WEBVTT

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<v Speaker 1>Welcome to pot Save America. I'm Dan Piferan. Today I'm

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<v Speaker 1>joined by Danielle Butterfield, the executive director of Priorities USA,

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<v Speaker 1>one of the largest and most important super PACs and

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<v Speaker 1>democratic politics. Priority USA does a lot of essential digital

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<v Speaker 1>work in the party, building infrastructure, investing in research and data,

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<v Speaker 1>and running ads to reach the voters campaigns often struggle

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<v Speaker 1>to reach. They're in the midst of a massive study

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<v Speaker 1>about how less engaged voters are getting their information on TikTok, YouTube, Instagram,

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<v Speaker 1>and even Ai chatbots, the platforms that will decide the

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<v Speaker 1>twenty twenty eight election, whether we like it or not.

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<v Speaker 1>Priorities has already started a thirty million dollar campaign to

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<v Speaker 1>define the twenty twenty eight Republicans like Jennie Vance and

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<v Speaker 1>Marco Rubio, and I invited Danielle on the podcast to

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<v Speaker 1>unpack that research and talk about what they've learned. We

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<v Speaker 1>dove into their findings, talked about how the media environment

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<v Speaker 1>has changed since the twenty twenty four election, and broke

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<v Speaker 1>down some of the ads they're already running. It was

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<v Speaker 1>a great conversation and we'll get to it in a minute,

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<v Speaker 1>but before we do, please consider becoming a pain. Subscriber

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<v Speaker 1>to Friends of the Pod. Subscribers get access to the

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<v Speaker 1>single best show produced Acrocmedia, Pollar Coaster with Me, Dan Pfeiffer.

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<v Speaker 1>I was forced to say that by producers, but I

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<v Speaker 1>really do you like the show? And I think you

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<v Speaker 1>like it too. This week on Pollar Coaster, we discussed

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<v Speaker 1>Angie Nixon's upset winn in Florida, new pulling in the

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<v Speaker 1>Michigan Center race, and a strange fake pulling scandal on

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<v Speaker 1>the Ala mayor race. And while I have you out

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<v Speaker 1>there subscribing to truly great content, check out my substack

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<v Speaker 1>message box very breakdown what is happening in politics. You

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<v Speaker 1>can find it all at cricketd dot com slash yes

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<v Speaker 1>We Dan, or subscribe to Friends of the Pod at

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<v Speaker 1>Crooked dot com slash friends. All right, here's my conversation

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<v Speaker 1>with Daniel Butterfield. Daniel Butterfield, welcome to Pod Save America.

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<v Speaker 2>Thanks for having me.

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<v Speaker 1>All right, so excited to talk to you. Thanks for

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<v Speaker 1>doing this. Priorities has been working on a whole bunch

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<v Speaker 1>of things are really interesting to me. I want to

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<v Speaker 1>talk to you about the study you've done on less

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<v Speaker 1>politically engage voters I want to talk to you about

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<v Speaker 1>how you're thinking about ADS, and I really want to

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<v Speaker 1>talk to you about why you are already spending money

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<v Speaker 1>to try to win the twenty twenty eight election in

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<v Speaker 1>the middle of the twenty twenty sixth election. We're going

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<v Speaker 1>to do all of that. I'm going a level set

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<v Speaker 1>on a couple things. First, For people who've been around

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<v Speaker 1>politics as long as I have, they remember Priority to

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<v Speaker 1>the USA as sort of the Democratic superPAC spending tens

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<v Speaker 1>of millions of dollars to elect Barack Obama, Hillary Clinton

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<v Speaker 1>spending money for Joe Biden. That's not what Priorities USA

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<v Speaker 1>is now. So maybe talk a little bit about who

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<v Speaker 1>you are and what you guys are doing so our

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<v Speaker 1>audience understands.

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<v Speaker 2>Yeah.

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<v Speaker 3>So I joined the Priority's USA team back in twenty seventeen,

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<v Speaker 3>fresh off the Hillary Clinton campaign. Priorities, you know, up

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<v Speaker 3>until that point, had been operating to you, like you said,

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<v Speaker 3>as a presidential superpack. But in the aftermath of twenty sixteen,

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<v Speaker 3>one of the most urgent, kind of quickest realizations that

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<v Speaker 3>folks had about why we lost was just how little

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<v Speaker 3>Democrats had invested on digital compared to television. And so

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<v Speaker 3>the Prioriti's team got some funding to kind of stay

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<v Speaker 3>open beyond the presidential and really investigate why that is.

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<v Speaker 3>So that's when I joined the team. I became our

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<v Speaker 3>digital director alongside a bunch of other really smart people,

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<v Speaker 3>and we kind of made it our mission to really

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<v Speaker 3>diagnose and understand why the Democratic Party is so severely

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<v Speaker 3>underinvest in digital, but then also like to actually close

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<v Speaker 3>the gap to right to raise a bunch of money

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<v Speaker 3>to spend on digital. And so flash forward to where

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<v Speaker 3>we are today. I like to say that we are

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<v Speaker 3>anchored as a as a presidential organization, but we really

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<v Speaker 3>have gotten to a point where we're using the midterm

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<v Speaker 3>elections and special elections to really prepare and get better

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<v Speaker 3>and innovate and try new things so that by the

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<v Speaker 3>time the next presidential election rules around were like that

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<v Speaker 3>much more ready for it.

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<v Speaker 2>So that's how I would think about us today.

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<v Speaker 1>I know the presidential election seemed like a million years

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<v Speaker 1>away for a lot of people, but as I like

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<v Speaker 1>to point out that, if we follow the previous schedule,

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<v Speaker 1>one exactly one year from now, be Democrats and Republicans

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<v Speaker 1>on stage in debates actually like this thing will we

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<v Speaker 1>will be this thing will be often running the day

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<v Speaker 1>after the midterms, so people should be prepared for that.

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<v Speaker 1>And so just also to level set here. You know,

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<v Speaker 1>as you point out, like in twenty seventeen, you're worried

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<v Speaker 1>about the digital gap in working on it. After the

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<v Speaker 1>twenty twenty four election, there was this sort of widespread

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<v Speaker 1>consensus that Democrats had once again been out maneuvered digitally.

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<v Speaker 1>There's all the talk about all the podcasts that Trump

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<v Speaker 1>did and how they were, you know, using the internet

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<v Speaker 1>to target these less engaged voters. You know, I think

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<v Speaker 1>that there was a general sincerity among a lot of

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<v Speaker 1>people in the party to try to close the gap,

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<v Speaker 1>even if they didn't know exactly how to do it

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<v Speaker 1>or how the gap got there. Eighteen months after that election,

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<v Speaker 1>where do you see things? Has the party made real

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<v Speaker 1>improvements here? How much work needs to be done?

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<v Speaker 3>Yeah, I mean, we obviously have made improvements, but we're

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<v Speaker 3>not where we need to be, right. I think in

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<v Speaker 3>the aftermath of twenty sixteen, it was quite easy to say, wow,

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<v Speaker 3>cards are really not spending anything on digital. In the

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<v Speaker 3>aftermath of twenty twenty four, Democrats outspent Republicans two to

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<v Speaker 3>one on digital. So it's no longer a numbers game.

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<v Speaker 3>It's actually like several layers below the surface, which makes

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<v Speaker 3>it a lot more difficult to diagnose and solve. And

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<v Speaker 3>that's why, you know, it's no surprise that this the

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<v Speaker 3>last couple of years post twenty twenty four have been

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<v Speaker 3>a really tough set of fundraising years for Democrats because

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<v Speaker 3>the solutions to why we lost in twenty twenty four

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<v Speaker 3>really require us to dive deep and solve some big,

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<v Speaker 3>bigger cultural problems that we have ingrained in our party.

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<v Speaker 3>And so, you know, I think, if I'm going to

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<v Speaker 3>diagnose that problem in one sentence, my read is that

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<v Speaker 3>while Democrats are spending a lot more money on digital

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<v Speaker 3>than they were back in twenty sixteen, we're still running

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<v Speaker 3>digital programs to mirror what goes on on television. And

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<v Speaker 3>I think that's the crux of the problem that I'm

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<v Speaker 3>seeing today.

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<v Speaker 1>Could you say a little bit more about what that means?

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<v Speaker 3>Yeah, I mean, I think, you know, twenty years ago,

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<v Speaker 3>when a campaign was setting out to reach voters, they

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<v Speaker 3>had a handful of options of how they were going

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<v Speaker 3>to do that. They could buy, you know, broadcast cable

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<v Speaker 3>television points, they could knock doors, build an organizing program

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<v Speaker 3>send out mail pieces. Digital really wasn't on the table.

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<v Speaker 3>When you're setting out to you know, run a TV program.

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<v Speaker 3>You're picking out DMAs that are efficient based on where

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<v Speaker 3>your your state or congressional district is. You're building really

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<v Speaker 3>fancy models to determine which door I'm going to knock

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<v Speaker 3>and which door I'm going to skip. You're, you know,

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<v Speaker 3>building mail pieces that you know, same thing you're going

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<v Speaker 3>to mail to one house and not to another. But

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<v Speaker 3>I think that what we have really failed to realize

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<v Speaker 3>is that digital opens up so many more possibilities to

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<v Speaker 3>be able to reach voters in ways that bleed so

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<v Speaker 3>much far beyond where you live, what your DMA is

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<v Speaker 3>and what your voter file score is, And we're really

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<v Speaker 3>failing to lean into the creativity that digital affords us

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<v Speaker 3>when when we do that, and I think put put

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<v Speaker 3>in a much simpler way, nine out of the ten

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<v Speaker 3>top U t ads in twenty twenty four were just

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<v Speaker 3>thirty second ads that ran on TV first. So we

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<v Speaker 3>are quite literally practically taking thirty second ads that we

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<v Speaker 3>run on TV and then putting them on YouTube and

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<v Speaker 3>expecting people to watch them.

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<v Speaker 2>And that is quite literally lighting money on fire.

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<v Speaker 1>I mean, I've instruck by this, and you know, as

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<v Speaker 1>you know, we've been sort of both together and severally

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<v Speaker 1>screaming about this for a long time. Yeah, anyone who

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<v Speaker 1>watches YouTube would understand that a TV commercial run on

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<v Speaker 1>YouTube makes no sense. It would be like someone putting

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<v Speaker 1>a print ad on your television when you were watching it,

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<v Speaker 1>so you would just be supposed to read it. And

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<v Speaker 1>they're obviously incredibly smart people working in digital spaces across

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<v Speaker 1>the party in the Harris campaign and some of these

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<v Speaker 1>super PACs in the Biden campaign in twenty twenty. What

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<v Speaker 1>accounts for the fact that there we're sort of like

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<v Speaker 1>jamming this anachronistic square peg into a much more modern roundhole.

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<v Speaker 3>I mean, I think I cannot adequately answer this question

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<v Speaker 3>without addressing the consultant driven nature.

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<v Speaker 2>Of decisions.

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<v Speaker 3>Right like it is just if you want to look

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<v Speaker 3>at profit margins for a second, I'm what I'm basically

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<v Speaker 3>declaring that a campaign should do costs a lot more

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<v Speaker 3>than what it costs to run a TV campaign, So

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<v Speaker 3>that such that if I'm asking a campaign to cut

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<v Speaker 3>twenty ads to put on the Internet instead of one

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<v Speaker 3>ad to ship to everyone, that is obviously going to

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<v Speaker 3>eat into profit margins, and you know, the folks that

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<v Speaker 3>have been around for a really long time are going

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<v Speaker 3>to resist that. So I think that the pressure has

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<v Speaker 3>to come from a from a different place. That's part

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<v Speaker 3>of what Priority sees as its role in this ecosystem

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<v Speaker 3>is pushing the hard questions and you know, trying to

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<v Speaker 3>get past profit margins as the as the core goal.

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<v Speaker 3>It's it's, you know, ridiculous that we even have to

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<v Speaker 3>have that conversation, but it's it's also part of why.

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<v Speaker 3>Like when I joined the team in twenty seventeen and

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<v Speaker 3>you know, was offered the job as digital director, part

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<v Speaker 3>of my negotiation and was I want to build an

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<v Speaker 3>in house team because I don't want to have to

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<v Speaker 3>worry about, you know, working with a set of consultants

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<v Speaker 3>that's ultimately going to be trying to you know, pay

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<v Speaker 3>the bills. I want to hire people that are purely

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<v Speaker 3>focused on trying new things, innovating, and that has to

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<v Speaker 3>be their their number one focus. You know, I don't

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<v Speaker 3>want to get on here and say like consultants are

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<v Speaker 3>in it for the right reasons, right, so many democratic

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<v Speaker 3>consultants want to win these elections, but they also have

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<v Speaker 3>to pay bills, and when you are forced to make

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<v Speaker 3>decisions between paying bills and you know, winning elections, that's

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<v Speaker 3>naturally going to create attention that we just can't ignore.

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<v Speaker 3>But anyway, all of that to say, you know, I

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<v Speaker 3>think it is extremely easy to look at the reach

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<v Speaker 3>numbers that YouTube affords where you're any given week eighty

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<v Speaker 3>ninety percent of voters are reachable on YouTube, and to say, oh,

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<v Speaker 3>that's just an extension of TV, just like TV is

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<v Speaker 3>A is a one size fits all reach broadcast. We

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<v Speaker 3>literally use the word broadcast to describe TV. If you're

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<v Speaker 3>treating YouTube like a podcast channel, though, you're just missing

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<v Speaker 3>the point, right. And I have a lot of good

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<v Speaker 3>friends that you know, work on the Google sales team,

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<v Speaker 3>love them to death, but.

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<v Speaker 2>Their sales pitch is YouTube is TV.

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<v Speaker 3>I just fundamentally disagree with that, right, Like, if you

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<v Speaker 3>are treating it like a broadcast channel, you were fully missing.

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<v Speaker 1>The point the YouTube is TV thing. And I'm going

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<v Speaker 1>to get your study a minute, but you've got me

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<v Speaker 1>down a rabbit hole. And I knew that would happen

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<v Speaker 1>in this conversation because this is a issue a particularly

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<v Speaker 1>nerdy interest for me. I mean, YouTube is TV. And

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<v Speaker 1>this is the thing I've done the round since twenty

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<v Speaker 1>twenty four, meeting with various politicians, and I've tried to

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<v Speaker 1>explain to them, and I use YouTube as TV for

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<v Speaker 1>the purpose of understanding that for people to like actually socially,

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<v Speaker 1>these politicians understand that young voters watch YouTube on their

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<v Speaker 1>TV right they come home, they turn it on. And

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<v Speaker 1>what's different is they're not looking at TV guide or

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<v Speaker 1>the literal TV guide that shows up in your affinity

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<v Speaker 1>or cable. Thing is that the algorithm is showing them

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<v Speaker 1>things based on you know, a lot of data mining

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<v Speaker 1>and the and the things that subscribe to. But where

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<v Speaker 1>the point you're making is where the analogy fails is

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<v Speaker 1>that it is not consumed in the same way and

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<v Speaker 1>sort of like you can't just put a TV show

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<v Speaker 1>on YouTube, which is why YouTube does not invest in

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<v Speaker 1>scripted television, Like there's like a lingua franca of it.

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<v Speaker 1>And if the ads, if you're running TV ads on YouTube,

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<v Speaker 1>even if it's being watched on a literal television, that's

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<v Speaker 1>not what people are expecting, so they are more likely

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<v Speaker 1>to dismiss it, is that, right, Yeah, just.

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<v Speaker 3>I think it's an attention span problem, right, and it's

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<v Speaker 3>a function of you know, if someone is sitting to

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<v Speaker 3>and you're correct that a majority of people when they're

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<v Speaker 3>using YouTube are literally using watching it on a smart TV.

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<v Speaker 3>And that is different than YouTube TV, which is like

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<v Speaker 3>a subscription service that people pay for. No, it's literally

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<v Speaker 3>YouTube dot com being streamed on a television device. But like,

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<v Speaker 3>how many of those people are also holding their smartphone

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<v Speaker 3>and playing games, Like I've it into that category, like

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<v Speaker 3>it is extremely tough to get me to pay attention

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<v Speaker 3>to one screen. And I know I'm not alone in

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<v Speaker 3>that situation. So you both have an attention span challenge,

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<v Speaker 3>and then you also have a challenge slash opportunity that

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<v Speaker 3>people are using YouTube in.

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<v Speaker 2>Very different ways. It's a battleground, right.

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<v Speaker 3>It's people listening to podcasts, it is people playing games.

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<v Speaker 3>Is people watching clips that their friends send them, like

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<v Speaker 3>it is people listening to music. It's just it's so

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<v Speaker 3>many different things that if we're going to try to

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<v Speaker 3>squeeze it into to one category, we're really we're really

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<v Speaker 3>feeling And this does open up a really good, you know,

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<v Speaker 3>segue to a lot of the work that that Prairie

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<v Speaker 3>is doing too to really understand, like you know, I'm

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<v Speaker 3>pretty tired of media consumption research looking like let's slap

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<v Speaker 3>a question to the end of a poll and ask

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<v Speaker 3>how many people are watching YouTube. I need to know much, many,

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<v Speaker 3>many more details than that to really understand how to

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<v Speaker 3>cautacraft a media strategy. So that is the work that

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<v Speaker 3>Priorities has been investing in since twenty twenty four. Wrap

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<v Speaker 3>actually way before twenty twenty. We were doing this in

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<v Speaker 3>the middle of twenty twenty two, And that's the work

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<v Speaker 3>that we're excited to chat about.

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<v Speaker 1>Yeah, so you've, like I said, you've been studying how

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<v Speaker 1>people actually get information in this crazy, insane world we

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<v Speaker 1>live in, and not's just how people like you and

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<v Speaker 1>I can information because we kind of get information the

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<v Speaker 1>same way people have always got information, Like we're going

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<v Speaker 1>to sources to get it. We're following politics closely. But

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<v Speaker 1>you know, as we've talked about sort of endlessly on

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<v Speaker 1>this podcast and elsewhere since twenty twenty four, is the

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<v Speaker 1>swing voter is not necessarily a well informed centrist white

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<v Speaker 1>man from Wisconsin. It is someone who doesn't pay that

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<v Speaker 1>much attention to politics and is sort of kind of

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<v Speaker 1>you know, surfing the news at best and we're very weeded.

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<v Speaker 1>We're not very good at reaching the people or understanding

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<v Speaker 1>those people. So you've been looking at them. So before

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<v Speaker 1>we get into like what you actually found, can you

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<v Speaker 1>get walk us through the process by which you try

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<v Speaker 1>to understand the media habits of these less politically engaged individuals.

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<v Speaker 2>Yeah.

