WEBVTT - In a Marketing World that is Known

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<v Speaker 1>What's up. I'm Laura Currency and I'm Alexa Kristen. Welcome

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<v Speaker 1>back everyone. We've got two great guests on the show.

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<v Speaker 1>Kern Shearson, chairman and CEO of Known, and Ross Martin,

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<v Speaker 1>President and Chief Experience Officer of Known. So, Laura, we've

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<v Speaker 1>never actually talked to, and I don't know if there

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<v Speaker 1>is an agency or a modern marketing company that exists

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<v Speaker 1>today that is truly equal parts data, strategy, and creative.

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<v Speaker 1>We've had holding companies by data companies, We've had data

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<v Speaker 1>analytics companies by creative agencies, and they've become kind of

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<v Speaker 1>tacked on in parts of a whole. But really what

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<v Speaker 1>Known is doing is they've taken those three components that

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<v Speaker 1>are equal experts and truly created one agency that works

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<v Speaker 1>together on equal parts to create and bring the best

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<v Speaker 1>creative work and the best kind of need based marketing

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<v Speaker 1>to their clients and their consumers. Yeah, Alex, I think

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<v Speaker 1>it's an interesting business model that Ross and Kerner after

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<v Speaker 1>in bringing data and creativity to the center together. And

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<v Speaker 1>I think coming into the conversation with Ross and Kern

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<v Speaker 1>was really kind of posing a question or or had

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<v Speaker 1>a question of well, who wins in a tiebreaker and

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<v Speaker 1>you're actually going to hear this in the show. Does

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<v Speaker 1>does data lead or does creativity lead? And even as

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<v Speaker 1>I think over the last few episodes, we've had this

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<v Speaker 1>sort of tension of well, is it numbers or is

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<v Speaker 1>it gut? I think it's interesting to think about this

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<v Speaker 1>as you listen to the conversation is this an ant

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<v Speaker 1>or is this an oor situation? And I think this converse,

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<v Speaker 1>Asian has been one that the industry has been having

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<v Speaker 1>for years now, and we've been having on this show

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<v Speaker 1>for for three seasons, yeah, and the last ten fifteen years.

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<v Speaker 1>And I think that Ross and Kern are onto something

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<v Speaker 1>that is different, the details of which and the nuance

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<v Speaker 1>of which comes through in this conversation. So with that,

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<v Speaker 1>we'll be right back. We are back at Landia with

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<v Speaker 1>exciting partners from yield Mo. We are here with Lisa

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<v Speaker 1>Bradner GM of Analytics and Teddy John d E, head

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<v Speaker 1>of Product. So we're here to talk with Lisa and

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<v Speaker 1>Teddy about making attention actionable over the next four episodes

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<v Speaker 1>of Atlantia. Let's start from the top. What is yield Mo.

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<v Speaker 1>Yield Mo is a next generation marketplace powered by attention

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<v Speaker 1>analytics superior formats and real time data. So Lisa would

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<v Speaker 1>love for you to expand on what yield mo does

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<v Speaker 1>and share with our listeners how yield mo thinks about

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<v Speaker 1>and approaches the market. Well, I think you have to

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<v Speaker 1>start with you know the vision everybody has for advertising, right,

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<v Speaker 1>we have this perfect vision. We're advertising flows like water.

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<v Speaker 1>The right people see your ad, they get the right creative,

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<v Speaker 1>they're inspired, they go by your product. Every impression is

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<v Speaker 1>valuable and it just flows right. Doesn't quite work like that,

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<v Speaker 1>never has, But I think you know Programmatic. When that launched,

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<v Speaker 1>we were really trying to say, how do we connect

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<v Speaker 1>this ecosystem and make everything flow? With programmatic, We've spent

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<v Speaker 1>all the time talking about the pipes, like it's so cool.

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<v Speaker 1>We can deliver a lot more impressions, a lot faster,

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<v Speaker 1>we can reach your entire audience. But you know what,

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<v Speaker 1>if you're put in sewage in those pipes, you've just

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<v Speaker 1>wasted a whole lot of money really really quickly. So

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<v Speaker 1>I like to step back and say, all right, great,

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<v Speaker 1>we've built the infrastructure, we're great blumber, but let's talk

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<v Speaker 1>about what we're putting through those pipes. Let's make sure

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<v Speaker 1>it's quality. Let's make sure it's clean, let's make sure

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<v Speaker 1>everybody knows that it's fraud free and can be trusted,

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<v Speaker 1>and let's make sure we're not poisoning our own ecosystem.

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<v Speaker 1>What do you when you talk about quality? I think

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<v Speaker 1>that's such an interesting part of the conversation. Quality is

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<v Speaker 1>a great question. Right. As an industry, we've been sort

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<v Speaker 1>of stuck in lowest common denominator. Right, we talked about viewability,

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<v Speaker 1>and we talk about fraud free or you were seen

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<v Speaker 1>by a human not a box. But if you even

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<v Speaker 1>look into the definition of view ability, it is a really,

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<v Speaker 1>really really split second of moment where it's on the page.

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<v Speaker 1>It's not exactly something I think that any brand person

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<v Speaker 1>would say, Yeah, my brand showed up great. But it's

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<v Speaker 1>a place to start, and it was a common denominator

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<v Speaker 1>we could all rally around. But the reason we look

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<v Speaker 1>at attention at yield mode in addition to those signals

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<v Speaker 1>is we want to go a layer deeper to say,

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<v Speaker 1>all right, we know it was seen by a human being,

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<v Speaker 1>we know it was on the screen, and how long

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<v Speaker 1>did they care, were they interested? Did they signal that

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<v Speaker 1>to them it was a quality? Add experience and something

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<v Speaker 1>they wanted to engage further in. And the better job

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<v Speaker 1>we can do of matching the person, the device, the impression,

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<v Speaker 1>the time, and the creative the higher quality that add

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<v Speaker 1>experience is going to be for everybody. So how is

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<v Speaker 1>yield MO helping the industry navigate the pipes? We have

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<v Speaker 1>a marketplace with highly curated, high quality inventory, but it's

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<v Speaker 1>not a walled garden, right, anybody can play and the

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<v Speaker 1>data goes in, the data goes out. We are working

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<v Speaker 1>across the ecosystem to find the highest quality inventory, bring

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<v Speaker 1>our formats and our data to that and create a

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<v Speaker 1>really really great brand experience that's good for the user

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<v Speaker 1>tou that's in the context of what they're looking at,

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<v Speaker 1>and bring all that together to make sure that we're

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<v Speaker 1>delivering quality experiences and that the money we're spending is

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<v Speaker 1>going to quality publishers. Teddy, what are your thoughts on

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<v Speaker 1>AD experiences? Those two words actually don't typically go together,

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<v Speaker 1>but the meaning when you put those words together around

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<v Speaker 1>actually creating an AD experience that someone wants and potentially

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<v Speaker 1>even anticipated right or needed, I think actually does create

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<v Speaker 1>an experience. How are you guys thinking about that? Well,

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<v Speaker 1>that's the idea behind quality advertising is can you deliver

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<v Speaker 1>an ad experience to a user that actually influences and

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<v Speaker 1>allows them to make a brand decision. And that's what

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<v Speaker 1>we try to do it. You'll most we try to

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<v Speaker 1>You know, there's a great technology out there. You can

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<v Speaker 1>buy ads and serve them anywhere, but what is actually

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<v Speaker 1>making an impact? And we focus on trying to allow

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<v Speaker 1>marketers to seed at with with our investment and attention

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<v Speaker 1>and so they can quickly decide, well, this is working

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<v Speaker 1>and this isn't You do you both talk about the

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<v Speaker 1>kind of green spaces, what i'll call green shoots. Are

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<v Speaker 1>you working with brands do you identify through these different

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<v Speaker 1>ad experiences new white spaces and green shoot areas for

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<v Speaker 1>their products for audience development? And if so, how are

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<v Speaker 1>you thinking about that? I love this notion of green shoots. Right.

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<v Speaker 1>I've always said when you work in marketing, you're always dating,

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<v Speaker 1>You're never married. Right. Every time you show up it's

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<v Speaker 1>a chance to impress your customer and you never get

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<v Speaker 1>to hang out in the catch and sweatpants. Right, It's

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<v Speaker 1>like you've got to prove yourself every day. But you know,

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<v Speaker 1>I think that if you think about those fast moving

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<v Speaker 1>media metrics. If you can be really agile with the

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<v Speaker 1>ad experience and when with the data, you can recognize

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<v Speaker 1>when a green shoot is happening. And I think as marketers,

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<v Speaker 1>we've always gone top down, right, here are my segments,

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<v Speaker 1>here are the people I'm talking to. But you know,

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<v Speaker 1>we saw this in the pandemic. People who hadn't bought

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<v Speaker 1>certain brands in twenty years all of a sudden ripped

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<v Speaker 1>them off the shelf. So as a brand person, you've

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<v Speaker 1>always have to be listening for that surprise signal that

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<v Speaker 1>signals an opportunity you may not be thinking about. And

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<v Speaker 1>our agile data structure allows our brands to work with

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<v Speaker 1>us to do just that. Lisa Bradner, Teddy Jwadi from

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<v Speaker 1>yield Mo, thank you for being our partners, Thank you

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<v Speaker 1>for coming on at Landia, Thank you for having us,

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<v Speaker 1>and we are back at Landia. Welcoming back to guests.

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<v Speaker 1>Curren Jeerson, Chairman and CEO of Known, and Ross Martin,

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<v Speaker 1>president and Chief Experience Officer of Known, Welcome, guys, welcome,

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<v Speaker 1>thank you great to be here, so good. So the

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<v Speaker 1>first question everyone wants to know is what is known?

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<v Speaker 1>Known came together out of three? Really? Uh, leaving companies.

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<v Speaker 1>Company I found it almost twenty years ago is a

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<v Speaker 1>data science and advanced analytics company me UM. It's called

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<v Speaker 1>it was called Cheerson Associates, which is my last name.

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<v Speaker 1>So you can see I was not on the creative side.

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<v Speaker 1>You don't you don't want to hire me for naming.

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<v Speaker 1>I think I added the associates so people would think

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<v Speaker 1>I had associates. But that was about his That was

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<v Speaker 1>about as creative as a god. But this was a

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<v Speaker 1>company that was doing data science before it was called

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<v Speaker 1>data science. For a lot of the big tech companies

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<v Speaker 1>are our clients for twenty years, like Google and Microsoft

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<v Speaker 1>and Amazon. UM. So tons of PhDs and just number

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<v Speaker 1>crunctures and the other components come out of the brilliant

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<v Speaker 1>creative mind and strategic mind of Ross Martin, who ran

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<v Speaker 1>a company called Blackbird that I think somehow he must

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<v Speaker 1>have been strategic because he got you guys to talk

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<v Speaker 1>about it well two years ago. He was with us

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<v Speaker 1>two years ago talking about Blackbird. Let him back in.

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<v Speaker 1>I want him back in. I want current to continue

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<v Speaker 1>talking about knowing. But I will just stop for one

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<v Speaker 1>second for an ad for Atlanta to say when I

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<v Speaker 1>was originally on your podcast. I think I got seventeen calls,

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<v Speaker 1>so I think I owe you a chunk of cash.

