WEBVTT

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We're joined today by a new person to the show

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for us. His name is George Lejnine. He is the

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CEO and founder of PodAnalyst. George, hello.

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How are you? Pretty good. George, now, I read

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a really interesting review about your product,

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both in PodNews Daily, but also in the podcast

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TechStack. Now, it really piqued my interest

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because there are many analytic... platforms

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out there that look at how your podcast does,

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but yours is slightly different. So you're not

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focused on downloads. Tell me more about PodAnalyst.

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Yeah, it's a new analytics platform, like you

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said, and we're following the ethos that Bumper

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and Dan Meisner have established of, you know,

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the famous article that they wrote, The Death

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of the Download. Back in the day, we had the

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hit counter of the internet on your eBay page.

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And that was considered sophisticated technology.

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But now that Apple and Spotify and YouTube are

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offering far greater telemetry, I think from

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the perspective of how am I performing, you really

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should just be looking at that. Downloads should

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be just an assist, really, for covering the overcasts

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and the podcast addicts out there that don't

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share telemetry yet. But John Spurlock has that

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project going on, but I'm not going to hold my

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breath for it. smaller podcasts to implement

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anything to the degree that Apple and Spotify

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have done. The idea is that you use pod analysts

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to get first party data back from your Apple

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account and your Spotify account. And later on,

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we will have a version that gets the YouTube

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data as well. So they're the big three players

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in the market. We understand when you get the

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data back into pod analysts. First of all, is

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it you accessing your own Spotify for creators

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and your Apple? create a dashboard, pulling in

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the data. Is that how you do it? Or is there

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a more automated way? Yeah. So the general onboarding

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process from the perspective of the podcaster,

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they go into Apple podcasts and to Spotify for

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creators, and they simply invite our special

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email address as if you're literally inviting

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us for the analyst role, which allows us to read

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your data. And we have some automation set up

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to be able to pull in your data really quickly.

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So once I get the data back into my pod analyst

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dashboard, again, what is it that I get to see?

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What's the critical things that you've done that

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are uniquely different from what everyone else

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has done? So I think everyone has to have kind

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of some table stakes measurements, which is unique

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listeners. That's the big one. Listening hours

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or whatever variation of that terminology you

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want to call it. And of course you get plays

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and followers if you still care about that metric.

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But the big thing that we are really focusing

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in on is your listener retention functions. We

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have a really interesting user interface to basically

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show you all of your episodes that you have done.

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And quickly at a glance, you can start seeing

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outliers beyond just like, oh, this episode had

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1 ,000 listens. This episode had 700. What happened

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here? When you're looking at 100 episodes, you

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might get lost. And so we use a lot of color

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to... kind of visually represent how you're doing

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in terms of cool things. Like someone creates

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a promo episode saying like, Hey, you know, vote

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for us in some award show. And it's interesting.

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We saw they got like one fourth of the amount

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of starting listeners, but their retention was

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almost perfect. So everyone who was listening

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with either washing their dishes and just couldn't

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press skip on the episode, or these are your

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super fans, but like, that's the kind of stuff

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that you just. wouldn't even be able to do by

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looking at Apple or Spotify. They provide you

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this data. It's putting it together that is the

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real value in using Pod Analyst. So when you

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say putting it all together, so what would I

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do with the data that you've given me? How would

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I improve my podcast? So that's the interesting

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thing. We don't want to go down this... AI route,

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because quite frankly, I don't see it working

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really well right now. I'm not going to speak

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for the future. But this is kind of the thing

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that I was talking with you before the show about

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the difference between, say, a bumper and a pod

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analyst. You need to come in and still apply

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some analytical thinking. We're going to give

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you all the data and present it to you in a very

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visually appealing way. You need to look at the

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numbers. Like we're saying, hey, this episode

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performed incredibly poorly. Why? Well, you need

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to go look at it and you can click into an episode

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and go into your retention curves and see, hey,

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we had 50 % of people drop off because they heard

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your pre -roll and they're not interested. That's

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a very common effect. Or why did people just

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straight up leave halfway through the show? Like,

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was the content I was doing poor? We provide

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you. the ways to see that. But you, at the end

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of the day, still have to make that interpretation.

