For guests
Should You Pitch Weekly Podcasts?
A weekly show needs a new guest every week, so surely it wants yours more than the one publishing monthly does. We split 337 real feeds on publishing pace: the fast ones passed our three checks 24% of the time against 12%, and the reason is not appetite.
6 min read
Publishing pace is the first thing you can see about a podcast and the last thing anybody checks deliberately. It is right there in the feed: five episodes, seven days apart. And it comes with an inference attached that feels like arithmetic rather than a guess. A weekly show has to fill a slot every week. A monthly show has to fill one a month. So the weekly show must be hungrier for guests, and the monthly one must be picky.
We can test that, because we read the public feeds behind 360 podcasts for our directory and we measure pace from the gaps between each show's recent episodes. 337 of them carried enough dated episodes to place in a band, from "most weekdays" at the top to "monthly" at the bottom.
The inference is half right, and the wrong half is the half you were going to act on. Shows publishing weekly or faster did pass all three of our checks about twice as often as slower ones, 24% against 12%. But the column that says a show books guests barely moves across the whole ladder: 31% of the fast half against 33% of the slow half. Pace is not telling you a show wants guests. It is telling you the show is still there.
The same three checks, by publishing pace
Every readable feed we could date a pace for, placed in one band, then run through the same checks in the same order we apply everywhere else on this site.
Pace is measured from the gaps between a show's most recent episodes, which is what the feed did rather than what the show says its schedule is. "Still publishing" means it had released something within six months of the day we read the feed. "Books guests" means it publishes evidence a stranger can check, in recent episode titles or in how the show describes itself, so read that column as a floor rather than a rate. Openness is the 0 to 100 score this directory ranks on; the corpus median is 46. One feed carried too few dated episodes to measure a pace and is not counted here.
| Publishing pace | Shows | Still publishing | Has a contact route | Books guests (visible) | Passes all three | Mean openness |
|---|---|---|---|---|---|---|
| Most weekdays | 23 | 96% | 100% | 22% | 17% | 48 |
| A few times a week | 83 | 93% | 90% | 31% | 28% | 55 |
| Weekly | 133 | 81% | 86% | 32% | 23% | 47 |
| A couple of times a month | 65 | 57% | 74% | 35% | 14% | 37 |
| Monthly | 33 | 48% | 79% | 27% | 9% | 31 |
Read the last column down and you get a ladder that looks like it settles the question: 23% of the 133 weekly shows passed all three checks, against 9% of the 33 publishing "monthly". Read the "books guests" column down instead and the ladder is gone. Those rates span 13 points from end to end with no direction to them, and the highest one belongs to "a couple of times a month", a slow band, not a fast one.
Two columns, one table, opposite answers. The rest of this page is about which of them you should be acting on.
The column that refuses to move
Here is the claim being tested, stated as plainly as we can: if a fast publishing schedule creates demand for guests, the shows with the fastest schedules should show the most evidence of booking them. In our corpus they do not. Shows publishing "most weekdays" published visible guest evidence 22% of the time. Shows publishing "monthly" did it 27% of the time. The gap runs the wrong way and it is small enough to be nothing at all.
The reason is that a schedule is not a hole to be filled. It is a format decision, made once, usually before the show published anything. A daily news show and a monthly long-form interview show are not the same show going at different speeds; they are different products, and how often each one wants a stranger in the chair has nothing to do with which one publishes more.
The practical version: the schedule you can see on the feed is not evidence about you. What a show publishes about its guests is. Across the whole readable corpus that check removes most shows on its own (31% publish something a stranger can verify, so 69% do not), and it removes them regardless of how fast they are going.
So why do the fast shows still qualify twice as often?
Because of the first column, not the third. 96% of the fastest band had published something within six months of the day we read them, and 48% of the slowest band had. A slow feed and a stopped feed look identical from the outside for months, which is the whole problem: the show that publishes every six weeks and the show that published its last episode six weeks ago present the same way in your research.
Run the same comparison among the shows that were definitely still publishing and the gap almost disappears. Across every band, the fast half qualified 24% against the slow half's 12%, a 12-point spread. Among live shows only it is 28% against 23%, a gap of 5 points.
That is the finding in one line: 58% of the penalty on slow shows is that they may have stopped, not that they say no. A monthly podcast that published last month is a normal target. A monthly podcast is only a bad target when you cannot tell which of those you are looking at, and pace is what makes that hard to tell.
So keep reading the schedule, and change what you read it for. It is a liveness instrument, and a good one. It is not a demand instrument, and using it as one costs you the slow shows that are still going, which are some of the most personal inboxes in this whole corpus.
One row that is not a faster version of the others
The top row deserves a caveat rather than a reading, and the caveat is what kind of show sits in it. 48% of the "most weekdays" band is run by a network or media brand, against 20% of the readable corpus. Every one of those 23 shows published a contact route we could find, the highest rate of any band here, and they publish the least guest evidence of any band.
