What a Good Podcast Pitch Response Rate Looks Like

Nobody can tell you the average response rate for podcast pitches, because nobody holds the data. Pitches are sent from personal mailboxes without campaign tracking, which means there is no aggregate to measure. Every figure circulating on this subject has been borrowed from B2B cold email sales research, and that research measures a different activity.

The useful number is your own, built from thirty or forty sends. This article covers why the borrowed benchmarks fail and what to track instead.

The borrowed numbers disagree with each other

Two 2026 vendor studies of cold email illustrate the problem well.

The Instantly Cold Email Benchmark Report 2026 puts the overall average reply rate at 3.43 percent, with a top quartile above 5.5 percent and an elite tier above 10.7 percent, drawn from platform-wide data across its workspaces for the 2025 calendar year.

Belkins reports an average reply rate of 0.45 percent across all its 2025 campaigns, based on 7.5 million cold emails sent through its client work.

Same channel, same year, roughly a sevenfold gap. Both are defensible within their own methodology. They measure different senders, different list quality, different definitions of a reply and different levels of tracking inflation. Neither one was ever an attempt to describe podcast pitching.

Quoting either figure at a podcast pitch campaign is borrowing a number from a context where the recipient is a purchasing target rather than someone who actively needs guests. That difference runs in your favour, but it does not produce a number you can hold anyone to.

Why podcast pitching resists benchmarking

Four structural reasons, all of which apply no matter how carefully you measure.

Volume is too low for stable rates. A founder pitching fifteen shows a week produces sixty sends a month. At that sample size, two extra replies moves your rate by three percentage points, so month-to-month variation is mostly noise.

Target quality dominates. A list of forty active, well-matched shows and a list of forty scraped from a directory without checking activity will produce completely different rates from identical copy. Rate differences across people usually reflect list construction rather than writing.

A reply is not a single thing. A booking, a "not right now, try us in the spring", a referral to a different show and a polite decline are all replies, and they are worth wildly different amounts. Any single percentage collapses that.

Nobody sees open rates. Pitches sent from a normal mailbox carry no tracking, which is the correct trade-off, and it means you cannot separate "not read" from "read and declined".

Build your own baseline instead

The process is straightforward and takes about a month.

1. Send thirty to forty pitches to shows you have actually researched.
2. Follow up two or three times on each, on the original thread, over three to four weeks.
3. Count every reply, and separately count the ones that led to a booking.
4. Record the angle used against each send.

That gives you two numbers: reply rate and booking rate. Both are yours, both are comparable to your own past performance, and neither depends on anyone's vendor blog.

Count replies only after follow-up has finished. Measuring reply rate on first sends alone understates it substantially, because a large share of podcast replies arrive after the second or third message. The follow-up sequence guide sets out the spacing worth using.

What the number should make you do

The rate itself is not the deliverable. The decision it drives is.

That last row is the common one. Reply rate falling as volume rises is the clearest evidence that personalisation has stopped happening, and the fix is fewer, better-researched sends rather than more copy iterations.

The number that actually matters

Reply rate is a diagnostic. Interviews booked per month is the outcome, and the two can move independently.

A 20 percent reply rate on twenty pitches to shows that were never going to book you is worth less than a 5 percent rate on eighty pitches into the right tier. Optimising the percentage can quietly lead you toward easier, smaller shows, because they reply more readily.

Work backwards from what you want instead. If the goal is two interviews a month, and your own baseline says roughly one in eight replies converts to a booking, you can derive the send volume required and check whether that fits your week. That arithmetic is honest because it uses your measured conversion rate rather than an industry figure, and it usually produces the real conclusion, which is a decision about time.

Where this leaves the honest answer

A good podcast pitch response rate is one that is better than your last thirty sends and is producing bookings on shows you actually wanted. There is no external number that is meaningful here, and anyone offering one either measured something else or made it up.

Track your own, keep the sample honest by counting after follow-up, and change target selection before you change sentences.

Where to take this next

Set up four columns in a sheet, send thirty researched pitches over the next month, and do not draw a conclusion before that. The pitch generator will speed up the drafting so the research time survives.

If the arithmetic says the required volume does not fit your week, that is a legitimate result. Convokast runs the target list, the pitching and the follow-up for $499 a month, with a minimum of one guaranteed interview each month and your approval on every show before it is pitched.

Sources: Instantly Cold Email Benchmark Report 2026, Belkins B2B Cold Email Response Rates.