Inside Marketing with MarketSurge

Speaker: Welcome to Inside
Marketing With Market Surge.

Your front row seat to the
boldest ideas and smartest

strategies in the marketing game.

Your host is Reed Hansen, chief
Growth Officer at Market Surge.

Reed Hansen, MarketSurge: Hello
and welcome back to Inside

Marketing with Market Surge.

Our guest today is Brendan Norman,
who is the the CEO and Co-founder

of Classify a company that's on a
mission to organize the world's digital

content, making it privacy safe.

Searchable and monetizable.

Before launching Classify, Brendan
helped scale the Facebook audience

network into a $3 billion business
and played a key role in Unity's IPO.

But when he tried to market a
new kind of platform, he realized

something shocking that there
really wasn't a good way to find or

understand content at the page level.

So we built one.

Now with the team of top, top, top tier
AI and, uh, machine learning engineers

classifies AI powered classification
engine and content graph are re

redefining how publishers, advertisers,
and marketers connect with the open web.

Today we'll dig into why contextual
marketing might finally beat audience

targeting and what the future of
digital advertising looks like

and more, uh, let's jump right in.

Brenda, welcome to the podcast.

Yeah, my pleasure.

Well, it's, it's really exciting
to have somebody that's kind of

like at the cutting edge, uh, you
know, just by way of background.

So you have worked with, uh, you
know, a huge network, Facebook's,

uh, you know, audience network.

Um, you know, tell us a little
bit about that experience.

What made you want to, uh, branch off
and, and work in, take on new ventures?

You know, what's, what's that,
that transition been like.

brendan: It, it, it's been a lot of fun.

You know, I kind of stumbled my
way into advertising technology.

The more people that I meet in ad
Tech today, I don't think anybody

studied advertising technology
in school and wanted to get into

this, this side of the business.

Like everybody has seen Mad Madden,
you know, we kind of watched the

old school fifties era of kind of
how these creative process works

and like that's, that's fascinating.

And the north side of the business, you
know, around all the technology pipes

that allow a beautiful ad creative
to show up against the right content.

As the other, like really, you know,
scientific, more analytical, um, complex

side that not many people get to see.

It's kind of the plumbing, you know,
underneath this whole When, when you see

an ad show up on your phone or on your,
on your desktop or on your TV or in a

podcast, know, there's a lot of complexity
that that goes into how that ad actually

showed up, you know, in front of your
eyeballs, and then how it gets tracked.

Um, I kind of fell into it a little
over a decade ago a, a company called

LiveRail that was a video supply side
platform, and they hired me to figure

out, uh, mobile publishing to work
with mobile publishers and monetize

using our ads Pretty quickly after I
joined, we got acquired by Facebook and.

I had a really cool opportunity to
go help build out Facebook audience

network and learned one from some of
the smartest people in the business

that I'm still very good friends with.

You know, most of the folks that
I helped to build this with, um.

How powerful it can be when you combine
different data sets for, for targeting.

So an advertiser shows up and they say,
you know, I'd like to run an ad campaign.

Here are the objectives.

I'm trying to sell this product,
or I'm trying to drive awareness,

or I'm trying to get signups.

Whatever they're looking to do.

They'll give some basic information
about what they're trying to

accomplish, who they are, what
product they're trying to sell.

And then Facebook is really good at
figuring out, um, a lot of different

signals around, you know, you read also
kind of you've been looking at, what

you're interested in, you know, and it
kind of takes a lot of different data

sources and then it combines that with,
in that moment, are you, you know, are

you playing Words with Friends, the game?

Are you reading an
article about something?

And what they try to do is to try
to, to figure out which ad will be

the most effective ad that looks
relevant to what you're consuming at

that moment, but also the one that
you're most likely to engage with.

And it's one of the reasons why
Instagram advertising is so powerful.

Uh, Facebook advertising
is, is incredibly powerful.

And to answer your question
around, you know, why classify.

When I left Facebook and then
Unity, I was building a platform.

I got, I moved up to Tahoe and was really
interested in backcountry ski touring.

Reed Hansen, MarketSurge: Oh, nice.

brendan: building out this platform to
help connect, uh, ski touring guides with

folks like me who wanted to meet them
and learn more about, you know, local

conditions and get better at, at, and
understanding just how to do the sport.

And when I tried to, I built it, brought
on board some cool guides, you know,

brought some friends on board to start
connecting with those guides and then

start trying to market it To your earlier
comment, anybody that I chatted with in

the contextual targeting space, um, you
know, would, would, would basically say,

here are pieces of content about sports or
winter sports or skiing very high level.

