Marketing Agents Are Too Good Now
1127 segments
Let's be real, the hardest part about
building a startup today is getting
customers to the startup. You can vibe
code stuff now super easily, we all know
that, but getting customers to drive
revenue is hard. So, how can you
actually set up marketing agents that
help you do this? I feel like a bunch of
people have talked about this, but no
one's really gone in depth and clearly
explained what a marketing agent is and
how you can use it to go [music] and get
you customers. In today's episode, it's
two parts. We give you a startup idea
that I really love, and then we also
explain what marketing agents are, how
you can set them up, what are the tools
you need to understand if you actually
want to be a marketing agent manager,
>> [music]
>> and Cody Schneider just does an
incredible job on this episode of
explaining everything end to end.
>> [music]
>> Um so, enjoy the episode and I'll see
you at the end.
>> [music]
>> Thank the good lord that Cody Schneider
is back on the podcast. Uh Cody, by the
end of the episode, what are people
going to get out of this?
>> Yeah, I'm going to show you and tell
like share everything that you need to
actually deploy real marketing agents,
and I'm not talking about some like
Zapier automation workflow that's
linear. I'm talking about like code in
the cloud that's making decisions off of
your live business data. And then I'm
also going to give you three businesses
um that are concrete so you can
basically feel like, okay, what these
agents actually look like for a specific
company type. So, you're going to walk
away with three business ideas and also
the agents that you should potentially
deploy for them, how to actually deploy
them for them, uh so you can grow the
company autonomously.
>> As you say, may the MRR gods be with us.
>> Blessed be thy name.
>> [laughter]
>> Let's go.
>> Awesome, man. Cool. So, I think just to
start out, like what is a marketing
agent, right? Like I see this thrown
around so much and it drives me nuts and
I've talked to so many people and that I
you know, talk huge game on the internet
and then you would like actually get
down to the brass tacks with them on a
conversation. You're like, you're so
full of just to be blunt. So, to me
like what is it what is a marketing
agent? It has to be three things. It's
like you have to solve the data problem
to like give the agent unified data
clarity of like the whole pipeline. Um
and then you have to be able to have the
agent
like autonomously making decisions
um you know, on some type of cadence
like with like a thinking loop in it,
right? Um so, in practice like the
infrastructure that's necessary for
that. You got to build a data pipeline,
a data warehouse and then have like the
ability to host these agents in the
cloud. And when I say an agent, like it
doesn't have to be this like AGI Hermes
thing, right? It like where it can think
on its own. I actually don't want that.
Like I want something that is like doing
a process for me and then looking at the
data and then basically like improving
based off of the data that's getting
back from it. So, I just want to like
define that really quickly um for the
audience because I think that there's so
much out there that's like this is a
totally autonomous agent that's like
running your your like entire marketing
stack and it's like no, it's not.
>> [laughter]
>> Like this end-to-end workflow I
guarantee you is not entirely running
your marketing stack, but in contrast
like I can and we like we'll talk about
this today. Like you can make an agent
entirely run Facebook ads now. And I'm
talking about like it is researching the
pain points. It is researching the
outcomes of your target customer. It's
making creative that's on brand both
statics and also like AI avatar UGC.
It's publishing that content into your
Facebook ads account. It's turning off
the losers. It's promoting the winners.
And then it's going in a feedback loop
where it's like, okay, what what is it
actually working?
And how do I go and basically make more
content like the best performers? And
I'll talk through all of that today and
try to show you as much as I can. It's
not not really easy to show cuz it's
just like code.
But anyway, we'll go through that. So,
yeah, and then just to jump into that
the first business that I want to talk
about to use is kind of like a just a a
sandbox for like how would you actually
build and deploy these agents for this
like this company type
is AI for WordPress. I've talked about
this before online, but like I have
actually pitched like three startup
founders this that are like we got into
YC, we don't know what to pivot into.
And I just they always just like are
like no, I don't want to do this. So, I
just want to hit on this idea. So, let
me let me just screen share real quick
and kind of show you the data for this
cuz I think it's just fascinating and I
think it's such a huge category that
like nobody is talking about right now
or that like nobody's really executing
on.
