WEBVTT - Sinclair's STIRR Bets That All TV Viewing is Local

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<v Speaker 1>Welcome to Strictly Business Varieties, weekly podcasts featuring conversations with

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<v Speaker 1>industry leaders about the business of media and entertainment. I'm

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<v Speaker 1>Cynthia Littleton, co editor in chief of Variety Today. My

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<v Speaker 1>guest is Adam Ware, vice president and General Manager of

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<v Speaker 1>National Networks and Platforms for Sinclair Broadcast Group, where is

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<v Speaker 1>knee deep in the streaming wars, but rather than global domination,

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<v Speaker 1>he's fighting for AD dollars in local markets around the country.

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<v Speaker 1>Sinclair is investing big in Stir, an AD supported platform

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<v Speaker 1>that aggregates local newscasts and other content from Sinclair's nearly

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<v Speaker 1>two hundred TV stations, where, who previously worked in distribution

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<v Speaker 1>for Fox in its early days and for Barry Diller's

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<v Speaker 1>nineteen nineties media ventures, shares insights from the experience of

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<v Speaker 1>building Stir over the past two years. In our com versation.

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<v Speaker 1>Adam Ware, vice president and General manager of Sinclair Broadcast

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<v Speaker 1>Groups National Networks and Platforms Group, thank you so much

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<v Speaker 1>for joining us. You're welcome. I think the podcast is

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<v Speaker 1>now concluded with the length of my title, and I

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<v Speaker 1>want to start by talking about one of the services

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<v Speaker 1>that you've run, which is called Stir and it's a

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<v Speaker 1>it's a streaming platform and a supported streaming platform. And

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<v Speaker 1>why it was intriguing to me and I wanted to

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<v Speaker 1>talk to you today was that we have the press

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<v Speaker 1>certainly is guilty of sort of shaping the streaming wars

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<v Speaker 1>as certainly a global race, a global chase that is

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<v Speaker 1>unprecedented in its in its geographical scope, and it is

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<v Speaker 1>definitely one of the things that is changing the game

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<v Speaker 1>for the the biggest media conglomerates. But that doesn't mean

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<v Speaker 1>that there isn't a you know, a ground game to

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<v Speaker 1>be had in streaming in local markets. And that is

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<v Speaker 1>where Stir and Sinclair with its many many stations comes in.

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<v Speaker 1>Tell us tell us about Stir, which is, if I'm

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<v Speaker 1>not mistaken, coming on about two years old, and tell

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<v Speaker 1>us sort of all the all the elements that you

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<v Speaker 1>have built in to stirre and tell us how this

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<v Speaker 1>this AD supported business is doing in this you know,

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<v Speaker 1>as we get here to the end of there is

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<v Speaker 1>a it's a national service, and I think the line

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<v Speaker 1>I like to use to explain it is it's streaming

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<v Speaker 1>TV from your local TV station for free, so as

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<v Speaker 1>opposed to being sort of this national service coming from somewhere. Uh,

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<v Speaker 1>I would love that in a focus group, if I

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<v Speaker 1>were to ask them where is stir made, they would go, oh,

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<v Speaker 1>that's that's from Fox right or or Como in Seattle, like,

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<v Speaker 1>that's my from my local TV station. So at the

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<v Speaker 1>at the core, that was putting content that was uniquely local,

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<v Speaker 1>front and center on a platform on a service. UM.

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<v Speaker 1>Stir is not an afronym for anything. Ster literally came

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<v Speaker 1>from two parts. One is the challenger side of it,

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<v Speaker 1>like stirring it up, and the other part is as

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<v Speaker 1>a mix of content, so stirring up the content. And

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<v Speaker 1>at the core of this was local news as as

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<v Speaker 1>a as a fundamental you know, uh, foundation of the service,

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<v Speaker 1>complimented by other local programming, a complimented by the local

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<v Speaker 1>syndicated hits that the stations owned and have the streaming

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<v Speaker 1>rights to in their marketplace. Uh. And then go uh

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<v Speaker 1>and build out a free service out of that, but

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<v Speaker 1>not not an on demand service because at the core

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<v Speaker 1>of this was a couple a couple of sort of

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<v Speaker 1>key factors. The first factor was, Okay, do you have

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<v Speaker 1>to have stations the top d M A s to

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<v Speaker 1>make this work? And the reality is that when you

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<v Speaker 1>look at where streaming is the strongest. It doesn't match

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<v Speaker 1>up to the top d m A right, so UM,

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<v Speaker 1>there's a there's Nielsen put out an interesting study last year.