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<v Speaker 3>Absolutely, But just to underscore what you just said in

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<v Speaker 3>our post twenty twenty four research, we actually found that,

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<v Speaker 3>beyond age demographic, geographic indicators, that your consumption of YouTube

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<v Speaker 3>was more predictive of your vote choice and your vote

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<v Speaker 3>swing from twenty to twenty four than anything else.

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<v Speaker 1>So people think that you were more likely to vote

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<v Speaker 1>for Trump the more you could you watch.

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<v Speaker 2>Yeah, exactly.

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<v Speaker 3>So basically the crosstab was that men, men who are

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<v Speaker 3>watching more than three hours of YouTube have some of

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<v Speaker 3>the highest swing of any other you know, cross tab

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<v Speaker 3>that we were looking at, and that it also applies

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<v Speaker 3>to people who are listening to podcasts, It also applies

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<v Speaker 3>to women. It's it's just it's pretty consistent that your

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<v Speaker 3>Internet consumption patterns are very predictive of how much you swung.

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<v Speaker 3>From a persuasion standpoint, sour our team, you know, took

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<v Speaker 3>that information and said Okay, like we got to be

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<v Speaker 3>media consultants for the twenty first century because if no

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<v Speaker 3>one else is going to do it, like, let's let

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<v Speaker 3>us step up and play that role. And so we

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<v Speaker 3>basically have this project that our team has been working

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<v Speaker 3>on that really takes a look at We have an

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<v Speaker 3>always on survey operation.

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<v Speaker 2>Where it's actually really cool.

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<v Speaker 3>We actually, in a normal kind of survey environment, we

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<v Speaker 3>pay people to send us a screenshot of their screen

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<v Speaker 3>time apps. I'm sure you guys have like logged in

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<v Speaker 3>to see like how much time you spend on Twitter

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<v Speaker 3>every single day, But we're actually paying people to send

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<v Speaker 3>us a screenshot of that and then validating it against

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<v Speaker 3>what they self report to where they spend time, and

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<v Speaker 3>then using that as an understanding of what new apps

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<v Speaker 3>are popping that should be on our radar. How much

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<v Speaker 3>are is YouTube consumption changing over the summer. How how

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<v Speaker 3>much are people you know changing their subscriptions between Hulu

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<v Speaker 3>and Peacock depending on you know, what reality TV show

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<v Speaker 3>is on, which is very common and the thing that

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<v Speaker 3>I think our team was highly surprised to see how

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<v Speaker 3>much people change up their subscriptions, which is very you know.

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<v Speaker 2>Good information.

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<v Speaker 3>So basically Part one is is an always on survey

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<v Speaker 3>operation to just get a baseline of like where are

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<v Speaker 3>people spending time. We then do kind of quarterly sometimes

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<v Speaker 3>monthly deep dives on specific topics that our team wants

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<v Speaker 3>to dig into. So last summer we did a deep

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<v Speaker 3>dive on audio consumption to really understand specifically, how are

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<v Speaker 3>people consuming music, podcast, et cetera, what platform, What are

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<v Speaker 3>some patterns that that we can you know, take into

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<v Speaker 3>account from a media planning perspective.

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<v Speaker 2>And then we also.

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<v Speaker 3>Acquire you know, third party data that often is very

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<v Speaker 3>kind of observational and behavioral in nature, so that we

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<v Speaker 3>can actually observe what people are doing. And the search

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<v Speaker 3>data that Peter Hanby wrote about over the weekend is

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<v Speaker 3>that third category where we paid to acquire people's search data,

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<v Speaker 3>and then we did a really long term kind of

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<v Speaker 3>study to kind of better understand what patterns we could

340
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<v Speaker 3>pick up there.

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<v Speaker 1>Do you speak just a little more detail about the

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<v Speaker 1>search data, like what what you were looking for? How

422
00:20:23.240 --> 00:20:25.240
<v Speaker 1>many people it was? But you know, and then we

423
00:20:25.240 --> 00:20:26.119
<v Speaker 1>can g into what you found.

424
00:20:26.640 --> 00:20:26.880
<v Speaker 2>Yeah.

425
00:20:26.920 --> 00:20:29.680
<v Speaker 3>Absolutely, So anyone that's ever like talked to me in

426
00:20:29.680 --> 00:20:32.359
<v Speaker 3>my life knows that I am like particularly obsessed with

427
00:20:32.519 --> 00:20:35.720
<v Speaker 3>search behavior as like a proxy for understanding kind of

428
00:20:35.759 --> 00:20:38.079
<v Speaker 3>where voters you're at. I think it's like the single

429
00:20:38.160 --> 00:20:41.359
<v Speaker 3>most interesting thing that you can do to observe where

430
00:20:41.400 --> 00:20:44.839
<v Speaker 3>someone's head is at. It is literally like knocking on

431
00:20:44.839 --> 00:20:47.400
<v Speaker 3>someone's door and then being able to say to you, hey,

432
00:20:47.400 --> 00:20:49.559
<v Speaker 3>I'm really interested in immigration. You can then have a

433
00:20:49.599 --> 00:20:52.519
<v Speaker 3>conversation with them about immigration. They're like quite literally telling

434
00:20:52.559 --> 00:20:54.960
<v Speaker 3>you what they're interested in. And So for a long time,

435
00:20:55.000 --> 00:20:57.119
<v Speaker 3>I've just been really interested in how can we, you know,

436
00:20:57.240 --> 00:21:01.359
<v Speaker 3>do more to understand people's search behavior, how can we

437
00:21:01.440 --> 00:21:03.119
<v Speaker 3>use it, how can we learn from it, et cetera.

438
00:21:03.319 --> 00:21:06.119
<v Speaker 3>So we worked with a third party data provider to

439
00:21:06.960 --> 00:21:09.599
<v Speaker 3>acquire and pay for a set of people who basically

440
00:21:09.599 --> 00:21:13.240
<v Speaker 3>opted in to share their behavioral data with with this

441
00:21:13.359 --> 00:21:15.720
<v Speaker 3>data provider. So basically, like you could go to your

442
00:21:15.759 --> 00:21:18.880
<v Speaker 3>YouTube account right now and say download my history, you

443
00:21:18.920 --> 00:21:20.160
<v Speaker 3>could do the same thing on Twitter.

444
00:21:20.240 --> 00:21:22.680
<v Speaker 2>I actually highly recommend it. It's like very entertaining.

445
00:21:22.759 --> 00:21:25.079
<v Speaker 3>You like, download your history, upload it to Claude, tell

446
00:21:25.079 --> 00:21:27.519
<v Speaker 3>it to give you some analysis, it is like better

447
00:21:27.559 --> 00:21:29.279
<v Speaker 3>than therapy in a lot of ways.

448
00:21:29.680 --> 00:21:32.000
<v Speaker 1>But or release they maybe claud will tell you to

449
00:21:32.039 --> 00:21:33.160
<v Speaker 1>go to therapy after reading it.

450
00:21:33.640 --> 00:21:36.599
<v Speaker 2>Yeah, potentially I'll call it complimentary to therapy.

451
00:21:37.839 --> 00:21:40.640
<v Speaker 3>But anyway, so we did that with a provider that

452
00:21:40.720 --> 00:21:43.039
<v Speaker 3>was able to send us search behavior across you know

453
00:21:43.119 --> 00:21:46.039
<v Speaker 3>the major kind of traditional search engines, Google being the

454
00:21:46.039 --> 00:21:48.839
<v Speaker 3>most predominant one, but also you know, Gemini, Chat, EBT,

455
00:21:49.319 --> 00:21:54.240
<v Speaker 3>and then some of the major social media engines YouTube, Instagram, TikTok, Facebook,

456
00:21:54.319 --> 00:21:56.680
<v Speaker 3>et cetera, and so our team it was about six

457
00:21:56.759 --> 00:21:57.559
<v Speaker 3>million searches.

458
00:21:58.200 --> 00:22:00.319
<v Speaker 2>We did it across two different time periods.

459
00:22:00.680 --> 00:22:02.519
<v Speaker 3>The first was like the last couple of months of

460
00:22:02.519 --> 00:22:04.960
<v Speaker 3>twenty twenty four, and then the second time period was

461
00:22:04.960 --> 00:22:07.319
<v Speaker 3>like a chunk of twenty twenty five. We wanted to

462
00:22:07.359 --> 00:22:09.599
<v Speaker 3>be able to kind of look at it into chunks.

463
00:22:10.039 --> 00:22:13.000
<v Speaker 3>Our team spent a couple of weeks like really really

464
00:22:13.039 --> 00:22:15.240
<v Speaker 3>analyzing the data. It was like a huge you know,

465
00:22:16.000 --> 00:22:20.119
<v Speaker 3>undertaking to take a look at the trends. We definitely

466
00:22:20.200 --> 00:22:21.839
<v Speaker 3>would not have been able to do this project if

467
00:22:21.839 --> 00:22:24.720
<v Speaker 3>our team wasn't you know, fully enabling AI to do

468
00:22:24.799 --> 00:22:26.200
<v Speaker 3>a lot of the heavy lifting in the work. We

469
00:22:26.240 --> 00:22:30.000
<v Speaker 3>are a very let's lean into AI organization at priorities,

470
00:22:30.680 --> 00:22:33.880
<v Speaker 3>and we walked away with, you know, unsurprisingly a huge

471
00:22:34.000 --> 00:22:37.160
<v Speaker 3>number of insights that our team is currently using to

472
00:22:37.319 --> 00:22:39.799
<v Speaker 3>both run programs that we're running here in twenty six

473
00:22:39.880 --> 00:22:44.000
<v Speaker 3>but also looking ahead to twenty twenty eight. So yeah,

474
00:22:44.039 --> 00:22:45.640
<v Speaker 3>happy to share more about kind of what we learned

475
00:22:45.799 --> 00:22:46.119
<v Speaker 3>before we.

476
00:22:46.119 --> 00:22:49.759
<v Speaker 1>Get to the actual finance. With the search. The context

477
00:22:49.839 --> 00:22:51.680
<v Speaker 1>of search in this day and age is very interesting

478
00:22:51.720 --> 00:22:56.599
<v Speaker 1>because for most of the last twenty years, search meant

479
00:22:56.680 --> 00:22:59.000
<v Speaker 1>one thing, and one thing only the.

480
00:22:59.000 --> 00:23:00.599
<v Speaker 2>People at the people at being would would not.

481
00:23:01.000 --> 00:23:03.599
<v Speaker 1>Yes, there's a small handful of being people out there

482
00:23:03.640 --> 00:23:06.200
<v Speaker 1>who use it, and you know, we had Netscape. It's

483
00:23:06.200 --> 00:23:08.039
<v Speaker 1>we had some things earlier and they are It was

484
00:23:08.079 --> 00:23:08.720
<v Speaker 1>actually a.

485
00:23:08.759 --> 00:23:12.920
<v Speaker 3>Highly highly effective fundraising platform on the presidential campaigns that

486
00:23:12.960 --> 00:23:13.440
<v Speaker 3>I worked on.

487
00:23:13.559 --> 00:23:16.359
<v Speaker 1>Guests, Well, there you go. I am learning something brand

488
00:23:16.359 --> 00:23:20.079
<v Speaker 1>new today. But it meant it meant via Google or

489
00:23:20.279 --> 00:23:24.200
<v Speaker 1>bing searching the web. That's something very very different now,

490
00:23:24.480 --> 00:23:27.559
<v Speaker 1>as particularly as the social media and I'm gonna get

491
00:23:27.559 --> 00:23:30.759
<v Speaker 1>to AI later on this conversation, but as the social

492
00:23:30.799 --> 00:23:34.240
<v Speaker 1>media platforms become more places where people sort of live,

493
00:23:34.319 --> 00:23:38.680
<v Speaker 1>particularly TikTok and Instagram, Like how are you thinking about?

494
00:23:38.839 --> 00:23:42.640
<v Speaker 1>Like how does that? How many like our people? I

495
00:23:42.680 --> 00:23:44.720
<v Speaker 1>assume people are are searching for the same thing that

496
00:23:44.720 --> 00:23:49.200
<v Speaker 1>people used to search Google for a few years ago,

497
00:23:49.240 --> 00:23:51.880
<v Speaker 1>are now searching on Instagram or TikTok or elsewhere? Or

498
00:23:51.920 --> 00:23:54.039
<v Speaker 1>are their differences in those search like what did you find?

499
00:23:54.839 --> 00:23:57.759
<v Speaker 2>Yeah? I think like Google is still king, Like let's

500
00:23:57.960 --> 00:23:58.920
<v Speaker 2>let's just be really clear.

501
00:23:59.039 --> 00:24:02.960
<v Speaker 3>Google is still huge market share, predominant market share, and

502
00:24:03.279 --> 00:24:05.240
<v Speaker 3>Google makes a majority of their money off of search,

503
00:24:05.279 --> 00:24:08.119
<v Speaker 3>not YouTube, Like, let's just name that they were going

504
00:24:08.160 --> 00:24:11.119
<v Speaker 3>to do everything they can to not lose that spot

505
00:24:11.160 --> 00:24:15.200
<v Speaker 3>in the market. But even as people are spending more

506
00:24:15.240 --> 00:24:18.119
<v Speaker 3>and more time online, I like to think about it,

507
00:24:18.200 --> 00:24:20.359
<v Speaker 3>and this comes into play a lot when you're putting

508
00:24:20.359 --> 00:24:23.400
<v Speaker 3>together a media plan. As people spend more time online,

509
00:24:23.599 --> 00:24:25.960
<v Speaker 3>they're just doing more, right, Like you are both using

510
00:24:26.000 --> 00:24:29.079
<v Speaker 3>Instagram and TikTok and search every day instead of picking

511
00:24:29.079 --> 00:24:29.680
<v Speaker 3>between them.

512
00:24:30.000 --> 00:24:30.799
<v Speaker 2>And so I think what we.

513
00:24:30.720 --> 00:24:33.200
<v Speaker 3>Are starting to see is that the behaviors between these

514
00:24:33.240 --> 00:24:37.559
<v Speaker 3>different search engines are different, which is really helpful learning, right,

515
00:24:37.640 --> 00:24:40.559
<v Speaker 3>Like people are going to Google to really fact check

516
00:24:40.640 --> 00:24:43.279
<v Speaker 3>and get basic information, but then they're going to chat

517
00:24:43.279 --> 00:24:46.839
<v Speaker 3>GBT to really like put together robust plans and really

518
00:24:46.839 --> 00:24:50.519
<v Speaker 3>go back and forth, whereas you know Instagram, TikTok, it

519
00:24:50.519 --> 00:24:53.240
<v Speaker 3>can become a little bit more entertaining in nature. So

520
00:24:53.400 --> 00:24:55.920
<v Speaker 3>I like to think about it less of a binary

521
00:24:56.039 --> 00:24:59.039
<v Speaker 3>choice that people are making between these different platforms. Obviously

522
00:24:59.119 --> 00:25:03.119
<v Speaker 3>there are t in that direction, but it's more about

523
00:25:03.200 --> 00:25:06.279
<v Speaker 3>how are people using these different platforms for different different reasons.

524
00:25:07.200 --> 00:25:08.559
<v Speaker 3>The thing I will say that I think is a

525
00:25:08.759 --> 00:25:11.440
<v Speaker 3>really important piece of the learning here is, like I said,

526
00:25:11.519 --> 00:25:14.200
<v Speaker 3>Google is still top of the list. I think our

527
00:25:14.240 --> 00:25:18.720
<v Speaker 3>party is very interested in understanding people's relationships to chatbots

528
00:25:18.759 --> 00:25:22.039
<v Speaker 3>and AI As a search engine, that is incredibly important

529
00:25:22.039 --> 00:25:25.599
<v Speaker 3>and it's changing rapidly. But people using YouTube as a

530
00:25:25.599 --> 00:25:30.519
<v Speaker 3>search engine is incredibly underdiscussed. I think that YouTube is

531
00:25:30.559 --> 00:25:34.240
<v Speaker 3>the number two search engine behind Google. Those data sets

532
00:25:34.240 --> 00:25:37.279
<v Speaker 3>are obviously integrated under one umbrella, and it's a place

533
00:25:37.279 --> 00:25:39.599
<v Speaker 3>that I think we definitely don't spend enough time thinking about,

534
00:25:39.680 --> 00:25:41.440
<v Speaker 3>and we can actually do a lot more there than

535
00:25:41.440 --> 00:25:42.720
<v Speaker 3>we can on chatbots.

536
00:25:43.319 --> 00:25:45.480
<v Speaker 1>What do you when you say do more? Because you

537
00:25:45.519 --> 00:25:47.119
<v Speaker 1>can you can.

538
00:25:47.000 --> 00:25:50.960
<v Speaker 3>Manipulate, you can manipulate and run ads and produce video

539
00:25:51.079 --> 00:25:53.640
<v Speaker 3>content that appears when someone searches for a topic that

540
00:25:53.680 --> 00:25:55.759
<v Speaker 3>you want to appear on, right Like, we know for

541
00:25:55.839 --> 00:25:58.839
<v Speaker 3>a fact that AEO is a hot topic right now.

542
00:25:58.880 --> 00:26:01.279
<v Speaker 3>People really want to understand and how they can influence

543
00:26:01.319 --> 00:26:04.079
<v Speaker 3>a search result in a chatbot. But we you know,

544
00:26:04.359 --> 00:26:06.599
<v Speaker 3>YouTube search has been around for for such a long time.

545
00:26:06.640 --> 00:26:09.079
<v Speaker 3>It's it's a lot easier to manipulate what comes up

546
00:26:09.599 --> 00:26:12.559
<v Speaker 3>when someone searches for something on YouTube in a way

547
00:26:12.559 --> 00:26:14.720
<v Speaker 3>that I think the Democratic Party needs to be spending

548
00:26:14.720 --> 00:26:17.920
<v Speaker 3>a lot more time producing video than they do, you know,

549
00:26:18.000 --> 00:26:19.400
<v Speaker 3>manipulating chatbot results.

550
00:26:19.759 --> 00:26:20.799
<v Speaker 2>It's not it's not a choice.

551
00:26:20.839 --> 00:26:21.000
<v Speaker 5>It's not.

552
00:26:21.160 --> 00:26:22.960
<v Speaker 2>It's not it's a false choice. But I think we

553
00:26:23.039 --> 00:26:24.000
<v Speaker 2>got to spend more time with it.

554
00:26:24.599 --> 00:26:27.319
<v Speaker 1>I am of a certain generation because I'm old where

555
00:26:28.519 --> 00:26:30.119
<v Speaker 1>YouTube is not the same to me, Like I didn't

556
00:26:30.119 --> 00:26:32.400
<v Speaker 1>grow up using YouTube, obviously grow up with the Internet.