>> And before people's like eyes glaze over
and they and they tune this out,
WordPress is bigger than you think. So,
>> powers like 50% plus of the internet,
right?
>> Like it's I just checked 43% of the
internet
>> that are like
>> All websites.
>> that are indexed by Google are WordPress
websites.
>> No one's building stuff for WordPress.
>> It's insane, man. It's insane. And it's
like it's such an easy space to compete
in. It's kind of blue ocean for this.
And all I'm going to pitch to you today
is like literally it's just lovable or
anything.com
but for WordPress, right? So, you're
just
>> [laughter]
>> all you're doing is you're making it so
that people can like vibe code their
website, but like on top of the
WordPress platform. And then the
business structure is super simple. It's
like hey, you get all this stack. Like
you get forms solved. You get like, you
know, maybe a CRM. You like all of these
plugins that people would go and like
hodgepodge together.
You just bundle that up into a single
package.
And then you sell tokens.
So, it's like whatever, you know, base
tier is $29 a month. That gets you x
amount of tokens. And then that makes
you so that you can go and basically
like, you know, build out design the
site with this like pre-built in like
you know, again forms these these
pre-built features.
>> So,
you got me thinking that I actually
think that the there's a bigger
opportunity here than just the Lovable
for WordPress.
Because and you don't know this about
me, but back when I was 19 years old,
2000 and I don't know, I'm bad with
math, he was like 11 or something.
Um I was a partner in an agency and the
agency's job
was basically to get people
off
their existing CMS and move it to
WordPress.
And we were officially partnered with
WordPress on doing that. So, if you
called WordPress and you're like
time.com Time magazine, you're on some
custom CMS,
they would they would be like work with
Greg and team to move and do the
migration to WordPress. WordPress is
happy cuz they want more people, right?
Um and and time.com is happy cuz they
basically need someone to handhold
uh
through the process.
So,
it was a great business. We did like
time.com, techcrunch.com, a bunch of big
websites.
Um the amount of money I saw that I in
the in the
WordPress automatic ecosystem and
plugins was absolutely absurd.
So, what you got me thinking about is
you know,
the the play is basically how do you
find plugins that have validated demand
that don't have an AI component and
building the AI first version of each.
Cuz
you already know that, you know, there's
proven demand, people are paying for it,
and then you just make them 10x better
with Agent. So, I'll give you uh a
couple of examples.
The Yoast SEO tool. Do you know about
that one?
>> No, yes. I've used it forever ago.
>> Forever ago, right? I think it was I
think it's a guy named Joost. I I I
could be wrong, but I think it's a guy
named Joost. There is no way that they
have you know, that they have an AI
first version of that. So, you know,
instead of showing you red and green
dots and telling you to fix things
yourself, just have an agent do it. It
writes the meta,
it restructures the content, it adds the
internal links, like make it AI first.
And I'll give you a couple more.
WPForms.
That was a huge plugin back in the day.
Make an AI form that talks back. So,
instead of doing like a static form, you
do like a conversational agent that
qualifies a lead and answers questions.
Um WooCommerce, one of the most popular
you know, WordPress plugins.
Um you know, do like an AI storekeeper.
So, it automatically writes product
descriptions, abandoned cart flows,
you know, it it can go on and on. Um
another another one is Akismet, which is
the spam plugin. Like there's just so
many. So, all you have to do
>> Wordfence security, like there's it's
just endless, right? There are so many
of these.
>> There's so many
and people are paying for it. 43% of the
internet is
is uh is powered by it. The hard part is
is obviously building the product, you
know, making it good, making it work.
Um and then finding, you know,
a distribution channel
that you can actually get customers.
>> Totally. And I think that again, the the
bundling of all this is where the
opportunity is. It's like, okay, I'm
going to give you all like all the
plugins that you would normally be
paying for.
Instead of the aggregate of those 10
that are necessary,
now you pay a tenth of the cost, you
know, or a fifth of the cost, and I'm
going to give you everything, and you're
going to also be able to like vibe code
to the design of this, right? Like that
is the business opportunity here.
And then to your point, like how do you
market this, right? And
this is where
this gets so fun.