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<v Speaker 1>I think they analyze where are the strongest d m

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<v Speaker 1>as for streaming? UM. The number one d m A

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<v Speaker 1>for streaming I think is Austin. SE. Of that d

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<v Speaker 1>m A streams, Cleveland watches the most amount per day

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<v Speaker 1>on a streaming basis. UM. Austin and Salt Lake City

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<v Speaker 1>are tied for number two among the meter markets for

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<v Speaker 1>the most that owned streaming devices right now. New York,

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<v Speaker 1>l A and Chicago are up there always because they're

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<v Speaker 1>huge populations, but it's actually it's a different footprint when

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<v Speaker 1>you look at streaming, and Saint Claire's footprint matched up

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<v Speaker 1>really nicely with that. So Austin we have a pretty

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<v Speaker 1>strong TV station in Austin, UH and Salt Lake City

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<v Speaker 1>we have a pretty strong TV station in Salt Lake

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<v Speaker 1>City and so on. So that served as the basis

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<v Speaker 1>of the footprint for can we launch a national service

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<v Speaker 1>that was locally targeted at scale and and appeal to

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<v Speaker 1>markets where they were more likely to stream? Right? I

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<v Speaker 1>think the second part of streaming is that um Nielsen,

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<v Speaker 1>the same Nielsen study, I think the stat was somewhere

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<v Speaker 1>around fifty or so. Uh watch traditional local TV news mhm. Right,

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<v Speaker 1>So there's always assumption in streamers don't watch news at

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<v Speaker 1>all and don't watch TV stations. You're watching short form

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<v Speaker 1>content produced for five cents on YouTube. That's right, That's right.

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<v Speaker 1>And and the reality is I'm sure people are, but

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<v Speaker 1>they're actually watching local TV news um. And so that

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<v Speaker 1>became the basic fundamentals. Did we have the markets? Did

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<v Speaker 1>we have a footprint that can make this work at

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<v Speaker 1>scale in the right d M s? And the answer

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<v Speaker 1>is yes, right, did we um? Did we have the

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<v Speaker 1>right genres to work locally? Yeah? Right? And Stir features

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<v Speaker 1>a hundred thousand hours of live local news a year. Uh.

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<v Speaker 1>Did we have a corporate owner that was willing to

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<v Speaker 1>invest uh and not look for an immediate r o

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<v Speaker 1>I that year because streaming takes investment. Absolutely, because Sinclair

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<v Speaker 1>as a history of that. All those ingredients went into start.

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<v Speaker 1>Let me ask you how does it work with the

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<v Speaker 1>station's how did the state? How do how does the

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<v Speaker 1>monetization work? Does the monitors that you know, if if

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<v Speaker 1>if the COMO six o'clock News gets you know, five

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<v Speaker 1>hundred thousand views. How do they get Is there a

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<v Speaker 1>process that they get credit for that? Or is that?

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<v Speaker 1>Or do or do the stations like you know, they

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<v Speaker 1>can sort of contribute their their news and their advertising

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<v Speaker 1>to the greater good of the broader Sinclair Broadcast Group.

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<v Speaker 1>Can you talk about how that works just on a

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<v Speaker 1>business proposition with having that many stations contributing to this service? Sure?

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<v Speaker 1>Sure so. Uh there's two parts that one part is

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<v Speaker 1>that um, local O T T O T T revenues

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<v Speaker 1>UH are exploding on a local basis. And and and

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<v Speaker 1>that's just the sale of O T T inventory. Um,

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<v Speaker 1>you actually get a higher CPM on a local basis

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<v Speaker 1>than you would on a national basis. It's a similar

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<v Speaker 1>between network and local spot right, the same sort of differences.

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<v Speaker 1>And the TV stations are have sales teams on the

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<v Speaker 1>street talking to local TV advertisers who want to be

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<v Speaker 1>in O T T UH in this kind of the

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<v Speaker 1>same way. Those same aviturs way back when wanted to

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<v Speaker 1>be in cable. But back then the TV station wasn't

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<v Speaker 1>selling cable, they were just selling their TV station. Well,

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<v Speaker 1>now they're selling their TV station and they're selling O

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<v Speaker 1>T T inventory and the conversations are within largely with

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<v Speaker 1>endemic advertisers. Uh. Yes, in large parts about endemic advertisers.

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<v Speaker 1>Um that want to now find campaigns across multiple platforms.

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<v Speaker 1>But then you also see new advertisers. Um, I'll give you.

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<v Speaker 1>I'll give you an example. Right, So in Bowie, Texas,

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<v Speaker 1>which is located between Fort Worth and at Ardmore, I've

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<v Speaker 1>I've actually been there a long time ago. I've been there,

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<v Speaker 1>and the stations in Texas we have, we have stations

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<v Speaker 1>in San Antonio, Austin, Abilene, to Oklahoma and so on. Uh.

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<v Speaker 1>That client is a horse auction client, and that horse

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<v Speaker 1>auction client was buying advertising locally to get people to

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<v Speaker 1>show up to the auction. They were using Facebook Live

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<v Speaker 1>as a means of streaming to those that couldn't get

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<v Speaker 1>to the auction. All of a sudden, COVID hits unless

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<v Speaker 1>people are showing up to the auction and the station

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<v Speaker 1>while liking the client, while liking Facebook Live. It was like,

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<v Speaker 1>you know, it's okay, but what more can we do?

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<v Speaker 1>We like, we like TV. We know TV advertising is

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<v Speaker 1>really powerful, and so what the stations in in that

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<v Speaker 1>territory did they met with the clients, they said, let's

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<v Speaker 1>let's brainstorm about how we can take advente of STIR

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<v Speaker 1>And so they came up with a really cool idea

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<v Speaker 1>to make a seven channel out of it. And so

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<v Speaker 1>there is a channel now called the Horse Shopping Channel.

