What to check instead of download count

Four things matter more than the number on the show's media kit.

Audience overlap comes from the show itself, not a claim. Read the last ten to fifteen episode titles and guest list. If the topics and guest job titles look like your buyer, the overlap is real.

Host engagement shows up in whether the host replies to listener comments, runs a newsletter tied to the show, or references audience questions on air. A host who ignores their own audience won't work hard to connect you to it either.

Format fit is whether the show's structure matches what you need. A ten-minute solo-format show won't give you the airtime a forty-minute interview show will.

Acceptance odds come from the guest history. A show that only books celebrities and bestselling authors will not book an unknown founder, no matter how relevant the pitch. A show that regularly books first-time guests in your space is a realistic target.

Download count vs better filters: what each actually tells you

How should you actually vet a show before you pitch it?

Attribution for podcast guesting is genuinely weak after the fact. It depends on the show, the topic, and the buyer, and it is rarely cleanly measurable in a spreadsheet. That's the argument for front-loading the filtering work instead of hoping a big-audience show will sort itself out later. For what can be measured after a placement, see how to measure podcast guesting ROI.

In practice, vetting a show takes about the same time as reading its download stats: listen to one recent episode, skim the last ten guest names, and check whether the host talks to their audience anywhere public. That's a faster, more honest filter than any number on a media kit, and it's the filter that actually predicts whether the pitch was worth sending.

Which filter should you actually use?

Size answers a question nobody asked: how many people downloaded an episode, counted by rules that vary by platform and confirmed by no one outside the host. Overlap, engagement, format fit, and acceptance odds answer the question that matters: will this specific show, with this specific audience, actually move your business if the pitch lands. Every target show Convokast pitches on a client's behalf gets approved by that client first, on relevance, not on a downloads column, as part of the flat $499-a-month engagement with one guaranteed interview a month as the floor. If you'd rather hand this filtering to someone who checks acceptance odds and overlap before every pitch goes out, get in touch.