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Okay. So I get to see the histogram of how my

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episode has flowed. I can then make subjective

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changes to my next episode based on that. Oh,

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okay. Lots of people fell off at 60 minutes.

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My show's one hour 80. Clearly no one's listening.

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Let's shorten the show or that topic about a

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new... product didn't really strike with anybody.

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So maybe I've got to be careful of what topics

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I use. Okay. So that's how you're looking at

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doing it. Now it's currently in beta from what

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I understand. So it's free for everyone still

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to use. And there is a version that you say that's

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going to be free for life, but there is two price

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points. What are they? Oh, so, so the two price

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points is one is free. One is $49 a month. Right.

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Again, what would I get for my extra $49 then?

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So I like to think of it as, If you're on the

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free forever, the way we measure it is we say

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you can add all of your podcasts. So there's

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no limitation on that. What we do is we say,

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okay, across your podcasts in the last 30 days,

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how many unique listeners did you have? If you

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had less than a thousand, we consider you a free

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forever user. You get basically almost the entire

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tool set. You miss out on some of the team planning

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type stuff, you know, bringing your whole team

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with you. In the future, there's going to be

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some tools to see at a network level, how your

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whole network is performing. But those are really

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not tools. If you're running five shows and you

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get 200 listeners each per month, that's not

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relevant to what you need as a podcaster at that

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point in your growth. On the other hand, if you

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have millions of downloads, sure, 50 bucks a

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month for the premium plan and you get everything.

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Plus you get better support directly from me.

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You recently released a new version. That's still

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in beta, I assume, so you're not actually a release

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yet. So 2026 is coming up. What are you planning

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on bringing to the platform? When do you think

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it will be a full release one candidate? And

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what else do you think you want to do in 2026?

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Yeah, so we're getting closer and closer to that

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finish line. And when I say we, I do want to

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mention this is a team of one. So I am the founder.

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I'm also the developer. I'm also the support.

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But also I want to shout out to Jim Serico. He

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is my advisor. He's formerly of Cadence 13. Great

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guy, really helpful. So going back in terms of

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2026, January is probably where we want to cut

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it and say, hey, we're delivering you value.

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You know, from the hobbyist to the professional,

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there's something here that is now worth it.

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And we're already seeing this where I think it's

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something like 25 to 45 % of our weekly active

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users are just coming back. There's a certain

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proportion that. in a surprisingly large amount

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that comes back literally every single day. I'm

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looking at these people logging in and you can

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start seeing some patterns. But the big thing

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that I want to bring to 2026, which I have hinted

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on LinkedIn in comments and stuff, is to be able

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to share your podcast measurement information.

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And I want to really caveat this up front. We

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are not in the business of selling your data.

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If you don't want to have this feature, it is

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an opt -in. You have to explicitly state that

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you want to share your data. You want to provide

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as a granular of capabilities to this, going

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all the way from, hey, I want to invite my advertising

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partner. We've been doing this forever. You know,

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say like an acquired in JP Morgan. Let's give

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Jamie Dimon a permanent access to this whole

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platform. Let him see what's going on. Or, hey,

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we're working with HelloFresh. we're going to

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do these next three episodes, show them these

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three. They don't need to see everything else.

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Maybe we'll show them a few previous episodes.

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Like this is how we normally perform so they

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can set a good return on ad spend metric for

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themselves. And going all the way to, hey, I

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want to, you know, when Spotify said, hey, we're

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going to share your numbers. And if you were

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in the club of awesome, I want people to know

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how I'm doing. Then we want to offer, hey, here's

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your public information. And the huge advantage

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for podcasters and advertisers here is, as a

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podcaster, you're probably used to, hey, I'm

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Sam from Sam's awesome ad agency. Please invite

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me to Apple. Please invite me to Spotify. Let's

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hope that there's no technical issues. That's

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just a huge waste of time. One login, one invite.