And the category was like resort skiing.

It wasn't very specific to this very
niche sport, and it kind of led me down

a path of, of asking questions around
hadn't been anybody, been able to figure

out how to deeply understand content,

Reed Hansen, MarketSurge: Hmm.

brendan: um, at the contextual, at
the semantic, you know, at the really

deep and at the page level too.

So, fast forward to putting together
a team of really smart AI data

scientist engineers and we just.

Figured out a much better way to kind
of classify that content, organize

it, and then make it really easily
searchable so that anybody marketing

any type of product or advertising,
any type of product or service can

pinpoint exactly at the specific page
level where their ad should show up.

Reed Hansen, MarketSurge: Interesting.

So, so this, is this all under the
umbrella of contextual, uh, targeting

or is this, is this something different?

Like, is this, um, even
more focused than that?

brendan: It falls under contextual.

Contextual has been around for a very long

Reed Hansen, MarketSurge: Right.

Uhhuh.

brendan: You know, the old school examples
are like a newspaper advertiser, you

know, might say this is a column that
we're running, this is a sports page,

you know, and an advertiser for the
local sporting goods store wants to run

an ad against, you know, sporting page.

'cause it's relevant to that content.

static.

To be able to do that across billions of
billions of webpages and to be able to,

you know, to help advertisers when there
are tens of billions, hundreds of billions

of auctions happening every single day.

Aligning each specific ad creative,
allowing it to bid on the specific type

of content, um, is a very complex thing.

Reed Hansen, MarketSurge: Mm-hmm.

brendan: been around for a long time.

It hasn't worked super well,
so it does fall under the

contextual targeting umbrella,

Reed Hansen, MarketSurge: Okay.

brendan: but this is kind of the, the
third iteration of that that's much, much

more powerful than I think anything that
we've seen previously in the industry.

But it also kind of falls under the.

The world of curation,

Reed Hansen, MarketSurge: Hmm.

brendan: in a lot of ways, we're
helping to curate specific list of

pages that an advertiser should run.

So in the industry, there's definitely,
I was at advertising week last week, a

lot of discussion around how do we define
the things that we're building right now?

Does it fall into this curation bucket?

Does it fall into this contextual bucket?

the answer is kind of both.

But at the end of the day, you know,
what we're, what we're solving is helping

an advertise or run their ad against
the most relevant piece of content.

Reed Hansen, MarketSurge: Okay.

Okay.

Well, um.

I, you know, when we got on the
call, you were, um, you kind of

teased that you're, you're going
to a big, uh, event, uh, tomorrow.

So we're recording this
on Tuesday, October 14th.

And there's, um, some news
that's going to break tomorrow

morning on the 15th Wednesday.

Um, you didn't tell me what it was, but
you said it's really big and, um, I.

I am like really excited to hear
what this is and because knowing

where you're, you know, what you've
worked on and you know, what is big

in the advertising technology space.

So I'd, I'd love to hear what we can,
uh, what we can learn on Wednesday,

um, about ad technology and, you
know, what's, what's the future?

brendan: Um, thank you for asking.

Reed Hansen, MarketSurge: Yeah.

brendan: There have been a couple of
inflection points in, in advertising

technology and, you know, out of,
outside of the walled gardens.

It's kind of intentionally designed, uh,
to be fairly, there's a lot of folks that

want efficiency and they, you know, they
kind of claim to make it transparent.

But at the end of the day, like it is
designed to create revenue, is designed

to drive eyeballs and there's a lot of.

Because of how these pipes are
designed in a very kind of leaky way

between, know, an advertiser working
with their agency, you know, has an

intelligence platform and they buy ads.

It connects to a demand side platform.

Um, and that demand side platform,
you know, can either connect

to a supply side platform.

Within all of that, there are
data providers like us curators,

there are audience providers.

There's a whole bunch of different other.

Ingredients in, in this entire ecosystem
of pipes, and then each one of those

pipes connecting to each other today
uses a much more custom API endpoint.

So know, effectively what that means is
if I wanted to work with the supply side

platform, or a demand side platform.

I'd have to reach out to that team,
you know, figure out what their

specific API requirements are.

Write some code that's
like this custom endpoint.

Make sure that it all
is connected properly.

It's not very standardized, and
it's not always very efficient.

You don't always have a lot of visibility
or transparency into how it all works.

Um.