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<v Speaker 1>It's on stir. Uh. It features live auctions of horse

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<v Speaker 1>auctions throughout a month, and then when that programming is

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<v Speaker 1>it on, it features other sort of related content on

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<v Speaker 1>that channel. And it is a completely paid for by

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<v Speaker 1>the client channel. And so that client, that local client,

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<v Speaker 1>instead of just buying thirty second commercials or using Facebook,

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<v Speaker 1>they now have their own television channel. And I mean

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<v Speaker 1>and the obviously the r o I is good enough

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<v Speaker 1>for them to continue it, like did they see a bounce?

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<v Speaker 1>It has been so far, you know. I think part

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<v Speaker 1>of how they measure their r o I is, you know,

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<v Speaker 1>do we sell more horses? Right? That's one way. I think.

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<v Speaker 1>The other is have they grown their brand? Have they

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<v Speaker 1>enhanced their brand? Uh? And they have a business model

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<v Speaker 1>that there's a lot of horse auctions out there. So

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<v Speaker 1>part of their business model is to actually now be

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<v Speaker 1>the conduit for other horse auctions who will then pay

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<v Speaker 1>the end to be on this channel, right, so they're

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<v Speaker 1>play a little broker. So as an example, that's a

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<v Speaker 1>completely new type of advertiser that's buying this OTT inventory.

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<v Speaker 1>And in that scenario, do the Texas stations have any

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<v Speaker 1>piece of the horse auction channel or is that yes,

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<v Speaker 1>Well theyn't have a piece of the channel, but they

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<v Speaker 1>get a ship. They get a commission on the revenue

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<v Speaker 1>because they were the people that execute the agreement. When

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<v Speaker 1>the inventory is sold um on stir the state. If

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<v Speaker 1>the station is selling the package to local advertiser, they

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<v Speaker 1>will get their share of that package. If the if

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<v Speaker 1>it's sold through programmatic, the station doesn't get that share

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<v Speaker 1>because it's not the station did the local sales through programmatic.

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<v Speaker 1>Um And then what we do is you have a

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<v Speaker 1>second piece of this is that we also return. So

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<v Speaker 1>that's the form of a commission. Then the other thing

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<v Speaker 1>we do is our whole model is a revenue share.

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<v Speaker 1>So any partner who's on our platform there as a

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<v Speaker 1>station or it's a third party partner, based on their

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<v Speaker 1>delivery and based on the revenue attached their delivery, they

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<v Speaker 1>get the revenues from Star. So that is that is

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<v Speaker 1>the second model for them. Um uh which I guess

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<v Speaker 1>it is a way they're selling ads. But even if

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<v Speaker 1>they don't sell an ad, they still get if they're

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<v Speaker 1>not the ones selling the ad, they'll still get their

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<v Speaker 1>share based on the popularity of programming. Most of your

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<v Speaker 1>stations in addition to making the newscasts on STIR, if

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<v Speaker 1>I go to Como or w j l A in

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<v Speaker 1>d C, do most of them offer a live stream

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<v Speaker 1>of a of a live newscast, Yeah, they do. They

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<v Speaker 1>What the what again? Where they started? And this goes

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<v Speaker 1>back to sort of again why they were sort of

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<v Speaker 1>early in streaming. What they first did is they put

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<v Speaker 1>the live stream on their website and um, people would

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<v Speaker 1>watch it, but you know, it really wasn't the primary

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<v Speaker 1>people were watching the live news. They were the primaryy

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<v Speaker 1>they were watching live news was on television. Um. Then

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<v Speaker 1>there would be a live stream in their local app,

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<v Speaker 1>but again the local app really was used more for

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<v Speaker 1>breaking news or weather or things like that. So what

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<v Speaker 1>we did with the live news was, instead of just

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<v Speaker 1>putting up a live stream of it, we said, all

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<v Speaker 1>these stations do anywhere from you know, four to six

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<v Speaker 1>hours of live local news a day, even more eight

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<v Speaker 1>hours on the high end, live local news a day.

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<v Speaker 1>Why don't we actually create a channel out of it.

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<v Speaker 1>They're already on a channel right there. They have a channel,

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<v Speaker 1>and then they're going to syndicated shows, and they go

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<v Speaker 1>on through network shows and so on. They have a

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<v Speaker 1>twenty four seven channel. Why don't we do the same thing.

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<v Speaker 1>Why don't we do this seventy three times? Because we

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<v Speaker 1>have seventy three stations that do all this local news

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<v Speaker 1>as part of the lineup, And so we came up

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<v Speaker 1>with the channel called the stir City Channel. And so

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<v Speaker 1>the stir City Channel is a localized channel. It's in

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<v Speaker 1>the first position on the platform, it's the first position

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<v Speaker 1>on the EPG. It's powered by the station. So in Baltimore,

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<v Speaker 1>it's it's stir City powered by Fox. In Seattle, it's

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<v Speaker 1>you know, stir City powered by Como News, and the

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<v Speaker 1>local news will run live on the TV station and

0:14:27.200 --> 0:14:31.760
<v Speaker 1>on their stir City channel. Then let's use Seattle as

0:14:31.800 --> 0:14:34.880
<v Speaker 1>an example. If they, let's say, have their morning news

0:14:34.920 --> 0:14:37.880
<v Speaker 1>from five to seven am, and then at seven am

0:14:38.000 --> 0:14:40.520
<v Speaker 1>they would go to Good Morning America. Well, on the

0:14:40.560 --> 0:14:43.280
<v Speaker 1>stir City channel, we wouldn't go to Good Morning America.