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<v Speaker 1>And anybody ever, anybody who ever shows up on this podcast,

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<v Speaker 1>if you make it this far, you're good. Like Malcolm Gladwell, congratulations,

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<v Speaker 1>you have now made it and you have a chance

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<v Speaker 1>at the same kind of career that I have had

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<v Speaker 1>over the last few years. Because I was on this

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<v Speaker 1>and they add, you were the first guest to do

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<v Speaker 1>live poetry on Atlantia. So Kern, I hear that you

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<v Speaker 1>may try to want I may, I may so fastinuing

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<v Speaker 1>with known U, the third component of this, the third heat,

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<v Speaker 1>if you will, came out of a group called Stunt Creative,

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<v Speaker 1>which is really a best in class creative and production

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<v Speaker 1>studio at l A. Again you know, twenty years in

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<v Speaker 1>the business, won every award on the planet, and the

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<v Speaker 1>unifying belief that brought us together was this idea that

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<v Speaker 1>art and science needed to live together in a real way,

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<v Speaker 1>not in a big box consultancy buys global creative agency way,

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<v Speaker 1>and um, you know, we felt like there was a

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<v Speaker 1>place for these capabilities to sit around the table as equals,

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<v Speaker 1>as friends, as partners, um, where everybody had a superpower,

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<v Speaker 1>but we all wanted to work together to create the

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<v Speaker 1>right outcome for our clients. So kar and put that

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<v Speaker 1>into practice, right because you're doing a tremendous amount of

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<v Speaker 1>work with TikTok right now seeing some of the work

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<v Speaker 1>you're doing with the A n A around see her.

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<v Speaker 1>So if you look at the spectrum of work that

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<v Speaker 1>you have, the body of work that's out in the market,

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<v Speaker 1>when you bring together those three pillars data, strategy, creativity,

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<v Speaker 1>how is that manifesting? It's a great question, um So,

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<v Speaker 1>So I think the the process. You know, what you

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<v Speaker 1>see is creative, and what you see is creative that

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<v Speaker 1>you hopefully remember, um And that really is evocative, and

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<v Speaker 1>that is hitting you in a place and at a

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<v Speaker 1>time that makes sense, right, and that that those other

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<v Speaker 1>aspects are not what people remember, but they're part of

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<v Speaker 1>our process. So the place we like to start is

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<v Speaker 1>with the fundamental questions. And this goes back to the name.

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<v Speaker 1>You know, like we wouldn't be in the marketing and

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<v Speaker 1>advertising industry if we hadn't a long and hired about

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<v Speaker 1>the seven different meanings of our name. But that you know,

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<v Speaker 1>the first question is like what know yourself as a brand? Right, Well,

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<v Speaker 1>what do you stand for? What do you mean in

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<v Speaker 1>the world? Know your customers? Uh, why do they care

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<v Speaker 1>about you? What do they think, feel and believe about you?

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<v Speaker 1>And what do they need to know to understand whether

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<v Speaker 1>or not you fit into their life? And then how

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<v Speaker 1>do you make that know? How do you bring that

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<v Speaker 1>to life insights out, emotion and in a way that

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<v Speaker 1>it creates a real emotional fonts and though that that

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<v Speaker 1>is the process. So like when we sit down, whether

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<v Speaker 1>it's with a client, TikTok or see her or vivent

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<v Speaker 1>or any of these or memorial sunkettering, right, it's those

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<v Speaker 1>questions in that order. Um, what is this brand, what's

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<v Speaker 1>happening to it? How does it exist in the world,

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<v Speaker 1>How do we find the right audiences, how do we

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<v Speaker 1>connect with them in the times and places and ways

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<v Speaker 1>that makes sense? How do we bring that into being

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<v Speaker 1>in a way that's beautiful and evocative and and it's

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<v Speaker 1>great you know that people see our creative on the

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<v Speaker 1>world and remember it. But the process that gets it

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<v Speaker 1>there is really what we think drives a lot of

0:13:37.880 --> 0:13:41.559
<v Speaker 1>the impact for our clients because we're not wasting impressions,

0:13:42.360 --> 0:13:45.719
<v Speaker 1>we're not wasting the audience's time. So that's that's sort

0:13:45.720 --> 0:13:47.480
<v Speaker 1>of the science side that's harder to see and touch,

0:13:48.040 --> 0:13:50.520
<v Speaker 1>but is really part of why we think this stuff

0:13:50.559 --> 0:13:53.880
<v Speaker 1>works so hard for our clients. So ross last time

0:13:53.920 --> 0:13:56.000
<v Speaker 1>you were on the show, UM, we were talking all

0:13:56.080 --> 0:14:01.800
<v Speaker 1>things Blackbird. How did Blackbird come to work with Current?

0:14:02.400 --> 0:14:06.520
<v Speaker 1>So Blackbird came to work with Kern and also with

0:14:07.120 --> 0:14:10.280
<v Speaker 1>Jeff Kingsley, who is the chief operating officer of Sheerson

0:14:10.320 --> 0:14:13.160
<v Speaker 1>and now the president and CEO of Known, and also

0:14:13.240 --> 0:14:17.400
<v Speaker 1>came to work with Brad Roth and Mark Feldstein from

0:14:17.440 --> 0:14:20.720
<v Speaker 1>Stun because back in the day by Coom, when I

0:14:20.720 --> 0:14:25.120
<v Speaker 1>was running marketing, UM, I was their clients. Sheerson Associates

0:14:25.200 --> 0:14:27.800
<v Speaker 1>and Stun were like my secret weapons, and so I

0:14:27.880 --> 0:14:31.040
<v Speaker 1>knew very well what those two companies were capable of

0:14:31.520 --> 0:14:35.560
<v Speaker 1>and how fantastic they were they you know, even if

0:14:35.560 --> 0:14:38.600
<v Speaker 1>other people didn't know that yet. UM, and I was

0:14:38.640 --> 0:14:40.960
<v Speaker 1>making a living on the work they were doing. Um.

0:14:41.040 --> 0:14:44.360
<v Speaker 1>The truth is Blackbirds, as you know, it was going well.

0:14:44.440 --> 0:14:46.800
<v Speaker 1>It was two two and a half years old, and

0:14:47.240 --> 0:14:50.240
<v Speaker 1>I loved it. But every once in a while, or

0:14:50.320 --> 0:14:53.640
<v Speaker 1>like once in your lifetime, there's a generational opportunity to

0:14:53.800 --> 0:14:57.440
<v Speaker 1>do something really unique. And special, not just disruptive, but

0:14:57.560 --> 0:15:03.680
<v Speaker 1>game changing. So the hypothesis of known represented a generational opportunity.

0:15:04.000 --> 0:15:07.400
<v Speaker 1>If what we believe to be true UM and possible

0:15:08.040 --> 0:15:11.880
<v Speaker 1>could actually be achieved, then this this wouldn't be sort

0:15:11.880 --> 0:15:13.880
<v Speaker 1>of just a good business opportunity, but it would be

0:15:13.880 --> 0:15:17.320
<v Speaker 1>a game changing UM I guess inflection point for how

0:15:17.400 --> 0:15:20.480
<v Speaker 1>marketing gets done in the twenty one century. And I

0:15:20.520 --> 0:15:23.400
<v Speaker 1>know it sounds like I'm vastly overstating that, and maybe

0:15:23.440 --> 0:15:25.480
<v Speaker 1>I'm a couple of years ahead of other people getting

0:15:25.480 --> 0:15:27.720
<v Speaker 1>what we're trying to do, and it probably sounds a

0:15:27.720 --> 0:15:31.000
<v Speaker 1>little arrogant, But in the beginning, we weren't sure, right,

0:15:31.080 --> 0:15:35.080
<v Speaker 1>So we put these companies together and we started to

0:15:35.080 --> 0:15:37.640
<v Speaker 1>try to go to market together as a unified set

0:15:37.680 --> 0:15:40.320
<v Speaker 1>of capabilities. And think of it almost like as a

0:15:40.360 --> 0:15:44.720
<v Speaker 1>moment of Pangaea where the continents come back together on Earth,

0:15:45.320 --> 0:15:48.840
<v Speaker 1>when the marketing capabilities and advertising capabilities that never should

0:15:48.840 --> 0:15:53.680
<v Speaker 1>have been separated are actually unified and there's no fidelity

0:15:53.760 --> 0:15:58.160
<v Speaker 1>loss between them. When that happens, you actually returned to

0:15:58.320 --> 0:16:02.560
<v Speaker 1>being UM. Not is efficient and effective and transparent, but

0:16:02.680 --> 0:16:05.560
<v Speaker 1>you can actually align the goals of your company with

0:16:05.640 --> 0:16:08.520
<v Speaker 1>the business interests of your clients. And when you can

0:16:08.560 --> 0:16:13.080
<v Speaker 1>do that, then you provide the first meaningful alternative to

0:16:13.160 --> 0:16:17.040
<v Speaker 1>the holding company model in a long long time. That's

0:16:17.080 --> 0:16:20.240
<v Speaker 1>the opportunity that I saw. That's the opportunity that we saw,

0:16:20.520 --> 0:16:23.960
<v Speaker 1>And more importantly, it's it's the opportunity that dozens of

0:16:24.040 --> 0:16:28.400
<v Speaker 1>clients saw and and and really pulled us together um

0:16:28.440 --> 0:16:32.960
<v Speaker 1>to provide a comprehensive set of marketing services for them.

0:16:33.000 --> 0:16:35.320
<v Speaker 1>So a lot of holding companies would say the same thing,

0:16:36.720 --> 0:16:41.560
<v Speaker 1>what is setting known apart? What I think is setting

0:16:41.640 --> 0:16:47.080
<v Speaker 1>us apart is truly best in class in every discipline.