557
00:26:32.440 --> 00:26:36.519
<v Speaker 1>We're gonna have to discuss that here. And but like

558
00:26:36.640 --> 00:26:38.319
<v Speaker 1>I think a lot of people who are in politics,

559
00:26:38.359 --> 00:26:40.960
<v Speaker 1>many of them are my age and older inn Gerontocracy,

560
00:26:41.920 --> 00:26:44.200
<v Speaker 1>don't fully understand just like how big YouTube is that

561
00:26:44.279 --> 00:26:46.960
<v Speaker 1>it's the biggest video platform in the world's biggest music

562
00:26:46.960 --> 00:26:48.720
<v Speaker 1>platform in the world. It's bigger than Spotify on music,

563
00:26:48.759 --> 00:26:51.559
<v Speaker 1>it's better than Apple podcasts or Spotify as a podcast platform.

564
00:26:51.599 --> 00:26:56.400
<v Speaker 1>That it is just this gigantic thing that dominates people's lives.

565
00:26:56.400 --> 00:26:58.119
<v Speaker 1>I don't think people really get that. But let's let's

566
00:26:58.119 --> 00:27:02.119
<v Speaker 1>get to let's get to what you found about. Well,

567
00:27:02.160 --> 00:27:04.200
<v Speaker 1>when you were analyzing this data, what are sort of

568
00:27:04.240 --> 00:27:05.839
<v Speaker 1>what are the major insights you've got?

569
00:27:06.079 --> 00:27:08.960
<v Speaker 3>Yeah, So I think the number one headline is that

570
00:27:09.960 --> 00:27:12.480
<v Speaker 3>people are not searching for anything political. Of the six

571
00:27:12.519 --> 00:27:15.279
<v Speaker 3>million searches that we acquired, less than one hundred thousand

572
00:27:15.359 --> 00:27:18.680
<v Speaker 3>were political or even politically adjacent. The reality is, and

573
00:27:18.720 --> 00:27:20.440
<v Speaker 3>I think the thing that you know keeps the team

574
00:27:20.480 --> 00:27:23.279
<v Speaker 3>at Priorities USA up at night but also motivates our

575
00:27:23.319 --> 00:27:26.680
<v Speaker 3>work is that people just aren't thinking about politics and

576
00:27:26.720 --> 00:27:29.279
<v Speaker 3>we have to really if we don't understand that going

577
00:27:29.319 --> 00:27:32.039
<v Speaker 3>into crafting a campaign, we're really going to miss miss

578
00:27:32.079 --> 00:27:35.480
<v Speaker 3>the mark on how do we actually then reach someone. So,

579
00:27:35.599 --> 00:27:37.960
<v Speaker 3>you know, I think in doing our analysis, we found

580
00:27:38.440 --> 00:27:40.720
<v Speaker 3>a lot of really awesome patterns around when people do.

581
00:27:40.640 --> 00:27:41.839
<v Speaker 2>Search for politics.

582
00:27:41.599 --> 00:27:45.160
<v Speaker 3>It's eye opening for our team around how soon out

583
00:27:45.160 --> 00:27:47.599
<v Speaker 3>from the election are people starting to search for their

584
00:27:47.599 --> 00:27:50.920
<v Speaker 3>pulling location? When are they searching for information about their candidates.

585
00:27:50.920 --> 00:27:53.079
<v Speaker 3>Like all our team is quite literally right now, it's

586
00:27:53.160 --> 00:27:56.240
<v Speaker 3>you know, a Friday afternoon. That is like literally what

587
00:27:56.279 --> 00:27:58.880
<v Speaker 3>they are working on to craft our twenty twenty six campaigns.

588
00:27:59.799 --> 00:28:02.960
<v Speaker 3>But you know, more importantly, it's opening our eyes. I

589
00:28:02.960 --> 00:28:06.559
<v Speaker 3>think to the thing that I'm the most excited about

590
00:28:06.680 --> 00:28:09.640
<v Speaker 3>and nerding out about is this category of what we're

591
00:28:09.640 --> 00:28:14.880
<v Speaker 3>calling politically adjacent categories that are a really awesome entry

592
00:28:14.920 --> 00:28:18.480
<v Speaker 3>point for us to be having relevant conversations with people

593
00:28:18.799 --> 00:28:21.759
<v Speaker 3>when they aren't thinking about politics, but they're one step

594
00:28:21.799 --> 00:28:24.480
<v Speaker 3>away from thinking about politics. And let me just give

595
00:28:24.480 --> 00:28:26.279
<v Speaker 3>you an analogy on this really quick, because I think

596
00:28:26.279 --> 00:28:28.799
<v Speaker 3>it's helpful at kind of landing why this is important.

597
00:28:29.319 --> 00:28:31.119
<v Speaker 3>I like to I spend a lot of time thinking

598
00:28:31.119 --> 00:28:34.039
<v Speaker 3>about how can we as political advertisers compare ourselves to

599
00:28:34.119 --> 00:28:37.480
<v Speaker 3>corporate advertisers because it's a billion dollar industry and there's

600
00:28:37.480 --> 00:28:39.279
<v Speaker 3>a lot that we can learn from people that are

601
00:28:39.319 --> 00:28:42.480
<v Speaker 3>quite literally doing similar work to us. But at the

602
00:28:42.519 --> 00:28:45.359
<v Speaker 3>end of the day, you know, I said this to Peter,

603
00:28:45.480 --> 00:28:48.880
<v Speaker 3>but Nike knows that you're training for a marathon, and

604
00:28:49.039 --> 00:28:51.640
<v Speaker 3>they're using that information to sell you shoes at that

605
00:28:51.720 --> 00:28:56.160
<v Speaker 3>particular moment, target knows that you are pregnant, probably before

606
00:28:56.200 --> 00:28:57.680
<v Speaker 3>you do. There was that story that came out on

607
00:28:57.720 --> 00:29:00.720
<v Speaker 3>that a couple of years ago. My algorith them currently

608
00:29:00.759 --> 00:29:03.799
<v Speaker 3>knows that I'm shopping for fall shoes, and it is

609
00:29:03.960 --> 00:29:06.079
<v Speaker 3>quite helpful to me, and I actually really appreciate the

610
00:29:06.079 --> 00:29:09.559
<v Speaker 3>algorithm for knowing exactly what I want. The reality is

611
00:29:09.599 --> 00:29:13.960
<v Speaker 3>that advertising writ large is like very contextually relevant and

612
00:29:14.000 --> 00:29:17.200
<v Speaker 3>like very genuinely helpful in a lot of ways, and

613
00:29:17.319 --> 00:29:21.440
<v Speaker 3>that political advertising is not that political advertising is just interruptive.

614
00:29:21.519 --> 00:29:23.640
<v Speaker 3>We like show up in the most random moments and

615
00:29:23.720 --> 00:29:26.680
<v Speaker 3>want to like interrupt your day. And we got to

616
00:29:26.720 --> 00:29:28.680
<v Speaker 3>get closer to the corporate model. We got to create

617
00:29:28.680 --> 00:29:31.559
<v Speaker 3>campaigns that are actually you know, relevant to someone's day

618
00:29:32.599 --> 00:29:35.559
<v Speaker 3>and you know, behaviorally, I think we can take a

619
00:29:35.599 --> 00:29:38.920
<v Speaker 3>lot a closer look at where people are actually interested

620
00:29:39.759 --> 00:29:42.799
<v Speaker 3>and then create those connective points between what they're interested

621
00:29:42.799 --> 00:29:44.839
<v Speaker 3>in and how can we can shift the conversation to

622
00:29:44.880 --> 00:29:47.160
<v Speaker 3>politics and have a million ideas of what that looks

623
00:29:47.200 --> 00:29:48.480
<v Speaker 3>like that I'm happy to dive into.

624
00:29:49.200 --> 00:29:52.200
<v Speaker 1>Yeah, so I want to like you raised this very

625
00:29:52.319 --> 00:29:54.319
<v Speaker 1>and I was very struck by that quote from you,

626
00:29:54.559 --> 00:29:55.200
<v Speaker 1>and I.

627
00:29:55.119 --> 00:29:57.359
<v Speaker 3>Gotta get starting paid I gotta get paid by Nike

628
00:29:57.440 --> 00:29:57.960
<v Speaker 3>at some point.

629
00:29:59.279 --> 00:29:59.720
<v Speaker 6>That's right.

630
00:30:00.079 --> 00:30:03.880
<v Speaker 1>No free ads. As a rule, we have everyone who

631
00:30:03.880 --> 00:30:07.200
<v Speaker 1>spends any time on the Internet understands that your phone

632
00:30:07.920 --> 00:30:11.440
<v Speaker 1>is tracking everything you do and then giving you serving

633
00:30:11.480 --> 00:30:15.880
<v Speaker 1>you information ads about that very thing. As you point out, right,

634
00:30:16.359 --> 00:30:18.799
<v Speaker 1>like you have kids. It knows you have kids. Back

635
00:30:18.839 --> 00:30:20.920
<v Speaker 1>to school comes, it's back to school stuff, right, it's

636
00:30:21.319 --> 00:30:23.559
<v Speaker 1>they know you've done. You've done. You've searched Disneyland on

637
00:30:23.599 --> 00:30:25.000
<v Speaker 1>the internet. Now you're going to get a bunch of

638
00:30:25.039 --> 00:30:27.759
<v Speaker 1>Disney content. You're going to get advertised in a million

639
00:30:27.759 --> 00:30:31.519
<v Speaker 1>different ways through you know, on Instagram, through TikTok, on

640
00:30:31.559 --> 00:30:33.960
<v Speaker 1>your uh, you know, in your Gmail. You're going to

641
00:30:34.039 --> 00:30:37.119
<v Speaker 1>get Disneyland ads for right, or from travel crims whatever else.

642
00:30:39.400 --> 00:30:44.640
<v Speaker 1>If the corporate model is behavioral based advertising, what has

643
00:30:44.720 --> 00:30:47.920
<v Speaker 1>the political model been to date? What is that based on.

644
00:30:48.039 --> 00:30:49.599
<v Speaker 2>It's the same conversation we just had.

645
00:30:49.640 --> 00:30:53.400
<v Speaker 3>It's based on your geography and your voter file score.

646
00:30:53.759 --> 00:30:57.680
<v Speaker 3>I think ninety plus percent of democratic advertising investments to

647
00:30:57.759 --> 00:30:59.079
<v Speaker 3>date have been based on.

648
00:30:59.440 --> 00:31:00.200
<v Speaker 2>Where you live.

649
00:31:00.720 --> 00:31:03.400
<v Speaker 3>Not as a proxy for you know, you being close

650
00:31:03.440 --> 00:31:06.440
<v Speaker 3>to a data center or on a user university campus,

651
00:31:06.519 --> 00:31:09.440
<v Speaker 3>but just how likely am I if I were to

652
00:31:09.440 --> 00:31:11.559
<v Speaker 3>throw a dart to reach a black voter or reach

653
00:31:11.559 --> 00:31:14.279
<v Speaker 3>a college student like that. It is based on density

654
00:31:14.359 --> 00:31:16.039
<v Speaker 3>and efficiency for the most part.

655
00:31:16.759 --> 00:31:19.880
<v Speaker 2>That's like how people use geography to target.

656
00:31:19.880 --> 00:31:21.680
<v Speaker 3>And then when it comes to a voter file, it's

657
00:31:21.799 --> 00:31:25.559
<v Speaker 3>just you know, the ease of someone is building you

658
00:31:26.160 --> 00:31:29.000
<v Speaker 3>a model. They're telling you which voter you should knock

659
00:31:29.039 --> 00:31:31.000
<v Speaker 3>and which voter you shouldn't, which voter you should mail

660
00:31:31.039 --> 00:31:34.119
<v Speaker 3>and which you shouldn't. And digital practitioners have been told

661
00:31:34.119 --> 00:31:36.440
<v Speaker 3>for a really long time, hey, can you target this list.

662
00:31:36.240 --> 00:31:37.960
<v Speaker 2>Of voters that we think is important.

663
00:31:38.440 --> 00:31:40.799
<v Speaker 3>There's technology that exists to be able to upload an

664
00:31:40.799 --> 00:31:43.960
<v Speaker 3>offline list and match it to the internet, but that's

665
00:31:44.039 --> 00:31:47.240
<v Speaker 3>just completely you know, ignoring every online signal that you

666
00:31:47.559 --> 00:31:50.680
<v Speaker 3>can add to to make sure that that you know

667
00:31:50.759 --> 00:31:53.920
<v Speaker 3>becomes becomes relevant to the to the end user.

668
00:31:54.319 --> 00:31:55.759
<v Speaker 2>So yeah, status quo is.

669
00:31:55.839 --> 00:31:58.240
<v Speaker 3>I would say geography and voter file are like the

670
00:31:58.279 --> 00:32:02.000
<v Speaker 3>primary drivers of current targeting and we're out here screaming

671
00:32:02.119 --> 00:32:03.279
<v Speaker 3>there's more to it than that.

672
00:32:04.359 --> 00:32:06.359
<v Speaker 1>Is identity part of that as well, at least like

673
00:32:06.359 --> 00:32:08.240
<v Speaker 1>in a broad based way, like especially if you're back

674
00:32:08.240 --> 00:32:10.279
<v Speaker 1>in the days when you're advertising on Facebook where you

675
00:32:10.319 --> 00:32:14.039
<v Speaker 1>would be you know, targeting people of a certain demographic

676
00:32:14.079 --> 00:32:16.880
<v Speaker 1>group or certain age group that you would be reaching,

677
00:32:16.920 --> 00:32:19.839
<v Speaker 1>but it's not tied to any specific knowledge about what

678
00:32:19.880 --> 00:32:21.400
<v Speaker 1>those people care about. Correct.

679
00:32:21.680 --> 00:32:25.319
<v Speaker 3>Yeah, I would say like age and demographic come into

680
00:32:25.400 --> 00:32:29.279
<v Speaker 3>play a lot, probably more rarely than you would think, right,

681
00:32:29.359 --> 00:32:31.079
<v Speaker 3>Like I think when I was on the Obama campaign

682
00:32:31.319 --> 00:32:35.440
<v Speaker 3>in twenty twelve, we definitely had age and gender tracks,

683
00:32:35.480 --> 00:32:38.519
<v Speaker 3>we had demographic tracks layered on top of kind of

684
00:32:38.559 --> 00:32:41.599
<v Speaker 3>our broadcast track, But in a small congressional race, Like,

685
00:32:41.640 --> 00:32:45.240
<v Speaker 3>I think, that's a lot more rare than you might expect.

686
00:32:45.279 --> 00:32:48.000
<v Speaker 3>And I'm not out here saying that age, demo, geographic

687
00:32:48.039 --> 00:32:51.680
<v Speaker 3>targeting isn't important, it's it's highly critical. I think we're

688
00:32:51.759 --> 00:32:54.200
<v Speaker 3>just saying that the next step beyond that of really

689
00:32:54.200 --> 00:32:56.599
<v Speaker 3>trying to understand how to reach someone based on things

690
00:32:56.599 --> 00:33:00.920
<v Speaker 3>that were not necessarily observing offline but instead online, we

691
00:33:00.920 --> 00:33:04.039
<v Speaker 3>should be pushing ourselves to think in that category because

692
00:33:04.079 --> 00:33:05.440
<v Speaker 3>it's just going to make it's going to make us

693
00:33:05.440 --> 00:33:06.640
<v Speaker 3>better advertisers.

694
00:33:07.440 --> 00:33:09.960
<v Speaker 1>Is cost prohibitive here or is that a problem? Is

695
00:33:10.000 --> 00:33:12.400
<v Speaker 1>it much more obviously much more expensive to market to

696
00:33:12.440 --> 00:33:16.839
<v Speaker 1>someone based on you know, specific targeted not you know,

697
00:33:17.079 --> 00:33:21.599
<v Speaker 1>information about their online presence, that just targeting a group

698
00:33:21.599 --> 00:33:23.079
<v Speaker 1>who happen to live in a certain zip code.

699
00:33:23.400 --> 00:33:24.400
<v Speaker 2>Not in a major way.

700
00:33:24.480 --> 00:33:28.240
<v Speaker 3>I mean, you know, like I think Facebook, their CPMs

701
00:33:28.240 --> 00:33:30.039
<v Speaker 3>get a lot lower when you kind of give them

702
00:33:30.079 --> 00:33:32.480
<v Speaker 3>free will to pick out who you want them to reach.

703
00:33:32.599 --> 00:33:35.000
<v Speaker 3>So when you're running a campaign on Facebook and you're

704
00:33:35.039 --> 00:33:38.680
<v Speaker 3>saying as long as someone cares about fitness, go ahead

705
00:33:38.680 --> 00:33:40.640
<v Speaker 3>and reach them, that gives them a lot more free

706
00:33:40.640 --> 00:33:43.759
<v Speaker 3>will to target folks than if you were to upload

707
00:33:43.759 --> 00:33:45.400
<v Speaker 3>a file and say I only want to target these

708
00:33:45.440 --> 00:33:48.240
<v Speaker 3>hundred thousand people. So that does impact the CPM, but

709
00:33:48.440 --> 00:33:48.839
<v Speaker 3>a in.

710
00:33:48.799 --> 00:33:49.559
<v Speaker 2>A helpful way.

711
00:33:50.200 --> 00:33:52.279
<v Speaker 3>We have a lot of questions and we're doing a

712
00:33:52.319 --> 00:33:54.799
<v Speaker 3>lot of research aut period is around just how you

713
00:33:54.839 --> 00:33:57.720
<v Speaker 3>can kind of validate that that data that you get

714
00:33:57.759 --> 00:33:59.000
<v Speaker 3>on places like Facebook, YouTube.

715
00:33:59.039 --> 00:34:01.079
<v Speaker 2>But no, I would say cost.

716
00:34:01.200 --> 00:34:03.960
<v Speaker 3>If someone's bringing up costs as an excuse not to

717
00:34:04.039 --> 00:34:06.480
<v Speaker 3>do a campaign like this, they're they're probably not fully

718
00:34:06.480 --> 00:34:09.280
<v Speaker 3>grasping what we're talking about. Obviously, I think what I

719
00:34:09.320 --> 00:34:12.840
<v Speaker 3>am describing here does require incremental costs.

720
00:34:12.599 --> 00:34:13.800
<v Speaker 2>From a production standpoint.

721
00:34:13.840 --> 00:34:16.320
<v Speaker 3>I think the model we are describing certainly requires you

722
00:34:16.360 --> 00:34:19.320
<v Speaker 3>to make many, many more ads than a TV one

723
00:34:19.320 --> 00:34:22.039
<v Speaker 3>size fits all program. But I also think there's a

724
00:34:22.039 --> 00:34:24.039
<v Speaker 3>ton more that we can be doing on the kind

725
00:34:24.039 --> 00:34:28.000
<v Speaker 3>of AI automation side to make the production process faster, easier.

726
00:34:28.199 --> 00:34:30.800
<v Speaker 2>That actually has nothing to do with you know, AI slop.

