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Marketing Agents Are Too Good Now

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Marketing Agents Are Too Good Now

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1127 segments

0:00

Let's be real, the hardest part about

0:02

building a startup today is getting

0:04

customers to the startup. You can vibe

0:07

code stuff now super easily, we all know

0:09

that, but getting customers to drive

0:11

revenue is hard. So, how can you

0:13

actually set up marketing agents that

0:16

help you do this? I feel like a bunch of

0:18

people have talked about this, but no

0:20

one's really gone in depth and clearly

0:22

explained what a marketing agent is and

0:24

how you can use it to go [music] and get

0:26

you customers. In today's episode, it's

0:29

two parts. We give you a startup idea

0:31

that I really love, and then we also

0:34

explain what marketing agents are, how

0:36

you can set them up, what are the tools

0:38

you need to understand if you actually

0:41

want to be a marketing agent manager,

0:43

>> [music]

0:43

>> and Cody Schneider just does an

0:45

incredible job on this episode of

0:47

explaining everything end to end.

0:49

>> [music]

0:50

>> Um so, enjoy the episode and I'll see

0:52

you at the end.

0:55

>> [music]

1:00

>> Thank the good lord that Cody Schneider

1:03

is back on the podcast. Uh Cody, by the

1:06

end of the episode, what are people

1:08

going to get out of this?

1:09

>> Yeah, I'm going to show you and tell

1:12

like share everything that you need to

1:13

actually deploy real marketing agents,

1:16

and I'm not talking about some like

1:17

Zapier automation workflow that's

1:19

linear. I'm talking about like code in

1:22

the cloud that's making decisions off of

1:24

your live business data. And then I'm

1:25

also going to give you three businesses

1:28

um that are concrete so you can

1:30

basically feel like, okay, what these

1:32

agents actually look like for a specific

1:34

company type. So, you're going to walk

1:35

away with three business ideas and also

1:38

the agents that you should potentially

1:41

deploy for them, how to actually deploy

1:43

them for them, uh so you can grow the

1:44

company autonomously.

1:46

>> As you say, may the MRR gods be with us.

1:50

>> Blessed be thy name.

1:52

>> [laughter]

1:52

>> Let's go.

1:53

>> Awesome, man. Cool. So, I think just to

1:56

start out, like what is a marketing

1:58

agent, right? Like I see this thrown

2:00

around so much and it drives me nuts and

2:02

I've talked to so many people and that I

2:05

you know, talk huge game on the internet

2:07

and then you would like actually get

2:08

down to the brass tacks with them on a

2:09

conversation. You're like, you're so

2:12

full of just to be blunt. So, to me

2:15

like what is it what is a marketing

2:16

agent? It has to be three things. It's

2:18

like you have to solve the data problem

2:20

to like give the agent unified data

2:23

clarity of like the whole pipeline. Um

2:25

and then you have to be able to have the

2:27

agent

2:28

like autonomously making decisions

2:31

um you know, on some type of cadence

2:33

like with like a thinking loop in it,

2:34

right? Um so, in practice like the

2:36

infrastructure that's necessary for

2:37

that. You got to build a data pipeline,

2:39

a data warehouse and then have like the

2:40

ability to host these agents in the

2:42

cloud. And when I say an agent, like it

2:43

doesn't have to be this like AGI Hermes

2:47

thing, right? It like where it can think

2:49

on its own. I actually don't want that.

2:50

Like I want something that is like doing

2:52

a process for me and then looking at the

2:54

data and then basically like improving

2:56

based off of the data that's getting

2:57

back from it. So, I just want to like

2:59

define that really quickly um for the

3:02

audience because I think that there's so

3:04

much out there that's like this is a

3:06

totally autonomous agent that's like

3:07

running your your like entire marketing

3:10

stack and it's like no, it's not.

3:11

>> [laughter]

3:12

>> Like this end-to-end workflow I

3:13

guarantee you is not entirely running

3:16

your marketing stack, but in contrast

3:18

like I can and we like we'll talk about

3:20

this today. Like you can make an agent

3:22

entirely run Facebook ads now. And I'm

3:24

talking about like it is researching the

3:26

pain points. It is researching the

3:28

outcomes of your target customer. It's

3:31

making creative that's on brand both

3:33

statics and also like AI avatar UGC.

3:37

It's publishing that content into your

3:39

Facebook ads account. It's turning off

3:41

the losers. It's promoting the winners.