0:16:47.200 --> 0:16:49.240
<v Speaker 1>Right In some cases, and I was kind of joking

0:16:49.240 --> 0:16:52.120
<v Speaker 1>about it before, you've got companies that are pretty good

0:16:52.840 --> 0:16:58.160
<v Speaker 1>at data and analytics and process and technology trying to

0:16:58.280 --> 0:17:04.280
<v Speaker 1>glue on creative capability. And now you know exactly how

0:17:04.280 --> 0:17:07.440
<v Speaker 1>that relationship works. You know who is the step child

0:17:07.440 --> 0:17:09.520
<v Speaker 1>of who, and who drives? You know who's got the

0:17:09.520 --> 0:17:12.480
<v Speaker 1>bigger revenue line and what bread is butter were right,

0:17:12.520 --> 0:17:16.480
<v Speaker 1>like we all know, um. And in other cases, you've

0:17:16.520 --> 0:17:21.720
<v Speaker 1>got a creative shop or a traditional media buying company

0:17:21.960 --> 0:17:25.600
<v Speaker 1>hiring a couple of people who maybe have an undergrad

0:17:25.640 --> 0:17:28.480
<v Speaker 1>degree in math or economics and no a little are

0:17:28.840 --> 0:17:31.360
<v Speaker 1>or sequel and they're like, no, we have data capabilities,

0:17:31.600 --> 0:17:34.160
<v Speaker 1>or even buying a data company, which by the way,

0:17:34.400 --> 0:17:41.120
<v Speaker 1>is like the most ridiculous thing for supposedly impartial agency

0:17:41.119 --> 0:17:43.240
<v Speaker 1>to be doing. But leaving that to the side for

0:17:43.240 --> 0:17:45.800
<v Speaker 1>a second, what we thought was exciting about this in

0:17:45.920 --> 0:17:48.080
<v Speaker 1>kind of the cultural synergy that led up to this

0:17:48.119 --> 0:17:51.880
<v Speaker 1>combination was not just the thesis, not just the business opportunity,

0:17:51.920 --> 0:17:56.040
<v Speaker 1>but the cultural synergies and the fact that currently the

0:17:56.080 --> 0:18:01.520
<v Speaker 1>top creative director at Known Studios won't stop calling our

0:18:01.600 --> 0:18:05.800
<v Speaker 1>chief technology officer to talk about you know, non stochastic

0:18:05.880 --> 0:18:11.000
<v Speaker 1>modeling and like creative optimization. It's like, that's happening, that's

0:18:11.080 --> 0:18:16.040
<v Speaker 1>actually happening because the creative team is totally gigging out

0:18:16.040 --> 0:18:19.359
<v Speaker 1>on the data. The data scientists, and you know, this

0:18:19.440 --> 0:18:23.400
<v Speaker 1>is also a real, a real different thing. We've got

0:18:23.400 --> 0:18:30.840
<v Speaker 1>like postdoctoral PhD data scientists, like actual data scientists who

0:18:31.320 --> 0:18:35.960
<v Speaker 1>extend the analytics capability of clients like Amazon and Microsoft

0:18:36.080 --> 0:18:40.119
<v Speaker 1>and Google when they're not working on our advertising clients.

0:18:40.200 --> 0:18:43.000
<v Speaker 1>And that's that's not that's not even in the realm

0:18:43.080 --> 0:18:45.639
<v Speaker 1>of firepower at these other agencies and our creatives who

0:18:45.640 --> 0:18:48.880
<v Speaker 1>are making these moments that break culture are also best

0:18:48.920 --> 0:18:51.119
<v Speaker 1>in class and they love each other. And our strategists

0:18:51.280 --> 0:18:52.720
<v Speaker 1>are sitting there in the middle of it saying, I

0:18:52.720 --> 0:18:55.240
<v Speaker 1>cannot believe like the weapons that we get to deploy

0:18:55.680 --> 0:19:00.679
<v Speaker 1>both on the inbound customer insight and the creation of

0:19:01.040 --> 0:19:07.520
<v Speaker 1>breakthrough storytelling. So who gets the tiebreaker in data versus gut? Well,

0:19:07.600 --> 0:19:10.080
<v Speaker 1>there there isn't one. That's not a that's not like

0:19:10.400 --> 0:19:14.119
<v Speaker 1>it's that's just not the process that we run. The

0:19:14.560 --> 0:19:16.720
<v Speaker 1>like they're not at odds with each other. What happens

0:19:16.880 --> 0:19:22.000
<v Speaker 1>is are creative and strategy teams have brilliant ideas, and

0:19:22.119 --> 0:19:27.520
<v Speaker 1>as often happens in creative ideation and all the sort

0:19:27.560 --> 0:19:30.560
<v Speaker 1>of like work that leads up to an incredible campaign

0:19:31.359 --> 0:19:33.680
<v Speaker 1>is there are a bunch of things that people love.

0:19:34.359 --> 0:19:37.840
<v Speaker 1>And then there's like that final round of tweaking and

0:19:37.880 --> 0:19:40.480
<v Speaker 1>tuning of like do we alpha this up or down?

0:19:40.520 --> 0:19:42.600
<v Speaker 1>Like what's the color mix? How big is the like

0:19:42.720 --> 0:19:44.720
<v Speaker 1>how much do we pull into the foreground background? Like

0:19:44.760 --> 0:19:47.720
<v Speaker 1>what you know where? Like how tight is the focus

0:19:48.280 --> 0:19:53.480
<v Speaker 1>those things? It turns out you don't have to guess,

0:19:53.520 --> 0:19:55.800
<v Speaker 1>So the gut is all there like that you see

0:19:55.840 --> 0:19:58.399
<v Speaker 1>the heart I would think in our TikTok campaigns, you

0:19:58.440 --> 0:20:00.760
<v Speaker 1>see the heart and see her. You see the heart

0:20:00.880 --> 0:20:03.840
<v Speaker 1>in what everything our studios turns out, and like the

0:20:03.960 --> 0:20:07.359
<v Speaker 1>creative minds at work there, like that's real, that wasn't

0:20:07.400 --> 0:20:12.480
<v Speaker 1>computer generated. And then the question is of all the

0:20:12.680 --> 0:20:20.879
<v Speaker 1>thousands of different perspectives and backgrounds and sort of the

0:20:21.200 --> 0:20:24.359
<v Speaker 1>constellation of audience out there. Each person is a little

0:20:24.359 --> 0:20:26.960
<v Speaker 1>bit different, each platform is a little bit different. So

0:20:27.000 --> 0:20:29.840
<v Speaker 1>how do I match the absolute best version of the

0:20:29.840 --> 0:20:36.200
<v Speaker 1>creative to the right individual audience member based on everything

0:20:36.240 --> 0:20:38.399
<v Speaker 1>I can into it about them in the right place,

0:20:38.520 --> 0:20:40.600
<v Speaker 1>at the right time, in the right format, on the

0:20:40.680 --> 0:20:47.080
<v Speaker 1>right platform. That's where data takes creative and like beautiful creative, evocative,

0:20:47.119 --> 0:20:50.159
<v Speaker 1>creative and supercharges it. And that's where we see the

0:20:50.280 --> 0:20:55.760
<v Speaker 1>results going absolutely crazy. I want to go back to

0:20:55.880 --> 0:20:58.920
<v Speaker 1>something that you said that I think is probably if

0:20:58.960 --> 0:21:02.000
<v Speaker 1>we don't go back to his probably passed over pretty easily.

0:21:02.840 --> 0:21:07.760
<v Speaker 1>You have twenty five pH d data scientists and analytics

0:21:07.760 --> 0:21:14.600
<v Speaker 1>folks working with Amazon, Google, Microsoft, not on marketing creative.

0:21:15.320 --> 0:21:19.679
<v Speaker 1>We have about seventy analytics people working outside of the

0:21:19.720 --> 0:21:23.240
<v Speaker 1>marketing space. I'm just talking about like the what I

0:21:23.280 --> 0:21:25.000
<v Speaker 1>was trying to say, is of the of the advanced

0:21:25.000 --> 0:21:28.600
<v Speaker 1>degrees working in advertising? These are not people when we like,

0:21:29.320 --> 0:21:31.560
<v Speaker 1>you see listings out there and tors when we're not

0:21:31.560 --> 0:21:34.360
<v Speaker 1>trying to you see listings out there for you know,

0:21:34.680 --> 0:21:39.400
<v Speaker 1>data scientists or advertising analysts, and they'll say things like,

0:21:39.520 --> 0:21:44.439
<v Speaker 1>you know, Excel skills are a must. Excel skills are

0:21:44.480 --> 0:21:47.360
<v Speaker 1>not a must, right like they're there there. There are

0:21:47.440 --> 0:21:50.600
<v Speaker 1>profoundly more powerful tools. And so when we when when

0:21:50.640 --> 0:21:52.960
<v Speaker 1>we list a position for a data scientists, that's a

0:21:53.040 --> 0:21:59.280
<v Speaker 1>person who's coming out of uh typically like a postdoctoral

0:21:59.480 --> 0:22:04.679
<v Speaker 1>fellowship up at a leading academic institution, and you know,

0:22:04.840 --> 0:22:07.800
<v Speaker 1>the folks on that team talk about sort of rehabilitating

0:22:08.080 --> 0:22:13.280
<v Speaker 1>academics and and helping them find these new careers, you know,

0:22:13.400 --> 0:22:17.440
<v Speaker 1>from physics finding looking searching for the ghost particle in

0:22:17.440 --> 0:22:22.040
<v Speaker 1>in mild cubic mild blocks of Arctic ice, to trying

0:22:22.040 --> 0:22:27.359
<v Speaker 1>to identify audience signals in social and and digital environments.

0:22:27.520 --> 0:22:30.639
<v Speaker 1>And our strategy and our analytics and data science teams

0:22:31.080 --> 0:22:34.679
<v Speaker 1>are beating out their pure play competitors with clients like

0:22:34.720 --> 0:22:37.720
<v Speaker 1>Google and Amazon and Facebook. Can you double down on

0:22:37.760 --> 0:22:44.000
<v Speaker 1>the seamlessness of your data scientists talking to your creative leads.

0:22:44.400 --> 0:22:47.879
<v Speaker 1>Is that appairing that we need to see more of

0:22:47.920 --> 0:22:51.399
<v Speaker 1>in the market. I think it's the thing that UM, I,

0:22:52.200 --> 0:22:54.440
<v Speaker 1>at the end of the day get most excited about

0:22:54.480 --> 0:22:57.800
<v Speaker 1>in our business. And in this sort of crazy concoction

0:22:57.920 --> 0:23:00.840
<v Speaker 1>that that we're delivering, that's what really he got us there,

0:23:01.000 --> 0:23:02.720
<v Speaker 1>That's what got us to the point of saying, we

0:23:02.760 --> 0:23:05.360
<v Speaker 1>all have great businesses. Can you give us an example

0:23:05.560 --> 0:23:07.879
<v Speaker 1>where like you were in a creative pitch and you

0:23:07.880 --> 0:23:10.520
<v Speaker 1>you brought out data scientists and it was like, at

0:23:10.560 --> 0:23:14.840
<v Speaker 1>that point, completely unexpected for the narrative of what I'm

0:23:14.840 --> 0:23:18.720
<v Speaker 1>assuming brand marketers typically here in a creative pitch. Yeah, look,

0:23:18.760 --> 0:23:20.760
<v Speaker 1>it happens all the time. We were I don't want

0:23:20.760 --> 0:23:23.320
<v Speaker 1>to name the client, but we were working on a

0:23:23.440 --> 0:23:29.240
<v Speaker 1>pretty important campaign that started with a deep dive into

0:23:29.240 --> 0:23:35.280
<v Speaker 1>some micro segmentation, and um what we found in the

0:23:35.320 --> 0:23:38.000
<v Speaker 1>micro segmentation and the attributes and you've got a data

0:23:38.040 --> 0:23:41.520
<v Speaker 1>scientists sort of walking through like these are the drive

0:23:41.680 --> 0:23:45.639
<v Speaker 1>this is the driver model of you know, who is

0:23:45.880 --> 0:23:49.000
<v Speaker 1>likely to be persuadable of outcome air B or c

0:23:50.080 --> 0:23:54.120
<v Speaker 1>um and And what we realized in that was that

0:23:54.240 --> 0:23:58.400
<v Speaker 1>the the creative that the client wanted was something that

0:23:58.520 --> 0:24:01.399
<v Speaker 1>was really sort of edgy and sharp and fresh, and