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For the advertisers, no login at all, just to

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type in a code or something like that. Just really

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simplifies the whole process. Let's just go back

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a little bit about George. So you've been in

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a developer mode for quite a while now. One of

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your first products you sold to a company called

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Radio .co in Manchester. What was that product?

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It was an iOS app called Pocket Streamer. It's

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still in the App Store. And basically what it

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lets you do is if you have a Shoutcast compatible

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radio station or you're a Radio .co customer,

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you could go live directly from your iPhone.

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There's an awesome YouTube demo that they've

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done where they went out to do an interview in

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some area of London and, you know, they just

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brought a microphone, walked around. So that

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was kind of culmination for me having worked

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at Live 365 previously. And another product that

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you built was PodcastDB. What was that one? So

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PodcastDB was basically, think of like, the closest

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competitors I would say is Listen Notes and Podchaser.

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So kind of a Zoom info for podcasters is the

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best. easy description. And that one has been

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sold and has just recently been sold again to

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some company in Dubai of all places. Now with

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this one, I mean, what is your exit strategy?

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It sounds like you're going to build a really

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cool analytics platform with a big three, eventually

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Spotify, Apple, and YouTube data. It does feel

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like it's one of those products that would live

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within another product as well. As in, I can

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imagine a hosting company saying, yeah, we want

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this because this adds super quick value. It

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could be an Aqua higher stroke product purchase.

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Is that your thought process or is it too soon?

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You're just building a product. I would say it's

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probably too soon. I've definitely, it's definitely

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gone through my mind about what this could turn

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into. I don't think Daniel Ek from Spotify is

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going to be writing me an email anytime soon

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for an acquisition, given that he already has

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half of the data, but maybe he's interested in

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the other half. And, you know, I'm open to that

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conversation. But no, it's actually an interesting

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question. Working with hosting companies, I've

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heard so many people mention that to me. I would

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love to do that. If Buzzsprout, I believe they're

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one of your sponsors. I love their show, Buzzcast.

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Listen every single Friday. I listen to this

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show every single Friday too. But, you know,

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it would be awesome to work with them. I think

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it would just be a very awkward conversation

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with Apple and Spotify of like, hey, so we have

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100 ,000 logins that we need to handle. Like,

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what do we do at that point? I think it's more

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of a logistics problem rather than a technical

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problem. But it would be an awesome thing. So

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just to put this out there, the reason that we're

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even offering the free forever plan is because

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we want to encourage the whole industry to adopt

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that downloads are the new metric. And no one

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else is offering a free plan for anything right

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now. I'll call out my competitors and my friends

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here. So we've got obviously Bumper. We've got

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listener .com. We've got podstock .io. They're

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all on the same mission. Hey, downloads is the

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new thing that we need to be doing. I'm going

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to come in and say, hey, I'll take one for the

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team. I'll offer a free plan because this is

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what we need to be doing as an industry. You

00:12:49.659 --> 00:12:52.000
say downloads. I'm still not a believer that

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downloads is the metric. I'm a believer that

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listen time is the metric. It's still early in

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the morning here in California. I meant unique

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listeners, episode consumption. I totally threw

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you for a quick one there. Here's the thing.