727
00:34:30.880 --> 00:34:33.280
<v Speaker 3>You can you can automate the back end without making

728
00:34:33.320 --> 00:34:35.480
<v Speaker 3>the front end of it AI driven.

729
00:34:36.559 --> 00:34:40.239
<v Speaker 1>But like, can we live in a world where using

730
00:34:40.280 --> 00:34:42.840
<v Speaker 1>the voter file, we've identified a set of target voters

731
00:34:43.039 --> 00:34:46.760
<v Speaker 1>in a swing state and we now know that this

732
00:34:46.840 --> 00:34:49.880
<v Speaker 1>swing voter has been searching on This is creepy. A

733
00:34:49.880 --> 00:34:51.920
<v Speaker 1>lot of people has been searching on the internet about

734
00:34:51.960 --> 00:34:55.880
<v Speaker 1>cyclospora and food recalls. And then could you then get

735
00:34:55.920 --> 00:34:59.199
<v Speaker 1>a camp, present a well funded, well run digitally forward

736
00:34:59.239 --> 00:35:03.480
<v Speaker 1>presential campaign, then target that voter with an AD. In

737
00:35:03.519 --> 00:35:06.599
<v Speaker 1>twenty twenty eight, that said, you know, in the Trump

738
00:35:06.679 --> 00:35:09.760
<v Speaker 1>Vance administrate, presuming Chade advances ceminy and the Trump Vance administration,

739
00:35:10.360 --> 00:35:13.360
<v Speaker 1>they cut all the funding which led to these Bluebird

740
00:35:13.400 --> 00:35:15.559
<v Speaker 1>recalls or Leus recalls or whatever else, Like, is that

741
00:35:16.079 --> 00:35:17.719
<v Speaker 1>something that can be done at scale?

742
00:35:18.039 --> 00:35:20.480
<v Speaker 2>So Google doesn't allow you to use offline data to

743
00:35:20.519 --> 00:35:22.880
<v Speaker 2>do targeting. They got rid of that. I think it

744
00:35:22.920 --> 00:35:25.840
<v Speaker 2>was twenty nineteen. But everything else that you describe, yes,

745
00:35:25.960 --> 00:35:27.519
<v Speaker 2>would would be doable.

746
00:35:28.400 --> 00:35:30.840
<v Speaker 3>I think, though, the reason that I care a little

747
00:35:30.840 --> 00:35:33.199
<v Speaker 3>bit less about the front end, Like here's the voters

748
00:35:33.239 --> 00:35:36.239
<v Speaker 3>I particularly care about is think about how a model

749
00:35:36.280 --> 00:35:39.440
<v Speaker 3>is built. Right, You take a look at someone's vote history,

750
00:35:39.480 --> 00:35:41.280
<v Speaker 3>and then you ask them a bunch of questions in

751
00:35:41.280 --> 00:35:44.639
<v Speaker 3>a survey to infer you know how they're going to

752
00:35:44.840 --> 00:35:47.760
<v Speaker 3>you know how they're going to vote, and you you

753
00:35:47.880 --> 00:35:50.079
<v Speaker 3>apply that to a broader set of voters, and you

754
00:35:50.119 --> 00:35:52.159
<v Speaker 3>make predictions about how you think someone's going to vote

755
00:35:52.159 --> 00:35:55.920
<v Speaker 3>based on them being male, going to church, reading books

756
00:35:56.000 --> 00:35:56.559
<v Speaker 3>on the weekend.

757
00:35:56.599 --> 00:35:57.239
<v Speaker 2>Whatever. It is.

758
00:35:57.239 --> 00:35:59.800
<v Speaker 3>Like, there's a bunch of really smart data people out

759
00:35:59.800 --> 00:36:02.239
<v Speaker 3>there that are building really smart models. I think what

760
00:36:02.239 --> 00:36:05.320
<v Speaker 3>we're saying, though, is, in addition to asking someone a

761
00:36:05.360 --> 00:36:07.239
<v Speaker 3>survey question to inform.

762
00:36:06.920 --> 00:36:09.840
<v Speaker 2>A model, what if you just observe what they do instead?

763
00:36:10.239 --> 00:36:12.440
<v Speaker 3>Right, Like, how can we get to a point where

764
00:36:12.440 --> 00:36:15.400
<v Speaker 3>we are, you know, not relying on offline data to

765
00:36:15.559 --> 00:36:18.559
<v Speaker 3>predict where someone is and instead just you know, if

766
00:36:18.599 --> 00:36:22.119
<v Speaker 3>someone's searching for whether their lettuce is contaminated, I don't

767
00:36:22.199 --> 00:36:24.760
<v Speaker 3>really care how they voted in twenty twenty. I think

768
00:36:24.800 --> 00:36:27.800
<v Speaker 3>that ad is probably quite relevant to them. So, and

769
00:36:27.880 --> 00:36:29.760
<v Speaker 3>you don't even pay for an ad until someone clicks

770
00:36:29.800 --> 00:36:31.960
<v Speaker 3>on it. So why don't we just try and get

771
00:36:32.039 --> 00:36:35.000
<v Speaker 3>rid of the kind of front end marker to begin with?

772
00:36:35.159 --> 00:36:35.800
<v Speaker 2>Does that make sense?

773
00:36:36.119 --> 00:36:38.880
<v Speaker 1>Okay, let's get into just sort of all right, So

774
00:36:38.880 --> 00:36:40.760
<v Speaker 1>we got a bunch of these voters who are less

775
00:36:40.760 --> 00:36:43.440
<v Speaker 1>politically engaged. You've looked at, you know, of the six

776
00:36:43.559 --> 00:36:47.159
<v Speaker 1>million searches you had, you know, the rolling percentage of

777
00:36:47.159 --> 00:36:50.199
<v Speaker 1>them were non political. What are these theoretically non political

778
00:36:50.239 --> 00:36:53.280
<v Speaker 1>people doing on the internet? Where are they? What are

779
00:36:53.280 --> 00:36:53.960
<v Speaker 1>they interested in?

780
00:36:54.320 --> 00:36:54.719
<v Speaker 2>Yeah?

781
00:36:54.760 --> 00:36:58.239
<v Speaker 3>So one of the most interesting, remarkable findings that we

782
00:36:58.320 --> 00:37:01.639
<v Speaker 3>saw is just how much people are you know, searching

783
00:37:01.800 --> 00:37:05.039
<v Speaker 3>for you know, what we're calling kind of public benefit programs.

784
00:37:05.079 --> 00:37:08.559
<v Speaker 3>People searching for how to download a FASTA form, how

785
00:37:08.559 --> 00:37:11.920
<v Speaker 3>to apply for medicaid? What is medicaid called in my state?

786
00:37:12.800 --> 00:37:16.599
<v Speaker 3>Those are all I think it's a very like large

787
00:37:16.719 --> 00:37:18.840
<v Speaker 3>percentage of the searches that we are seeing in that

788
00:37:18.960 --> 00:37:22.800
<v Speaker 3>kind of politically adjacent field. And it's a really important

789
00:37:22.840 --> 00:37:25.119
<v Speaker 3>signal to us that someone who is searching for a

790
00:37:25.119 --> 00:37:29.079
<v Speaker 3>FASTA form should probably fall into a particular bucket of

791
00:37:29.079 --> 00:37:32.280
<v Speaker 3>communication that looks different than someone who's searching for whether

792
00:37:32.280 --> 00:37:35.480
<v Speaker 3>their lettuce is contaminated. I think that was the most

793
00:37:35.480 --> 00:37:39.039
<v Speaker 3>remarkable finding that that I saw that I think we're

794
00:37:39.480 --> 00:37:40.559
<v Speaker 3>eager to act on.

795
00:37:48.599 --> 00:37:50.960
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796
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<v Speaker 1>The grand mystery, right, it is like, I know where

819
00:39:05.440 --> 00:39:07.039
<v Speaker 1>you get your information, or you know where someone like

820
00:39:07.079 --> 00:39:11.280
<v Speaker 1>me gets my information. How but all these people who

821
00:39:11.320 --> 00:39:14.320
<v Speaker 1>pay no attention to politics, like you don't actively pay

822
00:39:14.360 --> 00:39:18.239
<v Speaker 1>attention to politics, are forming political opinions right or that

823
00:39:18.400 --> 00:39:21.599
<v Speaker 1>like or even if they're very broad, they have a

824
00:39:21.679 --> 00:39:24.920
<v Speaker 1>general sense of how they feel about political figures, political issues,

825
00:39:25.559 --> 00:39:28.079
<v Speaker 1>things that happen in the news. You know, what are

826
00:39:28.079 --> 00:39:30.039
<v Speaker 1>you what did you learn about where those people are actually? Like,

827
00:39:30.719 --> 00:39:33.119
<v Speaker 1>where is that information coming from? How are they running

828
00:39:33.159 --> 00:39:35.800
<v Speaker 1>into it in this crazy meatia ecosystem?

829
00:39:36.119 --> 00:39:36.559
<v Speaker 2>For sure?

830
00:39:36.679 --> 00:39:39.679
<v Speaker 3>So you know, I think it's that I like to

831
00:39:39.800 --> 00:39:42.079
<v Speaker 3>throw out and remind myself of every day, is that

832
00:39:42.119 --> 00:39:44.760
<v Speaker 3>fifty four percent of voters writ large are just not

833
00:39:44.920 --> 00:39:48.639
<v Speaker 3>paying attention to news at all. They're they're trying to

834
00:39:48.639 --> 00:39:52.360
<v Speaker 3>avoid it mostly, and so if they're not paying attention

835
00:39:52.639 --> 00:39:55.800
<v Speaker 3>to news, how are they experiencing politics? I think we

836
00:39:55.920 --> 00:39:58.400
<v Speaker 3>like to ask ourselves that question to really shape kind

837
00:39:58.400 --> 00:40:00.440
<v Speaker 3>of what are the campaigns that we're going to together

838
00:40:00.960 --> 00:40:01.599
<v Speaker 3>to reach them?

839
00:40:01.719 --> 00:40:04.320
<v Speaker 2>And you know, I think a lot of democratic.

840
00:40:03.760 --> 00:40:08.360
<v Speaker 3>Investment over the last couple of years has has focused

841
00:40:08.400 --> 00:40:12.000
<v Speaker 3>on how do we make the news sexier, easier to reach,

842
00:40:12.119 --> 00:40:16.719
<v Speaker 3>easier to access. There's nothing wrong with that endeavor, but

843
00:40:16.760 --> 00:40:18.519
<v Speaker 3>I think it's it's going to have its limits. If

844
00:40:18.519 --> 00:40:20.280
<v Speaker 3>there's just a if there's a swath of people that

845
00:40:20.360 --> 00:40:22.639
<v Speaker 3>just really don't want to payge to news at all,

846
00:40:22.960 --> 00:40:25.119
<v Speaker 3>and so we want to reach those voters, we have

847
00:40:25.159 --> 00:40:26.719
<v Speaker 3>to do it in a different way. We have to

848
00:40:26.719 --> 00:40:30.159
<v Speaker 3>have different cultural entry points. I think you hear Democrats

849
00:40:30.159 --> 00:40:32.159
<v Speaker 3>say a lot like we need to be culture first.

850
00:40:32.599 --> 00:40:34.480
<v Speaker 3>I'm frustrated that I don't actually feel like we have

851
00:40:34.519 --> 00:40:37.800
<v Speaker 3>a next step to that question. I've never actually heard adequate,

852
00:40:37.920 --> 00:40:40.679
<v Speaker 3>you know, ideas of what that looks like. And so

853
00:40:40.719 --> 00:40:42.760
<v Speaker 3>I think part of the research that parties has been

854
00:40:42.760 --> 00:40:45.800
<v Speaker 3>doing over the last two years is sparking ideas of

855
00:40:46.000 --> 00:40:49.239
<v Speaker 3>what does that actually look like in practice? Knowing that

856
00:40:49.920 --> 00:40:52.519
<v Speaker 3>beauty and fashion, true crime, parenting.

857
00:40:53.159 --> 00:40:55.920
<v Speaker 2>Those are three categories that are reaching a really.

858
00:40:55.760 --> 00:40:58.679
<v Speaker 3>Large set of voters who are both swingy and you know,

859
00:40:58.719 --> 00:41:01.360
<v Speaker 3>switch from party to party, but also don't pay attention

860
00:41:01.400 --> 00:41:03.320
<v Speaker 3>to the news. What would it look like for us

861
00:41:03.320 --> 00:41:06.320
<v Speaker 3>to create a campaign where we develop true crime content

862
00:41:06.719 --> 00:41:09.280
<v Speaker 3>and then use that content to like talk about Epstein

863
00:41:09.400 --> 00:41:12.599
<v Speaker 3>or whatever. It makes sense, Like it's about really using

864
00:41:12.840 --> 00:41:16.280
<v Speaker 3>you know, using this data to uncover those other kind

865
00:41:16.320 --> 00:41:19.159
<v Speaker 3>of non news oriented entry points for us to then

866
00:41:19.199 --> 00:41:22.400
<v Speaker 3>have conversations with people on their terms. Parenting is a

867
00:41:22.760 --> 00:41:25.719
<v Speaker 3>category that I think is like highly interesting and super

868
00:41:25.760 --> 00:41:28.000
<v Speaker 3>relevant to what we're talking about. What would it look

869
00:41:28.039 --> 00:41:30.960
<v Speaker 3>like for us to create a track of always on

870
00:41:31.000 --> 00:41:34.440
<v Speaker 3>communication that targets people based on the fact that they're parents,

871
00:41:34.760 --> 00:41:37.239
<v Speaker 3>that talks about issues that are you know, highly relevant

872
00:41:37.239 --> 00:41:39.639
<v Speaker 3>to parents. I think when we talk about you know,

873
00:41:39.679 --> 00:41:41.639
<v Speaker 3>the march to twenty twenty eight and the fact that

874
00:41:41.679 --> 00:41:43.920
<v Speaker 3>we're getting going early, that doesn't mean that we need

875
00:41:43.960 --> 00:41:46.280
<v Speaker 3>to be advertising all the time. We're trying to advertise

876
00:41:46.280 --> 00:41:49.719
<v Speaker 3>in moments that are highly relevant. Back to school great

877
00:41:49.760 --> 00:41:53.199
<v Speaker 3>opportunity to you know, talk to parents about about how

878
00:41:53.400 --> 00:41:57.159
<v Speaker 3>Trump's policies advanced policies reveals policies are personally impacting them.

879
00:41:57.199 --> 00:41:59.559
<v Speaker 3>I think our goal here is is to be relevant

880
00:41:59.599 --> 00:42:01.039
<v Speaker 3>and not necessarily always.

881
00:42:00.760 --> 00:42:04.119
<v Speaker 1>On when people are whether they're like they're interested in

882
00:42:04.199 --> 00:42:08.760
<v Speaker 1>true crime or gaming or fitness or whatever else. Like

883
00:42:09.679 --> 00:42:11.880
<v Speaker 1>where are those voters hanging out? Right, It's like we're

884
00:42:11.880 --> 00:42:14.119
<v Speaker 1>not in a world where they're going to true crime

885
00:42:14.159 --> 00:42:16.480
<v Speaker 1>dot com on the web to read about So it

886
00:42:16.519 --> 00:42:19.159
<v Speaker 1>was that they are in social media apps and they

887
00:42:19.159 --> 00:42:22.159
<v Speaker 1>have both followed and are being fed that sort of content,

888
00:42:22.360 --> 00:42:24.119
<v Speaker 1>you know, Like just I want to try to like

889
00:42:24.159 --> 00:42:27.159
<v Speaker 1>get a little granular about where these people are hanging out.

890
00:42:27.199 --> 00:42:30.960
<v Speaker 1>And I think why it's particularly relevant is, you know,

891
00:42:31.159 --> 00:42:33.039
<v Speaker 1>as we have been absent in these spaces. Obviously that's

892
00:42:33.039 --> 00:42:34.480
<v Speaker 1>why you're doing the work you're doing. But if you

893
00:42:34.519 --> 00:42:37.280
<v Speaker 1>look at like health and beauty for instance, or wellness

894
00:42:37.280 --> 00:42:39.559
<v Speaker 1>as a space, like we were absent. But it's some

895
00:42:39.760 --> 00:42:44.599
<v Speaker 1>course of time since you know, twenty sixteen, twenty twelve,

896
00:42:45.119 --> 00:42:48.360
<v Speaker 1>that category, which would have seemed demographical to be very

897
00:42:48.400 --> 00:42:51.079
<v Speaker 1>much ours, you know, a very you know, you know,

898
00:42:51.519 --> 00:42:56.000
<v Speaker 1>young mom, younger women category became like the birthplace of Maha.

899
00:42:56.000 --> 00:42:58.960
<v Speaker 1>So I'm just trying to understand, like where these people are,

900
00:42:59.000 --> 00:43:00.760
<v Speaker 1>like where they actually hang out when they say they're

901
00:43:00.760 --> 00:43:03.239
<v Speaker 1>like they're into fitness or true crime or whatever else.

902
00:43:03.639 --> 00:43:05.599
<v Speaker 3>Yeah, I mean a lot of this research is very

903
00:43:05.679 --> 00:43:08.079
<v Speaker 3>baked in YouTube, Like let's just name that. I think

904
00:43:08.360 --> 00:43:11.880
<v Speaker 3>there's priorities to spending a disproportionate amount of time and

905
00:43:11.920 --> 00:43:15.199
<v Speaker 3>money really trying to understand YouTube behavior because we know

906
00:43:15.239 --> 00:43:17.320
<v Speaker 3>how easy it is to just light money on fire

907
00:43:17.719 --> 00:43:20.239
<v Speaker 3>on that platform, and there's a ton of upside and

908
00:43:20.280 --> 00:43:23.440
<v Speaker 3>better understanding, you know, how people are using the platform.

909
00:43:23.719 --> 00:43:25.280
<v Speaker 3>Let me give you an example of a program that

910
00:43:25.320 --> 00:43:27.320
<v Speaker 3>we ran earlier this summer that I think will help

911
00:43:27.440 --> 00:43:28.519
<v Speaker 3>answer the questions.

912
00:43:28.639 --> 00:43:31.920
<v Speaker 2>So we from our research, as we talked about.

913
00:43:31.679 --> 00:43:35.639
<v Speaker 3>Young men super online super swing their swing voters, they

914
00:43:36.039 --> 00:43:38.880
<v Speaker 3>you know, swung from from Trump, away from Trump, away

915
00:43:38.880 --> 00:43:43.280
<v Speaker 3>from Biden in from twenty twenty to twenty twenty four.

916
00:43:44.039 --> 00:43:46.599
<v Speaker 3>From our research, we knew that young men are interested

917
00:43:46.679 --> 00:43:49.639
<v Speaker 3>in podcasts, finance, gaming, fitness.

918
00:43:50.039 --> 00:43:51.639
<v Speaker 2>I think those were the categories.