0:24:01.440 --> 0:24:04.919
<v Speaker 1>what and what the audience wanted was to be spoken

0:24:04.960 --> 0:24:07.879
<v Speaker 1>to an authentic way about values, right like, and you

0:24:07.880 --> 0:24:11.439
<v Speaker 1>could see it and it just like it spun the

0:24:11.480 --> 0:24:14.320
<v Speaker 1>creative ideation around, not because that not because it's not

0:24:14.359 --> 0:24:17.640
<v Speaker 1>like not because they were being lectured by the data scientists,

0:24:17.680 --> 0:24:20.040
<v Speaker 1>but because they were discovering it together, because the data

0:24:20.080 --> 0:24:25.160
<v Speaker 1>scientist was surfacing a constellation of attributes and the creatives

0:24:25.160 --> 0:24:28.520
<v Speaker 1>were saying, hold on, that's not what was That's not

0:24:28.560 --> 0:24:30.880
<v Speaker 1>what was in the brief at all, Like what you're

0:24:30.920 --> 0:24:33.399
<v Speaker 1>telling me? And am I understanding this? Right? Like if

0:24:33.440 --> 0:24:37.280
<v Speaker 1>you're saying that it's suburban zip codes and it's you know,

0:24:37.600 --> 0:24:42.200
<v Speaker 1>non Apple devices and it's you know, these kinds of demos,

0:24:42.280 --> 0:24:44.800
<v Speaker 1>like that's not what they're asking for. Why are we

0:24:44.880 --> 0:24:48.080
<v Speaker 1>doing that? And like you could just feel this this

0:24:48.320 --> 0:24:52.520
<v Speaker 1>momentum building and jelling around a different vision of the

0:24:52.560 --> 0:24:56.960
<v Speaker 1>opportunity and and the arc of the story that needed

0:24:57.000 --> 0:24:59.520
<v Speaker 1>to be told for this brand that wasn't gonna get

0:24:59.560 --> 0:25:02.280
<v Speaker 1>told But wasn't. It wasn't a research report that was

0:25:02.320 --> 0:25:05.359
<v Speaker 1>plopped down on a desk, right it was it was

0:25:05.400 --> 0:25:08.359
<v Speaker 1>a live collaboration and and by the way, that goes

0:25:08.400 --> 0:25:13.240
<v Speaker 1>in both directions, you know, and I've seen creative teams

0:25:13.280 --> 0:25:16.200
<v Speaker 1>working through a pitch and coming back to the scientists

0:25:16.200 --> 0:25:18.480
<v Speaker 1>and saying like, can we test this? Does this feel right? Like?

0:25:18.720 --> 0:25:21.639
<v Speaker 1>How would we start to focus into signals and social

0:25:21.640 --> 0:25:25.000
<v Speaker 1>media to understand if I've got the right phrasing here,

0:25:25.080 --> 0:25:27.960
<v Speaker 1>the right meme, the right kind of moment and culture

0:25:28.000 --> 0:25:30.760
<v Speaker 1>like is this what it needs to be? Or should

0:25:30.760 --> 0:25:32.280
<v Speaker 1>I look over here? Because I can't. I'm weighing these

0:25:32.320 --> 0:25:35.200
<v Speaker 1>two options. And so sometimes it's the refinement. Sometimes it's

0:25:35.200 --> 0:25:37.919
<v Speaker 1>a kind of a revelation. And then I think what

0:25:38.000 --> 0:25:41.600
<v Speaker 1>happens after the fact. We look at the performance of

0:25:41.600 --> 0:25:44.320
<v Speaker 1>all these campaigns, even if their brand campaigns. We're running

0:25:44.359 --> 0:25:48.359
<v Speaker 1>five seconds snapshots of every exposure that happened in every

0:25:48.359 --> 0:25:51.639
<v Speaker 1>five seconds, and what are all of the what's all

0:25:51.640 --> 0:25:54.480
<v Speaker 1>the metadata around that? How do we understand that atomic

0:25:54.520 --> 0:25:59.840
<v Speaker 1>intersection of creative an audience and every day the path

0:26:00.000 --> 0:26:03.320
<v Speaker 1>and matching that happens, which is a collaborative process between

0:26:03.359 --> 0:26:07.040
<v Speaker 1>the creatives and the data scientists together reviewing these five

0:26:07.080 --> 0:26:11.159
<v Speaker 1>second snapshots and reviewing these sort of patterns and trends

0:26:11.160 --> 0:26:14.800
<v Speaker 1>that are coming out leads to a re racking of

0:26:14.920 --> 0:26:19.720
<v Speaker 1>some of the really hyper specific nuances of the creative

0:26:19.760 --> 0:26:22.199
<v Speaker 1>as it's happening in each platform and each subsegment. So

0:26:22.200 --> 0:26:24.399
<v Speaker 1>they're like, okay, all right, we gotta swap out that

0:26:24.520 --> 0:26:26.800
<v Speaker 1>art because like it's definitely like that stuff is not

0:26:26.920 --> 0:26:31.560
<v Speaker 1>working on Facebook. It's working great on you know, on

0:26:31.600 --> 0:26:34.479
<v Speaker 1>digital display, but we got like and for search, I

0:26:34.520 --> 0:26:36.920
<v Speaker 1>feel like this copy right here, let's change that one

0:26:37.359 --> 0:26:40.120
<v Speaker 1>word like And then the brainstorming happening with the data

0:26:40.160 --> 0:26:42.680
<v Speaker 1>scientists and the creatives at once, saying why that word,

0:26:42.720 --> 0:26:44.000
<v Speaker 1>what do we think it could be? What do we

0:26:44.000 --> 0:26:46.919
<v Speaker 1>think like what is working in other parallel platforms, and

0:26:46.960 --> 0:26:49.200
<v Speaker 1>you know what, like we literally had a moment. We're

0:26:49.240 --> 0:26:53.199
<v Speaker 1>swapping out a single word in digital display, drove the

0:26:53.240 --> 0:26:59.480
<v Speaker 1>results of that ad by one word. What you're seeing

0:27:00.680 --> 0:27:04.440
<v Speaker 1>is really exciting to me, and it's actually very different.

0:27:05.400 --> 0:27:11.000
<v Speaker 1>So what people aren't doing. People aren't actually going off

0:27:11.119 --> 0:27:16.080
<v Speaker 1>of their web metrics or their basic campaign metrics, or

0:27:16.280 --> 0:27:21.440
<v Speaker 1>they've got isolated first party data and analytics. What you're

0:27:21.480 --> 0:27:24.879
<v Speaker 1>doing because you're talking about the whole thing and the

0:27:25.040 --> 0:27:28.520
<v Speaker 1>right stuff at the right time and that's easy to say,

0:27:28.600 --> 0:27:31.439
<v Speaker 1>but lots of folks when they're talking about data and analytics,

0:27:31.720 --> 0:27:35.280
<v Speaker 1>they're talking about campaign metrics. And something we talked about

0:27:35.640 --> 0:27:41.480
<v Speaker 1>was the hypothesis that more brands, more companies, more marketers

0:27:42.080 --> 0:27:48.400
<v Speaker 1>need to build a multi layer hypothesis hypotheses and run them.

0:27:48.680 --> 0:27:52.400
<v Speaker 1>That's exactly right. The campaign is the beginning right day.

0:27:52.440 --> 0:27:55.120
<v Speaker 1>What if you were to ask me, uh, the night

0:27:55.160 --> 0:27:59.360
<v Speaker 1>before a big campaign launches, like, is this gonna work tomorrow?

0:28:00.000 --> 0:28:02.080
<v Speaker 1>I'll say, I don't know if it's going to work

0:28:02.080 --> 0:28:04.440
<v Speaker 1>tomorrow morning, but I think it has a better chance

0:28:04.480 --> 0:28:07.160
<v Speaker 1>of working by mid day or later in the day

0:28:07.240 --> 0:28:09.439
<v Speaker 1>because of what we learned in the morning, right Like,

0:28:09.680 --> 0:28:13.439
<v Speaker 1>the very beginning of a persistent optimization loop is the

0:28:13.480 --> 0:28:16.400
<v Speaker 1>most exciting time because what you're doing is treating everything

0:28:16.440 --> 0:28:18.920
<v Speaker 1>that's going out in the world as a social experiment

0:28:19.320 --> 0:28:22.040
<v Speaker 1>that you get to learn from. And the more quickly

0:28:22.080 --> 0:28:25.760
<v Speaker 1>you can metabolize that information and act on those insights

0:28:26.320 --> 0:28:29.800
<v Speaker 1>with the help of machine learning and an AI, the

0:28:29.840 --> 0:28:33.600
<v Speaker 1>more quickly you can optimize. Whether it's the creative, the channel,

0:28:33.720 --> 0:28:38.160
<v Speaker 1>the time, the messaging, the copy itself, the beating algorithm,

0:28:38.240 --> 0:28:42.120
<v Speaker 1>it's all of those. That's why we say, for a

0:28:42.160 --> 0:28:45.200
<v Speaker 1>campaign like the one we are about the launch on Sunday,

0:28:45.280 --> 0:28:48.080
<v Speaker 1>if you were looking from our control room, you'd see

0:28:48.120 --> 0:28:51.240
<v Speaker 1>ten to twenty permutations going out at the same time,

0:28:51.920 --> 0:28:53.520
<v Speaker 1>and we're gonna learn a lot from each one of

0:28:53.560 --> 0:28:55.200
<v Speaker 1>them in real time. Can you tell us about the

0:28:55.200 --> 0:28:58.600
<v Speaker 1>campaign that's going out Sunday. Yeah, So we took on

0:28:58.640 --> 0:29:01.080
<v Speaker 1>a new client where the Agency of Credit's Vivint, the

0:29:01.200 --> 0:29:05.760
<v Speaker 1>I V I n T Home security UH company, and

0:29:05.760 --> 0:29:08.600
<v Speaker 1>and it's a smart home company essentially, and you know

0:29:08.680 --> 0:29:12.120
<v Speaker 1>it's it's it's becoming a loud, noisy competitive space, especially

0:29:12.200 --> 0:29:15.040
<v Speaker 1>during the pandemic. This is a company that is hot

0:29:15.080 --> 0:29:18.760
<v Speaker 1>as hell, like they are performing incredibly well. It's a

0:29:18.800 --> 0:29:24.800
<v Speaker 1>publicly traded company, but current multi multibillion dollar company four

0:29:24.880 --> 0:29:27.640
<v Speaker 1>percent on aided awareness, right like just you just haven't

0:29:27.680 --> 0:29:29.520
<v Speaker 1>heard of it because it is loud, it's noisy out there.