Like I'm having the most fun in my
entire career right now with what we're
doing. And so I can't wait to like share
this with you guys, but anyway, so the
like how when I think of look at this
company, like
where do you meet the people that are
like trying to learn like how do I do
this or how do I, you know,
do this work with my WordPress site? Um
so like Facebook ads and Google ads are
going to be the first two places that
you can go to. And I'm going to talk
through a bunch of different things,
different opportunities,
um but this is just like we're going to
just run down the list of all the things
that you could do and here's how to
deploy agents for them. So
on the Facebook ad side, so for for
targeting on Facebook anymore, um after
Andromeda, you don't do interest-based
targeting. Historically how I would
probably do this is I would actually go
and I would target people who have a
WordPress interest on Facebook ads.
Um now you don't need to do that. You
just basically have to make ad creative
that is talking to the pain points or
the outcomes of the person that you're
trying to sell to and then send them to
a landing page that like describes what
the product is. So what is Andromeda?
What how does it work? And like what
what
what do you need to know about this? So
Andromeda is uh Facebook's new like ad
algorithm, right? It basically it
decides what ads get shown to what
people
and how it functions is the uh
the AI is basically looking at the ad
creative
and it's understanding, okay, like what
is in the static ad? What is the what is
the image? What is the text? What is the
video? What's in the video? What's the
script of the video? And then it also
understands the landing page that it's
sending the people to. And then from
that, it basically uses that information
to decide what ad gets shown to what
person on the platform. So I, you know,
jokingly on Twitter I've been saying
this a lot and I mean I mean this though
from like the bottom of my heart.
Facebook has turned into the best B2B
ads channel and that exists right now.
And the reason for this is like we'll
make these ads that are so obscure. Like
it it's like maybe there's like 10
people in the in the US, right? That
like would would would be having this
problem right now.
Um and Facebook will find those people
and show that ad to it and we'll get
that lead like a qualified lead for a
B2B business. It's ridiculous. So,
anyway, to take a step back to the the
WordPress side like this AI for
WordPress thing. What you end up doing
and like I can already see what the
creative looks like. Like the script
then does ends up being like something
like this. Like, "Oh this is kind of
crazy. I used to be paying my agency a
thousand dollars a month to maintain my
WordPress site and they were not
responsive and they never like actually
could do the designs that I wanted. But
I just found this
this this plugin for WordPress that
makes it so that I can chat with AI to
change my website and it concludes all
these plugins that I used to have to pay
extra money for. It's just a part of it
for free. Click the link to learn more."
If you run an ad like that,
Facebook is going to automatically
identify, okay, these people are
WordPress website owners.
They have this problem. It's going to
show that to them and then you basically
set up a conversion event for the sign
up action, for the payment action that's
deeper within the funnel. So, how do you
actually do all of that? Like I'm just
I'm talking through all this.
Let's just like go into this deep and
you know break down like what this
actually looks like from an imaging
perspective. So,
>> [sighs and gasps]
>> Okay, so the first thing is researching
the pain points of your target customer.
I'm just going to use Perplexity for
this cuz I've just found that it's it's
easy to do live like sharing this.
Actually, let me stop this and I'll
screen share a different way just so
that you can just see the window.
Um
and
for this we're just going to do like
scrape Reddit.
Uh pain points
and outcomes uh,
people that run WordPress websites, uh,
have, um,
for like why would they buy an AI, uh,
WordPress, uh, tool that basically,
like, solves all the plugin problems and
makes it so that they can vibe code the
design of the website.
>> The reason you're doing Reddit, by the
way, is because there's a real people
just complaining, basically.
>> Exactly. That's exactly why it is. It's
basically dialogue and again, a lot like
Reddit is being eroded right now
by people manipulating it for like LLMs
to rank on them. Um, but this is a way
>> like you.
>> By people like me that are basically
creating the dead internet. Let's be
real. It's already happening. I am the
problem.
Um, but with this though, what it
enables is you basically can identify
like what are the problems that they're
facing and then from this, this crew,
uh, basically seeds the creative that I
want that I that I go and make, right?
So, I found these pain points, right?