That is not a busy show being too rushed to book guests. It is a daily news, markets or headline format, produced by a team, that mostly does not have a guest chair at all. The contact route is easy to find because there is a press inbox behind it, and the press inbox is not waiting for your segment idea.
We publish a separate finding on what the network label does and does not tell you. Short version: it bundles two real advantages with two real disadvantages and averages out to nothing, so it is not a reason to skip a show. But it is the reason this particular row looks the way it does, and reading the daily band as "the shows that need guests most" would be exactly backwards.
What to do with a publishing schedule
Concretely, in the order you would actually do it:
- Read the last episode date first, because it is two seconds and it removes more shows than anything else you can check. It removed 78 of the 338 feeds we read.
- Then read the gaps between the last five episodes. Widening gaps mean the show is slowing, and a show that is slowing is a show that may not be publishing by the time your episode would air.
- Do not use the pace as a demand signal in either direction. Neither "it publishes weekly so it needs guests" nor "it publishes monthly so it is selective" survives contact with the data: the evidence rates across every band here sit within 13 points of each other.
- Do use the pace to set your expectation of the reply time. A show recording every week has a slot in a fortnight. A show recording monthly is booking a season, and a polite follow-up after two or three weeks is normal rather than pushy.
- Prefer the slow show that is plainly still going, especially if it is independent. The slow half of this corpus is where the least-defended inboxes are (only 7% of it is network-run against 20% of the corpus), and almost nobody pitching at volume bothers with it.
The honest summary: pace earns two seconds of your attention and then stops paying. Spend the rest of it on whether the show publishes anything at all about the guests it books, which is the check that actually separates 70 shows from 360.
Sources and benchmark date
Every figure above is derived at build time from our own read of the public feeds behind 360 podcasts between July 11, 2026 to August 16, 2026, not typed in. The method, the limitations and the raw data are public:
- Which Podcasts Actually Book Guests? (our study)
Original analysis of the 338 readable feeds inside a 360-show directory. Source for the openness score, the pace measurement and the definition of visible guest evidence used on this page. Method, limitations and the full dataset are published with it under CC BY 4.0.
- Is This Podcast Still Active?
The liveness half of this page, in full: how often shows in this corpus had quietly stopped, and the same pace bands cross-tabbed against dormancy rather than against the three checks.
- Should You Pitch Podcasts on a Network?
What the network label does and does not predict, which is the confound behind the fastest row in the table above.
- How Many Podcasts Should You Pitch?
The same three checks applied in sequence to the whole corpus: 70 of 360 shows passed all of them, which is what should size your list.
Frequently asked questions
Should you pitch weekly podcasts?+
Yes, and they are a good default, but not for the reason people give. Across 337 podcast feeds we read between July 11, 2026 to August 16, 2026, the 133 shows publishing weekly passed all three checks a guest runs before pitching 23% of the time, against 9% of the 33 publishing "monthly". That advantage is almost entirely liveness: 81% of weekly shows had published within six months against 48% of monthly ones. On the check that says a show actually books guests, weekly shows scored 32% and monthly ones 27%.
Do podcasts that publish more often need more guests?+
Our data says no, or at least that they do not show it. Guest-evidence rates across the five pace bands we measured span 13 points with no direction, and the highest belongs to "a couple of times a month" rather than to any of the fast bands. A publishing schedule is a format decision, usually made before the show launched: a daily headline show and a monthly interview show are different products, not the same product at different speeds. How often a show wants a stranger in the chair is a separate fact, and it is one you can check directly.
Is it worth pitching a podcast that only publishes monthly?+
Yes, if it is still publishing, and that is the whole condition. In our read of 337 feeds between July 11, 2026 to August 16, 2026, only 48% of the slowest band had released anything within six months, which is why the band qualifies badly overall. Among shows that were definitely still live, the slow half of the corpus passed all three checks 23% of the time against 28% for the fast half. Slow shows are also the least defended: they are markedly less likely to be network-run than the corpus average of 20%, so the pitch usually goes to the host.
How do you tell how often a podcast publishes?+
Look at the dates on the last five episodes in the feed or on the show's listing page and read the gaps between them, which is exactly what we do. That is a better measure than the schedule a show advertises, because plenty of shows describe themselves as weekly and ship twice a month. Widening gaps are the signal worth acting on: shows rarely stop abruptly, they slow down first, and a show whose gaps are stretching is a worse bet than its most recent episode date suggests.
Which podcasts are the easiest to get booked on?+
On our data, not the fastest or the biggest ones: the ones that are still publishing, publish a contact route, and publish visible evidence they book guests. Across feeds read between July 11, 2026 to August 16, 2026, 70 of the 360 shows in our directory passed all three, and they are spread across every publishing pace we measured. If you want one more filter after those, prefer independent shows with a long back catalogue: the 71 shows in our corpus with 500 episodes or more and nobody behind them average 59 on our openness scale against a corpus median of 46.
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