0:29:29.560 --> 0:29:32.760
<v Speaker 1>But but that's about to change. And um, we've got

0:29:32.760 --> 0:29:36.400
<v Speaker 1>a really fun campaign or as Ross would say, campaigns

0:29:37.080 --> 0:29:39.600
<v Speaker 1>um that that's going to support them out there in

0:29:39.640 --> 0:29:41.240
<v Speaker 1>the world coming up with and there's gonna be some

0:29:41.320 --> 0:29:43.280
<v Speaker 1>time pole placements and I want to come back to

0:29:43.320 --> 0:29:45.960
<v Speaker 1>also like the art of this is not lost. The

0:29:46.000 --> 0:29:49.600
<v Speaker 1>core creative is super funny, you're gonna see it. And

0:29:49.640 --> 0:29:52.600
<v Speaker 1>what's the right sequencing of creative and how do you

0:29:52.720 --> 0:29:59.520
<v Speaker 1>move people from awareness to advocacy to intent? Right like that,

0:29:59.600 --> 0:30:02.800
<v Speaker 1>those things, like they're massive differences based on what they

0:30:02.800 --> 0:30:04.880
<v Speaker 1>see in what order, even if all the creatives great,

0:30:05.040 --> 0:30:07.880
<v Speaker 1>what what's what's really really interesting about this moment in

0:30:07.920 --> 0:30:11.760
<v Speaker 1>time for Adlandia fans, right because the marketing and advertising

0:30:11.800 --> 0:30:15.880
<v Speaker 1>community listens to this podcast religiously. Here's the thing, like

0:30:16.680 --> 0:30:21.200
<v Speaker 1>there we're sort of seeing a bifurcation in the CMO land, right,

0:30:21.480 --> 0:30:24.239
<v Speaker 1>Like there are cmos who are you know, are just

0:30:24.480 --> 0:30:27.320
<v Speaker 1>not ready for this stuff, Like they don't really need

0:30:27.400 --> 0:30:29.920
<v Speaker 1>to care that much and they're just sort of managing

0:30:30.960 --> 0:30:33.600
<v Speaker 1>as they did before. But there's a new breed of

0:30:33.640 --> 0:30:38.400
<v Speaker 1>cmos and marketing leadership. For example, you mentioned TikTok. We

0:30:38.520 --> 0:30:40.880
<v Speaker 1>couldn't do what we do if if they didn't have

0:30:41.040 --> 0:30:44.200
<v Speaker 1>Nick Trent in that seat leading that team, if they

0:30:44.240 --> 0:30:47.240
<v Speaker 1>didn't have a team that was just excited about the

0:30:47.240 --> 0:30:49.880
<v Speaker 1>marriage of art and science as we are. We couldn't

0:30:49.920 --> 0:30:53.160
<v Speaker 1>do it with just any client. And what's fantastic about

0:30:53.160 --> 0:30:55.040
<v Speaker 1>the clients that we've been able to assemble. It's not

0:30:55.120 --> 0:30:57.600
<v Speaker 1>that they're all big brand, awesome names, which many of

0:30:57.640 --> 0:31:01.360
<v Speaker 1>them are, but they are all of sort of the

0:31:01.400 --> 0:31:05.240
<v Speaker 1>future economy of marketing. These are all human beings who

0:31:05.360 --> 0:31:08.880
<v Speaker 1>understand everything we are talking about on this podcast right now,

0:31:09.320 --> 0:31:11.880
<v Speaker 1>and they do it. That's why the marketing flywheel can

0:31:11.920 --> 0:31:14.720
<v Speaker 1>actually happen. TikTok's a unique example because it's such a

0:31:14.720 --> 0:31:17.880
<v Speaker 1>gigantic global platform and there's so much happening to create

0:31:17.920 --> 0:31:20.840
<v Speaker 1>culture every minute, but the same can be sort of

0:31:21.040 --> 0:31:24.280
<v Speaker 1>done for so many brands and so many categories, and

0:31:24.400 --> 0:31:27.360
<v Speaker 1>one by one we're proving that. So talk a little

0:31:27.360 --> 0:31:30.720
<v Speaker 1>bit about data as it relates to strategy, because so

0:31:30.800 --> 0:31:32.680
<v Speaker 1>much of what we've seen in the headlines in our

0:31:32.720 --> 0:31:35.480
<v Speaker 1>industry is thinking about your tech stack, your data stack

0:31:35.760 --> 0:31:38.600
<v Speaker 1>as being means to find an audience, right when I

0:31:38.600 --> 0:31:41.680
<v Speaker 1>think about the world of programmatic and addressable, But very

0:31:41.800 --> 0:31:45.600
<v Speaker 1>rarely in this industry are we privy to the conversation

0:31:45.960 --> 0:31:49.680
<v Speaker 1>of data science as it relates to creative optimization in

0:31:49.840 --> 0:31:53.280
<v Speaker 1>the work, not the delivery of it in the work.

0:31:53.640 --> 0:31:55.800
<v Speaker 1>So it's a it's a great question because I think

0:31:55.840 --> 0:31:58.320
<v Speaker 1>the thing that's so often missed on the kind of

0:31:59.640 --> 0:32:05.160
<v Speaker 1>Apple location of data to advertising is this reality that

0:32:05.800 --> 0:32:10.959
<v Speaker 1>bad advertising and badly targeted advertising is paid for by

0:32:10.960 --> 0:32:14.160
<v Speaker 1>the audience. Right, that's just a tax that you had

0:32:14.200 --> 0:32:17.840
<v Speaker 1>to pay when they showed like Ross's kids are, you know,

0:32:18.440 --> 0:32:21.240
<v Speaker 1>junior high school in high school, when somebody shows him

0:32:21.240 --> 0:32:25.200
<v Speaker 1>a Pamper's ad that he pays for, that it didn't

0:32:25.240 --> 0:32:28.760
<v Speaker 1>fund the content he was watching and they wasted his time.

0:32:29.040 --> 0:32:32.479
<v Speaker 1>And so not showing Ross that Pampers at his service, um,

0:32:33.120 --> 0:32:35.800
<v Speaker 1>showing Ross an ad for a product that I thinks

0:32:35.960 --> 0:32:39.080
<v Speaker 1>unless you tell me otherwise, Showing Ross an ad for

0:32:39.120 --> 0:32:41.880
<v Speaker 1>a product that he's genuinely interested in in a category

0:32:41.960 --> 0:32:44.560
<v Speaker 1>that he's exploring. I'm not talking about retargeting, but like

0:32:44.600 --> 0:32:49.000
<v Speaker 1>that's intuitively applicable to Ross's life. That is informative, that

0:32:49.120 --> 0:32:53.120
<v Speaker 1>is funny, that is joyful, that's that's not a tax

0:32:53.200 --> 0:32:56.040
<v Speaker 1>on Ross's attention, that's additive to the experience. And so

0:32:56.440 --> 0:32:59.560
<v Speaker 1>what we try and do is stay in that zone.

0:32:59.600 --> 0:33:02.360
<v Speaker 1>And like I sometimes I do get excited as like

0:33:02.400 --> 0:33:06.000
<v Speaker 1>a nerd about you know, all the things we can

0:33:06.080 --> 0:33:08.280
<v Speaker 1>learn from all of the signal that's coming out of

0:33:08.280 --> 0:33:12.160
<v Speaker 1>our lives. I also I want to be really measured

0:33:12.800 --> 0:33:16.960
<v Speaker 1>as a human being about the question of how would

0:33:16.960 --> 0:33:20.360
<v Speaker 1>I feel about that the application of that whether or

0:33:20.400 --> 0:33:23.840
<v Speaker 1>not it's legally obtained, whether or not it's gdp R compliant, Like,

0:33:24.040 --> 0:33:26.720
<v Speaker 1>how would I feel about the application of that data

0:33:26.760 --> 0:33:31.000
<v Speaker 1>point to what's happening in my media consumption experience right now?

0:33:31.520 --> 0:33:33.520
<v Speaker 1>I hear you. I think that's awesome. I think you

0:33:33.520 --> 0:33:36.560
<v Speaker 1>guys are setting up for a post cookie world, which

0:33:36.640 --> 0:33:40.520
<v Speaker 1>I don't actually think a lot of companies, at least

0:33:40.600 --> 0:33:43.920
<v Speaker 1>a lot of cmos are not thinking about yet. Unquestionably,

0:33:43.960 --> 0:33:46.480
<v Speaker 1>we actually just did a project in the publishers side

0:33:46.480 --> 0:33:49.360
<v Speaker 1>of our business for one of the largest publishers on

0:33:49.360 --> 0:33:51.320
<v Speaker 1>the planet that I want that I'm on name here.

0:33:51.880 --> 0:33:55.239
<v Speaker 1>That was Cookieless World. That was basically, how do you

0:33:55.320 --> 0:33:59.560
<v Speaker 1>build a smart and virtuous ad business um and how

0:33:59.560 --> 0:34:03.600
<v Speaker 1>do you part anticipate as a platform of scale in

0:34:03.600 --> 0:34:06.400
<v Speaker 1>a cookuous world. So the people on that side are

0:34:06.400 --> 0:34:08.600
<v Speaker 1>starting to think about it, But I agree that wave

0:34:08.680 --> 0:34:11.839
<v Speaker 1>hasn't really hit the cmos yet. They're like, they're gonna

0:34:11.840 --> 0:34:13.480
<v Speaker 1>get pulled into it, and I'm glad we're on the

0:34:13.480 --> 0:34:16.200
<v Speaker 1>forefront of it, but it's not sort of broadly out

0:34:16.239 --> 0:34:19.400
<v Speaker 1>there yet. So what is known want to be known for? Like,

0:34:19.440 --> 0:34:23.600
<v Speaker 1>what is the influence you want to have on this

0:34:23.680 --> 0:34:28.040
<v Speaker 1>industry short term? Long term? I'll tell you there are

0:34:28.040 --> 0:34:33.680
<v Speaker 1>two things. UM. So they're like there's the part of

0:34:33.719 --> 0:34:40.040
<v Speaker 1>me that's just excited about seeing the alchemy of you know,

0:34:40.280 --> 0:34:44.400
<v Speaker 1>ardent science in like a real partnership of equals UM

0:34:44.440 --> 0:34:49.480
<v Speaker 1>in doing this stuff and breaking down some of the

0:34:49.560 --> 0:34:53.440
<v Speaker 1>barriers in the way that people when professionals talk to

0:34:53.480 --> 0:34:55.400
<v Speaker 1>each other like it's a real thing and we shouldn't,

0:34:55.440 --> 0:34:57.520
<v Speaker 1>you know, Like people are bigger than those boxes of

0:34:57.600 --> 0:35:01.120
<v Speaker 1>data scientists and creative director and that's that's just an

0:35:01.160 --> 0:35:04.640
<v Speaker 1>amazing thing to watch and to watch happen in the

0:35:04.680 --> 0:35:07.239
<v Speaker 1>world of modern marketing as people get more fluent and

0:35:08.440 --> 0:35:12.040
<v Speaker 1>more dynamic in how they use this stuff. There's also

0:35:12.920 --> 0:35:20.680
<v Speaker 1>the competitive oppositional like grumpy business person in UM and

0:35:21.719 --> 0:35:28.400
<v Speaker 1>I get incredibly frustrated when I see structures in place

0:35:29.400 --> 0:35:33.799
<v Speaker 1>that are self serving and designed to impede the intellectual

0:35:33.920 --> 0:35:40.560
<v Speaker 1>metabolism of an environment like this. And I think unintentionally,

0:35:41.200 --> 0:35:45.640
<v Speaker 1>but over many, many decades, we've created a structure in

0:35:45.840 --> 0:35:54.400
<v Speaker 1>the traditional media planning and buying environment that deliberately holds