0:14:43.520 --> 0:14:48.320
<v Speaker 1>We go to other programming, and so Stir actually programs

0:14:48.320 --> 0:14:53.520
<v Speaker 1>out a seven channel. It's very much like an it's

0:14:53.520 --> 0:14:57.200
<v Speaker 1>a network. It's the ster City network with local affiliates

0:14:58.080 --> 0:15:01.240
<v Speaker 1>that put in their live local news. And the reason

0:15:01.280 --> 0:15:03.480
<v Speaker 1>we did that was because we believe so firmly that

0:15:03.600 --> 0:15:09.600
<v Speaker 1>linear was the way people wanted to consume uh, streaming

0:15:09.680 --> 0:15:14.800
<v Speaker 1>video that so much so that there wasn't even we

0:15:14.840 --> 0:15:17.640
<v Speaker 1>knew it was happening, but the industry couldn't figure out

0:15:17.680 --> 0:15:19.480
<v Speaker 1>a term for it. Right, it was called a VOD

0:15:20.640 --> 0:15:24.360
<v Speaker 1>So so if you had a linear a what what

0:15:24.360 --> 0:15:29.040
<v Speaker 1>what is that? And sure enough Pluto was in the

0:15:29.120 --> 0:15:33.760
<v Speaker 1>linear business, Zumo was in the linear business, Stirs in

0:15:33.800 --> 0:15:36.440
<v Speaker 1>the linear business, Peacocks in the linear business. And on

0:15:36.480 --> 0:15:39.480
<v Speaker 1>every road who channels now in the linear business. The

0:15:39.600 --> 0:15:42.960
<v Speaker 1>record Netflix in their own way, is in the linear business.

0:15:43.000 --> 0:15:47.880
<v Speaker 1>They're testing a linear channel, right, I think of France. Uh,

0:15:48.000 --> 0:15:52.160
<v Speaker 1>and an auto play from one episode to the next

0:15:52.400 --> 0:15:55.400
<v Speaker 1>is a linear experience, right, It's sitting on the couch

0:15:55.680 --> 0:16:00.080
<v Speaker 1>doing less work, someone curating something for you and and

0:16:00.720 --> 0:16:03.120
<v Speaker 1>uh And so ster City became the embodied and how

0:16:03.120 --> 0:16:04.800
<v Speaker 1>we were going to take this live local news and

0:16:04.840 --> 0:16:09.560
<v Speaker 1>put it into a ster City just for clarification. If

0:16:09.600 --> 0:16:14.000
<v Speaker 1>I'm sitting in UM St. Louis and I pull up STIR,

0:16:14.160 --> 0:16:18.480
<v Speaker 1>I'm going to get a St. Louis focused stream of information,

0:16:18.600 --> 0:16:22.080
<v Speaker 1>or I will get a pastiche of different Sinclair newscasts

0:16:22.080 --> 0:16:25.760
<v Speaker 1>from around the country. In St. Louis, you will get

0:16:25.960 --> 0:16:30.600
<v Speaker 1>a mixt right um. In Austin you will get a

0:16:30.720 --> 0:16:34.120
<v Speaker 1>local news okay, and and that's dependent on where you

0:16:34.120 --> 0:16:37.560
<v Speaker 1>have Staying Okay, go where we have news affiliates. So

0:16:38.680 --> 0:16:41.080
<v Speaker 1>that's actually the next sort of phase for US now

0:16:41.320 --> 0:16:46.800
<v Speaker 1>is to add affiliates and markets where we're not in UH.

0:16:46.840 --> 0:16:50.760
<v Speaker 1>And maybe that's multiple affiliates in markets where we're in

0:16:51.280 --> 0:16:57.000
<v Speaker 1>right um or or filling markets where we're not in UH.

0:16:58.080 --> 0:17:00.720
<v Speaker 1>That either comes from partnering with a Stay and we

0:17:00.760 --> 0:17:04.000
<v Speaker 1>are in pretty advanced talks with a couple to have

0:17:04.280 --> 0:17:07.000
<v Speaker 1>them come on join a STIR affiliates filling in some

0:17:07.080 --> 0:17:11.560
<v Speaker 1>of the bigger markets. Um Or it comes from producing

0:17:11.600 --> 0:17:15.320
<v Speaker 1>your own news in the market. So in Ohio, for instance,

0:17:15.320 --> 0:17:19.560
<v Speaker 1>we have stations and Cincinnati Columbus, so we don't have

0:17:19.600 --> 0:17:23.639
<v Speaker 1>a station in Cleveland. But the idea of using that

0:17:23.760 --> 0:17:27.160
<v Speaker 1>infrastructure to produce a news that would be relevant for

0:17:27.200 --> 0:17:32.399
<v Speaker 1>people in Cleveland or Ohio. That's clearly a path. Do

0:17:32.480 --> 0:17:35.879
<v Speaker 1>you have any national sales layer on this? Do you

0:17:36.200 --> 0:17:39.080
<v Speaker 1>like do old fashioned like barter? You know, you bundle

0:17:39.119 --> 0:17:42.359
<v Speaker 1>all the inventory that you have from your stations and

0:17:42.400 --> 0:17:45.600
<v Speaker 1>try to sell it to National spot buyers? Do you do?

