Podcast Statistics: What to Pay Attention To – PCI 340
What do my podcast stats mean?
Podcast statistics can be a fun part of creating and growing your podcast. Collecting an overwhelming amount of data, we’ve prepared Blubrry’s podcast statistics in a way that podcasters can understand in the the podcaster dashboard. Today, we discuss podcast analytics overall and what creators should pay attention to.
Today’s Hosts: Mike Dell and Todd CochraneFirst and foremost, podcast statistics are not the same as web stats.
- Podcast statistics are different than web stats, which you’ll get from Google Analytics or a similar service
- They measure different things
- Web stats will count every time something hits an mp3 file as a “hit” whereas podcast stats are able to tell that it is 1 download even though the hits may be 20 or 30 on the file
- Web stats are GREAT for pages and visitors but not so much for large media files
- How many subscribers (followers) do I have?
- It’s a very hard stat to figure out
- More important stat is downloads (listens) per episode
- There are ways to ‘Guess’
- Todd’s Way
- Mike’s Way
- Blubrry now has Estimated Audience in our stats reporting
- Hosting company stats
- All hosting companies have basic stats
- Some are better than others
- Blubrry was the first podcast hosting provider to be IAB certification compliant
- 3rd party prefix stats
- Podtrac, Chartable and Blubrry! (and others)
- Prefix stats are not available for use on some platforms (hosts)
- Not a terrible idea to have a 2nd opinion to compare to your hosts stats
- Just know they will not be exactly the same ever
- How do I use metrics to grow my show or improve my show?
- Knowing what works and what doesn’t
- Measuring growth so you can see if you are going the right direction.
- Insights on where and when people listen
- On Blubrry stats, the retention graph might tell you that a segment causes people to stop listening
- Don’t obsess about your stats!
- This one is probably the most important thing to know
Got a subject you would like us to cover on the show? Drop an email to mike@blubrry.com (audio, text, video) and we may use it. You can also post a question on the Blubrry Podcasting Facebook group.
The best place for support with any Blubrry product or service is our ticket system (https://blubrry.com/support/). Tickets give the whole team access rather than direct emails or calls.
Fill out our listener survey at surveys.blubrry.com/podcastinsider
- Schedule a one-on-one with Todd (hosting customers only). Email todd@blubrry.com
- Schedule a tech checkup with Mike (hosting customers only). Email mike@blubrry.com
- Send us your podcast sticker and a self-addressed stamped envelope (SASE) and we will send you a Blubrry care package.
Our mailing address: Blubrry – MacKenzie 150 E. Campus View Blvd. #180 Columbus, Ohio 43235
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How come I can't just use
Google Analytics or use my
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web stats?
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And the problem with that is they
completely measure different things.
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You're listening to Podcast Insider,
a weekly podcast, bringing insights,
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advice, and insider tips and
tricks to help you start, grow,
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and thrive through podcasting.
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With the support of your team here
at Blueberry Podcasting, welcome.
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Let's dive in.
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This is Todd Cochran, c e o
and co-founder of Blueberry.
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And I'm Mike Dell, VP of Customer
Relations here at Blueberry. Today,
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we're gonna talk about podcast
analytics, you know, stats, and, uh,
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what stats you need to pay attention to.
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Hey, Todd, we got a
juicy subject today. Uh,
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we're gonna talk about podcast
analytics and, uh, you know,
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what do you wanna pay
attention to? What's important,
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what's not so important but fun?
You know, that kind of thing.
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You know, it, it's funny because, uh,
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I've been having a series of
meetings about this with the I E B N,
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which our stats are
certified compliant by.