Let's like pull out, you know,
one of these that makes sense. Um,
so content workflows,
customization requires development
skills, right? Like this is one that you
could talk to. Um,
what I would then go do, is like once I
found this information, I'd be like rank
stack, um, based off of, uh,
the most referenced.
Just to give us like what are the top
three? And then once I've identified
that, so the plugin layer, most
referenced. This is the biggest pain
point for people. Awesome. That is what
ads are going to be about. Um,
performance and speed. Cool. Can we make
this super lightweight? Can we use
something like Astro, um, to actually
like serve it so the content's really
fast? Security and maintenance. Okay,
how do I make it so they never have to
think about plugin security again, so
that their site doesn't, you know,
randomly get gambling ads on it and then
get de-indexed by Google for their pest
control business, right? So, with this,
what I then go do is I'm going to use uh
Kai AI
um is what uh uh
uh we're using right now for all of our
image generation. Basically, just all of
the image models uh and video models in
the same place.
And so, with this, I can then go and
bulk generate static creative. And the
way that we found to do this uh is you
basically give it an example of an ad
that is already being ran by either a
competitor by somebody like, you know,
somebody in a
a tangentially related industry.
And we're just using Google Nano Banana
for this. Um so,
the agent then, again, is generating
this creative using the static. You can
make this as advanced as you want. This
is what we're doing a lot now so that it
always hits brand style guides. And what
do I mean by brand style guides? That's
like, what are the fonts that need to be
used? What are the colors that need to
be used? All of these specifics about
the company, about the brand, right?
Um so, with this, uh you basically can
put a vision model over the outputs
and be like, "Hey, does this match brand
style guides?" So, what I'm getting back
from Google Nano Banana, I can be I can,
you know, basically qualify the like, is
the is the text all readable?
Um you know, does are the fonts that are
being used actually on brand, etc. Um
and then from that, uh you basically
have this way to make statics. And then
on the video side, what we're still
using and still seeing great results
with, which is crazy to me cuz it's not
even the best, is HeyGen.
Um
but we're starting to experience more
and more with Seedance, and this is like
where this is all going to go. It's just
hard to do the stitching across uh like
Seedance like for longer, you know,
30-second videos. You can only do up to
I I believe it's 9 seconds, don't quote
me on that, but it's it's less than
that. So, you basically have to like
stitch these frames together is the
challenge. But, this is where this will
end up going. And then it's just like AI
avatar UGC that's talking about the pain
points or outcomes that you just
extracted from what people are saying
online. And
everything that I'm describing here,
this is just an agent that's done this
work, right? It is an agent that's done
this research. It's an agent that is
calling doing the API calls to actually
build out the creative. Um and then from
there, how do we actually get it into
Facebook ads, right? So, to get it into
Facebook ads, then what we're going and
doing is we need to use what's called
the Facebook marketing API.
And you probably, if you're online at
all and not living under a rock, you've
probably seen tons of people where it's
like, I got my Facebook ads account
banned, right? Because I was using an
agent with it.
The agent is not the reason it got
banned, all right? The reason it got
banned is because they violated TOS and
they spammed the API because they were
trying to pull in like, you know,
hundreds of millions of rows of data
from [laughter] their Facebook ads
account. And that is not the way that
you can't use the API in that capacity.
Like it's literally like that that
that's against Facebook TOS. That is the
problem. So, how you actually use the
Facebook ads API is you use the API only
for rights, like only to publish content
to the Facebook ads account or to turn
off or to um
uh
uh basically like promote ads and I'll
talk about that more in a second. And
this I'm realizing and just based on
time, this whole video is just going to
be like, how do you build uh like an
actual like marketing agent? Like we're
going to only probably get through one
of these.
Um if you want more content like this,
this is all I talk about on the
internet, so just like go follow me
across channels and this is what I
share, but um anyway, with this so, the
to solve the data analytics problem,
you have to build a data pipeline and a
warehouse. So, the open-source way to do
this is using a tool called Airbyte.
You can host this like you know
anywhere. You can literally have Claude
code go and do this for you, right? Set
this up. And then you can use a data
warehouse called ClickHouse. These are
both open source solutions that you can
self-host. And I'm just giving you those
as the as like you know the the the way
that that is totally accessible to
anybody.