0:17:46.640 --> 0:17:51.639
<v Speaker 1>Is that a factor? So there's yes. So there's multiple

0:17:51.640 --> 0:17:54.840
<v Speaker 1>pieces to it. Like one first pieces is local sales

0:17:55.080 --> 0:17:59.560
<v Speaker 1>staff going into local advertisers selling the equivalent of local

0:17:59.640 --> 0:18:04.200
<v Speaker 1>spot uh um O t T inventory. They're either selling

0:18:04.280 --> 0:18:09.640
<v Speaker 1>stir or they're selling inventory that we've purchased from Broku

0:18:09.840 --> 0:18:14.120
<v Speaker 1>for instance. UM that isn't in anything we own, but

0:18:14.160 --> 0:18:16.920
<v Speaker 1>it's we're in a better position to sell that inventory

0:18:16.960 --> 0:18:20.639
<v Speaker 1>than Roku is, and so we're arbitrary in a local newscast. Right,

0:18:22.200 --> 0:18:26.399
<v Speaker 1>it could be in you know, a cable networks app

0:18:26.560 --> 0:18:30.800
<v Speaker 1>for instance. UM, if they have inventory, we're in a

0:18:30.800 --> 0:18:33.600
<v Speaker 1>better position to sell it locally and take advantage of that.

0:18:34.320 --> 0:18:38.760
<v Speaker 1>So there is local spots sales, then there is National

0:18:38.800 --> 0:18:41.480
<v Speaker 1>spots sales, and that National Spot sales goes through a

0:18:41.520 --> 0:18:44.720
<v Speaker 1>company that we have that's called Compulsor t T. And

0:18:44.760 --> 0:18:47.080
<v Speaker 1>what that does is we go to advertisers in New

0:18:47.160 --> 0:18:50.480
<v Speaker 1>York that are interested in buying TV and O T

0:18:50.480 --> 0:18:54.840
<v Speaker 1>T in San Antonio, and we we go to that

0:18:54.880 --> 0:18:57.320
<v Speaker 1>agency with a package, and that agency then goes by

0:18:57.400 --> 0:19:03.280
<v Speaker 1>the market and that follows the spot you know, traditional

0:19:03.400 --> 0:19:05.840
<v Speaker 1>national spot business. It applies out to T as well.

0:19:06.400 --> 0:19:09.080
<v Speaker 1>Then there are advertisers that want to buy the whole

0:19:09.200 --> 0:19:12.200
<v Speaker 1>the whole country, want to buy just just one ftprint,

0:19:12.240 --> 0:19:16.479
<v Speaker 1>want to buy the platform and so on and uh.

0:19:16.760 --> 0:19:19.240
<v Speaker 1>That can come in the form of a sponsorship of

0:19:19.240 --> 0:19:24.680
<v Speaker 1>a channel or of the platform, or they own their

0:19:24.720 --> 0:19:27.760
<v Speaker 1>own channel like the horse Shopping channel is a national

0:19:27.840 --> 0:19:35.600
<v Speaker 1>channel as an example. UM. And and because we're linear,

0:19:36.359 --> 0:19:39.760
<v Speaker 1>because stir City is actually programmed day date and time,

0:19:41.040 --> 0:19:45.439
<v Speaker 1>it fits into a network format. So we can actually

0:19:45.480 --> 0:19:49.360
<v Speaker 1>sell a schedule to an advertiser based on a network

0:19:49.480 --> 0:19:53.120
<v Speaker 1>basis because it's day, date and time. What is your

0:19:54.280 --> 0:19:56.960
<v Speaker 1>what is your most important metric? Is it? I'm guessing

0:19:57.000 --> 0:19:59.760
<v Speaker 1>it's at this point it's not just raw viewership? Is

0:19:59.800 --> 0:20:03.760
<v Speaker 1>it engagement? Is it time spent with the programming? Like

0:20:03.800 --> 0:20:08.760
<v Speaker 1>what what do you look to measure your growth? Um?

0:20:09.040 --> 0:20:16.120
<v Speaker 1>Organic downloads and usage versus us buying them? Um uh

0:20:17.080 --> 0:20:19.800
<v Speaker 1>churn you know how many are we keeping and how

0:20:19.920 --> 0:20:23.000
<v Speaker 1>how how how deep are they getting into the service?

0:20:23.960 --> 0:20:26.040
<v Speaker 1>So are they spending not just that they spending a

0:20:26.080 --> 0:20:28.200
<v Speaker 1>lot of time, but are they doing a lot of discovery?