00:13:05.460 --> 00:13:07.659
We don't even measure right now. We would like

00:13:07.659 --> 00:13:10.039
to add support for a few of the big hosting companies

00:13:10.039 --> 00:13:12.200
because we shouldn't throw away downloads because

00:13:12.200 --> 00:13:14.240
depending on your show, for example, Accidental

00:13:14.240 --> 00:13:17.500
Tech, they constantly say, hey, a huge portion

00:13:17.500 --> 00:13:19.759
of our listeners come from Overcast because obviously

00:13:19.759 --> 00:13:23.600
that same show is creating that podcast app,

00:13:23.759 --> 00:13:26.299
Marco Arment. For them, downloads might actually

00:13:26.299 --> 00:13:28.980
make sense to analyze. But for the majority of

00:13:28.980 --> 00:13:31.659
shows, we have all the telemetry that we really

00:13:31.659 --> 00:13:34.129
need. to make at least a directionally correct,

00:13:34.309 --> 00:13:36.730
if not a perfect representation of your show

00:13:36.730 --> 00:13:39.470
from the data that Apple and Spotify provide

00:13:39.470 --> 00:13:42.750
you. I think downloads are a good indicator.

00:13:42.909 --> 00:13:45.570
They are a metric. I think it's really interesting

00:13:45.570 --> 00:13:47.649
with a platform like yours is that people can

00:13:47.649 --> 00:13:51.320
see their conversion rate from... I don't know,

00:13:51.320 --> 00:13:54.779
let's say 4 ,000 downloads to 600 plays. That

00:13:54.779 --> 00:13:57.919
again is a good metric to understand. Why am

00:13:57.919 --> 00:14:00.000
I getting all these downloads, but people aren't

00:14:00.000 --> 00:14:02.080
auto converting into playing? That's another

00:14:02.080 --> 00:14:04.600
metric to look at. I think something that has

00:14:04.600 --> 00:14:06.700
been on the mind, you know, the uncomfortable

00:14:06.700 --> 00:14:10.419
question of like me as a podcaster, right? Let's

00:14:10.419 --> 00:14:12.379
just pretend I've been working with Nike and

00:14:12.379 --> 00:14:15.100
we told them, hey, we have 50 ,000 downloads.

00:14:15.240 --> 00:14:18.539
They cut us a check every month. They have a

00:14:18.539 --> 00:14:21.980
fairly consistent. Return on investment, return

00:14:21.980 --> 00:14:23.980
on ad spend, however you want to call it. And

00:14:23.980 --> 00:14:27.919
we have a George Nike 50 coupon code. And so

00:14:27.919 --> 00:14:30.059
they can track where it's coming from. And I

00:14:30.059 --> 00:14:32.259
think what's interesting to kind of look at here

00:14:32.259 --> 00:14:35.740
is, well, if you were getting 50 ,000 downloads,

00:14:35.899 --> 00:14:38.279
but you're actually getting 10 ,000 unique listeners

00:14:38.279 --> 00:14:41.519
and 10 ,000 of them actually listen to that ad,

00:14:41.700 --> 00:14:44.639
nothing changes fundamentally for Nike because

00:14:44.639 --> 00:14:48.100
they put in, say, $100 and they generate $300.

00:14:48.970 --> 00:14:51.870
That doesn't change. But now what you can say

00:14:51.870 --> 00:14:54.190
is, hey, we can now assign actual dollar values

00:14:54.190 --> 00:14:57.710
to listeners rather than back in the day where

00:14:57.710 --> 00:15:01.389
it's like, hey, maybe someone went crazy and

00:15:01.389 --> 00:15:03.809
started doing fake downloads to your show. Your

00:15:03.809 --> 00:15:05.669
hands might be clean, but you don't know that.

00:15:05.850 --> 00:15:08.350
We need to rip off the Band -Aid, have everyone

00:15:08.350 --> 00:15:10.610
establish a new baseline, and work with that

00:15:10.610 --> 00:15:13.529
because the new baseline, which is unique listeners

00:15:13.529 --> 00:15:17.110
and retention, consumption of the content, what

00:15:17.110 --> 00:15:19.820
portion was consumed. should be the thing that

00:15:19.820 --> 00:15:21.940
we're looking at. Now, one of the other challenges

00:15:21.940 --> 00:15:27.399
that I've seen is currently AI bots are all over

00:15:27.399 --> 00:15:29.820
the place consuming content. We did some analytic

00:15:29.820 --> 00:15:33.000
reviews recently and we were seeing Claude and

00:15:33.000 --> 00:15:36.460
OpenAI and the Facebook bot and the Google bot.