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And what is important to someone on, uh,
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an advertising deal may not be important,
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is what someone that's just trying to
grow their show. So it really depends on,
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on the use case. But, you know, from
the beginning of podcast measurement,
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you know, podcasters are really, really
focused on really that play, listen,
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download, and they say, okay, if,
you know, if I've got, uh, 700 plays,
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that's, you know, means 700 people are
listening. But I think there's a much,
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much bigger picture you can
derive from your metrics than
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just, uh, looking at plays. And, you know,
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one of the things that I like
looking at is really that,
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that long-term growth line, you
know, how the show is doing over,
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uh, months and in my case
years and, uh, you know,
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it's been an ebb and flow
for me over the over time.
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Oh yeah. And, you know,
stats go up, stats go down,
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and there's not always a particular
reason for that other than, you know,
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people get tired of a show and they
take a break and then they come back.
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Or you may get a big burst, uh, you know,
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if you get mentioned something in the
news or something like that. But, uh,
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yeah, a question I get
a lot is, uh, you know,
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how come I can't just use
Google Analytics or use
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my web stats?
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And the problem with that is they
completely measure different things.
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You know,
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web stats are really good at covering
pages and how many visits you have to your
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site and all that stuff.
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But if you put an MP3 on your web server
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and somebody starts playing it or
downloading it, you're gonna, you know,
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it's gonna take it in chunks.
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And each of those chunks will
be considered a hit in web
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stats. So if one person
downloads your show,
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it might take 2030, you know,
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hits on the file to get the whole
file. So your web stats are gonna say,
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that was 20 or 30 downloads
and podcast stats.
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We, we filter that stuff out. You know,
we won't get into the geeky part of it,
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but suffice it to say, uh, they're
just different metrics. You know,
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we, we combine those 30 hits
or whatever it was on that file
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and condense that down into
one. We can do that, you know,
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via various geeky things.
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And I think one thing that, you know,
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has thank goodness gone by the wayside
is for a long time people thought they
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could look at the traffic to their
podcast r s s speed and say, oh, I had,
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you know, 82,000 hits to
my podcast feed. Well,
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that's exactly what it
was. It was a, a hit,
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it was basically a crawler or
a bot or something like that,
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looking at that, that geeky
data that's in RSS feeds.
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And that really caused lots of folks
to over-report in the early days of
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podcasting. But, you know, I think we,
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we broke that seal where folks aren't
doing that anymore. But, you know,
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I think one thing you have to just
remember is that web stats, again,
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are great to look at your web analytics,
so what's happening on your site,
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but podcast stats is specifically about
that media delivery and where it's going
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and how it's being delivered
and, and what apps and, you know,
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where in the world people
are consuming your content.
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So I think that the web stats
piece is good in its own right,
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cuz I like looking at that data too.
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You know, you kind of wanna
have both if you're, you know,
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running your own website, you do wanna
run web stats, but four web stats things,
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you know, how long people are sticking
around on your site and, you know,
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a lot of that kind of stuff that you
can't really get from podcast stats
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directly. But, uh, you know, and,
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and one of the other questions I get
a lot is how many subscribers or now
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followers do I have?
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Well, fortunately we've, uh,
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we've made available our way of,
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of, uh, calculating that and that's
available through the Thrive package.
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But it's been a very difficult
figure to actually put your pencil
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on. You know,
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it's one of those things that
there's never an exact number
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and, and we have a little bit
of methodology that we're using.
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And a lot of it is just looking
at averaging. And, you know,
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if you get the Thrive package
and look at the subscriber data,
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there's a full explanation of how we're
calculating it. It's not complicated,
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but it does do averaging
over about 12 episodes.
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So it's one of those things where
we kinda look at over time to
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give you that, that
subscriber number. Now,
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before we had that fancy
graph in Blueberry stats,
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oftentimes what I would,
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would do is I would take the total
downloads for each episode for the last
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12 episodes after it had been
delivered for at least two weeks,
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add those number up and divide it by 12.
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And I would get a pretty close number to
what I would think would be my average
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plays or downloads.
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And then I would kind of back that off
just a little bit and then kind of come
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up with a subscriber number.
But there's nothing perfect.
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Our methodology is using pure math.