>> And And Cody, can you explain like
what is a data warehouse? Like what are
these things?
>> absolutely. So a data warehouse is a way
to unify all of your data sources
into a single location so that your
agent has the ability to understand all
of the data in context with all like all
channels in context or all data sources
in context with all the other data
sources. So I'll give you specifics.
That was a very like you know broad way
to explain it. So say for example, I'm
running Facebook ads. How do I actually
run effective Facebook ads? I need to do
probably four things. I need to have my
Facebook ads data. I need to have my
Google Analytics data. I need to have
probably my Posthog data, maybe my my
CRM data, so like my HubSpot data. And
then I also need to probably have like
my Stripe data to understand the entire
stack of like I ran ads and did
customers come out the other side,
right? And then how do I actually tie
the literal specific ad that is driving
revenue for the company, right? This is
how you do that. It's by having this
data warehouse that has all of the data
in a single place. Now, to get all of
that data into a single place, you have
to build a data pipeline. And so Airbyte
is a data pipeline solution. It's
self-hosted
and it enables you basically they have
all these pre-built connectors
that enable you to pipe all of your data
into a data warehouse. So when you think
about like you know visually how this is
happening, we can just like TL draw this
real quick to actually show you. It
basically what I am doing is I am giving
my agents. So say I have, you know,
these like five
different data sources
um that I'm pulling from. We'll just do
three for the sake of time. And I'm
putting them all into a data warehouse.
And that data warehouse, I'm then giving
my agents access to it. So, imagine I
have this agent here that can read this
information. It's back and forth, right?
And this is the Facebook Ads agent.
And this Facebook Ads agent,
um how it works is it basically is
looking at that data stream.
And then it is making updates within
Facebook Ads,
right?
And then that Facebook Ads data is going
back to
like
where we're pulling from, which goes
back and basically back into the data
warehouse. Actually, this is probably
more like this. Like back into the data
warehouse, right? And so, this is how
I'm creating this like loop that is
basically learning, right? Um I'm giving
the agent access to the live business
data, access to the live stream. Also,
what this enables for you as a business
owner is you can also interact with this
within your Cloud Code, within your
Codex, whatever that is, right? And
whatever your daily driver is. And the
reason that you want this is you can
have conversational analytics and also
build like custom dashboards with this
data, right? So, you can literally ask
like, "Okay, like we're like we're
having trouble like say you're again
pest control company
uh or or uh we'll say um
I don't know, something like your
commercial HVAC. Like we're having
trouble hitting payroll this month. Like
what is going wrong?"
>> [laughter]
>> It's like, "Oh, your accounts
receivables are like off." You can
literally have those conversations with
your marketing data, with your business
data. This is the way that you can
enable both yourself and your team to be
able to do this, right?
So, how do you actually
how do you actually set this up? So,
we've got the data pipeline in the
warehouse solution. Now, for hosting the
agents,
everybody's doing this already like
locally with like their cloud code and
they like I I mean I've seen these crazy
setups where it's like, yeah, I'm
deploying these solutions onto you know,
my Mac mini that I bought for open claw,
but now it's actually just like working
as a server. Like you don't have to use
a Mac mini locally as a server to do
this, all right? You can just deploy
this into the any cloud and be into
Heroku, it can be into Railway, it can
be into like any of these solutions. And
again, I'm just giving options that are
available. But basically, an agent is
just code under the hood, right? It's
just a decision tree that's like, cool,
here's a live data stream. I have some
like decision loop that's happening
where an LLM is thinking and then I'm
basically having an optimized for an
outcome, which for most companies is
like, how do I make the business more
revenue, right?
So, anyway, that is kind of the the
the infrastructure that's necessary to
actually make these agents function.
Once you've got this whole thing set up,
what is possible, just to give you like
a scope of this, and we're doing this
for companies right now, is you can
actually like create So, for example,
like for one company we're doing two
different ad sets per day, five ads per
ad set.
They automatically get uploaded into
Facebook ads based off of all the
research that we've done
and also the data that exists within the
data warehouse like of what has worked,
right?
And we
are base So, there's like a learning
loop that's happening on top of this.