3:44

And then it's going in a feedback loop

3:45

where it's like, okay, what what is it

3:47

actually working?

3:49

And how do I go and basically make more

3:51

content like the best performers? And

3:52

I'll talk through all of that today and

3:53

try to show you as much as I can. It's

3:55

not not really easy to show cuz it's

3:57

just like code.

3:58

But anyway, we'll go through that. So,

4:00

yeah, and then just to jump into that

4:02

the first business that I want to talk

4:03

about to use is kind of like a just a a

4:06

sandbox for like how would you actually

4:08

build and deploy these agents for this

4:10

like this company type

4:12

is AI for WordPress. I've talked about

4:14

this before online, but like I have

4:17

actually pitched like three startup

4:18

founders this that are like we got into

4:20

YC, we don't know what to pivot into.

4:23

And I just they always just like are

4:25

like no, I don't want to do this. So, I

4:26

just want to hit on this idea. So, let

4:28

me let me just screen share real quick

4:29

and kind of show you the data for this

4:30

cuz I think it's just fascinating and I

4:32

think it's such a huge category that

4:34

like nobody is talking about right now

4:37

or that like nobody's really executing

4:38

on.

4:39

>> And before people's like eyes glaze over

4:41

and they and they tune this out,

4:44

WordPress is bigger than you think. So,

4:46

>> powers like 50% plus of the internet,

4:49

right?

4:49

>> Like it's I just checked 43% of the

4:52

internet

4:53

>> that are like

4:54

>> All websites.

4:55

>> that are indexed by Google are WordPress

4:57

websites.

4:57

>> No one's building stuff for WordPress.

4:59

>> It's insane, man. It's insane. And it's

5:01

like it's such an easy space to compete

5:03

in. It's kind of blue ocean for this.

5:04

And all I'm going to pitch to you today

5:05

is like literally it's just lovable or

5:07

anything.com

5:09

but for WordPress, right? So, you're

5:11

just

5:12

>> [laughter]

5:12

>> all you're doing is you're making it so

5:15

that people can like vibe code their

5:17

website, but like on top of the

5:19

WordPress platform. And then the

5:22

business structure is super simple. It's

5:23

like hey, you get all this stack. Like

5:25

you get forms solved. You get like, you

5:28

know, maybe a CRM. You like all of these

5:30

plugins that people would go and like

5:32

hodgepodge together.

5:34

You just bundle that up into a single

5:36

package.

5:37

And then you sell tokens.

5:40

So, it's like whatever, you know, base

5:41

tier is $29 a month. That gets you x

5:43

amount of tokens. And then that makes

5:44

you so that you can go and basically

5:46

like, you know, build out design the

5:48

site with this like pre-built in like

5:51

you know, again forms these these

5:52

pre-built features.

5:54

>> So,

5:55

you got me thinking that I actually

5:58

think that the there's a bigger

5:59

opportunity here than just the Lovable

6:02

for WordPress.

6:04

Because and you don't know this about

6:06

me, but back when I was 19 years old,

6:09

2000 and I don't know, I'm bad with

6:12

math, he was like 11 or something.

6:14

Um I was a partner in an agency and the

6:17

agency's job

6:19

was basically to get people

6:22

off

6:23

their existing CMS and move it to

6:25

WordPress.

6:27

And we were officially partnered with

6:29

WordPress on doing that. So, if you

6:30

called WordPress and you're like

6:32

time.com Time magazine, you're on some

6:34

custom CMS,

6:36

they would they would be like work with

6:38

Greg and team to move and do the

6:41

migration to WordPress. WordPress is

6:42

happy cuz they want more people, right?

6:45

Um and and time.com is happy cuz they

6:50

basically need someone to handhold

6:52

uh

6:53

through the process.

6:55

So,

6:56

it was a great business. We did like

6:58

time.com, techcrunch.com, a bunch of big

7:00

websites.

7:01

Um the amount of money I saw that I in

7:04

the in the

7:06

WordPress automatic ecosystem and

7:08

plugins was absolutely absurd.

7:10

So, what you got me thinking about is

7:13

you know,

7:14

the the play is basically how do you

7:16

find plugins that have validated demand

7:21

that don't have an AI component and

7:23

building the AI first version of each.

7:26

Cuz

7:27

you already know that, you know, there's

7:28

proven demand, people are paying for it,

7:31

and then you just make them 10x better

7:33

with Agent. So, I'll give you uh a

7:35

couple of examples.