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Yeah,
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I used to do it a different way and
I still kind of do is I'll take an
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episode that's say a month old and
look at just that single episode
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and then go down and figure out where
they're coming from. If they're mostly,
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you know,
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the number of people that
are coming from a mobile app
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and something called
Podcatchers, which are PC apps,
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uh, like iTunes, the original, uh,
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desktop software or Apple
Podcasts on your device,
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although that'll come up as Apple podcast,
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but it still will show up as something,
as a pod catcher in our stats.
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You add those two numbers together and
that gives you kind of a rough idea as
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well. But it's, all of them are
kind of a rough idea. Guess.
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One thing to also understand is
there's the difference between
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true followers,
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someone that has followed or subscribed
to your show and those that are
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coming in via,
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let's say Spotify or they're just
loading the Apple Podcast app up,
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or they're loading and they're looking
for your show and they hit play.
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A lot of people do that today without,
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without ever following your show.
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So what happens is, is if
someone has followed your show,
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as soon as it basically becomes
available in the RSS feed,
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if you have your podcast application
set up to automatically download that
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episode so it's available for you
really anywhere you are on demand, if,
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even if you're in an airplane that
is really a true quote unquote
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follower, but it doesn't,
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we don't wanna discount those folks
that are coming in via Spotify
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or wherever and just hitting play.
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There's a different level of
commitment there, there's still,
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there's still listeners
of the show. I mean,
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part of our calculation that we're
doing in the subscriber stats is really
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looking at that first 24 hours
as well of how many immediate
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plays or downloads happened right away.
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And that is usually a good sign within
that first 24 hour period in episodes
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available that that is probably
someone that is followed or subscribed
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to the show. Again, in the end,
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what we really care about is that
that grand total number. And,
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um,
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I think that's what oftentimes we can
use as a pretty good indication where the
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show is going. So I don't think people
should get hung up on subscribers.
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I think they really should
just focus on overall what's,
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what's my line graph of my show
doing overtime? Is it growing?
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Yeah, you want people to, to listen. You
don't care whether they hit subscribe,
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although subscribers do download the
thing automatically and and that's
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cool. Or you know, followers and
subscribers by the way are the same thing.
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We just, the terminology has
changed over the last few years. So,
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uh, excuse us, uh, oldsters here by
saying subscribe all the time, but.
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And in people, I call 'em active
listeners, there's, you know,
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that's kind of an you think what's
an active listener, Todd? Well,
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active listener could be, and
kind of in Todd's definition,
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and you can call it the way
you want it as a podcaster,
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but it's that listener that
comes in again, hits, hits play,
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and just listens to it immediately.
I know Mackenzie does this.
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She doesn't really a follower
subscribe to shows she use,
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she just hits play on the, on the
shows that she follows. So again,
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every person that consumes
content is different,
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but it doesn't mean that Mackenzie's
even less dedicated to that show.
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It means that she still
follow over that show.
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She just uses the app in
a different methodology.
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Yeah, and there's nothing wrong
with any of that. So you, again,
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total listens or total
downloads, that's another thing.
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The term that's been changing a little
is the important number, you know,
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per episode. But again, it's,
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it is kind of neat to check out your
estimated audience and, and all that.
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Of course that's available at
uh, blueberry in the stats.
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And speaking of blueberry stats,
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most hosting companies have basic stats.
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Some are better than others. Ours we
like to think is the best, you know,
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but from almost any uh, podcast hosting
company, you'll get some basic stats,
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but you might want to get a second
PI opinion. So I've got, you know,
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third party stats here
on the list and you know,
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companies like Charitable and Pod
track and of course Blueberry,
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we have standalone stats. If
you're not hosting with us,
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prefixed stats are not always
available for use on some platforms,
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what used to be called Anchor, which
is what Spotify for podcasters,
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there's really no way to, uh,
put in any prefixes there.
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Let me add something about anyone
running a prefix, including blueberry.