About a year ago, uh, anthropic who,
who, uh, released Claude, um, you

know, competes with Opening Eyes Chat,
GPT, they released an open source

con, uh, model context protocol, MCP.

And effectively what it does is it allows
different, uh, large language models.

So it allows like ours or any type
of company that works with data

that's built an agent to connect
with a cloud or connect with the chat

GPT or connect with other systems
that folks have built internally.

And what's really exciting about this
is instead of having to go through

the very manual process of, uh,
writing custom API endpoints, and

this is all kind of boring technical

Reed Hansen, MarketSurge: No, no, no.

This is good.

brendan: What's really exciting
is, is it allows, um, it kind of

democratizes the industry and it

Reed Hansen, MarketSurge: Hmm.

brendan: who's built some type of
complex backend system like ours.

It allows us to, to provide that, you
know, at scale across the industry and

connect into a lot of different platforms
very standardized and very simplistic way.

it'll allow the agent that we've built.

To work with an agency's internal
intelligence platform, it'll allow

us to easily work with supply side
platforms, demand side platforms.

when you are buying ads or you're
a publisher, selling ads, running

your inventory, or running
your campaigns, it's complex.

You have to do a lot of switching
between different programs and platforms.

Reed Hansen, MarketSurge: Yeah.

brendan: What this enables is to be
much easier to kind of connect all

these disparate platforms together
in a, in a really simplistic,

uh, unified, standardized way.

And the goal is that it
will increase transparency.

It allows a lot of earlier stage startups
like ours, you know, that have built

really powerful technology to just be
deployed, to be accessible everywhere.

Um, so the, the goal in this initiative,
uh, with this consortium or this group

of folks who have gotten together and
decided to build this protocol, um,

goal is to just advance the industry
forward through more transparency,

through more accountability,
uh, through more efficiency.

it should help improve the whole ecosystem
in terms of driving better dollars,

better revenue for publishers, but
also better outcomes for advertisers.

Reed Hansen, MarketSurge: Interesting.

So, um, I mean, I I love that, you know,
we, we've, um, you know, for a variety

of reasons, I think people get, um.

You know, I think it, there's kind of a
high barrier to entry to be an advertiser.

You know, it requires a
lot of technical skill.

There's some big players, and then
there's a long lot of disconnect.

I assume that this would help with a
lot of those issues that, um, you know,

it, it just becomes more accessible and,
and, and more efficient, like you say.

Is that fair to, fair to say?

brendan: Very much is, yeah.

And today, you know, a lot of the
advertising dollars, um, a lot of

them go to social and they go to

Reed Hansen, MarketSurge: Mm-hmm.

brendan: And then outside of that, the
programmatic, um, open web ecosystem is

still a very, very large, um, ecosystem.

Reed Hansen, MarketSurge: Yeah.

brendan: lot of that is concentrated

a higher budget type of, of campaigns.

And the

Reed Hansen, MarketSurge: Hmm.

brendan: that are really powerful
are only accessible to advertisers

that spend a lot of money.

So the other downstream effect of all
this, I think that will be exciting

is that we'll be able to service,
you know, any type of advertiser.

So if you have a, a

Reed Hansen, MarketSurge: Um,

brendan: budget a month

Reed Hansen, MarketSurge: yeah.

brendan: today, you're fairly limited
to social and maybe some search, um.

You know, eventually with some of these
existing tools or some of these new

tools that are being developed right
now, and ways that they connect, you

know, it should enable a new generation
of advertising technology to kind of

build for everybody to be able to,
to play in this space where it was

previously only concentrated around
the, the really large advertisers.

Reed Hansen, MarketSurge: Interesting.

So now, um, I, I have, um, um.

Dozen follow up questions
here, um, in this consortium.

Uh, can you tell us roughly
who's involved in the consortium?

Like, is it, um, yeah, I mean, just,
just kind of for perspective, you know,

who's, who's kind of backing this.

brendan: Yeah, it was originally
started by, uh, Brian O'Kelly

Reed Hansen, MarketSurge: Okay.

brendan: And I was one of the, uh,
the founders of Right Media and

Reed Hansen, MarketSurge: Hmm.

brendan: founded and CEO of AppNexus,

Reed Hansen, MarketSurge: Oh yeah.

brendan: um, he sold that
to at and TI think for $1.6

billion, you know, some years ago.

And.

He is the godfather of programmatic.

He's the godfather of pre-bid

Reed Hansen, MarketSurge: Hmm.

brendan: some of these technologies
that's enabled advertising to, um, to

work at the scale that it does today.