7:37

The Yoast SEO tool. Do you know about

7:39

that one?

7:40

>> No, yes. I've used it forever ago.

7:43

>> Forever ago, right? I think it was I

7:45

think it's a guy named Joost. I I I

7:47

could be wrong, but I think it's a guy

7:49

named Joost. There is no way that they

7:51

have you know, that they have an AI

7:53

first version of that. So, you know,

7:55

instead of showing you red and green

7:57

dots and telling you to fix things

7:58

yourself, just have an agent do it. It

8:00

writes the meta,

8:02

it restructures the content, it adds the

8:04

internal links, like make it AI first.

8:06

And I'll give you a couple more.

8:08

WPForms.

8:11

That was a huge plugin back in the day.

8:13

Make an AI form that talks back. So,

8:15

instead of doing like a static form, you

8:17

do like a conversational agent that

8:19

qualifies a lead and answers questions.

8:21

Um WooCommerce, one of the most popular

8:25

you know, WordPress plugins.

8:27

Um you know, do like an AI storekeeper.

8:30

So, it automatically writes product

8:32

descriptions, abandoned cart flows,

8:35

you know, it it can go on and on. Um

8:38

another another one is Akismet, which is

8:40

the spam plugin. Like there's just so

8:42

many. So, all you have to do

8:44

>> Wordfence security, like there's it's

8:46

just endless, right? There are so many

8:48

of these.

8:49

>> There's so many

8:51

and people are paying for it. 43% of the

8:54

internet is

8:55

is uh is powered by it. The hard part is

9:01

is obviously building the product, you

9:03

know, making it good, making it work.

9:06

Um and then finding, you know,

9:09

a distribution channel

9:12

that you can actually get customers.

9:15

>> Totally. And I think that again, the the

9:17

bundling of all this is where the

9:18

opportunity is. It's like, okay, I'm

9:20

going to give you all like all the

9:21

plugins that you would normally be

9:22

paying for.

9:23

Instead of the aggregate of those 10

9:25

that are necessary,

9:27

now you pay a tenth of the cost, you

9:29

know, or a fifth of the cost, and I'm

9:31

going to give you everything, and you're

9:32

going to also be able to like vibe code

9:34

to the design of this, right? Like that

9:35

is the business opportunity here.

9:38

And then to your point, like how do you

9:39

market this, right? And

9:41

this is where

9:43

this gets so fun.

9:44

Like I'm having the most fun in my

9:46

entire career right now with what we're

9:48

doing. And so I can't wait to like share

9:50

this with you guys, but anyway, so the

9:52

like how when I think of look at this

9:53

company, like

9:55

where do you meet the people that are

9:57

like trying to learn like how do I do

9:58

this or how do I, you know,

10:00

do this work with my WordPress site? Um

10:02

so like Facebook ads and Google ads are

10:04

going to be the first two places that

10:05

you can go to. And I'm going to talk

10:06

through a bunch of different things,

10:07

different opportunities,

10:09

um but this is just like we're going to

10:10

just run down the list of all the things

10:12

that you could do and here's how to

10:13

deploy agents for them. So

10:15

on the Facebook ad side, so for for

10:17

targeting on Facebook anymore, um after

10:19

Andromeda, you don't do interest-based

10:21

targeting. Historically how I would

10:22

probably do this is I would actually go

10:24

and I would target people who have a

10:25

WordPress interest on Facebook ads.

10:28

Um now you don't need to do that. You

10:30

just basically have to make ad creative

10:33

that is talking to the pain points or

10:35

the outcomes of the person that you're

10:36

trying to sell to and then send them to

10:38

a landing page that like describes what

10:40

the product is. So what is Andromeda?

10:42

What how does it work? And like what

10:44

what

10:45

what do you need to know about this? So

10:46

Andromeda is uh Facebook's new like ad

10:50

algorithm, right? It basically it

10:51

decides what ads get shown to what

10:53

people

10:54

and how it functions is the uh

10:57

the AI is basically looking at the ad

10:59

creative

11:00

and it's understanding, okay, like what

11:02

is in the static ad? What is the what is

11:04

the image? What is the text? What is the

11:06

video? What's in the video? What's the

11:08

script of the video? And then it also

11:09

understands the landing page that it's

11:11

sending the people to. And then from

11:14

that, it basically uses that information

11:17

to decide what ad gets shown to what

11:19

person on the platform. So I, you know,

11:22

jokingly on Twitter I've been saying

11:23

this a lot and I mean I mean this though

11:25

from like the bottom of my heart.