0:20:28.800 --> 0:20:32.400
<v Speaker 1>And when you say churn in an ad supported environment,

0:20:32.440 --> 0:20:35.119
<v Speaker 1>do you mean just engagement? Like if they go for

0:20:35.440 --> 0:20:38.040
<v Speaker 1>like you would cull churn, if they don't touch the

0:20:38.080 --> 0:20:41.240
<v Speaker 1>aft for a week or two or something like that, correct,

0:20:41.280 --> 0:20:45.400
<v Speaker 1>they stop using it, Yeah, which is which is quite common, right,

0:20:46.200 --> 0:20:49.280
<v Speaker 1>turn and turn in the subscription part or in the

0:20:49.280 --> 0:20:55.159
<v Speaker 1>ad supporter part is fairly significant. And um, you'll see

0:20:55.920 --> 0:20:59.679
<v Speaker 1>people in the marketplace, you know, having campaigns in rocou

0:20:59.760 --> 0:21:03.960
<v Speaker 1>store or Prime Video or whatever, uh or in the

0:21:04.000 --> 0:21:11.000
<v Speaker 1>fire TV app store weekly. Right, they're constantly refreshing the churn.

0:21:11.119 --> 0:21:15.800
<v Speaker 1>They're not just growing, they're refreshing the churn. And um,

0:21:15.840 --> 0:21:19.680
<v Speaker 1>that's one model you know where you're you're throwing tons

0:21:19.680 --> 0:21:22.159
<v Speaker 1>of money against something and you're bringing in tons of

0:21:22.240 --> 0:21:26.200
<v Speaker 1>viewers and keeping them for some part and then hopefully

0:21:26.240 --> 0:21:27.880
<v Speaker 1>getting them to watch a little bit more, a little

0:21:27.920 --> 0:21:30.080
<v Speaker 1>bit more, but most a lot of them are going

0:21:30.119 --> 0:21:33.280
<v Speaker 1>doesn't leave. That's the nature of what's happening right now.

0:21:33.520 --> 0:21:36.959
<v Speaker 1>There's a tremendous amount of sampling going on, so so

0:21:37.000 --> 0:21:40.240
<v Speaker 1>as as an example of what happened with COVID, Right,

0:21:41.080 --> 0:21:43.760
<v Speaker 1>everyone all of a sudden was at home. People were

0:21:43.800 --> 0:21:48.400
<v Speaker 1>looking for alternatives to Netflix. Right, Netflix was no longer

0:21:48.440 --> 0:21:53.920
<v Speaker 1>altern they were looking form. That was Jimmy Kimmel's joke, Right,

0:21:53.960 --> 0:21:59.200
<v Speaker 1>It was like I watched I finished Netflix last last night. Right. Um,

0:21:59.320 --> 0:22:02.880
<v Speaker 1>So you had people then sampling like crazy, and if

0:22:02.880 --> 0:22:06.119
<v Speaker 1>you were free, they sampled even more. And so the

0:22:06.200 --> 0:22:08.439
<v Speaker 1>key question for us is we always sort of knew

0:22:08.480 --> 0:22:12.119
<v Speaker 1>that that would be sort of a moment in time

0:22:13.000 --> 0:22:16.240
<v Speaker 1>and what would now what would happen after, not meaning

0:22:16.240 --> 0:22:19.840
<v Speaker 1>after COVID ended, but meaning after you So that spike

0:22:20.080 --> 0:22:22.960
<v Speaker 1>of people looking for alternatives, we knew it would settle.

0:22:23.880 --> 0:22:25.880
<v Speaker 1>And the question for us is would we go back

0:22:25.920 --> 0:22:29.639
<v Speaker 1>to where we were they just come and leave, or

0:22:29.800 --> 0:22:33.400
<v Speaker 1>would we maintain some percentage of it? So for us,

0:22:34.160 --> 0:22:37.359
<v Speaker 1>going back to the metrics that we cared about, we're

0:22:37.720 --> 0:22:41.680
<v Speaker 1>sitting now. The peak for us was somewhere in May

0:22:42.160 --> 0:22:45.600
<v Speaker 1>June forty five days I would say of late May

0:22:45.640 --> 0:22:51.359
<v Speaker 1>through early July was the peak. And um, they were

0:22:51.400 --> 0:22:54.000
<v Speaker 1>downloading us for all sorts of reasons, and we weren't

0:22:54.119 --> 0:22:57.920
<v Speaker 1>buying anything. We had no media running during that time

0:22:58.560 --> 0:23:01.320
<v Speaker 1>we had we were showing up in stores, listings and

0:23:01.359 --> 0:23:03.879
<v Speaker 1>things like that, and so they were downloading us for

0:23:03.960 --> 0:23:06.639
<v Speaker 1>local news. They were downloading us because it was free

0:23:06.680 --> 0:23:09.520
<v Speaker 1>TV and we had all this sampling. We got to

0:23:09.560 --> 0:23:13.240
<v Speaker 1>this peak. And when that happens, your session time tanks.