0:35:54.600 --> 0:35:59.440
<v Speaker 1>back the evolution of the industry and and the passion

0:36:00.120 --> 0:36:03.120
<v Speaker 1>that I had for like going all in, Like guess what, like,

0:36:03.239 --> 0:36:07.680
<v Speaker 1>you own a data science and analytics company in you

0:36:07.719 --> 0:36:09.920
<v Speaker 1>don't need like nobody said you should really merge with

0:36:09.960 --> 0:36:13.640
<v Speaker 1>a creative agency, right, Like That's like that's everybody wants

0:36:13.640 --> 0:36:15.880
<v Speaker 1>to be a data science and analytics company in for

0:36:15.920 --> 0:36:18.399
<v Speaker 1>all the wrong reasons. But that's that's like a good

0:36:18.440 --> 0:36:21.080
<v Speaker 1>place to be. And the thing that I think made

0:36:21.080 --> 0:36:24.279
<v Speaker 1>me and all the other partners in that company want

0:36:24.280 --> 0:36:27.200
<v Speaker 1>to go all in on this was having the deep

0:36:27.200 --> 0:36:30.239
<v Speaker 1>experience we had on the publisher side seeing all the

0:36:30.280 --> 0:36:34.239
<v Speaker 1>amazing investments publishers and platforms are making to expose their

0:36:34.280 --> 0:36:37.799
<v Speaker 1>inventory and novel ways, and then also on the on

0:36:37.840 --> 0:36:42.080
<v Speaker 1>the client side seeing next generation marketers like Ross talked

0:36:42.080 --> 0:36:46.840
<v Speaker 1>about making massive strides to do things differently and in

0:36:46.880 --> 0:36:49.480
<v Speaker 1>a smarter way, in a more efficient way, and then

0:36:49.480 --> 0:36:54.000
<v Speaker 1>watching this thing just get stuck because the economic models

0:36:54.920 --> 0:36:59.680
<v Speaker 1>for how these transactions get handled and processed are broken.

0:37:00.120 --> 0:37:03.319
<v Speaker 1>Look like when I was working at Viacom with an

0:37:03.360 --> 0:37:06.680
<v Speaker 1>incredible group of people who are trying to do things

0:37:06.719 --> 0:37:10.520
<v Speaker 1>a different way and trying to bring media out into

0:37:10.520 --> 0:37:14.799
<v Speaker 1>the marketplace in a different way. And and the whole problem, though,

0:37:14.960 --> 0:37:17.880
<v Speaker 1>is if they go transparent, If the platforms and publishers

0:37:17.880 --> 0:37:22.719
<v Speaker 1>are transparent and advanced and integrated, and they expose their

0:37:22.760 --> 0:37:27.200
<v Speaker 1>inventory brank banks with real time discoverable pricing, which even

0:37:27.320 --> 0:37:32.440
<v Speaker 1>TV companies do now for television, and you've got data savvy,

0:37:32.560 --> 0:37:35.239
<v Speaker 1>aggressive marketers on the other side, like, how do I

0:37:35.320 --> 0:37:38.440
<v Speaker 1>make money as a media buying platform? Like I'll tell

0:37:38.440 --> 0:37:40.560
<v Speaker 1>you how we make money. We say, oh, that's cool,

0:37:40.560 --> 0:37:43.279
<v Speaker 1>Like we have incredible data scientists. We're happy to have

0:37:43.360 --> 0:37:47.120
<v Speaker 1>them support your team, work with our creative folks. Optimize

0:37:47.160 --> 0:37:51.400
<v Speaker 1>the ship out of this not by not by telling

0:37:51.440 --> 0:37:53.640
<v Speaker 1>you you can't buy it on your own, not by

0:37:53.680 --> 0:37:57.160
<v Speaker 1>telling the upfront scary. The upfront is so scary you

0:37:57.200 --> 0:38:01.399
<v Speaker 1>can't go in there. We have to value and so

0:38:01.560 --> 0:38:06.239
<v Speaker 1>like that passion for adding actual, real hard value to

0:38:06.360 --> 0:38:10.279
<v Speaker 1>this ecosystem made us realize that, like, you have to

0:38:10.280 --> 0:38:12.279
<v Speaker 1>have all these things together, You've got to really do

0:38:12.320 --> 0:38:14.759
<v Speaker 1>it right and and it's all or an nothing. We

0:38:14.840 --> 0:38:17.239
<v Speaker 1>need to be the place where the best people on

0:38:17.280 --> 0:38:20.280
<v Speaker 1>the planet come to do the best work of their lives.

0:38:20.920 --> 0:38:23.719
<v Speaker 1>How are you training talent? How are you training future marketers?

0:38:24.760 --> 0:38:26.719
<v Speaker 1>That's hard. In fact, I think it's one of our

0:38:26.719 --> 0:38:29.560
<v Speaker 1>greatest challenges because it's really difficult for us to recruit

0:38:29.600 --> 0:38:32.120
<v Speaker 1>as you can imagine the kind of talent that's required

0:38:32.120 --> 0:38:34.799
<v Speaker 1>as at this level from other agencies. We do a

0:38:34.840 --> 0:38:38.560
<v Speaker 1>lot of recruiting out of the top colleges and universities

0:38:38.680 --> 0:38:42.920
<v Speaker 1>and you know post doc programs in the world. Um.

0:38:43.040 --> 0:38:45.279
<v Speaker 1>Many of the people who come and work and known

0:38:46.280 --> 0:38:48.920
<v Speaker 1>just aren't from this industry, and the perspective and the

0:38:48.960 --> 0:38:53.720
<v Speaker 1>brilliance that they bring is what's sort of rejuvenating everything. UM.

0:38:53.760 --> 0:38:57.120
<v Speaker 1>And then you know, world class creative talent and strategic

0:38:57.160 --> 0:39:02.759
<v Speaker 1>talent like hard to find and incredibly in demand. UM.

0:39:02.800 --> 0:39:05.600
<v Speaker 1>But but we we've been lucky so far in that

0:39:05.640 --> 0:39:07.719
<v Speaker 1>we've built a culture that people want to be part of.

0:39:08.040 --> 0:39:10.600
<v Speaker 1>So if you think about every new person that joins

0:39:11.560 --> 0:39:13.800
<v Speaker 1>our company, they're sort of recoding the d N a

0:39:13.840 --> 0:39:16.799
<v Speaker 1>person by person that's Adam by Adam right, and they're

0:39:16.840 --> 0:39:21.160
<v Speaker 1>adding us their own apps to this operating system and

0:39:21.200 --> 0:39:23.680
<v Speaker 1>they're making it better. And that's sort of happening now

0:39:23.719 --> 0:39:25.719
<v Speaker 1>at a pace that I don't know that we could

0:39:25.760 --> 0:39:30.040
<v Speaker 1>have imagined a year ago, especially given you know, how

0:39:30.320 --> 0:39:32.359
<v Speaker 1>is gone. But We've been very fortunate, and I think

0:39:32.360 --> 0:39:34.680
<v Speaker 1>now the most important thing is healthy growth. What do

0:39:34.760 --> 0:39:37.759
<v Speaker 1>you both think it takes to break through going into

0:39:39.360 --> 0:39:42.520
<v Speaker 1>I think Ross and I and and Mark and Brad

0:39:42.320 --> 0:39:46.080
<v Speaker 1>and all the you know, creatives and scientists at talk

0:39:46.160 --> 0:39:48.600
<v Speaker 1>about this a lot, and we talk about it in

0:39:48.600 --> 0:39:52.399
<v Speaker 1>the context of some of our values right around sort

0:39:52.440 --> 0:39:57.200
<v Speaker 1>of authenticity, UM and honesty. There's no doubt and we

0:39:57.200 --> 0:40:01.040
<v Speaker 1>we recently you know, you talked about we feel like

0:40:01.239 --> 0:40:05.120
<v Speaker 1>I felt like there was a real UM has been

0:40:05.120 --> 0:40:08.640
<v Speaker 1>a real hard reset in the culture and and there

0:40:08.640 --> 0:40:11.640
<v Speaker 1>are a lot like a lot of things have changed,

0:40:11.760 --> 0:40:15.520
<v Speaker 1>need to change, will change UM coming out of this experience,

0:40:15.520 --> 0:40:17.640
<v Speaker 1>and I'm an optimist about where it all ends. But

0:40:17.680 --> 0:40:21.000
<v Speaker 1>we also felt like we needed to reset and put

0:40:21.000 --> 0:40:23.520
<v Speaker 1>our finger back on the pulse of what was happening

0:40:23.520 --> 0:40:27.040
<v Speaker 1>in the world. So we ran this huge self funded

0:40:27.040 --> 0:40:30.960
<v Speaker 1>study of the human condition in UM that we just recently.

0:40:31.120 --> 0:40:34.120
<v Speaker 1>What did it say? It said that in a in

0:40:34.160 --> 0:40:39.200
<v Speaker 1>a sort of a universal experience and phenomenon, it's hitting

0:40:39.200 --> 0:40:45.279
<v Speaker 1>different people very differently. UM and UH. The kinds of

0:40:45.680 --> 0:40:50.120
<v Speaker 1>things that are UH, that are allowing some people to

0:40:50.760 --> 0:40:53.960
<v Speaker 1>survive and thrive are not the things you think, it's

0:40:54.000 --> 0:40:58.920
<v Speaker 1>not your economics standing. Um, it's not even necessarily your

0:40:58.960 --> 0:41:05.759
<v Speaker 1>career um or your position. Um. It looked to us

0:41:05.800 --> 0:41:08.920
<v Speaker 1>through this sort of qualitative and quantitative segmentation that it

0:41:08.960 --> 0:41:12.880
<v Speaker 1>had to do with your relationships, your strong ties, your

0:41:12.880 --> 0:41:16.160
<v Speaker 1>relationships with people in your life, your sense of purpose,

0:41:17.160 --> 0:41:20.520
<v Speaker 1>and your sense of place and connection to your community.

0:41:21.600 --> 0:41:24.640
<v Speaker 1>And that all makes sense, right when you break it

0:41:24.640 --> 0:41:26.240
<v Speaker 1>out like that, that that all makes sense. But it wasn't

0:41:26.239 --> 0:41:28.160
<v Speaker 1>necessarily how we were lensing, and it wasn't how our

0:41:28.200 --> 0:41:31.279
<v Speaker 1>clients we're seeing it. It wasn't about the tropes of

0:41:31.400 --> 0:41:34.920
<v Speaker 1>in extraordinary times, right, And there's a lot of deeper

0:41:35.040 --> 0:41:37.560
<v Speaker 1>data there too, But but those things all struck us

0:41:37.600 --> 0:41:44.640
<v Speaker 1>as like foundational human authentic building blocks of who you

0:41:44.680 --> 0:41:47.960
<v Speaker 1>are and why you are and so first and foremost

0:41:48.120 --> 0:41:51.439
<v Speaker 1>who we're trying to ask ourselves those questions for any

0:41:51.480 --> 0:41:53.840
<v Speaker 1>creative it's like, does this is this real? Does this

0:41:53.880 --> 0:41:56.960
<v Speaker 1>speak to anyone? I think you know you always want

0:41:56.960 --> 0:41:58.239
<v Speaker 1>to do that in the process, but I think it's

0:41:58.239 --> 0:42:00.880
<v Speaker 1>like it's twice as important right now to get back

0:42:00.920 --> 0:42:03.600
<v Speaker 1>to for any given brand, like what is your purpose?