11:26

Facebook has turned into the best B2B

11:29

ads channel and that exists right now.

11:31

And the reason for this is like we'll

11:33

make these ads that are so obscure. Like

11:36

it it's like maybe there's like 10

11:38

people in the in the US, right? That

11:40

like would would would be having this

11:42

problem right now.

11:44

Um and Facebook will find those people

11:46

and show that ad to it and we'll get

11:47

that lead like a qualified lead for a

11:49

B2B business. It's ridiculous. So,

11:51

anyway, to take a step back to the the

11:53

WordPress side like this AI for

11:54

WordPress thing. What you end up doing

11:57

and like I can already see what the

11:58

creative looks like. Like the script

12:00

then does ends up being like something

12:01

like this. Like, "Oh this is kind of

12:03

crazy. I used to be paying my agency a

12:05

thousand dollars a month to maintain my

12:07

WordPress site and they were not

12:09

responsive and they never like actually

12:12

could do the designs that I wanted. But

12:14

I just found this

12:16

this this plugin for WordPress that

12:18

makes it so that I can chat with AI to

12:21

change my website and it concludes all

12:24

these plugins that I used to have to pay

12:25

extra money for. It's just a part of it

12:27

for free. Click the link to learn more."

12:29

If you run an ad like that,

12:32

Facebook is going to automatically

12:33

identify, okay, these people are

12:35

WordPress website owners.

12:38

They have this problem. It's going to

12:39

show that to them and then you basically

12:41

set up a conversion event for the sign

12:44

up action, for the payment action that's

12:47

deeper within the funnel. So, how do you

12:49

actually do all of that? Like I'm just

12:50

I'm talking through all this.

12:52

Let's just like go into this deep and

12:55

you know break down like what this

12:56

actually looks like from an imaging

12:57

perspective. So,

12:59

>> [sighs and gasps]

12:59

>> Okay, so the first thing is researching

13:02

the pain points of your target customer.

13:05

I'm just going to use Perplexity for

13:06

this cuz I've just found that it's it's

13:08

easy to do live like sharing this.

13:11

Actually, let me stop this and I'll

13:13

screen share a different way just so

13:14

that you can just see the window.

13:16

Um

13:17

and

13:19

for this we're just going to do like

13:20

scrape Reddit.

13:23

Uh pain points

13:25

and outcomes uh,

13:28

people that run WordPress websites, uh,

13:30

have, um,

13:31

for like why would they buy an AI, uh,

13:34

WordPress, uh, tool that basically,

13:36

like, solves all the plugin problems and

13:38

makes it so that they can vibe code the

13:40

design of the website.

13:41

>> The reason you're doing Reddit, by the

13:43

way, is because there's a real people

13:47

just complaining, basically.

13:49

>> Exactly. That's exactly why it is. It's

13:51

basically dialogue and again, a lot like

13:54

Reddit is being eroded right now

13:56

by people manipulating it for like LLMs

13:58

to rank on them. Um, but this is a way

14:01

>> like you.

14:02

>> By people like me that are basically

14:04

creating the dead internet. Let's be

14:05

real. It's already happening. I am the

14:07

problem.

14:08

Um, but with this though, what it

14:10

enables is you basically can identify

14:12

like what are the problems that they're

14:15

facing and then from this, this crew,

14:18

uh, basically seeds the creative that I

14:20

want that I that I go and make, right?

14:23

So, I found these pain points, right?

14:25

Let's like pull out, you know,

14:27

one of these that makes sense. Um,

14:31

so content workflows,

14:33

customization requires development

14:35

skills, right? Like this is one that you

14:37

could talk to. Um,

14:39

what I would then go do, is like once I

14:41

found this information, I'd be like rank

14:43

stack, um, based off of, uh,

14:46

the most referenced.