0:23:14.520 --> 0:23:17.800
<v Speaker 1>So on average we're at about forty minutes or so

0:23:18.000 --> 0:23:21.119
<v Speaker 1>per session time. You bring in tons of downloads, your

0:23:21.160 --> 0:23:23.920
<v Speaker 1>session time is going almost some drop because you've got

0:23:23.960 --> 0:23:29.879
<v Speaker 1>people click and gone basically. And and now I would

0:23:29.880 --> 0:23:33.719
<v Speaker 1>say we started to drop posts then and then in

0:23:33.760 --> 0:23:38.000
<v Speaker 1>August September, in October we've settled out in at a

0:23:38.040 --> 0:23:42.359
<v Speaker 1>certain level. End results were about a hundred and fifty

0:23:42.840 --> 0:23:46.240
<v Speaker 1>higher than we were pre COVID. Can you give me,

0:23:46.359 --> 0:23:48.400
<v Speaker 1>can you give me any kind of a ballpark of

0:23:48.440 --> 0:23:53.320
<v Speaker 1>what you're what that aggregated audience is sure, so you

0:23:53.359 --> 0:23:56.920
<v Speaker 1>know we're doing it about forty minutes session time. We

0:23:56.960 --> 0:23:59.920
<v Speaker 1>have about six million, a little bit over six billion

0:24:00.080 --> 0:24:04.560
<v Speaker 1>downloads of three and a half million of them are

0:24:04.760 --> 0:24:09.800
<v Speaker 1>are active. Um. That dates back from January one through

0:24:10.840 --> 0:24:13.760
<v Speaker 1>uh not that not yes, I haven't done yesterday yet,

0:24:13.760 --> 0:24:18.959
<v Speaker 1>but the day before yesterday. Um, And we're in the

0:24:19.040 --> 0:24:28.240
<v Speaker 1>neighborhood of you know, somewhere over a million monthly uniques. Um. Again,

0:24:28.280 --> 0:24:31.040
<v Speaker 1>that will fluctuate. You'll see it go signficalarly higher, you

0:24:31.119 --> 0:24:33.439
<v Speaker 1>see it go below somewhere. So I would say somewhere

0:24:33.440 --> 0:24:38.520
<v Speaker 1>in that range right now, um, which if you go

0:24:38.600 --> 0:24:41.399
<v Speaker 1>back and look where Pluto and Zumo and the others

0:24:41.520 --> 0:24:47.400
<v Speaker 1>were with with far less competition after two years, um,

0:24:47.600 --> 0:24:50.640
<v Speaker 1>we're right in line based on our understanding of where

0:24:50.640 --> 0:24:53.200
<v Speaker 1>their numbers were back then. And where does that in

0:24:53.720 --> 0:24:56.240
<v Speaker 1>terms of your plane has would you say the pandemic

0:24:56.280 --> 0:24:58.720
<v Speaker 1>the conditions of the pandemic hav acceller are you like

0:24:58.800 --> 0:25:00.879
<v Speaker 1>ahead of ahead of war you expected to be at

0:25:00.880 --> 0:25:05.040
<v Speaker 1>this point because yeah, yeah, like eighteen months ahead, so

0:25:06.119 --> 0:25:10.119
<v Speaker 1>with no marketing money, right, so we we we really

0:25:10.160 --> 0:25:12.960
<v Speaker 1>have yet to turn on the marketing part. And the

0:25:13.000 --> 0:25:15.719
<v Speaker 1>marketing part really comes in two ways. It's it's us

0:25:15.760 --> 0:25:18.800
<v Speaker 1>going in and spending money in the stores, but it's

0:25:18.880 --> 0:25:23.880
<v Speaker 1>really the local stations promoting us. And the local stations

0:25:25.040 --> 0:25:27.399
<v Speaker 1>have been promoting us a little bit as relates to

0:25:27.440 --> 0:25:30.720
<v Speaker 1>go to stir to watch your local news, because they're

0:25:30.760 --> 0:25:33.400
<v Speaker 1>also promoting their app, they're also promoting their website they're

0:25:33.400 --> 0:25:36.439
<v Speaker 1>also quoting Tonight on their own news on the station,

0:25:37.200 --> 0:25:41.480
<v Speaker 1>and then we just rolled out their syndicated programming. So

0:25:42.080 --> 0:25:44.200
<v Speaker 1>in Baltimore again, I think they own the rights to

0:25:44.280 --> 0:25:50.040
<v Speaker 1>Judge Duty, Family Feud and maybe maybe Wheel in Jeopardy.

0:25:50.040 --> 0:25:53.760
<v Speaker 1>I forget, it's all four those shows are now available

0:25:53.840 --> 0:25:58.040
<v Speaker 1>on and on demand basis in Baltimore on Stir, and

0:25:58.080 --> 0:26:02.440
<v Speaker 1>they're only available on Stir. Was that a fight with

0:26:02.480 --> 0:26:06.520
<v Speaker 1>those distributors to get those rights? Did you? Did you

0:26:06.560 --> 0:26:10.800
<v Speaker 1>have to write a bigger check for those rights? I'm

0:26:10.800 --> 0:26:13.320
<v Speaker 1>not going to comment on the terms of an agreement, right,

0:26:13.440 --> 0:26:16.920
<v Speaker 1>but suffice it to say that that I think everybody

0:26:17.040 --> 0:26:21.600
<v Speaker 1>walked away quite happy. Um and if anything, it was

0:26:21.640 --> 0:26:28.119
<v Speaker 1>a natural evolution of the partnership between you know, syndicators

0:26:28.119 --> 0:26:33.159
<v Speaker 1>and the station group first started. Sorry, sorry, just to