His new company is called Scope
Three, and they have initially focused

on helping advertisers understand
what their carbon footprint is,

how they can be more sustainable.

Reed Hansen, MarketSurge: okay.

brendan: And it's cool 'cause he's been
very vocal about saying, I, I created all

of this, um, inefficiency in the space.

So now I'm helping to like, try to, to
solve some of this problem that I created.

But was a stat maybe a year ago
that advertising is around 3%

of global emissions, whereas

Reed Hansen, MarketSurge: Wow.

brendan: industry is 2.5%

of global emissions.

So it's, it's on par with

Reed Hansen, MarketSurge: Yeah.

brendan: flying around the world and
finding more efficient ways that.

Advertisers can deliver a campaign
to the right content, reduce some

of these inefficiencies as, as
all part of this general theme

of, you know, sustainability.

So Brian.

Um, scope three, you know, one of
the founding members, uh, PubMatic,

Reed Hansen, MarketSurge: Hmm.

brendan: it was a supply side platform.

Um, there's a couple other folks that are
more similar to our size that are kind of

in the data space, optimal, uh, classify.

Um, and then I think a bunch more that
will be announced, uh, fairly shortly,

but, um, it's a really interesting group
across publishers, across, um, supply

side platforms and across like demand
side and or marketplaces where data

Reed Hansen, MarketSurge: Okay.

brendan: us.

Can kind of consolidate

Reed Hansen, MarketSurge: Yeah.

brendan: uh, our agent.

Reed Hansen, MarketSurge: So, okay.

Now what, what this makes me think is
there will be some sort of reaction from.

Google, Facebook and other social media
platforms to, you know, dig their heels

in and or protect, kind of protect
the marketing dollars that they have.

Do, do you, um, have, have
you accounted for that?

I mean, I think it's only a good thing.

Like it would probably drive prices down.

Um, uh, that would be my guess,
but I Do you, do you anticipate

any other challenges that way?

Um.

brendan: I'm operating in,
in, in different spaces,

Reed Hansen, MarketSurge: Uhhuh.

Yeah.

brendan: you know, as much as if, if
I have a hundred dollars to spend on

an advertising campaign right now,

Reed Hansen, MarketSurge: Yeah.

brendan: I don't know the
exact numbers, but you know,

an overwhelming percentage of.

That goes to, goes to meta,

Reed Hansen, MarketSurge: Mm-hmm.

brendan: and also goes to, you know,
TikTok other social channels then on

the search side, um, through Google.

And those are, those are kind of
reaching different people in different

Reed Hansen, MarketSurge: Yeah.

brendan: I don't necessarily know
that this, you know, completely takes

away a, a big percentage of what's
already being spent there because

they're very effective channels.

Reed Hansen, MarketSurge: Hmm.

brendan: Um, but what it does allow
in the short term is it, is it allows.

A lot of the same level of targeting
and measurement all of the, the really

sophisticated, uh, valuable pieces
to what their product delivers on

Facebook owned and operated property,
or meta owned and operated property.

It allows us to create a better
ecosystem power of how all of

that, that that targeting and
delivery and measurement works.

Reed Hansen, MarketSurge: Okay.

brendan: Off of, outside
of the meta platform.

Um, eventually it would be really cool
if, you know, I don't know if they'll

ever open up their, their ecosystem to
allow, you know, third parties like ours

Reed Hansen, MarketSurge: Mm-hmm.

brendan: the rest of
the folks in this group.

To connect directly into the, you know,
the meta owned and operated, uh, world

and or the other social channels, TikTok.

But that would be pretty cool if, if
we have a standardized way of kind

of the industry gains a little more
momentum and leverage to be able to,

you know, work with some of these larger
social channels whereas they've owned

end to end in their own ecosystem.

It'll be interesting to see what

Reed Hansen, MarketSurge: Yeah.

brendan: next few years

Reed Hansen, MarketSurge: Yeah.

brendan: if that'll ever
become more accessible.

Reed Hansen, MarketSurge: So, so
the announcement is coming, uh,

tomorrow, Wednesday the 15th.

How soon is this going to
be, uh, like ready to deploy?

Like how soon could a
business engage with this?

brendan: Uh, it's ready.

I mean, the

Reed Hansen, MarketSurge: It's ready.

brendan: is,

Reed Hansen, MarketSurge: Okay,

brendan: the protocol is ready.

Um, it's online.

There's a website, and
tomorrow's a webinar.