14:51

Just to give us like what are the top

14:52

three? And then once I've identified

14:54

that, so the plugin layer, most

14:56

referenced. This is the biggest pain

14:58

point for people. Awesome. That is what

15:00

ads are going to be about. Um,

15:02

performance and speed. Cool. Can we make

15:04

this super lightweight? Can we use

15:05

something like Astro, um, to actually

15:08

like serve it so the content's really

15:09

fast? Security and maintenance. Okay,

15:12

how do I make it so they never have to

15:13

think about plugin security again, so

15:15

that their site doesn't, you know,

15:16

randomly get gambling ads on it and then

15:19

get de-indexed by Google for their pest

15:21

control business, right? So, with this,

15:24

what I then go do is I'm going to use uh

15:27

Kai AI

15:28

um is what uh uh

15:31

uh we're using right now for all of our

15:33

image generation. Basically, just all of

15:34

the image models uh and video models in

15:37

the same place.

15:38

And so, with this, I can then go and

15:40

bulk generate static creative. And the

15:43

way that we found to do this uh is you

15:45

basically give it an example of an ad

15:48

that is already being ran by either a

15:50

competitor by somebody like, you know,

15:52

somebody in a

15:53

a tangentially related industry.

15:56

And we're just using Google Nano Banana

15:57

for this. Um so,

16:00

the agent then, again, is generating

16:02

this creative using the static. You can

16:05

make this as advanced as you want. This

16:07

is what we're doing a lot now so that it

16:08

always hits brand style guides. And what

16:10

do I mean by brand style guides? That's

16:12

like, what are the fonts that need to be

16:13

used? What are the colors that need to

16:15

be used? All of these specifics about

16:17

the company, about the brand, right?

16:19

Um so, with this, uh you basically can

16:23

put a vision model over the outputs

16:26

and be like, "Hey, does this match brand

16:28

style guides?" So, what I'm getting back

16:30

from Google Nano Banana, I can be I can,

16:32

you know, basically qualify the like, is

16:35

the is the text all readable?

16:37

Um you know, does are the fonts that are

16:39

being used actually on brand, etc. Um

16:41

and then from that, uh you basically

16:44

have this way to make statics. And then

16:45

on the video side, what we're still

16:47

using and still seeing great results

16:49

with, which is crazy to me cuz it's not

16:51

even the best, is HeyGen.

16:53

Um

16:54

but we're starting to experience more

16:56

and more with Seedance, and this is like

16:58

where this is all going to go. It's just

16:59

hard to do the stitching across uh like

17:02

Seedance like for longer, you know,

17:04

30-second videos. You can only do up to

17:06

I I believe it's 9 seconds, don't quote

17:08

me on that, but it's it's less than

17:09

that. So, you basically have to like

17:10

stitch these frames together is the

17:12

challenge. But, this is where this will

17:14

end up going. And then it's just like AI

17:16

avatar UGC that's talking about the pain

17:19

points or outcomes that you just

17:22

extracted from what people are saying

17:24

online. And

17:25

everything that I'm describing here,

17:28

this is just an agent that's done this

17:30

work, right? It is an agent that's done

17:32

this research. It's an agent that is

17:34

calling doing the API calls to actually

17:36

build out the creative. Um and then from

17:39

there, how do we actually get it into

17:41

Facebook ads, right? So, to get it into

17:44

Facebook ads, then what we're going and

17:45

doing is we need to use what's called

17:47

the Facebook marketing API.

17:50

And you probably, if you're online at

17:52

all and not living under a rock, you've

17:53

probably seen tons of people where it's

17:54

like, I got my Facebook ads account

17:57

banned, right? Because I was using an

17:59

agent with it.

18:00

The agent is not the reason it got

18:02

banned, all right? The reason it got

18:04

banned is because they violated TOS and

18:07

they spammed the API because they were

18:09

trying to pull in like, you know,

18:11

hundreds of millions of rows of data

18:13

from [laughter] their Facebook ads

18:14

account. And that is not the way that

18:17

you can't use the API in that capacity.

18:19

Like it's literally like that that

18:21

that's against Facebook TOS. That is the

18:23

problem. So, how you actually use the

18:26

Facebook ads API is you use the API only

18:31

for rights, like only to publish content

18:34

to the Facebook ads account or to turn

18:38

off or to um

18:40

uh

18:40

uh basically like promote ads and I'll

18:42

talk about that more in a second. And

18:44

this I'm realizing and just based on

18:46

time, this whole video is just going to

18:47

be like, how do you build uh like an

18:50

actual like marketing agent? Like we're

18:51

going to only probably get through one

18:53

of these.