0:26:33.200 --> 0:26:36.600
<v Speaker 1>get very geeky syndication. Does you know Barter is a

0:26:36.640 --> 0:26:40.720
<v Speaker 1>part of all big syndication shows. Does the Barter component

0:26:41.480 --> 0:26:45.000
<v Speaker 1>continue into the into the Stir telecat you know, the

0:26:45.040 --> 0:26:52.280
<v Speaker 1>Stir simulcast. Absolutely, it's not a Stir simulcast you said

0:26:52.320 --> 0:26:57.639
<v Speaker 1>on demand, it's an on demand a stir a stir

0:26:58.840 --> 0:27:02.119
<v Speaker 1>in pattern play because I like using the word in

0:27:02.160 --> 0:27:06.439
<v Speaker 1>pattern versus the word simulcast. A stirt in pattern play

0:27:07.160 --> 0:27:10.720
<v Speaker 1>is next, so we have the we have the rights

0:27:10.760 --> 0:27:13.880
<v Speaker 1>to do that as well. The first step of this

0:27:14.240 --> 0:27:17.320
<v Speaker 1>was to roll out catch up viewing. So is it

0:27:17.440 --> 0:27:19.560
<v Speaker 1>like the next day you can get the next day's

0:27:19.560 --> 0:27:25.240
<v Speaker 1>episode midnight? I think ye. So yeah. Is there any

0:27:25.320 --> 0:27:29.760
<v Speaker 1>tension for the stations in terms of in terms of

0:27:30.080 --> 0:27:32.239
<v Speaker 1>you know, having the potential to have what you call

0:27:32.280 --> 0:27:35.640
<v Speaker 1>an in pattern telecast at you know? At the same time,

0:27:35.680 --> 0:27:38.400
<v Speaker 1>is there is there a gut level of I don't

0:27:38.440 --> 0:27:41.719
<v Speaker 1>want to let my signal out beyond my you know,

0:27:41.920 --> 0:27:45.520
<v Speaker 1>linear station, or are your general managers like they're looking

0:27:45.560 --> 0:27:47.840
<v Speaker 1>at the future and saying we've got to get We've

0:27:47.840 --> 0:27:52.840
<v Speaker 1>got to be in here too. So I think, um, so,

0:27:52.880 --> 0:27:54.280
<v Speaker 1>I think just two parts. That one is I just

0:27:54.320 --> 0:27:59.480
<v Speaker 1>think as a company, we're looking sort of at allways

0:27:59.520 --> 0:28:03.160
<v Speaker 1>of district lution of of our station and the programming

0:28:03.200 --> 0:28:07.200
<v Speaker 1>on our station and uh and then in particularly we're

0:28:07.200 --> 0:28:11.679
<v Speaker 1>looking at our signals as a as a method of streaming,

0:28:11.680 --> 0:28:14.920
<v Speaker 1>because that's really what ATFC three DONA is about. Next

0:28:14.960 --> 0:28:18.359
<v Speaker 1>gen TV is the next generation of a broadcast signal.

0:28:18.400 --> 0:28:23.200
<v Speaker 1>It's all about streaming. So all of that is consistent thinking,

0:28:23.400 --> 0:28:28.919
<v Speaker 1>right as a as A as someone who's on the line,

0:28:29.480 --> 0:28:34.400
<v Speaker 1>you know, selling day in, day out, inventory and so on,

0:28:34.480 --> 0:28:36.800
<v Speaker 1>so a general manager, general sales manager and so on.

0:28:37.119 --> 0:28:41.440
<v Speaker 1>I think there's always a nervousness about seeing your programming,

0:28:41.560 --> 0:28:43.720
<v Speaker 1>even though it's on something else you may own. There's

0:28:43.760 --> 0:28:47.200
<v Speaker 1>always a nervousness that it in some way will hurt

0:28:47.320 --> 0:28:52.840
<v Speaker 1>your primary way they're viewing, which I get. But the

0:28:52.880 --> 0:28:56.479
<v Speaker 1>reality is if they're not going to watch you over there,

0:28:56.520 --> 0:28:59.800
<v Speaker 1>they're gonna watch someone else over there right right, and

0:29:00.360 --> 0:29:04.360
<v Speaker 1>and that's what's happening. People are moving that. I mean,

0:29:04.400 --> 0:29:07.120
<v Speaker 1>I gave you some stats from Nielsen, right, there's so much,

0:29:07.240 --> 0:29:09.760
<v Speaker 1>so much. The viewing is now going on either on

0:29:09.800 --> 0:29:13.320
<v Speaker 1>an only O T T basis, or on a O

0:29:13.560 --> 0:29:17.480
<v Speaker 1>T A basis, or a combination of O T T

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<v Speaker 1>and streaming, UH and cable. But it's it's the viewing

0:29:22.280 --> 0:29:29.560
<v Speaker 1>is no longer dominated by one single input, and you

0:29:29.600 --> 0:29:37.960
<v Speaker 1>need to be in all of them. Thanks for listening.

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<v Speaker 1>Please leave us a review at Apple Podcasts. We love

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<v Speaker 1>to hear from listeners. Be sure to tune in next

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<v Speaker 1>week for another episode of Strictly Business.