919
00:43:51.960 --> 00:43:53.800
<v Speaker 3>What our team did is we ran this campaign in

920
00:43:53.840 --> 00:43:57.519
<v Speaker 3>Ohio earlier this summer where all of the ads were

921
00:43:57.519 --> 00:44:02.440
<v Speaker 3>about John Housted, but the ads was highly relevant to

922
00:44:02.679 --> 00:44:04.920
<v Speaker 3>those categories that I just laid out. So you had

923
00:44:04.960 --> 00:44:08.159
<v Speaker 3>like a guy lifting weights talking about John Houston running,

924
00:44:08.280 --> 00:44:11.480
<v Speaker 3>you know, next to game to fitness content. You had

925
00:44:11.559 --> 00:44:15.559
<v Speaker 3>someone who was an actual gaming creator talk about same

926
00:44:15.599 --> 00:44:18.159
<v Speaker 3>topic in the context of you know, what a normal

927
00:44:18.239 --> 00:44:20.880
<v Speaker 3>kind of gaming piece of content on YouTube might look like.

928
00:44:22.360 --> 00:44:25.079
<v Speaker 3>Part of the theory here it's it was actually twofold.

929
00:44:25.159 --> 00:44:28.079
<v Speaker 3>It was one our ads should natively look like the

930
00:44:28.599 --> 00:44:32.920
<v Speaker 3>content that someone is otherwise watching on YouTube ads. Actually,

931
00:44:33.000 --> 00:44:35.599
<v Speaker 3>you know, in today's world, it's actually better for an

932
00:44:35.599 --> 00:44:37.800
<v Speaker 3>AD to blend in than to stand out. You kind

933
00:44:37.800 --> 00:44:40.480
<v Speaker 3>of want that nativity. There's there's benefit there, and I

934
00:44:40.480 --> 00:44:43.440
<v Speaker 3>think we had we had some research from previous cycles

935
00:44:43.440 --> 00:44:45.719
<v Speaker 3>that that proved to us that that was that was

936
00:44:45.760 --> 00:44:46.400
<v Speaker 3>a good theory.

937
00:44:47.119 --> 00:44:50.679
<v Speaker 2>But then also, I think more importantly, anyone on.

938
00:44:50.599 --> 00:44:53.639
<v Speaker 3>YouTube is kind of, especially a young man, is kind

939
00:44:53.719 --> 00:44:56.119
<v Speaker 3>of like two clicks away from right leaning content and

940
00:44:56.159 --> 00:44:58.880
<v Speaker 3>any given point, in part because of how much the

941
00:44:58.960 --> 00:45:01.360
<v Speaker 3>right has invested in and just like having an always

942
00:45:01.360 --> 00:45:04.119
<v Speaker 3>on content machine and being present in all the places

943
00:45:04.119 --> 00:45:07.199
<v Speaker 3>that we are not such that if you're watching fitness

944
00:45:07.239 --> 00:45:10.360
<v Speaker 3>content and then you skip past the next two videos,

945
00:45:10.400 --> 00:45:12.079
<v Speaker 3>you're probably going to be on a piece of content

946
00:45:12.159 --> 00:45:14.880
<v Speaker 3>that's a little bit Maha in nature. And so we

947
00:45:14.960 --> 00:45:18.159
<v Speaker 3>had run a campaign a couple of cycles ago where

948
00:45:18.360 --> 00:45:20.159
<v Speaker 3>we just had this theory of what would it look

949
00:45:20.239 --> 00:45:22.440
<v Speaker 3>like to just run ads on the most right leaning

950
00:45:22.480 --> 00:45:25.400
<v Speaker 3>content that exists and see what kind of persuasion effect

951
00:45:25.440 --> 00:45:28.360
<v Speaker 3>we can have, assuming that just because someone's on Breitbart

952
00:45:28.440 --> 00:45:30.480
<v Speaker 3>doesn't mean they probably chose to be there. They may

953
00:45:30.519 --> 00:45:33.400
<v Speaker 3>have just ended up there because of the algorithms, and

954
00:45:33.559 --> 00:45:35.800
<v Speaker 3>our theory proved out like we were able to keep,

955
00:45:35.920 --> 00:45:38.039
<v Speaker 3>you know, retain these voters at a pretty high rate

956
00:45:38.760 --> 00:45:41.480
<v Speaker 3>just by running positive pre roll ads before someone you know,

957
00:45:41.679 --> 00:45:44.039
<v Speaker 3>was watching that brightbart content. And so the team was

958
00:45:44.079 --> 00:45:45.760
<v Speaker 3>kind of like, how do we do this in a

959
00:45:45.800 --> 00:45:50.679
<v Speaker 3>slightly more expanded way, not necessarily explicitly right wing, but

960
00:45:50.760 --> 00:45:54.199
<v Speaker 3>these kind of right leaning places that you might not

961
00:45:54.440 --> 00:45:58.159
<v Speaker 3>you know, expect on on the front end. So those

962
00:45:58.199 --> 00:46:00.199
<v Speaker 3>those five categories are the ones that the team kind

963
00:46:00.199 --> 00:46:04.639
<v Speaker 3>of proposed as let's interrupt these let's interrupt this user's

964
00:46:04.679 --> 00:46:07.400
<v Speaker 3>journey with ads and see what happens. And the theory

965
00:46:07.440 --> 00:46:10.559
<v Speaker 3>proved out right like we were able to effectively you know,

966
00:46:10.719 --> 00:46:13.480
<v Speaker 3>stop from once from you know, getting to that right

967
00:46:13.559 --> 00:46:16.199
<v Speaker 3>leaning content. A lot of the times someone was like

968
00:46:16.239 --> 00:46:18.599
<v Speaker 3>opening up a new tab on Google and searching for

969
00:46:18.639 --> 00:46:21.599
<v Speaker 3>more information about John Houston, which you know, it did

970
00:46:21.639 --> 00:46:25.199
<v Speaker 3>the job of interrupting that that person's flow. So anyway,

971
00:46:25.239 --> 00:46:27.800
<v Speaker 3>all of that to say, I think we are disproportionately

972
00:46:27.840 --> 00:46:30.239
<v Speaker 3>spending a lot of time thinking about how to find

973
00:46:30.239 --> 00:46:33.320
<v Speaker 3>people on YouTube, in particular, just because it is such

974
00:46:33.360 --> 00:46:37.559
<v Speaker 3>a it's a high it's a high density, very efficient

975
00:46:37.559 --> 00:46:39.760
<v Speaker 3>place to reach people, but it's a very easy place

976
00:46:39.800 --> 00:46:42.920
<v Speaker 3>to to.

977
00:46:40.480 --> 00:46:42.280
<v Speaker 2>To burn money.

978
00:46:43.199 --> 00:46:45.280
<v Speaker 1>And it's important to note that we talked about TikTok

979
00:46:45.320 --> 00:46:47.239
<v Speaker 1>all the time, but at last I checked, you still

980
00:46:47.280 --> 00:46:48.920
<v Speaker 1>cannot run political ads on TikTok.

981
00:46:48.960 --> 00:46:51.639
<v Speaker 2>Correct, You cannot run political ads on TikTok.

982
00:46:51.679 --> 00:46:54.440
<v Speaker 1>That is true, yes, And so it's just out there

983
00:46:54.480 --> 00:46:57.480
<v Speaker 1>destroying the world that we can't intervene.

984
00:46:57.719 --> 00:47:00.599
<v Speaker 3>There's certainly interventions that you can you can do that

985
00:47:00.639 --> 00:47:04.559
<v Speaker 3>are not you know, explicitly renting attention. Was that I

986
00:47:04.920 --> 00:47:07.280
<v Speaker 3>liked my like nerdy way to talk about advertising, as

987
00:47:07.320 --> 00:47:11.519
<v Speaker 3>you're you're renting someone's attention. We can earn attention on TikTok,

988
00:47:11.599 --> 00:47:13.440
<v Speaker 3>but it's not something that we're going to be able to,

989
00:47:13.519 --> 00:47:14.760
<v Speaker 3>you know, get in a short window.

990
00:47:16.480 --> 00:47:18.519
<v Speaker 1>Let's talk a little bit about AI chatbots because in

991
00:47:18.559 --> 00:47:20.719
<v Speaker 1>your survey I saw that just about half of voters

992
00:47:20.760 --> 00:47:24.599
<v Speaker 1>are using an AI chatbot once a week. And you know,

993
00:47:24.639 --> 00:47:28.719
<v Speaker 1>obviously Google is still king you pointed that out, but

994
00:47:29.320 --> 00:47:31.199
<v Speaker 1>even Google is changing in the way a lot of

995
00:47:31.199 --> 00:47:33.400
<v Speaker 1>people are getting their search results because they are coming

996
00:47:33.440 --> 00:47:37.119
<v Speaker 1>in these AI summaries, which is interrupting the search ads

997
00:47:37.159 --> 00:47:41.079
<v Speaker 1>that we've been spending gazillion dollars on for decades. And

998
00:47:41.239 --> 00:47:44.960
<v Speaker 1>but so as we think as AI chatbots grow as

999
00:47:45.000 --> 00:47:49.480
<v Speaker 1>a search engine for people, how should democrats be thinking

1000
00:47:49.679 --> 00:47:54.519
<v Speaker 1>about influencing those results? Like, we had a playbook, We

1001
00:47:54.559 --> 00:47:58.599
<v Speaker 1>had a both a. We had a advertising playbook for

1002
00:47:58.679 --> 00:48:02.800
<v Speaker 1>Google Search and we had an organic search SEO playbook

1003
00:48:02.800 --> 00:48:04.760
<v Speaker 1>for how to get our content near the top of

1004
00:48:04.760 --> 00:48:07.480
<v Speaker 1>the results. What the hell do you do when it's

1005
00:48:08.079 --> 00:48:11.519
<v Speaker 1>you know, a handful of very different, very independent AI

1006
00:48:11.599 --> 00:48:12.639
<v Speaker 1>chat bots.

1007
00:48:13.039 --> 00:48:15.519
<v Speaker 3>Yeah, first of all, there's a lot of really smart

1008
00:48:15.519 --> 00:48:17.920
<v Speaker 3>people who are tackling this head on. I think the

1009
00:48:17.960 --> 00:48:21.639
<v Speaker 3>folks that run for something coccai are thinking really extensively

1010
00:48:21.679 --> 00:48:25.400
<v Speaker 3>about how do you a understand and then be manipulate

1011
00:48:26.199 --> 00:48:28.880
<v Speaker 3>a chat bot result. It's really you know, AEO is

1012
00:48:28.880 --> 00:48:30.920
<v Speaker 3>just se O two point oh right, it's just understand

1013
00:48:31.239 --> 00:48:33.559
<v Speaker 3>what is just so people know, Yeah, it stands for

1014
00:48:33.719 --> 00:48:37.159
<v Speaker 3>answer engine optimization, and it's basically, what how do you

1015
00:48:37.239 --> 00:48:40.320
<v Speaker 3>manipulate what is going to show up in a chatbot result.

1016
00:48:41.280 --> 00:48:43.239
<v Speaker 3>There's a lot of really smart people out there who

1017
00:48:43.320 --> 00:48:46.719
<v Speaker 3>are thinking about, how do you, you know, understand what's

1018
00:48:46.760 --> 00:48:48.280
<v Speaker 3>showing up in a chatbot result?

1019
00:48:48.280 --> 00:48:50.239
<v Speaker 2>And then be how do you actually, you know, change it?

1020
00:48:50.559 --> 00:48:52.159
<v Speaker 2>You change it by updating your website.

1021
00:48:52.199 --> 00:48:54.599
<v Speaker 3>You change it by pitching stories to the AP, You're

1022
00:48:55.239 --> 00:48:57.440
<v Speaker 3>posting shit on Reddit because that's a place that's often

1023
00:48:57.480 --> 00:48:58.159
<v Speaker 3>getting picked.

1024
00:48:58.039 --> 00:48:59.239
<v Speaker 2>Up by by chat bots.

1025
00:49:00.559 --> 00:49:03.239
<v Speaker 3>All of this is going to change incredibly fast, and

1026
00:49:03.480 --> 00:49:05.639
<v Speaker 3>anyone who is kind of going out there with best

1027
00:49:05.679 --> 00:49:09.559
<v Speaker 3>practices today, the best practices are going to change two

1028
00:49:09.599 --> 00:49:11.880
<v Speaker 3>months from now, six months from now. And so I

1029
00:49:11.920 --> 00:49:15.199
<v Speaker 3>think it does require a lot of urgency and a

1030
00:49:15.239 --> 00:49:19.559
<v Speaker 3>shift in conversation across our party that if we always

1031
00:49:19.599 --> 00:49:22.480
<v Speaker 3>had to invest in digital infrastructure, now is the time

1032
00:49:22.599 --> 00:49:26.679
<v Speaker 3>to like double triple, quadruple down on that effort for

1033
00:49:26.880 --> 00:49:29.519
<v Speaker 3>us to like really understand how quickly the Internet is changing,

1034
00:49:29.840 --> 00:49:32.719
<v Speaker 3>like we have to be investing in innovation to make

1035
00:49:32.760 --> 00:49:34.639
<v Speaker 3>sure that we're able to stay on top of these trends.

1036
00:49:35.039 --> 00:49:37.559
<v Speaker 3>I think the work that Priorities is doing, though, in

1037
00:49:37.679 --> 00:49:40.760
<v Speaker 3>the kind of chatbot space beyond just you know, understanding

1038
00:49:40.800 --> 00:49:43.760
<v Speaker 3>what a result is, an understanding how you might manipulate

1039
00:49:43.840 --> 00:49:47.039
<v Speaker 3>that result, is really understanding when and why are people

1040
00:49:47.119 --> 00:49:49.920
<v Speaker 3>turning to chatbots, what is the kind of driver of

1041
00:49:50.199 --> 00:49:52.559
<v Speaker 3>why someone's using it, and how does that, you know,

1042
00:49:52.960 --> 00:49:56.960
<v Speaker 3>change how we should be thinking about intervening and better

1043
00:49:57.079 --> 00:49:59.800
<v Speaker 3>understanding their their media journey. And so I think, you know,

1044
00:50:00.079 --> 00:50:03.000
<v Speaker 3>the result the research that we did over the summer

1045
00:50:03.039 --> 00:50:06.719
<v Speaker 3>I think was highly It was incredibly helpful at uncovering

1046
00:50:06.840 --> 00:50:10.760
<v Speaker 3>that people are not necessarily searching for information about a

1047
00:50:10.840 --> 00:50:13.320
<v Speaker 3>candidate as much as they are searching for information about

1048
00:50:13.400 --> 00:50:17.159
<v Speaker 3>policies and issues in a much more granular way. You know,

1049
00:50:17.239 --> 00:50:20.039
<v Speaker 3>I think, as you know, Ai Con, I don't know

1050
00:50:20.119 --> 00:50:22.320
<v Speaker 3>if you feel this personally, but I think as I'm

1051
00:50:22.400 --> 00:50:25.719
<v Speaker 3>you know, scrolling TikTok and on YouTube and seeing content

1052
00:50:25.800 --> 00:50:28.119
<v Speaker 3>in my feed that feels a little like is this real?

1053
00:50:28.320 --> 00:50:31.800
<v Speaker 3>Is this not like I am personally opening up JGBT

1054
00:50:32.280 --> 00:50:34.280
<v Speaker 3>claude and saying, hey, can you fact check this for me?

1055
00:50:35.039 --> 00:50:37.280
<v Speaker 3>There's a I think a ton of it almost feels

1056
00:50:37.320 --> 00:50:39.440
<v Speaker 3>like the Spider Man meme. Where we're because of the

1057
00:50:39.639 --> 00:50:42.360
<v Speaker 3>insurgence of AI. People are using AI to check if

1058
00:50:42.400 --> 00:50:43.000
<v Speaker 3>things are AI.

1059
00:50:44.199 --> 00:50:46.400
<v Speaker 1>It's it doesn't seem great for the world, but yes,

1060
00:50:46.440 --> 00:50:47.039
<v Speaker 1>that's where we are.

1061
00:50:55.719 --> 00:50:58.440
<v Speaker 6>Good Dave America is brought to you by Helix. I

1062
00:50:58.559 --> 00:51:01.039
<v Speaker 6>love my heats mattress. I have a dawn Lux I took.

1063
00:51:01.079 --> 00:51:04.000
<v Speaker 6>I actually took the quiz because I am a stomach sleeper.

1064
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<v Speaker 6>I'm trying to become a side sleeper and kind of rotating.

1065
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<v Speaker 6>But I love the bed. It's really comfortable. It helps

1066
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1069
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1073
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1074
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1075
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1076
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1077
00:51:37.880 --> 00:51:39.119
<v Speaker 1>So, as I said, I have it.

1078
00:51:39.159 --> 00:51:39.800
<v Speaker 6>I think it's great.

1079
00:51:39.840 --> 00:51:40.679
<v Speaker 5>It's so nice knowing it.

1080
00:51:40.760 --> 00:51:42.239
<v Speaker 6>Like at the end of the day, you know, right

1081
00:51:42.280 --> 00:51:45.840
<v Speaker 6>before bed, you get into super comfortable Helix mattress throwing

1082
00:51:45.880 --> 00:51:48.199
<v Speaker 6>a streaming show. You know, I'm watching Furious.

1083
00:51:48.519 --> 00:51:49.559
<v Speaker 5>Yeah, it's awesome.

1084
00:51:50.039 --> 00:51:51.400
<v Speaker 6>It's a great crime drama.

1085
00:51:52.159 --> 00:51:53.440
<v Speaker 1>You know, this is not an ad for that, but.

1086
00:51:53.440 --> 00:51:55.280
<v Speaker 6>You should check that out too. Hey, everybody get a

1087
00:51:55.320 --> 00:51:59.079
<v Speaker 6>Helix mattress, get comfortable, watch Furious on Disney Plus. You know.

1088
00:51:59.400 --> 00:52:01.159
<v Speaker 6>But I just think it's a greattress and should get one.

1089
00:52:01.159 --> 00:52:02.960
<v Speaker 6>He loiks sleep dot com slash cricket for twenty seven

1090
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00:52:05.599 --> 00:52:08.400
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1093
00:52:17.559 --> 00:52:19.159
<v Speaker 1>We're in the MIDI twenty twenty sixth section. You guys

1094
00:52:19.159 --> 00:52:23.360
<v Speaker 1>are focused on, among other things, trying to define the

1095
00:52:23.440 --> 00:52:27.679
<v Speaker 1>twenty twenty eight potential nominees, most notably Jade Vans and

1096
00:52:27.719 --> 00:52:31.360
<v Speaker 1>Marco Rubio. Talk to me about why start that process now?

1097
00:52:32.480 --> 00:52:33.480
<v Speaker 2>Yeah, absolutely so.