The
agent is looking at, okay, I published
these 10 ads and lets it run for like a
2 to 3-day window for like it's just get
initial signal. It turns off the worst
performing ads.
And again, how is it getting that
information? It's pulling that
information from the data warehouse,
right?
It's pulling Okay, what is the worst
performing ads?
Let's turn those off. The winners live
on.
And then the winning ad sets, they go
into a winners pool, and they're
competing against each other for the ad
budget that's available.
And then over the top of that, you can
have a vision model or honestly, like
how we're doing this is we build a
database
of all the ads that we have created.
And it's literally like the JSON prompts
that we're sending to Nano Banana or the
ad scripts that we're using and we're
sending to H and or Seed Dance.
And that is what we are letting the
agent analyze of like, okay, what is
actually working so that it can it can
go and, you know, basically become more
effective at making creative that
creates outcomes.
So, the problem that happens with this
here and again, I'm going to get into
the weeds talk through a lot of this,
you know,
in in detail just to
share the the issues that come up. Is
you have to solve for entropy. So, like
what is entropy? It's like basically the
agent gets stuck thinking in the same
way. So, how do you solve for that? The
two ways that we found that we can solve
for it is you can use the Facebook Ads
Library
to pull
ads from competitors' libraries.
And that basically like puts new DNA
into the system. So, you're basically
feeding that source text that you did
that research on. And then the other
thing that we found to work is taking
YouTube transcripts and also podcast
transcripts and basically pulling out
the insights from those. There's like
hundreds of YouTube channels that are
just designated to like, you know, for
example, WordPress. You can pull out the
insights from those and then run ads
basically off of off of those insights
that you aggregate. So, this is a way to
solve that that that that, you know,
kind of like entry problem.
But what this ends up looking like in
the in the you know, the final form is
like it's like a virtual employee, Greg,
is the best way to describe it. This
virtual employee, all it's doing is
focusing on Facebook ads as the channel
and how it can actually like operate and
function is because it has all the
necessary data it needs to think through
what is actually driving like outcomes
that we are like that are that are drive
business revenue, right? And this is
where all this is going. Like I it's so
funny. I talked to like so many
marketers on a weekly basis and they're
all like, "Is my job secure?" I'm like,
"I don't know. Like, can you do this?"
Like, this is what this turns into is
like, your job now becomes like I'm an
agent jockey. You're taking your domain
knowledge that you have, and you're
basically like building this into code.
And like, I'm not technical, right?
Like, I can set this up now. Like, the
models are smart enough now where like a
semi-technical person or just if you
have access to Claude code, and
literally just give it the transcript
that I just like, you know, we just
created on this call, and be like,
"Okay, I want to set this up. Walk me
through this process." Like, you can go
and build out this solution. Like, that
is the the possibility here. So, anyway,
but yeah, happy to answer questions
about that. That was one agent. I I can
go down into a deeper one as well. So.
>> Okay. Yeah, and I think um
taking a step back, it's like, well, why
are I I know it's crazy to say this, but
why are Facebook ads important? Well,
okay, if you're going to steal an idea
from this podcast or come in come up
with an idea on your own, you're going
to vibe code something
um that you think has value in the
world. The biggest question I get is,
how do I actually get customers to this
thing?
Um and the truth is,
Facebook is the most cost-efficient way
to do it. Um if you don't want to go and
create content, which takes time
to actually,
you know, build an audience. Like, I I
still I still think that people should
create content, but at the same time,
be thinking about, how can I create an
you know, an ad set that is going to
perform? Now, what people the mistake
that people make is they try a few ads,
it doesn't work, so they give up.
And they don't realize that
uh
you actually should be taking the same
ad and just like changing the
positioning a little bit.
Um because
and and and changing it a little bit
like 10 times or 15 times or 20 times,
right? And what happens is like I'm
shocked sometimes with some of the
Facebook ads that I do and I'm like,
wow, I didn't think that this ad set was
actually going to work. This positioning
was going to work. Like for example,
you know, let's say we wanted to do that
WordPress uh plugin idea. And let's say
we wanted to compete with Yoast, the SEO
plugin. Like maybe the positioning is
Yoast is bad. And I, you know, it's just
like an anti-Yoast.