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When we did our IB certification,
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the first certification we
did was basically on raw
log valves for our customers
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that hosted with us. And we held
back on getting the redirect,
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or some people call it pre Penn certified
into our second round when we went
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back.
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Because what happens in a pre penned is
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we don't see everything
that happens with that, uh,
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with that playback cuz we handed off
to wherever the media file is hosted
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and if we don't have the raw log data,
there's certain data that it's not there.
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So we had to build a model, and I
won't go into the complexity of that,
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but it, it was very, very complicated
and it actually, actually,
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it has to be verified as part of
our certification every 30 days.
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So we have to run some scripts and
do some testing. So one thing you,
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you need to know if you're running
on a prefix with any company,
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and I can compensate with blueberry,
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that number's gonna be a little bit lower
than it would be if you were had our
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hosted stats.
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And it could vary depending
on your audience makeup and
how they're listening to
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the show. Cuz every app
and device and, well,
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not just mostly every app has its own yes.
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Better way kind of way of doing things.
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And we have had to build a model
that basically says, all right,
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it came from this, I can count
it came from that. No, I can't.
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So typically a prefix
stats will run five to 12,
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maybe in as high as 13% lower
from a metric standpoint in
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getting total your, your
numbers on your show. Uh,
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just because we can't
qualify the, the download to,
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to meet the certification standard.
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So one thing to remember
is as usually hosted raw
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log stats with er, with
blueberry are the most accurate.
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Even if you're running the prefix with us,
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we still look at your raw log files
and that's what we report to you. So,
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00:13:12,330 --> 00:13:15,960
um, that's the main thing to to know
here is if you're hosted with us,
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your stats that you get
are, are the most accurate.
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00:13:19,610 --> 00:13:23,360
If you're not hosting with us and using
the prefix or even if you are using the
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prefix and hosting with us, you
still get the hosted reporting.
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Whereas if you're not hosting with
us, then you just get strictly the,
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the prefix reporting and it allows us
to keep our model in line cuz we get
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to see both sets of numbers.
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We're kind of unique in the space
and being able to do that. But as,
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like Mike said, it's not a terrible
idea to have a second opinion,
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but there could be some differences.
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And the main reasons there's
differences is really methodology.
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We go above and beyond and
maybe go beyond this, the,
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the specification of IB in
qualifying the number. When we,
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when we created the blueberry stats
platform, we basically had a little motto.
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We didn't care what the number was as
long as we know what the number was,
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we don't wanna under count, we don't
wanna over count. We, we've worked very,
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very hard really over the past. I I guess
when did the stats become available?
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2006. So, you know, we worked very,
very hard to make sure they're very,
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very accurate.
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Yeah, just, just to know that, you know,
if say you're hosting with blueberries,
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00:14:24,690 --> 00:14:29,490
so you've got our hosted stats and you
want a third party for a second opinion,
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00:14:29,540 --> 00:14:33,890
so you do charitable or pod track or
whatever, it's gonna be different. Not,
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you know, they're never gonna be
exactly the same. As Todd was saying,
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the methodology, you know,
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we filter probably differently than
all the rest of them. And you know,
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that's nothing wrong with that.
It'll still show you the trending.
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It's really about bots and da it's
stuff, stuff coming from data centers,
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00:14:52,340 --> 00:14:54,640
you know, that kind of
stuff gets thrown out and,
243
00:14:54,700 --> 00:14:57,920
and we try to stay on
top of that. So again,
244
00:14:58,400 --> 00:15:00,760
everyone should be relatively
close, we would hope.
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00:15:01,180 --> 00:15:05,360
But especially if you're going from hosted
to a redirect, you could see a drop.
246
00:15:05,360 --> 00:15:06,680
Now if you see a much higher number,
247
00:15:07,110 --> 00:15:10,600
I think that would be caused for a
concern and definitely drop us a note.
248
00:15:10,600 --> 00:15:13,960
It support asking about this and
maybe the vendor you're working with,
249
00:15:16,500 --> 00:15:20,400
how do you use metrics to grow
your show or improve your show?