18:54

Um if you want more content like this,

18:55

this is all I talk about on the

18:57

internet, so just like go follow me

18:58

across channels and this is what I

19:00

share, but um anyway, with this so, the

19:04

to solve the data analytics problem,

19:07

you have to build a data pipeline and a

19:09

warehouse. So, the open-source way to do

19:11

this is using a tool called Airbyte.

19:13

You can host this like you know

19:15

anywhere. You can literally have Claude

19:17

code go and do this for you, right? Set

19:19

this up. And then you can use a data

19:21

warehouse called ClickHouse. These are

19:22

both open source solutions that you can

19:24

self-host. And I'm just giving you those

19:25

as the as like you know the the the way

19:29

that that is totally accessible to

19:31

anybody.

19:32

>> And And Cody, can you explain like

19:34

what is a data warehouse? Like what are

19:36

these things?

19:37

>> absolutely. So a data warehouse is a way

19:40

to unify all of your data sources

19:43

into a single location so that your

19:46

agent has the ability to understand all

19:49

of the data in context with all like all

19:52

channels in context or all data sources

19:54

in context with all the other data

19:56

sources. So I'll give you specifics.

19:57

That was a very like you know broad way

19:59

to explain it. So say for example, I'm

20:01

running Facebook ads. How do I actually

20:03

run effective Facebook ads? I need to do

20:04

probably four things. I need to have my

20:06

Facebook ads data. I need to have my

20:08

Google Analytics data. I need to have

20:10

probably my Posthog data, maybe my my

20:13

CRM data, so like my HubSpot data. And

20:15

then I also need to probably have like

20:17

my Stripe data to understand the entire

20:19

stack of like I ran ads and did

20:21

customers come out the other side,

20:23

right? And then how do I actually tie

20:26

the literal specific ad that is driving

20:28

revenue for the company, right? This is

20:30

how you do that. It's by having this

20:33

data warehouse that has all of the data

20:35

in a single place. Now, to get all of

20:37

that data into a single place, you have

20:39

to build a data pipeline. And so Airbyte

20:42

is a data pipeline solution. It's

20:44

self-hosted

20:45

and it enables you basically they have

20:47

all these pre-built connectors

20:50

that enable you to pipe all of your data

20:53

into a data warehouse. So when you think

20:54

about like you know visually how this is

20:56

happening, we can just like TL draw this

20:58

real quick to actually show you. It

21:00

basically what I am doing is I am giving

21:05

my agents. So say I have, you know,

21:08

these like five

21:10

different data sources

21:12

um that I'm pulling from. We'll just do

21:14

three for the sake of time. And I'm

21:17

putting them all into a data warehouse.

21:20

And that data warehouse, I'm then giving

21:23

my agents access to it. So, imagine I

21:27

have this agent here that can read this

21:31

information. It's back and forth, right?

21:34

And this is the Facebook Ads agent.

21:39

And this Facebook Ads agent,

21:42

um how it works is it basically is

21:44

looking at that data stream.

21:47

And then it is making updates within

21:52

Facebook Ads,

21:53

right?

21:55

And then that Facebook Ads data is going

21:58

back to

22:01

like

22:02

where we're pulling from, which goes

22:03

back and basically back into the data

22:05

warehouse. Actually, this is probably

22:06

more like this. Like back into the data

22:08

warehouse, right? And so, this is how

22:10

I'm creating this like loop that is

22:12

basically learning, right? Um I'm giving

22:15

the agent access to the live business

22:17

data, access to the live stream. Also,

22:19

what this enables for you as a business

22:21

owner is you can also interact with this

22:25

within your Cloud Code, within your

22:27

Codex, whatever that is, right? And

22:31

whatever your daily driver is. And the

22:33

reason that you want this is you can

22:35

have conversational analytics and also

22:37

build like custom dashboards with this

22:40

data, right? So, you can literally ask

22:42

like, "Okay, like we're like we're

22:44

having trouble like say you're again

22:46

pest control company

22:48

uh or or uh we'll say um

22:51

I don't know, something like your

22:52

commercial HVAC. Like we're having

22:53

trouble hitting payroll this month. Like

22:55

what is going wrong?"

22:56

>> [laughter]

22:56

>> It's like, "Oh, your accounts

22:57

receivables are like off." You can

22:59

literally have those conversations with

23:01

your marketing data, with your business

23:02

data. This is the way that you can

23:04

enable both yourself and your team to be

23:06

able to do this, right?