You know, and and you never would have
thought that.
>> do work rather than doing work for you,
right? Like there's a great there's so
many angles that you can pull out of
that. To your point, too, I just want to
piggyback off of this. Like I think a
lot of people come into marketing and
advertising and they're like, I know
what the market wants. I'm going to
impose this idea on the market. That is
not how this works, right? We're not Don
Draper.
>> [laughter]
>> We are like putting
creative into the market. Like why is
why is paid ads the most Like why is
Facebook ads, why is Google Why are they
the most powerful assets? Like why the
most powerful marketing channels that
have ever existed? I can go and test a
thousand different ad creatives and like
I'm going to have clear delineation on
like what is winning and what is being
the most What is the market most
receptive to, right? And you're going to
know that within 48 hours. And I see
this all the time where like oh they're
like oh I don't want to go run ads. I
don't want to like I only want to do
organic, right? Or like how do you grow?
It's only by word of mouth. I'm like
this is such a that's such a rookie way
to look at the market. Like you should
be doing all of it, number one. Number
two, like you need to think about how
does this like this is the only system
where I put a dollar in and like $5 can
potentially come out the other side and
I can just keep feeding that ATM where
it's like I just keep putting money in
and that same, you know, volume will
come like that same multiplier will come
out the other end. So anyway, just a
>> And and so what's changed, like why I
now am into Facebook ads honestly is
because of the systems that you're
describing. So like in the past, if you
were a founder and you wanted to do what
you're talking about, you had to hire an
agency that would cost you tens of
thousands of dollars a month to go and
run this at scale. Now, you just need to
set up the system that you talked about
and of course it needs to be fine-tuned,
of course there needs to be it needs to
work, right? Of course you need to solve
for entropy which I'm happy you spoke
about cuz no one speaks about that.
People are like, "Oh yeah, you set it up
and then it's just good it's good."
Like, "No, dude, that's lit
The the people that say that have never
set up
>> [laughter]
>> So they're the opposite.
>> Have you have The people that say that
have never set up
anything, right? Cuz
uh
as soon as you it might feel good like
on day one but on day two it gets a
little worse and day three and four and
five until you get this point where
you're like
>> choice, man. I think that's the thing
that people like have the hardest like
when you think about marketing, like
people think about it in campaigns. Like
I start a thing and then I stop a thing.
That is not how this works anymore.
Like how marketing actually functions
now is like you're continuously doing
this and because the feedback loops are
so fast like I mean when you look a
great example of this is if you just
look at like the fashion industry, like
how quick the the the trends occur now.
It's like 10x faster than what it was 20
years ago, right?
>> [laughter]
>> Than what it was in like the early
2000s. And so when you think about that
and apply that to everything, like how
quick the market moves,
you have to basically have like,
you know, some type of observability of
what's happening.
So, that you are adjusting your, you
know, ads, your positioning, your all of
the strategy that you have across your
your your go-to-market based off of
those trends that are that are are
basically like evolving. And where does
all this happening, right? It's all on
short-form social. Like that is where
all this kind of originates from and
then trickles down and everything else.
So, you can actually do this, right?
There's another way to solve this entry
problem. You can use tools like Viral
Loop. They have an API. Basically, it's
like it scrapes, uh,
like all of TikTok and I think they're
doing Instagram Reels now. Don't quote
me on that. Um, but basically, I can be
like, "Hey, show me all of the most
viral like posts that are in the beauty
category from the last week." Cool. What
are there
Are there trends that are happening
here? Are there like certain concept
formats that are happening here? And can
I use that information to basically
influence the creative output that I'm
doing? Yeah, 100% you can do that. This
is again like how you can how it's this
push and pull with the market that
you're doing constantly, right? And like
agents for the first time have can
enable you to do that. Like what I just
If I wanted to go and create 100 ads,
right, and get that into Facebook Ads,
like that is probably like 2 weeks of
work, right, historically. And now you,
as a founder, like literally in the next
hour and a half, you can have this whole
system that I just described set up and
be able to actually go and publish this
content like at scale with the
understanding of what's actually
working. And maybe there's a human in
the loop to begin with, but like what
this gets to is like you're going to
understand like this is what's actually
functioning. Cool, I now want an agent
to go and run this. I deploy an agent
into the cloud with the necessary data
stream that it needs so that it can
actually make these decisions. So,
Cody, what else did you want to cover?