250
00:15:20,900 --> 00:15:25,760
And what we've tried to do
here at Blueberry recently
within the last year is to
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provide you actionable information
within your podcast stats to help
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00:15:30,500 --> 00:15:31,960
you grow your show,
253
00:15:32,650 --> 00:15:37,040
to know what works and what doesn't
to basically measure growth.
254
00:15:37,040 --> 00:15:38,880
You can see if you're going
in the right direction,
255
00:15:39,470 --> 00:15:43,600
insights on where and
when people listen. So we,
256
00:15:43,600 --> 00:15:46,920
we've put a couple of, uh, new
charts in. One that's been really,
257
00:15:46,920 --> 00:15:50,600
really popular is obviously the retention
graph that's been in the system for a
258
00:15:50,600 --> 00:15:51,030
while.
259
00:15:51,030 --> 00:15:53,520
Yeah, that's been a,
that's been a big one. And,
260
00:15:53,520 --> 00:15:58,320
and what's nice about that
is if you see some, you know,
261
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see that a lot of your listeners
are dropping off at a certain point,
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00:16:02,840 --> 00:16:06,000
go look at that certain point
of your show and say, you know,
263
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is this feature or this, uh, segment
of my show is that turning people off?
264
00:16:11,300 --> 00:16:15,960
And just remember the retention graph.
If you look at it, remember this point,
265
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if it's above the blue line,
266
00:16:18,310 --> 00:16:22,920
that means someone is click play and
we've been able to track how long
267
00:16:23,370 --> 00:16:26,960
they've listened and it's good
within, you know, 10 or 15%.
268
00:16:27,660 --> 00:16:32,000
And everything below the blue line
is where someone has definitely
269
00:16:32,070 --> 00:16:34,240
completely downloaded the episode.
270
00:16:34,240 --> 00:16:37,320
It'd be either followed or
subscribed to the show. It's, uh,
271
00:16:37,320 --> 00:16:40,080
more than likely where
someone has, uh, opted in.
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00:16:40,730 --> 00:16:44,560
So really that data above the blue line
and the retention graph is important.
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00:16:44,560 --> 00:16:44,920
Of course,
274
00:16:44,920 --> 00:16:49,520
we've got the some new graphs in the
system now where you can see pacing,
275
00:16:49,520 --> 00:16:54,080
you can basically see how one episode
compares against the other As far as
276
00:16:54,080 --> 00:16:59,080
uptake in listeners, and I love
this because you can now go and say,
277
00:16:59,080 --> 00:17:02,320
okay, I did an episode on a, B, C,
278
00:17:02,350 --> 00:17:06,520
I did another episode that was similar
to it and then I did another episode that
279
00:17:06,520 --> 00:17:10,520
was completely different.
And you can do a, an A, B, C,
280
00:17:10,830 --> 00:17:15,600
D or e comparison of episodes to look at
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00:17:15,990 --> 00:17:18,120
over time how they paste.
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00:17:18,300 --> 00:17:21,720
And if all your shows are
pacing almost the same,
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00:17:21,720 --> 00:17:24,920
that's not a bad thing,
that's actually a good thing.
284
00:17:24,920 --> 00:17:29,640
That means that you're getting good take
up on the episodes that you're putting
285
00:17:29,640 --> 00:17:32,200
out and people are listening
to all your content.
286
00:17:32,200 --> 00:17:35,040
Now if you have some
shows they're pacing much,
287
00:17:35,040 --> 00:17:37,640
much lower and they're all over the place,
288
00:17:37,640 --> 00:17:41,560
then maybe you gotta think about how
you can tighten up your content a little
289
00:17:41,560 --> 00:17:42,393
bit to get that,
290
00:17:42,530 --> 00:17:46,440
to get that pacing squeezed together
where they're all tracking, uh,
291
00:17:46,440 --> 00:17:50,920
within maybe five or 10% of each other.