1098
00:52:33.679 --> 00:52:36.760
<v Speaker 3>I've been working at a superPAC for almost a decade now,

1099
00:52:36.800 --> 00:52:39.440
<v Speaker 3>which is crazy, and I am very much of the

1100
00:52:39.519 --> 00:52:43.400
<v Speaker 3>opinion that the way that our party uses superpacks is

1101
00:52:43.800 --> 00:52:46.920
<v Speaker 3>outdated and not to the maximum that we can and

1102
00:52:47.000 --> 00:52:49.760
<v Speaker 3>certainly not to the maximum that Republicans do. And the

1103
00:52:49.800 --> 00:52:52.199
<v Speaker 3>way I would describe that as quite simple. I think,

1104
00:52:52.360 --> 00:52:54.800
<v Speaker 3>as much as this role of a superpack is to

1105
00:52:55.000 --> 00:52:57.679
<v Speaker 3>raise money that a campaign cannot raise, aka we are

1106
00:52:57.719 --> 00:53:00.719
<v Speaker 3>able to raise beyond the contribution limit that campaign has,

1107
00:53:01.400 --> 00:53:04.599
<v Speaker 3>we also have time that a campaign doesn't have, and

1108
00:53:04.679 --> 00:53:07.599
<v Speaker 3>I think really leaning into that time element is a

1109
00:53:07.679 --> 00:53:11.679
<v Speaker 3>thing that I feel really important as the role that

1110
00:53:11.719 --> 00:53:13.960
<v Speaker 3>a super pac can can play in today's world. And

1111
00:53:14.039 --> 00:53:16.159
<v Speaker 3>so I I think in the aftermath of twenty twenty four,

1112
00:53:16.559 --> 00:53:18.800
<v Speaker 3>when we're sitting around asking ourselves, why the hell did

1113
00:53:18.840 --> 00:53:20.519
<v Speaker 3>we just lose that election and what can we do

1114
00:53:20.639 --> 00:53:23.239
<v Speaker 3>differently next time, our team got to work on a

1115
00:53:23.280 --> 00:53:26.840
<v Speaker 3>couple of things including, you know, at a high level,

1116
00:53:27.960 --> 00:53:30.199
<v Speaker 3>how can we do a better job of listening to

1117
00:53:30.280 --> 00:53:33.920
<v Speaker 3>the internet to be able to drive decision making. We

1118
00:53:33.960 --> 00:53:36.239
<v Speaker 3>can talk about polling and all the reasons why polling

1119
00:53:36.320 --> 00:53:38.519
<v Speaker 3>is flawed, but you know, priorities is very much of

1120
00:53:38.599 --> 00:53:41.840
<v Speaker 3>the opinion that with the you know, availability of AI,

1121
00:53:42.840 --> 00:53:46.360
<v Speaker 3>we can we can observe qualitative data at such a

1122
00:53:46.440 --> 00:53:49.400
<v Speaker 3>larger scale in today's world that we might as well

1123
00:53:49.639 --> 00:53:52.199
<v Speaker 3>lean into it. It's exactly how the Republicans are making

1124
00:53:52.239 --> 00:53:54.599
<v Speaker 3>their decisions, right Like we like to look at the

1125
00:53:54.679 --> 00:53:57.039
<v Speaker 3>Kamma is for they them AD, I think is a

1126
00:53:57.079 --> 00:54:00.960
<v Speaker 3>perfect example of how the Republicans said that has likes

1127
00:54:01.039 --> 00:54:03.760
<v Speaker 3>to it, it's sticky, it's doing really well online, let's

1128
00:54:03.760 --> 00:54:06.400
<v Speaker 3>put money behind it, Whereas on the Democratic side we

1129
00:54:06.679 --> 00:54:08.440
<v Speaker 3>have to like let an AD go through an entire

1130
00:54:08.559 --> 00:54:12.159
<v Speaker 3>polling brigamarole in order to take it seriously. Anyway, all

1131
00:54:12.199 --> 00:54:14.159
<v Speaker 3>of that to say, priorities got to work after twenty

1132
00:54:14.280 --> 00:54:16.599
<v Speaker 3>twenty four to build a tech stack and do research

1133
00:54:16.679 --> 00:54:19.760
<v Speaker 3>to really understand how can we be leaning into listening

1134
00:54:19.800 --> 00:54:21.840
<v Speaker 3>to the internet to understand what's going to resonate and

1135
00:54:21.880 --> 00:54:24.960
<v Speaker 3>what's going to break through. At the same time, you know,

1136
00:54:25.320 --> 00:54:28.159
<v Speaker 3>we recognize that the march to twenty twenty eight is

1137
00:54:28.320 --> 00:54:31.880
<v Speaker 3>going to be long, and it's going to include a lot.

1138
00:54:31.840 --> 00:54:33.079
<v Speaker 2>Of Democrats fighting each other.

1139
00:54:33.119 --> 00:54:35.679
<v Speaker 3>I think if this summer was indicative of anything, it's

1140
00:54:35.719 --> 00:54:40.000
<v Speaker 3>that primaries are challenging and they can be really helpful,

1141
00:54:40.119 --> 00:54:44.320
<v Speaker 3>but ultimately they're tough, and we are about we're about

1142
00:54:44.360 --> 00:54:46.119
<v Speaker 3>to face that on a level that is going to

1143
00:54:46.119 --> 00:54:46.800
<v Speaker 3>be different than what we.

1144
00:54:46.920 --> 00:54:50.199
<v Speaker 2>Just experienced over the summer. And I'm really worried that

1145
00:54:50.679 --> 00:54:51.519
<v Speaker 2>our party.

1146
00:54:51.280 --> 00:54:54.920
<v Speaker 3>Has not been you know, we have not gone through

1147
00:54:55.000 --> 00:54:57.440
<v Speaker 3>an election without Trump on the ballot in quite some time.

1148
00:54:57.920 --> 00:55:00.559
<v Speaker 3>I think our muscle memory there is quite We're going

1149
00:55:00.599 --> 00:55:02.760
<v Speaker 3>to be running against someone new no matter what happens,

1150
00:55:03.639 --> 00:55:05.280
<v Speaker 3>and the Democrats are going to be fighting each other.

1151
00:55:05.400 --> 00:55:07.360
<v Speaker 3>So the team at Priorities was like, what can we

1152
00:55:07.480 --> 00:55:10.039
<v Speaker 3>do to be the most value ad heading into twenty

1153
00:55:10.079 --> 00:55:12.320
<v Speaker 3>eight Let's get going now, Let's actually start to think

1154
00:55:12.360 --> 00:55:15.360
<v Speaker 3>about what it looks like to define our eventual opposition

1155
00:55:15.920 --> 00:55:18.199
<v Speaker 3>so that by the time we have a nominee, they

1156
00:55:18.280 --> 00:55:20.920
<v Speaker 3>have a slightly less uphill climb to be able to

1157
00:55:21.440 --> 00:55:25.159
<v Speaker 3>go after and you know, compare theirselves to the Republican.

1158
00:55:25.360 --> 00:55:27.800
<v Speaker 3>So that's the work of Prologue. We're really excited about it.

1159
00:55:27.880 --> 00:55:30.400
<v Speaker 3>Our tech stack all feeds into kind of what we're doing.

1160
00:55:30.480 --> 00:55:32.800
<v Speaker 3>It's not going to look like a traditional advertising campaign.

1161
00:55:33.159 --> 00:55:34.679
<v Speaker 3>It's going to be always on, but that doesn't mean

1162
00:55:34.719 --> 00:55:36.440
<v Speaker 3>we're all on all the time. And we have a

1163
00:55:36.519 --> 00:55:39.360
<v Speaker 3>million ideas that we're excited to dive into.

1164
00:55:40.119 --> 00:55:45.760
<v Speaker 1>So the I am in after twenty seventeen, sorry, after

1165
00:55:45.800 --> 00:55:49.519
<v Speaker 1>twenty sixteen. In twenty seventeen, one of my strong views

1166
00:55:49.719 --> 00:55:51.679
<v Speaker 1>was that we should take a lot of the money

1167
00:55:51.719 --> 00:55:55.400
<v Speaker 1>that was flowing into democratic politics and make of Trump

1168
00:55:55.920 --> 00:55:59.440
<v Speaker 1>and be always right into like not as you say,

1169
00:55:59.480 --> 00:56:01.599
<v Speaker 1>not always on like we're going to run ads for

1170
00:56:01.719 --> 00:56:05.280
<v Speaker 1>the rest of time, but in moments, high leverage moments,

1171
00:56:05.320 --> 00:56:09.960
<v Speaker 1>you would run advertising to shape that impression, to shape

1172
00:56:09.960 --> 00:56:12.119
<v Speaker 1>that moment where people paying attention in their minds in

1173
00:56:12.199 --> 00:56:15.199
<v Speaker 1>our favor. And I was I liked that idea because

1174
00:56:15.239 --> 00:56:18.599
<v Speaker 1>I believed correctly. I think that we were just so

1175
00:56:18.719 --> 00:56:21.719
<v Speaker 1>outgunned in the media space that we were competing with Trump,

1176
00:56:21.800 --> 00:56:23.719
<v Speaker 1>being with Fox News, being with Facebook at the time,

1177
00:56:23.840 --> 00:56:26.199
<v Speaker 1>this is this very powerful entity that was a sort

1178
00:56:26.239 --> 00:56:31.239
<v Speaker 1>of conduit for MAGA adjacent messaging, like we needed to,

1179
00:56:31.639 --> 00:56:34.840
<v Speaker 1>you know, put some like messaging thrust behind the things

1180
00:56:34.880 --> 00:56:37.280
<v Speaker 1>that happening. I went around, I sold this lots of people,

1181
00:56:37.360 --> 00:56:39.079
<v Speaker 1>and the thing that everyone came back to me to

1182
00:56:39.159 --> 00:56:43.719
<v Speaker 1>say was and smart people was there is no evidence

1183
00:56:43.800 --> 00:56:46.559
<v Speaker 1>that early ads work. And then you're basically recommending that

1184
00:56:46.599 --> 00:56:50.880
<v Speaker 1>we were lighting money on fire. I was never fully

1185
00:56:50.920 --> 00:56:52.320
<v Speaker 1>convinced of that, but I also was in capble of

1186
00:56:52.320 --> 00:56:54.320
<v Speaker 1>convincing the people who said that to do something different.

1187
00:56:54.840 --> 00:56:57.480
<v Speaker 2>What is your response to that, I mean, does that

1188
00:56:57.639 --> 00:56:58.599
<v Speaker 2>logically make sense?

1189
00:56:59.039 --> 00:57:01.239
<v Speaker 1>It doesn't make sense? Well, I mean there's they will

1190
00:57:01.280 --> 00:57:05.199
<v Speaker 1>throw a bunch of political science research issue that people

1191
00:57:05.239 --> 00:57:07.719
<v Speaker 1>have very short memories or are not paying attention at

1192
00:57:07.760 --> 00:57:10.119
<v Speaker 1>the time, and so it doesn't the impressions are not

1193
00:57:10.239 --> 00:57:11.199
<v Speaker 1>worth the money, I guess.

1194
00:57:11.599 --> 00:57:14.559
<v Speaker 3>I mean, research also didn't show that smoking caused cancer

1195
00:57:14.880 --> 00:57:20.119
<v Speaker 3>until recently. No, I just I think that I really

1196
00:57:20.199 --> 00:57:22.679
<v Speaker 3>appreciate the folks in the academic space for pushing us

1197
00:57:22.760 --> 00:57:25.519
<v Speaker 3>to be rigorous. But at the end of the day,

1198
00:57:25.800 --> 00:57:29.960
<v Speaker 3>like I think it's really important to name that political

1199
00:57:30.000 --> 00:57:32.159
<v Speaker 3>advertisers and what we were trying to do when we

1200
00:57:32.239 --> 00:57:35.320
<v Speaker 3>are trying to win elections is fundamentally different than any

1201
00:57:35.480 --> 00:57:39.400
<v Speaker 3>other you know, communication challenge, marketing challenge.

1202
00:57:39.280 --> 00:57:41.119
<v Speaker 2>In the broader world.

1203
00:57:41.320 --> 00:57:43.440
<v Speaker 3>Right at the end of the day, Not to bring

1204
00:57:43.559 --> 00:57:45.760
<v Speaker 3>Nike back into it, but like Nike spends millions of

1205
00:57:45.840 --> 00:57:47.840
<v Speaker 3>dollars a year to think they're a really cool brand.

1206
00:57:48.079 --> 00:57:50.559
<v Speaker 3>They run ads up around every sporting event to make

1207
00:57:50.599 --> 00:57:53.400
<v Speaker 3>you like them, but ultimately they're trying to sell you shoes,

1208
00:57:53.480 --> 00:57:55.960
<v Speaker 3>and they get to use shoe sales as a proxy

1209
00:57:56.440 --> 00:57:58.519
<v Speaker 3>for whether they're just do it ads are working or not.

1210
00:57:59.079 --> 00:57:59.760
<v Speaker 2>We don't have that.

1211
00:58:00.039 --> 00:58:03.000
<v Speaker 3>We do not have proxies that we get to use

1212
00:58:03.079 --> 00:58:06.280
<v Speaker 3>to understand whether someone's mind is being changed. Right, Like,

1213
00:58:06.639 --> 00:58:09.039
<v Speaker 3>that's why surveys are you know, we invest so much

1214
00:58:09.079 --> 00:58:11.239
<v Speaker 3>in surveys because it's the it's the closest we can

1215
00:58:11.360 --> 00:58:14.000
<v Speaker 3>get to be able to get being able to ask someone.

1216
00:58:13.920 --> 00:58:16.400
<v Speaker 2>Were you persuaded by this? Did we did we sell

1217
00:58:16.440 --> 00:58:17.000
<v Speaker 2>you the shoe?

1218
00:58:18.119 --> 00:58:21.559
<v Speaker 3>And you know that I've spent a huge chunk of

1219
00:58:21.599 --> 00:58:23.599
<v Speaker 3>my career trying to get to a point where we

1220
00:58:23.679 --> 00:58:25.760
<v Speaker 3>can like zero in and understand how to you know,

1221
00:58:25.880 --> 00:58:29.159
<v Speaker 3>properly measure a persuasion effect. And it is it is

1222
00:58:29.239 --> 00:58:32.280
<v Speaker 3>quite challenging, and it is probably the hardest thing that

1223
00:58:32.360 --> 00:58:36.320
<v Speaker 3>I've had to you know, face in my career. But

1224
00:58:36.440 --> 00:58:40.920
<v Speaker 3>the reality is, you know, the Republicans are investing close

1225
00:58:40.960 --> 00:58:44.159
<v Speaker 3>to a billion dollars over the last decade in always

1226
00:58:44.199 --> 00:58:47.039
<v Speaker 3>on infrastructure and communication, and I think it is quite

1227
00:58:47.079 --> 00:58:48.599
<v Speaker 3>obvious that it has paid off.

1228
00:58:48.719 --> 00:58:50.960
<v Speaker 2>Right you look at you know, the example I like

1229
00:58:51.039 --> 00:58:53.119
<v Speaker 2>to give is Trump.

1230
00:58:53.480 --> 00:58:56.199
<v Speaker 3>After the shooting, you know, within an hour he had

1231
00:58:56.320 --> 00:58:59.239
<v Speaker 3>people on the internet talking about the ballroom and how

1232
00:58:59.280 --> 00:59:01.840
<v Speaker 3>the shootings has the hated that the need to build

1233
00:59:01.840 --> 00:59:05.960
<v Speaker 3>a ballroom. We don't have that amplification you know program

1234
00:59:06.079 --> 00:59:07.440
<v Speaker 3>on our site. There's a lot of folks that are

1235
00:59:07.480 --> 00:59:09.639
<v Speaker 3>working really hard to build it. But it just shows

1236
00:59:09.760 --> 00:59:14.480
<v Speaker 3>the long term payoff of what always on infrastructure looks like. Meanwhile,

1237
00:59:14.559 --> 00:59:17.119
<v Speaker 3>you know, Democrats sit around and our amplification is like

1238
00:59:17.199 --> 00:59:19.599
<v Speaker 3>crossing your fingers in toe hoping for a retweet from

1239
00:59:19.639 --> 00:59:22.119
<v Speaker 3>Barack Obama. If you want to look at that and

1240
00:59:22.280 --> 00:59:26.239
<v Speaker 3>say that our situation is work is better, I just

1241
00:59:26.280 --> 00:59:28.280
<v Speaker 3>don't buy that. I think that's at the end of

1242
00:59:28.280 --> 00:59:30.519
<v Speaker 3>the day, like our and science have to have to

1243
00:59:30.599 --> 00:59:32.679
<v Speaker 3>come into play, and we have to be able to

1244
00:59:32.800 --> 00:59:35.239
<v Speaker 3>use our judgment and be able to say that, you know,

1245
00:59:35.559 --> 00:59:39.840
<v Speaker 3>always on communication it has to matter, right, like we

1246
00:59:40.079 --> 00:59:41.639
<v Speaker 3>can see it playing out in front of our eyes.

1247
00:59:42.360 --> 00:59:44.639
<v Speaker 3>But I think a critical reason that we are doing

1248
00:59:44.719 --> 00:59:49.400
<v Speaker 3>things differently, and I empathize with the criticism of always

1249
00:59:49.480 --> 00:59:51.840
<v Speaker 3>on and that sometimes you can look at the way

1250
00:59:51.880 --> 00:59:53.960
<v Speaker 3>it plays out in a budget and just think, well,

1251
00:59:54.000 --> 00:59:55.679
<v Speaker 3>there's no way in home we can afford that you

1252
00:59:55.760 --> 00:59:58.679
<v Speaker 3>can't afford to like be at the impression levels.

1253
00:59:58.960 --> 01:00:00.519
<v Speaker 2>Now that we would want to be, yeah, in the

1254
01:00:00.599 --> 01:00:03.360
<v Speaker 2>fall of twenty twenty eight. But that's why the.

1255
01:00:03.400 --> 01:00:07.400
<v Speaker 3>Priorities approach of really using behavioral targeting as an entry

1256
01:00:07.480 --> 01:00:11.159
<v Speaker 3>point to have these conversations is I'm so excited about

1257
01:00:11.199 --> 01:00:13.079
<v Speaker 3>this program because it's the first time that I've really

1258
01:00:13.119 --> 01:00:15.760
<v Speaker 3>looked at a program through the lens of how do

1259
01:00:15.880 --> 01:00:19.039
<v Speaker 3>we reach people not necessarily during a time when they're

1260
01:00:19.079 --> 01:00:21.440
<v Speaker 3>registering to vote or when news is breaking, kind of

1261
01:00:21.480 --> 01:00:24.440
<v Speaker 3>those natural political moments, but instead during the moments of

1262
01:00:25.119 --> 01:00:27.679
<v Speaker 3>case I'm googling whether my lettuce is safe, Like, that's

1263
01:00:27.719 --> 01:00:29.599
<v Speaker 3>the perfect time to have a political conversation.