There have been some early stage,
like, without naming what it

Reed Hansen, MarketSurge: sure.

Yeah.

brendan: there's been a lot of,
um, discussion on LinkedIn already.

About

Reed Hansen, MarketSurge: I

brendan: what this, this new
advertising context protocol and

how it kind of sits on top of model
context protocol from Anthropic.

Reed Hansen, MarketSurge: Okay.

Yeah.

brendan: but yeah, anybody that
wants to, you know, come to the

website and I'll, I'll share it with
you after, maybe you can link it

Reed Hansen, MarketSurge: Great.

Yeah, I, I will.

Yeah.

That's fantastic, Brennan.

Um, I mean, it is, you know, I, I hear
this and it's, it's like very inspiring.

It's almost like a new marketing
channel that becomes available for

small and medium sized businesses that
just because of ad budgets just was.

Uh, you know, and level of complexity
just wasn't, wasn't really there for them.

Um, and, and I think it, it kind
of democratizes this, this, uh,

technology a lot like, you know,
AI has done for so many things.

Um, well this is super cool.

Um.

Uh, you know, I, I imagine that
you'll be getting a lot of questions

and requests for information
coming up in the, in the few days.

So I am so, I feel so lucky that
we were able to talk to you first.

Um, so, so classify is now what's
classify specific role in this.

Are we going to tomorrow be able to
engage, classify to be something of

a portal to this, um, technology?

brendan: Short answer, yes.

I

Reed Hansen, MarketSurge: Okay.

brendan: already working with a couple
of our partners on, you know, connecting

these pipes, using this new way that
we connect our systems together.

And

Reed Hansen, MarketSurge: Okay.

brendan: part of it is enabling agents.

You know, we've kind of built
these automated AI tools that

you're able to talk to and we.

think I've been spending a lot of time
talking about how the tech works and not,

Reed Hansen, MarketSurge: Yeah.

brendan: how, like, how you
might practically use it, but,

Reed Hansen, MarketSurge: Great.

Great.

Yeah.

brendan: um, what this enables
are these different agents.

So we're a signals agent.

Reed Hansen, MarketSurge: Hmm.

brendan: contextual signals that we're
able to provide and, and curate inventory.

There will be buying agents, there
will be creative agents, know,

so other friends at other really
interesting startups have built.

Really interesting tools like,
um, you know, doing creative

generation for, for native ads.

So

Reed Hansen, MarketSurge: Hmm.

brendan: if you wanted to run a campaign.

That looks like the website,
you know, matches kind of the

text, matches some of the colors.

They can ingest that and then render
an ad that looks very similar.

What this tech will do is it will allow
all these different systems to, to talk

to each other in a much more seamless way.

and it also enables our agents to
kind of do a lot of things on the

backend in an automated fashion.

So instead of a human having to go in.

You know, create a deal ID in PubMatic
or an index exchange and then traffic

that out to a, you know, a DSP seat.

Um, the agents will be able to, automated
agents will be able to go in and do

a lot of this stuff for us so that it
frees up your, your focus to be able

to think about how do I design the
best, you know, advertising campaign.

able to surface and access data much
more efficiently and understand, you

know, how do I make better decisions as
opposed to spending so much time, you

know, going back and forth between these
systems, setting things up in a dashboard.

Um, and it just kind of
automates a lot of that.

So similar to how used to go to Google

Reed Hansen, MarketSurge: Hmm.

brendan: some people still do, I still

Reed Hansen, MarketSurge: Yeah.

Yeah.

brendan: go to Google
search for something.

Go to a website list of a bunch of blue
links, click into each one of those

websites and like read about them.

Um, chat.

GPT Gemini Claude have enabled us
to just talk to, you know, bot, an

agent, um, or an LLM in real time
and kind of have that dialogue.

That's what all this enables, is
it enables that kind of natural

language processing and prompt
based like conversational,

um, building of ad campaigns.

I.

Reed Hansen, MarketSurge:
Very cool, very cool.

So it's like, um, you know, I guess
my experience with Meta and, and

Google as, as ad uh, platforms is
they've gradually over time injected

a few AI elements that help you
with creative or, or targeting, but.

This is like leading with ai.

So it's on the AI platform.

I feel like that's just going to be a
much better user experience and, uh,

you know, the intelligence will, I mean,
just feel, feel more, more intuitive.

Um, I'm, I'm, I'm really
enthusiastic about this.

This is really cool.

Um, and I, I mean, I can't,
like, can't wait to play with it.