So you'll wanna look at that. So again,
292
00:17:50,920 --> 00:17:53,920
if the, if your lines are almost
on top of one another, again,
293
00:17:53,920 --> 00:17:58,080
it's not a bad thing, that means
you've got good, good consistency.
294
00:17:58,290 --> 00:17:59,920
Whereas if they're really separate,
295
00:17:59,920 --> 00:18:03,440
then that is actually where the challenge
lays is where you may wanna look at
296
00:18:03,440 --> 00:18:05,800
what did I do different
in one episode or another.
297
00:18:06,030 --> 00:18:09,280
Yeah, it's like if you
have a YouTube channel,
298
00:18:09,280 --> 00:18:14,040
you'll see that certain videos do better
than other videos. So maybe it's a,
299
00:18:14,150 --> 00:18:15,920
a title issue, you know,
300
00:18:15,920 --> 00:18:20,280
you titled this episode in in
a way that turned people off or
301
00:18:20,780 --> 00:18:24,840
you know, things like that.
You, you just want to, you know,
302
00:18:24,840 --> 00:18:28,960
look at your stats and then just,
you know, hey, what can I tweak here?
303
00:18:28,960 --> 00:18:33,320
Or is there something I should tweak
here? Or, you know, whatever. But,
304
00:18:33,320 --> 00:18:33,560
you know,
305
00:18:33,560 --> 00:18:38,560
basically stats tell you what happened
and it's up to you to figure out
306
00:18:38,560 --> 00:18:41,880
why. And we give you the
tools to do that and,
307
00:18:41,880 --> 00:18:45,120
and a lot of other stats systems
do too. But, uh, I think we're,
308
00:18:45,120 --> 00:18:46,040
I think ours is better.
309
00:18:46,460 --> 00:18:47,120
And there's,
310
00:18:47,120 --> 00:18:51,560
there is definitely one chart in our stats
now that I'm surprised we haven't got
311
00:18:51,560 --> 00:18:55,400
as much feedback on it. It, it, you look
at it and you're like, oh my god, I'm,
312
00:18:55,400 --> 00:18:56,240
I'm doing horrible.
313
00:18:56,580 --> 00:19:01,480
But really you have to read
the definition of what the stat
314
00:19:01,480 --> 00:19:04,800
is providing and how we're calculating
it and the averaging that we're using.
315
00:19:05,140 --> 00:19:10,080
And the main thing to know
is that as long as that chart
316
00:19:10,080 --> 00:19:12,200
line is over time moving upwards,
317
00:19:12,530 --> 00:19:15,480
it gives you a good indication that
you're growing. And if it's flat,
318
00:19:15,510 --> 00:19:17,160
it's basically your show is,
319
00:19:17,160 --> 00:19:22,120
is kind of treading water and it
gives you some ideas on things you
320
00:19:22,120 --> 00:19:22,960
can do and, you know,
321
00:19:22,960 --> 00:19:26,640
tie that in with the audience survey
data that's in the stats system.
322
00:19:27,100 --> 00:19:31,920
You can build a pretty big picture of
your audience and maybe things you need to
323
00:19:31,920 --> 00:19:34,200
do to help grow your show. But I,
324
00:19:34,200 --> 00:19:38,760
I think the stats are just one thing
to think about on, on your show.
325
00:19:38,760 --> 00:19:39,720
There's an, you know,
326
00:19:39,720 --> 00:19:42,600
there's obviously lots of other components
here that we're not gonna talk about
327
00:19:42,600 --> 00:19:45,240
today, but, you know, just
look at those metrics,
328
00:19:45,240 --> 00:19:48,760
don't get obsessed with them
and, uh, use the data we've,
329
00:19:48,760 --> 00:19:51,880
we've provided to make logical
decisions about your show.
330
00:19:51,880 --> 00:19:55,120
And if there's something you
do not understand, then uh,
331
00:19:55,120 --> 00:19:56,960
that's where our support
team comes in at blueberry.