1264
01:00:29.840 --> 01:00:31.280
<v Speaker 2>It doesn't mean we're going to be on all the time.

1265
01:00:31.360 --> 01:00:33.639
<v Speaker 3>In fact, we're not on right now, but like the

1266
01:00:33.760 --> 01:00:37.199
<v Speaker 3>next time something you know, politically relevant happens, you'll.

1267
01:00:37.000 --> 01:00:37.679
<v Speaker 2>See us go up.

1268
01:00:38.440 --> 01:00:39.760
<v Speaker 1>All right, I'm going to look at some of your

1269
01:00:39.800 --> 01:00:43.000
<v Speaker 1>ads because they are they look nothing like a typical

1270
01:00:43.519 --> 01:00:44.360
<v Speaker 1>democratic ad.

1271
01:00:44.880 --> 01:00:45.119
<v Speaker 5>Love it.

1272
01:00:45.360 --> 01:00:50.039
<v Speaker 1>Let's start with one about jd Vance. Let's plan it. Hi,

1273
01:00:50.239 --> 01:00:52.199
<v Speaker 1>I'm jd Vance as Vice president.

1274
01:00:52.360 --> 01:00:54.800
<v Speaker 6>I cast the time breaking vote to cut your healthcare

1275
01:00:55.000 --> 01:00:58.760
<v Speaker 6>and I've been helping our great leader create tremendous wealth,

1276
01:00:59.400 --> 01:01:00.840
<v Speaker 6>which has been trickling.

1277
01:01:00.519 --> 01:01:02.960
<v Speaker 7>Down to you.

1278
01:01:03.599 --> 01:01:06.760
<v Speaker 6>Rome wasn't built in a day, of course, but ultimately

1279
01:01:07.000 --> 01:01:09.519
<v Speaker 6>you're gonna feel the benefits and you're medicating.

1280
01:01:10.039 --> 01:01:12.800
<v Speaker 1>Don't worry, that's just in material minute show.

1281
01:01:12.840 --> 01:01:15.760
<v Speaker 2>Anyway, get back to work. You're almost like your second job.

1282
01:01:15.800 --> 01:01:17.920
<v Speaker 1>And President Trump and I have to get back to

1283
01:01:18.000 --> 01:01:22.519
<v Speaker 1>redecorate it. Okay, I believe that was Donald Trump taking

1284
01:01:22.559 --> 01:01:24.159
<v Speaker 1>a leak on Jada Vance's head to make a point

1285
01:01:24.159 --> 01:01:27.719
<v Speaker 1>about Tracadan economics. I love it. Yeah, so go ahead, Yeah,

1286
01:01:27.719 --> 01:01:29.639
<v Speaker 1>talks to me. Just talk to me about the concept

1287
01:01:29.719 --> 01:01:32.960
<v Speaker 1>of the ad, who who you showed the ad to,

1288
01:01:33.400 --> 01:01:34.559
<v Speaker 1>and what the reaction to it was.

1289
01:01:35.320 --> 01:01:35.519
<v Speaker 6>Yeah.

1290
01:01:35.679 --> 01:01:37.320
<v Speaker 3>So, you know, my friends at home think being an

1291
01:01:37.360 --> 01:01:39.880
<v Speaker 3>executive director is like out there talking to you know,

1292
01:01:40.000 --> 01:01:42.519
<v Speaker 3>rich people. It's actually just getting a slack from your

1293
01:01:42.599 --> 01:01:44.320
<v Speaker 3>CMO that says, hey, how do you feel about an

1294
01:01:44.320 --> 01:01:45.280
<v Speaker 3>ad with some piss in it?

1295
01:01:45.960 --> 01:01:48.440
<v Speaker 2>That's quite literally the reality of this job.

1296
01:01:49.239 --> 01:01:53.880
<v Speaker 3>But you know, I think this ad is about recognizing

1297
01:01:54.000 --> 01:01:56.320
<v Speaker 3>that if you can't actually get someone to watch your ad,

1298
01:01:56.599 --> 01:01:58.559
<v Speaker 3>it doesn't matter how well it tested. Right.

1299
01:01:58.639 --> 01:02:00.239
<v Speaker 2>The number one thing that we need to be aware

1300
01:02:00.280 --> 01:02:01.000
<v Speaker 2>of is the.

1301
01:02:01.039 --> 01:02:04.320
<v Speaker 3>Skip button and the second screen that exists in the

1302
01:02:04.360 --> 01:02:06.280
<v Speaker 3>fact that people are just naturally going to tune out

1303
01:02:06.320 --> 01:02:08.159
<v Speaker 3>of what we were saying. So if we want to

1304
01:02:08.199 --> 01:02:11.199
<v Speaker 3>be able to actually get our message across about gas prices,

1305
01:02:11.519 --> 01:02:13.360
<v Speaker 3>we need to deliver it in a format that's going

1306
01:02:13.400 --> 01:02:16.119
<v Speaker 3>to capture people's attention. This is just one ad, right,

1307
01:02:16.159 --> 01:02:19.039
<v Speaker 3>I think it's it's really you know, the media responds

1308
01:02:19.079 --> 01:02:20.960
<v Speaker 3>really well to Hey, look at this one ad and

1309
01:02:21.400 --> 01:02:24.199
<v Speaker 3>cover it and get some media attention on it. The

1310
01:02:24.280 --> 01:02:26.559
<v Speaker 3>reality is, like Prologue is going to be thousands of

1311
01:02:26.599 --> 01:02:28.679
<v Speaker 3>ads over the next two years. We're going to throw

1312
01:02:28.760 --> 01:02:30.840
<v Speaker 3>shit at the wall, see what sticks, and then move

1313
01:02:30.920 --> 01:02:33.719
<v Speaker 3>on with our lives. This ad is one example of

1314
01:02:33.800 --> 01:02:36.000
<v Speaker 3>something that we tried. It actually did get a ton

1315
01:02:36.079 --> 01:02:38.000
<v Speaker 3>of attention. People watched it all the way through. I

1316
01:02:38.039 --> 01:02:40.440
<v Speaker 3>think we were really excited about the metrics that we saw.

1317
01:02:41.400 --> 01:02:43.880
<v Speaker 3>People want humor, they want things, they want the po

1318
01:02:44.079 --> 01:02:45.559
<v Speaker 3>they want politics to be a little bit less a

1319
01:02:45.559 --> 01:02:48.000
<v Speaker 3>little bit less serious, and so that was our attempt

1320
01:02:48.039 --> 01:02:49.760
<v Speaker 3>to kind of play around with those insights.

1321
01:02:50.400 --> 01:02:54.239
<v Speaker 1>So, you know, the typical way we have been measuring

1322
01:02:54.239 --> 01:02:57.039
<v Speaker 1>the efficacy of ads and messaging and over the last

1323
01:02:57.719 --> 01:02:59.920
<v Speaker 1>you know, decade. Here is persuasion effects?

1324
01:03:00.119 --> 01:03:00.199
<v Speaker 6>Right?

1325
01:03:00.599 --> 01:03:03.400
<v Speaker 1>How much does it based on a We're testing the

1326
01:03:03.440 --> 01:03:06.199
<v Speaker 1>AD in front of tens of thousands of people and

1327
01:03:06.320 --> 01:03:09.559
<v Speaker 1>to what how many points did this take off of

1328
01:03:09.639 --> 01:03:11.840
<v Speaker 1>Trump's approval? Or how much did it move vote choice

1329
01:03:11.960 --> 01:03:14.960
<v Speaker 1>in our favor? And these are all in polarized environment,

1330
01:03:15.199 --> 01:03:18.400
<v Speaker 1>very small numbers that you know, we're like an AD

1331
01:03:18.480 --> 01:03:20.119
<v Speaker 1>it could be three times as effective as another AD,

1332
01:03:20.119 --> 01:03:22.480
<v Speaker 1>and it's because it's moving approval three times that three

1333
01:03:22.519 --> 01:03:25.440
<v Speaker 1>points at one point. Yeah, what is your metric of

1334
01:03:25.519 --> 01:03:27.800
<v Speaker 1>success here? Is it completion rate? Are you? Are you

1335
01:03:27.880 --> 01:03:29.559
<v Speaker 1>testing persuason effects? How are you thinking about it?

1336
01:03:30.239 --> 01:03:30.880
<v Speaker 2>All of the above.

1337
01:03:31.000 --> 01:03:33.079
<v Speaker 3>I think we're of the opinion that there's no singular

1338
01:03:33.159 --> 01:03:35.199
<v Speaker 3>metric that's ever going to tell you your AD is working.

1339
01:03:35.360 --> 01:03:37.239
<v Speaker 3>You have to take a really wide lens and like

1340
01:03:37.360 --> 01:03:39.840
<v Speaker 3>take it all in. You know, we didn't do creative

1341
01:03:39.880 --> 01:03:42.519
<v Speaker 3>testing in twenty sixteen. I think in the aftermath I

1342
01:03:42.639 --> 01:03:44.880
<v Speaker 3>was really excited when the idea of creative testing kind

1343
01:03:44.880 --> 01:03:47.519
<v Speaker 3>of came into the ecosystem because I was like, okay,

1344
01:03:47.599 --> 01:03:49.840
<v Speaker 3>like we can finally like understand before we put money

1345
01:03:49.880 --> 01:03:52.039
<v Speaker 3>behind an AD, how is it going to do. And

1346
01:03:52.119 --> 01:03:54.239
<v Speaker 3>I don't know if you guys remember like twenty sixteen,

1347
01:03:54.280 --> 01:03:55.840
<v Speaker 3>the biggest thing was like so many of our ads

1348
01:03:55.880 --> 01:03:58.239
<v Speaker 3>were causing backlash. They were actually like moving people in

1349
01:03:58.320 --> 01:04:00.400
<v Speaker 3>the wrong direction. And I was like such an eye

1350
01:04:00.440 --> 01:04:03.280
<v Speaker 3>opening thing. And so I was always of the opinion

1351
01:04:03.400 --> 01:04:05.280
<v Speaker 3>that you know, you can take a look at a

1352
01:04:05.320 --> 01:04:07.719
<v Speaker 3>creative test result and weed out the ads they're going

1353
01:04:07.800 --> 01:04:09.840
<v Speaker 3>to do harm and actually move people in the wrong direction.

1354
01:04:10.000 --> 01:04:11.599
<v Speaker 3>And then if you have five ads at the end

1355
01:04:11.599 --> 01:04:14.320
<v Speaker 3>of the day that move people in the right direction,

1356
01:04:14.559 --> 01:04:16.679
<v Speaker 3>put them all online and see how they do. Right, Like,

1357
01:04:16.800 --> 01:04:19.599
<v Speaker 3>let's let's compare offline and online metrics against each other

1358
01:04:20.480 --> 01:04:22.639
<v Speaker 3>to really understand, you know, how how they're going to

1359
01:04:22.679 --> 01:04:25.760
<v Speaker 3>both be complementary and maybe disagree with each other. Not

1360
01:04:25.920 --> 01:04:28.960
<v Speaker 3>to to to shout out the team at on the

1361
01:04:29.000 --> 01:04:32.079
<v Speaker 3>Newsom campaign, but they did this really well during during

1362
01:04:32.119 --> 01:04:34.440
<v Speaker 3>the PROF fifty campaign. I think their whole theory was

1363
01:04:34.679 --> 01:04:37.000
<v Speaker 3>we're going to test our ads. We are going to

1364
01:04:37.320 --> 01:04:39.480
<v Speaker 3>see what works in a kind of lab environment, and

1365
01:04:39.480 --> 01:04:41.280
<v Speaker 3>we're going to see what horse race looks like. But

1366
01:04:41.440 --> 01:04:43.599
<v Speaker 3>instead of you know, picking the top ad that has

1367
01:04:43.639 --> 01:04:45.840
<v Speaker 3>the highest horse race effect, we're just going to put

1368
01:04:45.880 --> 01:04:48.000
<v Speaker 3>everything out there that doesn't do harm and then see

1369
01:04:48.400 --> 01:04:51.079
<v Speaker 3>you know on YouTube which audience does which which ad move.

1370
01:04:51.280 --> 01:04:53.039
<v Speaker 3>I just give them a lot of props for kind

1371
01:04:53.079 --> 01:04:56.119
<v Speaker 3>of taking that that theory. It's in strong alignment with

1372
01:04:56.239 --> 01:04:58.199
<v Speaker 3>kind of the priority theory of the case, and it

1373
01:04:58.280 --> 01:05:02.280
<v Speaker 3>obviously had a really awesome impat in that race. But yeah,

1374
01:05:02.320 --> 01:05:05.760
<v Speaker 3>I think part of our theory, and this is one

1375
01:05:05.800 --> 01:05:07.760
<v Speaker 3>of the other tools that we're actually in development on

1376
01:05:08.239 --> 01:05:11.000
<v Speaker 3>right now, is what does it look like to amass

1377
01:05:11.519 --> 01:05:14.519
<v Speaker 3>a much larger set of signals to understand how something.

1378
01:05:14.360 --> 01:05:17.239
<v Speaker 2>Might resonate online beyond just you know.

1379
01:05:17.320 --> 01:05:20.320
<v Speaker 3>How something tests in a creative test and how something polls,

1380
01:05:21.000 --> 01:05:22.960
<v Speaker 3>How is an issue being talked about on a podcast,

1381
01:05:23.039 --> 01:05:24.800
<v Speaker 3>how is it being talked about in a comment section

1382
01:05:24.960 --> 01:05:27.960
<v Speaker 3>and a search trend At the doors. There's a million

1383
01:05:28.039 --> 01:05:30.039
<v Speaker 3>different data sets that we have available to us that

1384
01:05:30.119 --> 01:05:32.639
<v Speaker 3>we can be listening to, and part of what Priorities

1385
01:05:32.719 --> 01:05:35.079
<v Speaker 3>is doing is amassing all of those into a centralized

1386
01:05:35.159 --> 01:05:37.360
<v Speaker 3>view so that we can take everything in and make

1387
01:05:37.400 --> 01:05:38.840
<v Speaker 3>strategic judgments accordingly.

1388
01:05:39.599 --> 01:05:42.159
<v Speaker 1>All right, let's look at a ad about Marco Rubio

1389
01:05:43.039 --> 01:05:44.840
<v Speaker 1>and now let's discuss Okay.

1390
01:05:45.000 --> 01:05:47.840
<v Speaker 7>I think America can't get any more expensive that we

1391
01:05:47.920 --> 01:05:51.280
<v Speaker 7>can't afford another pointless war. Well, the call isn't yours

1392
01:05:51.360 --> 01:05:55.679
<v Speaker 7>to me? Kids with a little Marco Invasion action place

1393
01:05:55.719 --> 01:05:59.119
<v Speaker 7>at the boots that are too big promises, He can't

1394
01:05:59.239 --> 01:06:03.719
<v Speaker 7>keep you cont He starts the wars. We pay for

1395
01:06:03.880 --> 01:06:08.960
<v Speaker 7>its social security not anymore medicare Bye bye the toy,

1396
01:06:09.079 --> 01:06:12.079
<v Speaker 7>the tends your boys off to war, the little Marco

1397
01:06:12.239 --> 01:06:13.599
<v Speaker 7>Invasion action place at.

1398
01:06:13.719 --> 01:06:14.079
<v Speaker 6>I love it.

1399
01:06:14.159 --> 01:06:17.800
<v Speaker 1>I love little Marcoup similar vibe to They all have

1400
01:06:17.840 --> 01:06:19.800
<v Speaker 1>a south parking and south parking and I guess the

1401
01:06:19.880 --> 01:06:21.519
<v Speaker 1>their term vibe to them, which which I do?

1402
01:06:21.679 --> 01:06:21.719
<v Speaker 3>Like?

1403
01:06:23.239 --> 01:06:25.039
<v Speaker 1>Who is the target audience for this ad and how

1404
01:06:25.079 --> 01:06:25.400
<v Speaker 1>did it do?

1405
01:06:26.320 --> 01:06:26.519
<v Speaker 7>Yeah?

1406
01:06:26.559 --> 01:06:28.840
<v Speaker 3>So, generally speaking, Priorities is always kind of trying to

1407
01:06:28.920 --> 01:06:30.960
<v Speaker 3>go after the young voters and voters of color as

1408
01:06:30.960 --> 01:06:34.239
<v Speaker 3>our primary audience. Looking ahead to twenty twenty eight, our

1409
01:06:34.239 --> 01:06:37.280
<v Speaker 3>team has identified just over ten just under ten million

1410
01:06:37.360 --> 01:06:39.639
<v Speaker 3>voters across the battleground states that kind of fit into

1411
01:06:39.719 --> 01:06:40.440
<v Speaker 3>that category.

1412
01:06:41.639 --> 01:06:43.440
<v Speaker 2>So that is, you know, the primary audience for this.

1413
01:06:43.559 --> 01:06:46.039
<v Speaker 3>I think for this particular creative brief, we were also

1414
01:06:46.159 --> 01:06:49.320
<v Speaker 3>quite interested in having an effect with young man in.

1415
01:06:49.360 --> 01:06:53.480
<v Speaker 2>Particular, just because those those are that's a tough audience

1416
01:06:53.519 --> 01:06:53.760
<v Speaker 2>for us.

1417
01:06:56.280 --> 01:06:59.440
<v Speaker 1>You know you I heard you say to you mentioned

1418
01:06:59.480 --> 01:07:01.360
<v Speaker 1>the YouTube that's earlier that you read them, and that

1419
01:07:01.400 --> 01:07:04.400
<v Speaker 1>they're actually sort of influencing some of the creative decisions

1420
01:07:04.400 --> 01:07:08.360
<v Speaker 1>you're making, which is a far cry from which is

1421
01:07:08.559 --> 01:07:11.880
<v Speaker 1>probably causing data nerds within the party to lose their

1422
01:07:11.960 --> 01:07:14.559
<v Speaker 1>mind that we would look at YouTube comments. But one

1423
01:07:14.599 --> 01:07:19.000
<v Speaker 1>thing you said to Peter Hanby was that the YouTube

1424
01:07:19.000 --> 01:07:23.840
<v Speaker 1>comments about JD Vance and Marco Rubio were different in

1425
01:07:23.960 --> 01:07:25.840
<v Speaker 1>one very notable respect. Could you say what that was?

1426
01:07:25.960 --> 01:07:27.000
<v Speaker 2>Yeah, for sure.

1427
01:07:27.119 --> 01:07:29.840
<v Speaker 3>So let me explain quickly why we care so much

1428
01:07:29.880 --> 01:07:32.559
<v Speaker 3>about comment sections at parties, because it does cause a

1429
01:07:32.559 --> 01:07:34.599
<v Speaker 3>lot of stress, but I do think it's it's super valid.