0:42:04.000 --> 0:42:07.880
<v Speaker 1>What is your place in the lives of your audience,

0:42:07.920 --> 0:42:11.600
<v Speaker 1>your consumers, your constituency um and how do you want

0:42:11.640 --> 0:42:15.200
<v Speaker 1>to talk to those people. Alexa hit this home in

0:42:15.200 --> 0:42:20.160
<v Speaker 1>our Malcolm Gladwell episode and referencing David versus Goliath scenario

0:42:20.239 --> 0:42:24.640
<v Speaker 1>of not losing sight of those relationships with our consumer

0:42:25.040 --> 0:42:27.600
<v Speaker 1>and what matters to them. And I'm gonna throw this

0:42:27.760 --> 0:42:32.280
<v Speaker 1>back to your partner, Ross, because I've had the really

0:42:32.640 --> 0:42:35.400
<v Speaker 1>great honor of getting to know Ross a few years

0:42:35.400 --> 0:42:39.239
<v Speaker 1>ago and talking to him and understanding when he was

0:42:39.280 --> 0:42:42.880
<v Speaker 1>building Blackbird that and Ross, you correct me if I'm wrong,

0:42:43.840 --> 0:42:48.600
<v Speaker 1>but you were always in the pursuit of truth, and

0:42:49.000 --> 0:42:52.640
<v Speaker 1>as a marketer, I think maybe that's the that's the

0:42:52.680 --> 0:42:55.600
<v Speaker 1>whole point. You bring up a great point, and it's

0:42:55.640 --> 0:42:57.360
<v Speaker 1>it's sort of an extension of what Kerment was just

0:42:57.400 --> 0:43:00.279
<v Speaker 1>saying that, like that that is sort of the the

0:43:00.400 --> 0:43:04.120
<v Speaker 1>dark side of what we're learning about ourselves as a society,

0:43:04.280 --> 0:43:07.560
<v Speaker 1>especially here in America, is that like, there is no

0:43:09.360 --> 0:43:15.680
<v Speaker 1>Laura and Alexa. Right, there's Laura and there's Alexa, and

0:43:15.760 --> 0:43:18.360
<v Speaker 1>you happen to do this show together, but the truth

0:43:18.480 --> 0:43:21.200
<v Speaker 1>is so different, or maybe just a little different, but

0:43:21.239 --> 0:43:23.520
<v Speaker 1>it's different for each of you. And so if I

0:43:23.560 --> 0:43:27.120
<v Speaker 1>want to reach your heart and make a connection. If

0:43:27.160 --> 0:43:29.680
<v Speaker 1>I want to change what you think, if I want

0:43:29.719 --> 0:43:32.000
<v Speaker 1>to get you to turn right when you're normally going

0:43:32.040 --> 0:43:35.160
<v Speaker 1>to turn left, I actually have to find the central

0:43:35.239 --> 0:43:39.400
<v Speaker 1>human truth of you. And I can't rely, as I

0:43:39.440 --> 0:43:43.960
<v Speaker 1>did before, on my own bias on shallow punditry, on

0:43:44.160 --> 0:43:47.080
<v Speaker 1>assumptions about who you are. Because you're two white women

0:43:47.120 --> 0:43:48.960
<v Speaker 1>of a certain age who live in the East Coasts,

0:43:49.640 --> 0:43:52.200
<v Speaker 1>and that's what we used to do. We actually did

0:43:52.239 --> 0:43:57.440
<v Speaker 1>that for decades. We cannot afford to waste the marketing

0:43:57.480 --> 0:44:01.120
<v Speaker 1>dollars on that kind of carelessness and waste the time

0:44:01.120 --> 0:44:03.440
<v Speaker 1>and attention of that audience, of that audience, when the

0:44:03.480 --> 0:44:07.360
<v Speaker 1>tools are all available to us. They are now at

0:44:07.440 --> 0:44:11.080
<v Speaker 1>our finger trips. There is no more excuse for not

0:44:11.360 --> 0:44:20.719
<v Speaker 1>knowing that. I think we mic drop that. So we'll

0:44:20.719 --> 0:44:22.720
<v Speaker 1>start with current. Because Karrent has never played the game.

0:44:23.160 --> 0:44:26.080
<v Speaker 1>Kerrent killed by d I Y. I think you've heard

0:44:26.080 --> 0:44:27.480
<v Speaker 1>it from me a few times, Like I would get

0:44:27.560 --> 0:44:33.040
<v Speaker 1>rid of anybody out there who has gotten themselves boxed

0:44:33.080 --> 0:44:36.719
<v Speaker 1>into a corner where they're where they're fighting against progress

0:44:37.120 --> 0:44:40.960
<v Speaker 1>in this industry, where they're pushing back on efficiency and

0:44:41.040 --> 0:44:46.000
<v Speaker 1>opportunity in in progress UM and that that's not that's

0:44:46.000 --> 0:44:48.520
<v Speaker 1>not one company, and that's not one category. But like

0:44:49.040 --> 0:44:51.799
<v Speaker 1>in any category, there's a bunch of UM. So let's

0:44:51.800 --> 0:44:53.640
<v Speaker 1>get rid of them because like that, we don't have

0:44:53.719 --> 0:44:57.359
<v Speaker 1>time and and and the clients deserve better. I'll tell

0:44:57.400 --> 0:45:00.799
<v Speaker 1>you what I think we've talked about. We feel like

0:45:00.960 --> 0:45:04.520
<v Speaker 1>we can and should buy doesn't sound like the right word,

0:45:04.560 --> 0:45:06.560
<v Speaker 1>but but but who we want to go find and

0:45:06.640 --> 0:45:11.360
<v Speaker 1>partner with and bring in. We think that there's outside

0:45:11.360 --> 0:45:16.279
<v Speaker 1>of the US, there's a bunch of tremendous creative assets,

0:45:16.360 --> 0:45:21.280
<v Speaker 1>creative companies out there who are doing beautiful, amazing work

0:45:21.960 --> 0:45:25.239
<v Speaker 1>in each of their regions and countries, and who are

0:45:25.280 --> 0:45:29.239
<v Speaker 1>also increasingly trying to scratch the data action Like who

0:45:29.400 --> 0:45:34.000
<v Speaker 1>could be incredible additions to our team, incredible extensions of

0:45:34.000 --> 0:45:37.160
<v Speaker 1>our DNA as Ross said UM as we serve more

0:45:37.160 --> 0:45:41.280
<v Speaker 1>and more global clients, right, so getting into local markets

0:45:41.440 --> 0:45:45.600
<v Speaker 1>with best in class creative for those markets I think

0:45:45.640 --> 0:45:48.120
<v Speaker 1>makes sense for us. And what I want to keep

0:45:48.200 --> 0:45:53.240
<v Speaker 1>d I y NG is the process and the culture

0:45:53.719 --> 0:45:57.799
<v Speaker 1>that connects this thing together. And you know, we talk

0:45:57.880 --> 0:45:59.560
<v Speaker 1>a lot about the operating system of our clients, but

0:45:59.600 --> 0:46:02.360
<v Speaker 1>also they an operating system and a belief system for ourselves.

0:46:03.280 --> 0:46:06.640
<v Speaker 1>And that's the thing we need to never stop building it.

0:46:07.000 --> 0:46:11.120
<v Speaker 1>Ross killed by d I y I'm gonna kill hate.

0:46:13.400 --> 0:46:19.480
<v Speaker 1>I'm gonna buy time. I'm gonna build empathy, Ross Kern,

0:46:19.680 --> 0:46:22.040
<v Speaker 1>known dot is. If people want to get in touch

0:46:22.120 --> 0:46:26.480
<v Speaker 1>with you to remix data, science and creativity, how do

0:46:26.560 --> 0:46:29.359
<v Speaker 1>they get in touch with you? Hello at known dot

0:46:29.480 --> 0:46:33.760
<v Speaker 1>is and we will say hello back, Ross Kern. Poets

0:46:33.920 --> 0:46:37.280
<v Speaker 1>of progress? Did you know that I have been for

0:46:37.280 --> 0:46:40.400
<v Speaker 1>for years since I first met Ross, I've been calling

0:46:40.480 --> 0:46:44.000
<v Speaker 1>him a business poet. Here is a business poet. I mean, Ross,

0:46:44.040 --> 0:46:46.440
<v Speaker 1>come on, give us something, Ross, just something to close

0:46:46.480 --> 0:46:49.160
<v Speaker 1>the episode with something from your book. Let's put it

0:46:49.200 --> 0:46:51.759
<v Speaker 1>a little plug here. Ross is a published poet. The

0:46:51.840 --> 0:46:55.880
<v Speaker 1>cop who rides alone, Ross Martin. It started to thunder.

0:46:55.960 --> 0:46:58.600
<v Speaker 1>I began to wonder why do we mow our lawns?

0:46:59.160 --> 0:47:01.160
<v Speaker 1>Then it hit me. The nice lines are pretty when

0:47:01.160 --> 0:47:04.120
<v Speaker 1>they wake up freshly cut it dawn. Maybe they want

0:47:04.120 --> 0:47:06.640
<v Speaker 1>to keep growing, but man's too ignorant to stop mowing,

0:47:06.680 --> 0:47:09.839
<v Speaker 1>So lawns are cut each day because man doesn't care

0:47:09.880 --> 0:47:13.000
<v Speaker 1>about cutting nature's hair, even if nature doesn't want it

0:47:13.040 --> 0:47:15.200
<v Speaker 1>that way. I love it Did you write that when

0:47:15.200 --> 0:47:17.319
<v Speaker 1>you were fifteen? Yeah? Did I do that in the

0:47:17.360 --> 0:47:21.919
<v Speaker 1>last episode? No, but I remember you talking and he's

0:47:21.920 --> 0:47:24.120
<v Speaker 1>always triing that out. I only got one poem and

0:47:24.200 --> 0:47:32.520
<v Speaker 1>I was fifteen. Can and order, Yes, this opportunity less

0:47:32.560 --> 0:47:35.040
<v Speaker 1>opportunity Our data side just five out of six. Data

0:47:35.080 --> 0:47:37.600
<v Speaker 1>Side just will tell you that that is the best title.

0:47:39.520 --> 0:47:45.160
<v Speaker 1>Can we just say congratulations on this season and this

0:47:45.239 --> 0:47:47.799
<v Speaker 1>is the podcast. So we're just so grateful to be

0:47:47.840 --> 0:47:50.279
<v Speaker 1>part of you your world here on a small part,

0:47:50.320 --> 0:47:52.279
<v Speaker 1>but thank you so much. You will be coming back.

0:47:52.400 --> 0:48:02.399
<v Speaker 1>Thank you guys, to Laura coming out of this conversation.