332
00:19:56,960 --> 00:20:01,480
Yeah. Get ahold of us. We'll, uh, we'll
try to explain as best we can and uh,
333
00:20:01,480 --> 00:20:04,160
and that, and that'll even help
us explain to other people.
334
00:20:04,210 --> 00:20:05,280
So it's kind of cool.
335
00:20:05,340 --> 00:20:08,680
And if you're one of those folks that
comes in and hits the stats refresh button
336
00:20:08,680 --> 00:20:10,680
every 15 minutes, don't obsess,
337
00:20:10,880 --> 00:20:15,840
come look at it once a day and focus
on the content. Focus on people.
338
00:20:15,840 --> 00:20:17,440
Usually they're obsessed with their stats.
339
00:20:18,010 --> 00:20:22,200
If you take that energy and move it
into other things, social promotion,
340
00:20:22,590 --> 00:20:24,480
increasing your content quality,
341
00:20:25,090 --> 00:20:28,160
that'll pay much more benefits
than sitting there and
hitting the refresh button
342
00:20:28,160 --> 00:20:30,080
every 15 minutes cuz
we know some of you do.
343
00:20:30,660 --> 00:20:35,120
Yep, for sure. And you know, one
of the fun things which, you know,
344
00:20:35,120 --> 00:20:37,520
I don't know how important
it is, but it, uh,
345
00:20:37,520 --> 00:20:42,000
is the maps that you can see, you
know, where your listeners are,
346
00:20:42,220 --> 00:20:45,600
you know, you were saying you had, you
had a listener down in uh, Antarctica.
347
00:20:45,630 --> 00:20:50,320
Well, you know Yeah. And not that
that's useful for growing your show,
348
00:20:50,320 --> 00:20:52,480
but it's really cool and gives
you something to talk about.
349
00:20:52,550 --> 00:20:55,800
Yeah. And you know, and I did a call out
for this individual said, Hey, where,
350
00:20:55,800 --> 00:20:57,720
where are you listening?
You know, how, you know,
351
00:20:57,720 --> 00:20:59,840
what are you doing down in
Antarctica? It was a scientist,
352
00:20:59,840 --> 00:21:03,960
it was down there on the ice and he'd
load his phone up with podcasts and go out
353
00:21:03,960 --> 00:21:07,760
and do research and then about every two
weeks he was back to do a refresh and
354
00:21:07,760 --> 00:21:10,880
get more content. And that's
when I heard from him. So it's,
355
00:21:10,880 --> 00:21:13,960
it's kind of cool to have those
kind of, uh, call outs as well.
356
00:21:13,960 --> 00:21:17,520
That's some of the fun stuff you can get
from stats when you see that listener
357
00:21:17,520 --> 00:21:20,200
that's in some where wayward
country and you're running,
358
00:21:20,420 --> 00:21:22,520
why are they listening there? You know?
359
00:21:22,520 --> 00:21:25,440
And it's always good to get that
response from that audience member.
360
00:21:25,790 --> 00:21:28,280
Yeah, for sure. Well, I I think we,
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00:21:28,280 --> 00:21:32,640
we got a nice overview here of
stats and if you have any questions,
362
00:21:32,640 --> 00:21:35,160
of course you can get ahold of us and, uh,
363
00:21:35,160 --> 00:21:37,480
ask the question and
we'll try to help you.
364
00:21:38,070 --> 00:21:41,480
Thanks for joining us. Let's meet
up next week. And in the meantime,
365
00:21:41,480 --> 00:21:44,360
for more information to
subscribe, share or follow,
366
00:21:44,440 --> 00:21:49,440
check out the show
notes@podcastinsider.com to
check out our latest suite
367
00:21:49,440 --> 00:21:52,040
of services and help Blueberry can
help you leverage your podcast.
368
00:21:52,040 --> 00:21:55,320
Visit blueberry.com. That's
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