1430
01:07:34.719 --> 01:07:37.239
<v Speaker 3>So we did a research project last summer where we

1431
01:07:37.320 --> 01:07:39.760
<v Speaker 3>interviewed a bunch of young men on how they watch YouTube,

1432
01:07:39.840 --> 01:07:41.960
<v Speaker 3>and by far and away, the biggest takeaway from that

1433
01:07:42.039 --> 01:07:46.440
<v Speaker 3>research project was just how reliable these young men are

1434
01:07:46.599 --> 01:07:48.800
<v Speaker 3>on comment sections. They watch a video, they jump to

1435
01:07:48.840 --> 01:07:51.079
<v Speaker 3>the comment section. They really want to understand what their

1436
01:07:51.079 --> 01:07:53.559
<v Speaker 3>peers think. They really want to understand if there's agreement

1437
01:07:53.679 --> 01:07:56.519
<v Speaker 3>or disagreement. It is like peer validation that is like

1438
01:07:56.639 --> 01:07:58.679
<v Speaker 3>happening in front of our eyes. And it is like,

1439
01:07:59.239 --> 01:08:00.880
<v Speaker 3>you know, people like to say the Internet is not

1440
01:08:00.960 --> 01:08:03.320
<v Speaker 3>real life. Comment sections are not real life. I'm not

1441
01:08:03.440 --> 01:08:05.679
<v Speaker 3>here to say that people who are commenting on videos

1442
01:08:05.760 --> 01:08:08.840
<v Speaker 3>are representative of voters, but it is an environment where

1443
01:08:08.880 --> 01:08:11.559
<v Speaker 3>conversations are happening and we need to take it seriously

1444
01:08:11.679 --> 01:08:14.039
<v Speaker 3>and learn from it. So that is why we care

1445
01:08:14.119 --> 01:08:16.399
<v Speaker 3>so much about observing what is going on in these

1446
01:08:16.439 --> 01:08:18.399
<v Speaker 3>comment sections and what we saw when.

1447
01:08:18.279 --> 01:08:20.600
<v Speaker 2>We were crafting you know, initials.

1448
01:08:20.600 --> 01:08:23.239
<v Speaker 3>Stead of pulling on on Vans and Rubio in particular,

1449
01:08:23.680 --> 01:08:25.560
<v Speaker 3>you know, our team was going about, you know, picking

1450
01:08:25.560 --> 01:08:27.880
<v Speaker 3>out the messages that you would you know, pull out

1451
01:08:27.920 --> 01:08:30.960
<v Speaker 3>when you're pulling together a pole. But we also spent

1452
01:08:31.000 --> 01:08:33.119
<v Speaker 3>a lot of time kind of scouring the Internet to

1453
01:08:33.239 --> 01:08:35.520
<v Speaker 3>understand what are the narratives that are kind of naturally

1454
01:08:35.560 --> 01:08:39.399
<v Speaker 3>occurring around these guys, What are the late night hosts

1455
01:08:39.399 --> 01:08:41.479
<v Speaker 3>saying about these guys, what are comment sections, what are

1456
01:08:41.520 --> 01:08:43.880
<v Speaker 3>podcasts saying about them, so that we could you know,

1457
01:08:44.039 --> 01:08:45.920
<v Speaker 3>have a little bit of an Internet first lens to

1458
01:08:46.000 --> 01:08:48.119
<v Speaker 3>the narratives that are appearing in our polling. And we

1459
01:08:48.279 --> 01:08:52.399
<v Speaker 3>found that while comment sections about JD Vans were often

1460
01:08:52.520 --> 01:08:54.840
<v Speaker 3>you know, quite negative, definitely poking fun at him. People

1461
01:08:54.840 --> 01:08:58.279
<v Speaker 3>are not afraid to poke fun at Jdvans. Mark Rubio's

1462
01:08:58.319 --> 01:08:58.880
<v Speaker 3>comments were.

1463
01:08:58.800 --> 01:08:59.600
<v Speaker 2>A lot more positive.

1464
01:08:59.640 --> 01:09:02.560
<v Speaker 3>There's just not a lot of criticism happening organically about

1465
01:09:02.600 --> 01:09:05.920
<v Speaker 3>him online. And it's actually why in rolling out this program,

1466
01:09:06.319 --> 01:09:08.640
<v Speaker 3>I think our team walked away feeling a lot more

1467
01:09:08.680 --> 01:09:10.560
<v Speaker 3>anxious about kind of what we have in front of

1468
01:09:10.680 --> 01:09:14.399
<v Speaker 3>us to define Marco Rubio just because A he's super undefined. B.

1469
01:09:14.640 --> 01:09:17.479
<v Speaker 3>People are not willing to, you know, go super negative

1470
01:09:17.560 --> 01:09:21.079
<v Speaker 3>on him online. And see, like in rolling out this

1471
01:09:21.279 --> 01:09:24.439
<v Speaker 3>program to the press, the only person anyone wants to

1472
01:09:24.479 --> 01:09:25.439
<v Speaker 3>talk about right now is JD.

1473
01:09:25.560 --> 01:09:25.800
<v Speaker 1>Vance.

1474
01:09:26.239 --> 01:09:28.640
<v Speaker 2>People don't want to talk about Mark Rubio, and that's

1475
01:09:28.680 --> 01:09:29.119
<v Speaker 2>a problem.

1476
01:09:30.199 --> 01:09:34.960
<v Speaker 1>The Jdvans thing is interesting because, like I think a

1477
01:09:35.000 --> 01:09:37.279
<v Speaker 1>lot about political messaging, when you're trying to define a person,

1478
01:09:37.359 --> 01:09:39.840
<v Speaker 1>if you kind of want to memify him, and you

1479
01:09:39.920 --> 01:09:41.920
<v Speaker 1>can either be memified in a cool way or in

1480
01:09:41.960 --> 01:09:45.039
<v Speaker 1>a bad way. Trump maybe the Trump may actually be

1481
01:09:45.079 --> 01:09:46.880
<v Speaker 1>the one person who resists meming because he kind of

1482
01:09:46.960 --> 01:09:49.079
<v Speaker 1>is a meme of himself, developed his own meme in

1483
01:09:49.119 --> 01:09:50.640
<v Speaker 1>the eighties and just like live with a sense, But

1484
01:09:51.199 --> 01:09:53.399
<v Speaker 1>you know it is what it's like, this is even

1485
01:09:53.439 --> 01:09:55.119
<v Speaker 1>before we even talked about memes, like that's what happened

1486
01:09:55.119 --> 01:09:59.279
<v Speaker 1>to John Carey with the windsurfing and the you know,

1487
01:09:59.600 --> 01:10:01.359
<v Speaker 1>the you know I was for before it was against.

1488
01:10:01.359 --> 01:10:03.720
<v Speaker 1>So like they he was mumified. He lost al Gore

1489
01:10:03.880 --> 01:10:06.840
<v Speaker 1>even before that, you know who, a man who was

1490
01:10:08.720 --> 01:10:10.680
<v Speaker 1>a let chosen by Bill Clinton to be on the

1491
01:10:10.720 --> 01:10:12.760
<v Speaker 1>ticket because he was thought to be the most ethical

1492
01:10:12.920 --> 01:10:15.840
<v Speaker 1>and moral person in the Senate. Then by by the

1493
01:10:15.960 --> 01:10:17.800
<v Speaker 1>end was turned into a giant liar who claimed that

1494
01:10:17.800 --> 01:10:20.720
<v Speaker 1>he invented the Internet and was so boring. He got memified, right,

1495
01:10:20.760 --> 01:10:24.159
<v Speaker 1>and so like Vance seems like like I always think

1496
01:10:24.199 --> 01:10:26.439
<v Speaker 1>about when we like you can I'm sure if we

1497
01:10:26.520 --> 01:10:28.640
<v Speaker 1>do message testing and we asked a million voters made

1498
01:10:28.720 --> 01:10:31.279
<v Speaker 1>focus groups, like like he would want to say they're

1499
01:10:31.319 --> 01:10:33.760
<v Speaker 1>bad on affordability, but that's not like it's not a

1500
01:10:33.840 --> 01:10:37.000
<v Speaker 1>culturally relevant message or cultural irrelevant message. Is that the

1501
01:10:37.079 --> 01:10:38.079
<v Speaker 1>JD Vance is a goober?

1502
01:10:38.479 --> 01:10:40.199
<v Speaker 3>I actually looked at the creative brief right before we

1503
01:10:40.279 --> 01:10:43.479
<v Speaker 3>got on because I wanted to remember our our create

1504
01:10:43.479 --> 01:10:45.439
<v Speaker 3>de brief literally describes like what we think the meme

1505
01:10:45.600 --> 01:10:46.520
<v Speaker 3>of these guys should be.

1506
01:10:47.279 --> 01:10:47.600
<v Speaker 2>For JD.

1507
01:10:47.760 --> 01:10:51.119
<v Speaker 3>Vance, it's the flannel shirt, doesn't fit him anymore. Right,

1508
01:10:51.239 --> 01:10:54.560
<v Speaker 3>he grew up seemingly middle class. He's now in the

1509
01:10:54.600 --> 01:10:57.359
<v Speaker 3>Trump administration, and like unfortunately the flannel shirt that he

1510
01:10:57.439 --> 01:11:00.239
<v Speaker 3>once wanted to wear no longer zips up. It's he's

1511
01:11:00.279 --> 01:11:02.159
<v Speaker 3>grown out of it because he's spent the last couple

1512
01:11:02.159 --> 01:11:04.840
<v Speaker 3>of years catering to the Trump administration. So what you

1513
01:11:04.920 --> 01:11:07.479
<v Speaker 3>thought you knew about him before, it's not so true anymore.

1514
01:11:07.760 --> 01:11:09.520
<v Speaker 3>So everything you're going to see us put out over

1515
01:11:09.560 --> 01:11:11.319
<v Speaker 3>the next couple of years, like for now, like I

1516
01:11:11.359 --> 01:11:13.399
<v Speaker 3>think the meme could evolve, and part of our our

1517
01:11:13.439 --> 01:11:15.600
<v Speaker 3>research is going to be to try to understand, you know,

1518
01:11:15.680 --> 01:11:18.600
<v Speaker 3>poke holes in that theory. But that's kind of the

1519
01:11:18.680 --> 01:11:20.920
<v Speaker 3>story that we're trying to tell about Vance And it

1520
01:11:21.000 --> 01:11:23.439
<v Speaker 3>also allows us to you know, tell that story through

1521
01:11:23.479 --> 01:11:25.640
<v Speaker 3>a climate change lens or an abortion lens or an

1522
01:11:25.680 --> 01:11:26.359
<v Speaker 3>economic lens.

1523
01:11:26.399 --> 01:11:29.520
<v Speaker 2>It doesn't require us to you know, pit issues against

1524
01:11:29.520 --> 01:11:29.840
<v Speaker 2>each other.

1525
01:11:29.840 --> 01:11:31.800
<v Speaker 3>I think every time as a party we're pitting issues

1526
01:11:31.840 --> 01:11:34.640
<v Speaker 3>against each other, we're losing. The meme I think that

1527
01:11:34.680 --> 01:11:36.760
<v Speaker 3>our team has picked out for Rubio is he's a

1528
01:11:36.840 --> 01:11:39.000
<v Speaker 3>chicken hawk. He's all talked, but when it actually comes

1529
01:11:39.039 --> 01:11:41.119
<v Speaker 3>to it, like he's never served in the military. He's

1530
01:11:41.119 --> 01:11:43.439
<v Speaker 3>actually nowhere to be found right now despite everything that's

1531
01:11:43.479 --> 01:11:46.439
<v Speaker 3>going on in Iran. So those like, like I said,

1532
01:11:46.560 --> 01:11:48.960
<v Speaker 3>like our team and putting together this creative brief and

1533
01:11:49.000 --> 01:11:52.680
<v Speaker 3>really distilling the research. It was less about what are

1534
01:11:52.720 --> 01:11:55.920
<v Speaker 3>the top issues and more what's the one sentence that

1535
01:11:55.960 --> 01:11:58.079
<v Speaker 3>you want someone to describe them as when they walk away?

1536
01:11:58.600 --> 01:12:00.680
<v Speaker 3>And I think that's really our theory on on narrative

1537
01:12:00.720 --> 01:12:03.840
<v Speaker 3>and messaging priorities before I.

1538
01:12:03.920 --> 01:12:07.399
<v Speaker 1>Let you go, Like, as we are sitting here today,

1539
01:12:07.680 --> 01:12:11.039
<v Speaker 1>there's somewhere between a dozen and four hundred people who

1540
01:12:11.119 --> 01:12:14.399
<v Speaker 1>are planning to run for president very soon. In those

1541
01:12:14.520 --> 01:12:17.640
<v Speaker 1>campaign headquarters, there are already people you and I have

1542
01:12:17.680 --> 01:12:19.239
<v Speaker 1>been these people in humans in the past, who are

1543
01:12:19.399 --> 01:12:23.159
<v Speaker 1>charting out at memos and slide decks what the campaign

1544
01:12:23.159 --> 01:12:25.039
<v Speaker 1>should look like, what the strategy would be, what the

1545
01:12:25.119 --> 01:12:28.640
<v Speaker 1>campaign structure would be. What advice do you have for

1546
01:12:28.760 --> 01:12:32.640
<v Speaker 1>these campaigns to you know, learn from what you guys

1547
01:12:32.680 --> 01:12:35.000
<v Speaker 1>have done and to avoid making some of the mistakes

1548
01:12:35.000 --> 01:12:37.000
<v Speaker 1>we've made in recent campaigns, where I think some of

1549
01:12:37.119 --> 01:12:41.319
<v Speaker 1>our structure and strategies have been anachronistic at best.

1550
01:12:41.960 --> 01:12:45.079
<v Speaker 3>Yeah, I mean I would be remiss not to say that,

1551
01:12:45.199 --> 01:12:47.560
<v Speaker 3>like digital has to be at the table, like if

1552
01:12:47.640 --> 01:12:51.319
<v Speaker 3>you are not bringing the table. Yes, right, there's all

1553
01:12:51.359 --> 01:12:53.920
<v Speaker 3>the debate of digital as a team versus a tactic. Yes,

1554
01:12:54.560 --> 01:12:56.359
<v Speaker 3>Like I hope we are past that, but I have

1555
01:12:56.520 --> 01:12:59.920
<v Speaker 3>to say it, right. I mean. The other thing is,

1556
01:13:00.000 --> 01:13:03.359
<v Speaker 3>it's just like, you know, I think that if I

1557
01:13:04.399 --> 01:13:05.800
<v Speaker 3>get asked all the time, well, how are you guys

1558
01:13:05.800 --> 01:13:08.600
<v Speaker 3>actually acting on this research? It's really smart, it's really insightful,

1559
01:13:08.680 --> 01:13:10.880
<v Speaker 3>but like, how should it change my strategy?

1560
01:13:11.079 --> 01:13:11.600
<v Speaker 5>And I think my.

1561
01:13:11.880 --> 01:13:15.399
<v Speaker 2>Singular answer to that question is more is more and

1562
01:13:15.520 --> 01:13:16.000
<v Speaker 2>more video.

1563
01:13:17.600 --> 01:13:20.319
<v Speaker 3>You are never going to regret making more video for

1564
01:13:20.479 --> 01:13:23.880
<v Speaker 3>today the way today's Internet operates. I think Kyle Thlart

1565
01:13:23.920 --> 01:13:25.880
<v Speaker 3>put this study out a couple weeks or last week

1566
01:13:25.920 --> 01:13:28.720
<v Speaker 3>around just how much Corey Booker is just churning out

1567
01:13:28.800 --> 01:13:31.600
<v Speaker 3>video and constantly putting things out, and it's like earning

1568
01:13:31.680 --> 01:13:34.720
<v Speaker 3>him a ton of awesome, you know, goodwill on the Internet.

1569
01:13:35.319 --> 01:13:39.079
<v Speaker 3>You are never going to regret doing more. But I

1570
01:13:39.119 --> 01:13:42.239
<v Speaker 3>think that requires a fundamental shift in We need to

1571
01:13:42.319 --> 01:13:44.359
<v Speaker 3>stop editing ourselves on the front end. We need to

1572
01:13:44.399 --> 01:13:50.279
<v Speaker 3>stop putting things through twenty rounds of legal compliance, research review,

1573
01:13:50.399 --> 01:13:53.439
<v Speaker 3>and just start putting things on the Internet and seeing

1574
01:13:53.479 --> 01:13:55.720
<v Speaker 3>what sticks. The Internet is a place where we have

1575
01:13:55.800 --> 01:13:58.399
<v Speaker 3>a lot to learn. We need to stop thinking about

1576
01:13:58.439 --> 01:14:01.239
<v Speaker 3>it as just a distribution chann and instead think about

1577
01:14:01.239 --> 01:14:02.800
<v Speaker 3>it as a place where we can do a lot

1578
01:14:02.960 --> 01:14:06.800
<v Speaker 3>of good in listening and observing how people are responding

1579
01:14:06.840 --> 01:14:07.399
<v Speaker 3>to our content.

1580
01:14:08.439 --> 01:14:10.920
<v Speaker 1>Daniel Butterfield, thank you so much for joining us. Thank

1581
01:14:10.920 --> 01:14:12.880
<v Speaker 1>you for nerding out with me on my favorite topic

1582
01:14:12.920 --> 01:14:15.319
<v Speaker 1>in the world. This has been so much fun. We

1583
01:14:15.399 --> 01:14:17.159
<v Speaker 1>will be watching what you guys are doing to the

1584
01:14:17.199 --> 01:14:18.880
<v Speaker 1>rest of this selection of the next Thank you so much.

1585
01:14:19.159 --> 01:14:20.319
<v Speaker 2>Thank you Talk soon.

1586
01:14:21.039 --> 01:14:23.199
<v Speaker 5>Positive America is a Crooked Media production. Our show is

1587
01:14:23.239 --> 01:14:25.760
<v Speaker 5>produced by Austin Fisher, Saul Ruben, McKenna Roberts, and Faris

1588
01:14:25.800 --> 01:14:28.279
<v Speaker 5>Safari with re Jerland, Elijah Cone and Adrian Hill. Our

1589
01:14:28.279 --> 01:14:31.119
<v Speaker 5>team includes Matt de Groat, Ben Hepcoat, Jordan Canter, Charlotte Landis,

1590
01:14:31.159 --> 01:14:33.439
<v Speaker 5>David Toles, Mia Kelman, Ryan Young, and Naomi Single. Our

1591
01:14:33.439 --> 01:14:35.520
<v Speaker 5>staff is probably unionized with the Writers Guild of America

1592
01:14:35.640 --> 01:14:35.840
<v Speaker 5>East