Um, is so.

I mean, my, I guess I would just wanna
learn more and I probably get my hands

on it and, and, uh, and experiment.

But is, um, let me, let me just see
if I've, uh, I've missed anything that

I, as was noting as you were talking.

Um, do you think that this will, um.

Huh?

Yeah.

Sorry.

I'm like, my mind's just racing.

But, um, do you, do you think that a,
maybe let's talk about the sustainability

element, um, which I, I, you touched on.

Um, do you, have you, do you have
any projections on what kinds of

efficiencies we could see that,
that compared to, um, your previous

approaches to programmatic and, and, uh,
you know, that that kind of approach.

brendan: Very much, uh, from a, from a
numbers perspective, I, I have no idea.

I'm,

Reed Hansen, MarketSurge: You sure,

brendan: that it will start to over
time, you know, make a big dent in this.

But going back to like how, how
real-time bidding and how advertising,

uh, works today, a lot less of it is
an advertiser like Coca-Cola saying,

I would like to buy ads specifically
on the New York Times, and like, I

Reed Hansen, MarketSurge: right?

brendan: buy these pages.

That still happens.

But it's less, A lot of this
transactions happen in like, through

this bidding mechanism, kind of
like how stocks are exchanged.

Reed Hansen, MarketSurge: Yeah.

brendan: Um, the, you know, New
York Stock Exchange, which is all

virtual and it all happens very,
very quickly in milliseconds.

Um, so when, when ad campaigns,
you know, have objectives and they

have, um, you know, some, some
general direction around like how

they want to bid bidding strategy.

There's a lot of different campaigns
fighting for the same type of

inventory and the delivery side.

There's a lot of inefficiencies in
this whole flow of how an ad actually

shows up against the right content.

And I think what this also enables is
more transparency, more visibility,

more results through the lens of
knowing, specifically from classify

when we're helping an advertiser
show up against the best content.

Ideally that drives a better conversion.

It drives a better click through rate.

You know, it, it, it helps somebody see
an ad that they're actually wanted to

connect with, and it bridges the gap
between what's happening across the open

web performance versus social performance,
which is, which is pretty strong.

Reed Hansen, MarketSurge: Yeah.

brendan: think that bringing
more of the sophisticated tools.

That, you know, you see in social
that drive better outcomes, will

now be enabled by, you know, some
of these new protocols that en allow

these new AI systems like ours.

And there's a lot of really cool
ones in the ecosystem today.

So, you know, play with them all,
learn about all the new startups

that are coming out right now.

Um, but to your point, how that enables.

Sustainability is just through the
general efficiency of knowing that

like we're helping the right ad
show up, you know, against the right

content, and that does drive better
performance for the advertiser.

It drives better revenue for the publisher

Reed Hansen, MarketSurge: No.

brendan: just saves a lot
of waste in the ecosystem.

Reed Hansen, MarketSurge: Yeah.

Well, that's fantastic.

Um, I'm, I'm so excited.

And Brendan, like I said, I'm so excited
that we were able to have you on.

Now, if people would like to reach out
to you, work with classify, maybe have

you as a guest, I, I could imagine that
there will be some interest in that.

Um, where can people find you?

brendan: A couple things.

One, if you wanna just get
a demo and, and kind of

Reed Hansen, MarketSurge: Yeah.

brendan: how our product works,
the website is is try classify.com.

Reed Hansen, MarketSurge: Okay.

brendan: Anybody can go there and
kind of interact with us like you

would in chat GPT and say, I want
to drive sales for Apple iPhones,

you know, to people in Chicago.

Reed Hansen, MarketSurge: Yeah.

Perfect.

brendan: you'll see a very curated
list of, of URLs that, you know, we

would pinpoint advertisements against.

What all this enables is the ability to
kind of have that be a lot more automated,

Reed Hansen, MarketSurge: Okay.

brendan: um, and have that experience
kind of deployable everywhere.

And then to connect, you know, either
connect with this through the webpage.

Uh, my LinkedIn is great.

Uh, it's, you know,
LinkedIn, Brendan Norman.

I'm happy to connect there over, you
know, d dms or you know, just email me.

but yeah, thank you.

It was really great to chat with you.

Reed Hansen, MarketSurge: Yeah.

Thank you so much.

Speaker 2: Want to stay ahead of what's
actually working in marketing right now.

Head over to Market surge.io

and see how we're helping businesses
grow smarter, faster, and louder.

That's market surge.io

because your next breakthrough
shouldn't be a guess.