00:15:36.620 --> 00:15:39.720
And they're not just downloads. They're actually

00:15:39.720 --> 00:15:41.960
listen bots as well. They are actually playing

00:15:41.960 --> 00:15:44.899
the content and consuming the actual podcast.

00:15:45.850 --> 00:15:48.750
How are you dealing with that, both in the download

00:15:48.750 --> 00:15:52.450
number, but also more importantly in the unique

00:15:52.450 --> 00:15:54.970
plays and the listen retention time? Because

00:15:54.970 --> 00:15:57.549
what you don't want to be doing is conflating

00:15:57.549 --> 00:16:02.789
the listen time number with bot listens. So the

00:16:02.789 --> 00:16:05.549
good thing is, if you're using Apple or Spotify,

00:16:05.690 --> 00:16:08.769
I really hope that Claude is not smart enough

00:16:08.769 --> 00:16:12.149
to be able to access iPhone apps. We are seeing

00:16:12.149 --> 00:16:14.730
the bots actually. I mean, it might not be iOS,

00:16:14.850 --> 00:16:18.950
but web -based access. Web -based is, again,

00:16:19.009 --> 00:16:21.590
going back to the download numbers. So with Apple

00:16:21.590 --> 00:16:24.110
and Spotify, you can actually even see this in

00:16:24.110 --> 00:16:26.669
your iPhone. You can go to the podcast app and

00:16:26.669 --> 00:16:29.889
tell Apple to reset my identifier. And then that

00:16:29.889 --> 00:16:32.409
way you get de -linked or you're now being tracked

00:16:32.409 --> 00:16:35.190
as a new listener. But I think in terms of the

00:16:35.190 --> 00:16:38.529
amount of listener fraud. And the whole bot activity,

00:16:38.809 --> 00:16:41.009
I think, as far as Spotify and Apple is concerned,

00:16:41.250 --> 00:16:43.850
we're talking about getting that data from Apple

00:16:43.850 --> 00:16:45.809
and Spotify, not from your hosting provider saying

00:16:45.809 --> 00:16:48.330
Apple and Spotify, because I can lie about my

00:16:48.330 --> 00:16:50.950
user agent too. I can be on my Android phone

00:16:50.950 --> 00:16:52.990
and tell you that I'm listening from Apple Podcasts.

00:16:52.990 --> 00:16:55.889
It's very, very trivial. This is not trivial

00:16:55.889 --> 00:16:59.659
to break. So I think this is the world that we're

00:16:59.659 --> 00:17:02.399
in. I think I agree with our interview that we

00:17:02.399 --> 00:17:04.940
did with Dan Meisner and this interview here,

00:17:05.079 --> 00:17:07.019
that this is the new metric. We've been banging

00:17:07.019 --> 00:17:09.440
this drum now for a couple of years, and it looks

00:17:09.440 --> 00:17:11.660
like the tools are now appearing. We still have

00:17:11.660 --> 00:17:13.980
the ultimate problem, which is I like the big

00:17:13.980 --> 00:17:15.880
number of the download, and I don't like the

00:17:15.880 --> 00:17:18.279
small number of the unique listeners. That's

00:17:18.279 --> 00:17:20.420
the problem. If you want a pat on your back,

00:17:20.420 --> 00:17:23.019
then go look at your download numbers. But let's

00:17:23.019 --> 00:17:27.190
just say your value of creating a podcast is

00:17:27.190 --> 00:17:31.490
to spread the message, not to generate advertiser

00:17:31.490 --> 00:17:34.349
interests, then you shouldn't be looking at the

00:17:34.349 --> 00:17:36.190
download number. You should be looking at your

00:17:36.190 --> 00:17:39.349
actual consumption because at that point, you're

00:17:39.349 --> 00:17:41.730
just lying to yourself. You can still use Pod

00:17:41.730 --> 00:17:44.769
Analyst and keep selling to Nike with your downloads