Dude, I have so much. I have to jump in
2 minutes though, so
>> [laughter]
>> I'm like,
it's um, kind of bummed. Um
>> I think so, folks comment if you want
more marketing and
>> back and just do a whole series on this.
Like, here is literal like agent by
agent like descriptions, like showing
the actual like structures, talking
through the actual campaign structures.
Um if that is what people want, like
this is again all I'm thinking about
right now. This is all I do from when I
wake up to when I go to bed at the
moment cuz
I'm obsessed with it and it's
uncomfortable how like it's a compulsion
and this is not really a choice. So,
anyways, yeah. Greg, I didn't mean to
cut you off.
>> No, no, no.
Uh let us know. I think like
it, you know, people like I said, people
want to figure out ways how they can use
AI agents to get them customers. Um so,
I think marrying like here's a couple
ideas with here's some here's some
agents is going to be helpful for folks.
>> Let me rattle off some and then you
comment what you want and we'll come
back and we'll do this. Right. So, I can
we can do Google Ads agents that are
entirely running your Google Ads
accounts. We can do influencer outreach
agents that are researching influencers
within your category, cold emailing
them, and then negotiating the pricing
with them, and hand raising for when,
you know, they think it's a good person.
We can do cold email of like how do I go
and find all of the customers, you know,
that I'm trying to sell to, find their
email addresses, how like cold email
them, and then have an agent managing
that inbox, like responding to them to
book meetings.
We can do TikTok real farms where we're
basically like making 10 TikTok accounts
in the cloud and then at scale making
slideshows that are related to your
product, scheduling those and posting
and aggregating all of the views across
that. We can do um
what are some of the other things? We
can do SEO agents that are doing keyword
research, researching the article,
writing the article, having the article
be on brand for your voice, like how do
you actually give it a unique
perspective or point of view so that it
has that like, you know, basically
personality to it so that it actually
ranks well and it's like good to read.
We can talk about AI search and how do
you build citations? How do you actually
do cold outreach to get your brand
listed on the citations that are already
being shown in the category that you're
in?
>> [snorts]
>> We can talk about social media
management and like how do you get an
agent to run your LinkedIn account, to
run Twitter accounts? We can talk about
how do you get agents to build email
newsletters
that are related to podcasts and
actually research the podcast, write the
podcast script, use 11 Labs voices to
read the podcast script and then build
lead magnets to build an email list on
the top of that podcast for an industry
like e-commerce. So, you comment what
you want to learn, I'll come back, I'll
share all the things that we're seeing
and all the things that we're deploying.
I'd love to do that. I think it'd be
awesome. So.
>> God bless you, Cody Schneider. You know,
I appreciate you.
>> It was so weird.
>> We'll see you next time and uh
yeah, I'm curious to see or hear what
people think.
>> Yeah, if people have questions, let me
know too. I'm
active on Twitter and LinkedIn. Those
are the biggest places. And
companiesgraph.com, all this work that I
just talked about, that's where we're
doing this. So, thanks for having me, G.
>> Later.
Ask follow-up questions or revisit key timestamps.
The episode addresses the significant challenge of customer acquisition for startups and introduces AI marketing agents as a solution. It details how these agents can be set up using essential infrastructure like data pipelines (e.g., Airbyte) and data warehouses (e.g., ClickHouse) to autonomously manage marketing campaigns. The discussion includes a promising startup idea, "AI for WordPress," which involves creating AI-first versions of popular WordPress plugins for the large, underserved WordPress market. The podcast specifically explains how AI agents can comprehensively manage Facebook ads, from creative generation and targeting (leveraging Facebook's Andromeda algorithm) to performance optimization and problem-solving techniques like addressing "entropy" in their learning loops. Ultimately, it highlights how these agents enable rapid, scalable, and cost-effective customer acquisition, transforming the role of marketers into
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