0:48:03.000 --> 0:48:07.960
<v Speaker 1>The things that shine through for me one, we as

0:48:08.160 --> 0:48:12.400
<v Speaker 1>marketers and especially cmos, tend to continue to look at

0:48:12.480 --> 0:48:16.680
<v Speaker 1>the vanity as you call them, vanity metrics. Right, So,

0:48:16.840 --> 0:48:19.920
<v Speaker 1>what's happening on your website, what's happening in your purchase funnel,

0:48:19.960 --> 0:48:23.080
<v Speaker 1>what's happening da da da da. But those are surface metrics,

0:48:24.239 --> 0:48:29.719
<v Speaker 1>that's surface data and analytics, rather than having creatives and

0:48:29.840 --> 0:48:35.960
<v Speaker 1>data scientists briefed together, starting together and going to find

0:48:36.000 --> 0:48:40.160
<v Speaker 1>out what could be known. It's interesting in how Ross

0:48:40.160 --> 0:48:44.160
<v Speaker 1>and currenter positioning their value prop right, and that it's

0:48:44.239 --> 0:48:46.839
<v Speaker 1>less so about um one or the other, but how

0:48:46.880 --> 0:48:50.759
<v Speaker 1>these two things work together, the ability to understand patterns

0:48:51.560 --> 0:48:55.080
<v Speaker 1>using data and breakdown at the individual levels. What I

0:48:55.080 --> 0:48:59.840
<v Speaker 1>took away down to the individual level what creative serves

0:49:00.000 --> 0:49:04.280
<v Speaker 1>Alexa versus what creative serves Laura and I think marrying

0:49:04.360 --> 0:49:06.160
<v Speaker 1>that you know this idea of we think so much

0:49:06.160 --> 0:49:09.520
<v Speaker 1>in the creative spaces art director meets copywriter, but is

0:49:09.560 --> 0:49:14.480
<v Speaker 1>the new critical pairing data scientists and creative director. Yeah,

0:49:14.520 --> 0:49:18.919
<v Speaker 1>I love that. And when you think about designing, designing

0:49:19.200 --> 0:49:27.080
<v Speaker 1>both product designing, designing both products and campaign or message

0:49:27.520 --> 0:49:33.000
<v Speaker 1>right against triggers that are about the needs that are

0:49:33.040 --> 0:49:37.080
<v Speaker 1>filling the needs and understanding the triggers of the consumer first,

0:49:37.320 --> 0:49:40.680
<v Speaker 1>designing that upfront that should be your brief with a

0:49:40.760 --> 0:49:46.160
<v Speaker 1>bunch of hypotheses, a bunch of opportunities right to test.

0:49:46.200 --> 0:49:49.560
<v Speaker 1>And too often I think, you know and Ross kind

0:49:49.560 --> 0:49:51.239
<v Speaker 1>of hit on this too often. I think we talk

0:49:51.280 --> 0:49:55.360
<v Speaker 1>about campaigns and there that that alone is something that

0:49:55.640 --> 0:49:59.160
<v Speaker 1>starts and ends. And what Ross and Kurn were saying

0:49:59.280 --> 0:50:03.520
<v Speaker 1>is that this just keeps going, This just keeps learning.

0:50:03.880 --> 0:50:05.879
<v Speaker 1>And in order to do that, you have to get

0:50:05.880 --> 0:50:08.480
<v Speaker 1>out in the market. You have to actually have a

0:50:08.520 --> 0:50:12.120
<v Speaker 1>hook to start reeling in. If you don't have that

0:50:12.200 --> 0:50:15.399
<v Speaker 1>hook out there and you're not testing multiple iterations, I'm

0:50:15.400 --> 0:50:18.600
<v Speaker 1>not just talking about messaging and creative, I'm talking about ideas.

0:50:19.360 --> 0:50:23.839
<v Speaker 1>I'm talking about products. And so is the question that

0:50:24.040 --> 0:50:26.360
<v Speaker 1>the CMO becomes more of a growth marketer or is

0:50:26.400 --> 0:50:29.840
<v Speaker 1>the question that the CMO becomes more of a product person.

0:50:30.880 --> 0:50:33.640
<v Speaker 1>Is that where we're headed. Yeah, it's interesting when you

0:50:33.640 --> 0:50:37.640
<v Speaker 1>think about the word programmatic. So much of the emphasis

0:50:37.960 --> 0:50:41.360
<v Speaker 1>has been on the automatic part of that word. But

0:50:41.520 --> 0:50:46.120
<v Speaker 1>really what I heard is using data science to really unpack,

0:50:46.400 --> 0:50:50.319
<v Speaker 1>unbundle the journey, really think about the message that's going

0:50:50.360 --> 0:50:55.040
<v Speaker 1>to resonate in that journey, and really thinking about programming

0:50:55.360 --> 0:51:01.120
<v Speaker 1>the automation versus automating the programming all of that, you know.

0:51:01.160 --> 0:51:03.479
<v Speaker 1>And on that note, one of the things that Kern said,

0:51:03.520 --> 0:51:05.440
<v Speaker 1>and he kind of said it quietly, right, it was

0:51:05.480 --> 0:51:09.840
<v Speaker 1>like a point was about sequencing. We don't actually think

0:51:09.880 --> 0:51:16.240
<v Speaker 1>about sequencing enough. This is about design up front. Designing

0:51:16.440 --> 0:51:19.520
<v Speaker 1>up front the path you're going to take someone, and

0:51:19.560 --> 0:51:23.280
<v Speaker 1>it has multiple iterations, and it has multiple turning points.

0:51:23.719 --> 0:51:26.680
<v Speaker 1>They could take someone down depending on their behavior, depending

0:51:26.719 --> 0:51:30.400
<v Speaker 1>on where they are in their interesting consideration, and I

0:51:30.440 --> 0:51:37.000
<v Speaker 1>think that you know, the industry is separated the tools, right,

0:51:37.200 --> 0:51:40.440
<v Speaker 1>the data science and the analytics and the metrics and

0:51:40.760 --> 0:51:43.759
<v Speaker 1>point KPIs and those types of things with good creative

0:51:44.040 --> 0:51:47.279
<v Speaker 1>but those things, as Ross and Kern said, they go

0:51:47.360 --> 0:51:49.520
<v Speaker 1>hand in hand. Well yeah, I mean so much of

0:51:49.680 --> 0:51:53.280
<v Speaker 1>what I've experienced throughout my career is the creative leading

0:51:54.360 --> 0:52:00.520
<v Speaker 1>that messaging and then using the data science to target

0:52:00.560 --> 0:52:03.840
<v Speaker 1>audiences right, to go out and find the audience to

0:52:03.920 --> 0:52:06.680
<v Speaker 1>deliver that message. But by pairing those two things together

0:52:06.760 --> 0:52:10.320
<v Speaker 1>from the onset, you start thinking less like a planner

0:52:10.360 --> 0:52:15.080
<v Speaker 1>and more like a programmer designing the journey versus planning it.

0:52:15.440 --> 0:52:17.200
<v Speaker 1>Kern really got to that when he was talking about

0:52:17.600 --> 0:52:22.960
<v Speaker 1>bad advertising is like attacks on the consumer. They thought

0:52:22.960 --> 0:52:25.319
<v Speaker 1>that was a fascinating That was a great way of

0:52:25.360 --> 0:52:27.359
<v Speaker 1>saying it. It was a great way of saying it.

0:52:27.840 --> 0:52:30.280
<v Speaker 1>And I think, so it's less of people been paying

0:52:30.320 --> 0:52:32.440
<v Speaker 1>with their time. People are paying with their time, And

0:52:32.480 --> 0:52:35.319
<v Speaker 1>I think it's less about what you want to sell

0:52:35.440 --> 0:52:41.239
<v Speaker 1>someone and more about how are you reaching someone and

0:52:41.320 --> 0:52:45.440
<v Speaker 1>making sure that there's value and what you are selling them.

0:52:45.480 --> 0:52:48.000
<v Speaker 1>There's like this this thing going off in my brain,

0:52:48.120 --> 0:52:50.719
<v Speaker 1>going wait a minute. If you look at a standard

0:52:50.760 --> 0:52:54.600
<v Speaker 1>reporting dashboard in media, one of the metrics you will

0:52:54.640 --> 0:52:58.160
<v Speaker 1>often find is time spent. But we don't measure the

0:52:58.239 --> 0:53:01.920
<v Speaker 1>sentiment of the time in so I may capture somebody's

0:53:01.960 --> 0:53:06.520
<v Speaker 1>attention for thirty sixty seconds, but was that a good experience?

0:53:07.000 --> 0:53:11.480
<v Speaker 1>What was that time well spent? Right? So central question,

0:53:12.000 --> 0:53:14.759
<v Speaker 1>what do you want to be known for? That is

0:53:14.800 --> 0:53:18.120
<v Speaker 1>the question? And speaking of questions, Alexa, We're going to

0:53:18.200 --> 0:53:22.120
<v Speaker 1>be introducing a new segment on Atlantia called The Burning

0:53:22.200 --> 0:53:25.960
<v Speaker 1>Question with Kindred CEO Ian Schaefer so Atlanta. Each week

0:53:26.000 --> 0:53:27.920
<v Speaker 1>we're gonna be teaming up with Kindred to pose a

0:53:27.920 --> 0:53:31.320
<v Speaker 1>provocative question to our listeners that explores how popular culture

0:53:31.400 --> 0:53:34.920
<v Speaker 1>movements affect brand decisions. And we're gonna be asking those

0:53:35.040 --> 0:53:37.680
<v Speaker 1>questions on Twitter and then some of the responses from

0:53:37.719 --> 0:53:40.640
<v Speaker 1>the Atlantia community will be read on air and discussed

0:53:40.680 --> 0:53:43.279
<v Speaker 1>in the podcast in addition to having I and share

0:53:43.320 --> 0:53:47.759
<v Speaker 1>his perspective. So week one question has the fear of

0:53:47.880 --> 0:53:51.120
<v Speaker 1>cancel culture lad brands and the people behind them to

0:53:51.280 --> 0:53:56.000
<v Speaker 1>develop faux food. Fear of fffing up is the appeal

0:53:56.080 --> 0:54:01.040
<v Speaker 1>to everyone, the new appeal to no one. This popular culture,

0:54:01.160 --> 0:54:06.080
<v Speaker 1>Eat Corporate Culture for breakfast, tweet at Atlantia Podcasts and

0:54:06.320 --> 0:54:10.359
<v Speaker 1>see c I Shaefer Ian Shaeffer to get into the conversation,

0:54:10.840 --> 0:54:13.560
<v Speaker 1>and we may have you on one of our next

0:54:13.560 --> 0:54:17.040
<v Speaker 1>episodes to discuss Laura hit it with the list of

0:54:17.080 --> 0:54:18.799
<v Speaker 1>all of our friends and family at I Heart who

0:54:18.800 --> 0:54:21.080
<v Speaker 1>have been so good to us and helped us get

0:54:21.080 --> 0:54:24.840
<v Speaker 1>back on air. Big thank you to Bob Connal, Carter, Andy,

0:54:25.160 --> 0:54:28.600
<v Speaker 1>Eric Gayle Val, Michael Jen. We appreciate you. Thank you

0:54:28.640 --> 0:54:31.480
<v Speaker 1>so much for this opportunity. We'll see you in two weeks.