00:17:44.769 --> 00:17:47.710
because now what you can do is you can look at

00:17:47.710 --> 00:17:50.609
your content, see that, hey, that pre -roll that

00:17:50.609 --> 00:17:53.470
we do, we lose 40 % of our listeners every single

00:17:53.470 --> 00:17:56.160
time. People are not even getting to the content.

00:17:56.660 --> 00:17:59.440
We can see this. The data is there. Spotify and

00:17:59.440 --> 00:18:01.839
Apple and YouTube are telling us that. Let's

00:18:01.839 --> 00:18:05.960
go one episode without a pre -roll. Or maybe

00:18:05.960 --> 00:18:08.480
we do a cold open. We do 30 seconds, and then

00:18:08.480 --> 00:18:10.920
we throw in, I guess, not technically a pre -roll

00:18:10.920 --> 00:18:13.420
at that point, but not a mid -roll either. See

00:18:13.420 --> 00:18:15.259
how that impacts it. Because let's just say a

00:18:15.259 --> 00:18:17.039
friend told me to listen to this podcast, and

00:18:17.039 --> 00:18:20.299
I'm listening to... the 50th Geico ad this week.

00:18:20.420 --> 00:18:22.059
If I'm in a bad mood, I might just not listen

00:18:22.059 --> 00:18:23.839
to it. And maybe this podcast could have become

00:18:23.839 --> 00:18:25.359
the one that I listened to for the next decade.

00:18:25.500 --> 00:18:28.059
So you want to improve your content. Why wouldn't

00:18:28.059 --> 00:18:30.660
you want to do that? George, if I want to get

00:18:30.660 --> 00:18:34.400
onto the beta and onto testing Pod Analyst, where

00:18:34.400 --> 00:18:37.599
would I go? Podanalyst .com. Just click any of

00:18:37.599 --> 00:18:40.240
the buttons that say start free forever. Right

00:18:40.240 --> 00:18:42.700
now, everybody, it doesn't matter the size of

00:18:42.700 --> 00:18:44.880
your podcast, how many podcasts you have, you

00:18:44.880 --> 00:18:47.750
can join. 24 hours after you sign up, your data

00:18:47.750 --> 00:18:49.869
will start appearing there. And then somewhere

00:18:49.869 --> 00:18:53.750
in January, probably, we're going to switch over

00:18:53.750 --> 00:18:57.289
to paid subscription. But as I said, the free

00:18:57.289 --> 00:18:59.710
forever, let's push the industry forward. Let's

00:18:59.710 --> 00:19:02.609
encourage everybody to adopt this metric. And

00:19:02.609 --> 00:19:04.950
I'd love to see people start using once the share

00:19:04.950 --> 00:19:09.069
feature comes out to see more public, large podcasts

00:19:09.069 --> 00:19:11.049
come out and say, hey, this is actually how numbers

00:19:11.049 --> 00:19:13.089
really look. Because I think that's the other

00:19:13.089 --> 00:19:15.829
thing. Get everybody comfortable. Hey. 10 million

00:19:15.829 --> 00:19:19.450
downloads, 1 million listeners. Same return on

00:19:19.450 --> 00:19:21.890
ad spend. But now you have that precision and

00:19:21.890 --> 00:19:24.109
you can see it. George, congratulations. Thanks

00:19:24.109 --> 00:19:26.470
for coming on the show. Happy Christmas to you.

00:19:26.490 --> 00:19:28.849
Thank you. Happy New Year. You too. And good

00:19:28.849 --> 00:19:31.890
luck with the release candidate in January. Absolutely.

00:19:31.950 --> 00:19:32.490
Thank you so much.