23:08

So, how do you actually

23:10

how do you actually set this up? So,

23:12

we've got the data pipeline in the

23:13

warehouse solution. Now, for hosting the

23:15

agents,

23:16

everybody's doing this already like

23:18

locally with like their cloud code and

23:20

they like I I mean I've seen these crazy

23:21

setups where it's like, yeah, I'm

23:23

deploying these solutions onto you know,

23:26

my Mac mini that I bought for open claw,

23:28

but now it's actually just like working

23:30

as a server. Like you don't have to use

23:32

a Mac mini locally as a server to do

23:34

this, all right? You can just deploy

23:36

this into the any cloud and be into

23:38

Heroku, it can be into Railway, it can

23:40

be into like any of these solutions. And

23:42

again, I'm just giving options that are

23:44

available. But basically, an agent is

23:46

just code under the hood, right? It's

23:48

just a decision tree that's like, cool,

23:50

here's a live data stream. I have some

23:52

like decision loop that's happening

23:54

where an LLM is thinking and then I'm

23:56

basically having an optimized for an

23:58

outcome, which for most companies is

24:00

like, how do I make the business more

24:01

revenue, right?

24:03

So, anyway, that is kind of the the

24:07

the infrastructure that's necessary to

24:09

actually make these agents function.

24:11

Once you've got this whole thing set up,

24:14

what is possible, just to give you like

24:16

a scope of this, and we're doing this

24:17

for companies right now, is you can

24:20

actually like create So, for example,

24:22

like for one company we're doing two

24:25

different ad sets per day, five ads per

24:28

ad set.

24:30

They automatically get uploaded into

24:31

Facebook ads based off of all the

24:33

research that we've done

24:36

and also the data that exists within the

24:38

data warehouse like of what has worked,

24:41

right?

24:42

And we

24:44

are base So, there's like a learning

24:45

loop that's happening on top of this.

24:47

The

24:49

agent is looking at, okay, I published

24:51

these 10 ads and lets it run for like a

24:53

2 to 3-day window for like it's just get

24:55

initial signal. It turns off the worst

24:58

performing ads.

24:59

And again, how is it getting that

25:01

information? It's pulling that

25:02

information from the data warehouse,

25:03

right?

25:05

It's pulling Okay, what is the worst

25:07

performing ads?

25:09

Let's turn those off. The winners live

25:11

on.

25:12

And then the winning ad sets, they go

25:15

into a winners pool, and they're

25:16

competing against each other for the ad

25:18

budget that's available.

25:21

And then over the top of that, you can

25:22

have a vision model or honestly, like

25:24

how we're doing this is we build a

25:26

database

25:27

of all the ads that we have created.

25:30

And it's literally like the JSON prompts

25:32

that we're sending to Nano Banana or the

25:35

ad scripts that we're using and we're

25:37

sending to H and or Seed Dance.

25:39

And that is what we are letting the

25:42

agent analyze of like, okay, what is

25:44

actually working so that it can it can

25:46

go and, you know, basically become more

25:48

effective at making creative that

25:50

creates outcomes.

25:51

So, the problem that happens with this

25:53

here and again, I'm going to get into

25:54

the weeds talk through a lot of this,

25:56

you know,

25:57

in in detail just to

25:58

share the the issues that come up. Is

26:00

you have to solve for entropy. So, like

26:01

what is entropy? It's like basically the

26:03

agent gets stuck thinking in the same

26:04

way. So, how do you solve for that? The

26:07

two ways that we found that we can solve

26:08

for it is you can use the Facebook Ads

26:10

Library

26:12

to pull

26:13

ads from competitors' libraries.

26:16

And that basically like puts new DNA

26:19

into the system. So, you're basically

26:20

feeding that source text that you did

26:22

that research on. And then the other

26:24

thing that we found to work is taking

26:26

YouTube transcripts and also podcast

26:29

transcripts and basically pulling out

26:33

the insights from those. There's like

26:35

hundreds of YouTube channels that are

26:36

just designated to like, you know, for

26:38

example, WordPress. You can pull out the

26:41

insights from those and then run ads

26:43

basically off of off of those insights

26:45

that you aggregate. So, this is a way to

26:46

solve that that that that, you know,

26:48

kind of like entry problem.

26:50

But what this ends up looking like in

26:52

the in the you know, the final form is

26:54

like it's like a virtual employee, Greg,

26:56

is the best way to describe it. This

26:58

virtual employee, all it's doing is

27:00

focusing on Facebook ads as the channel

27:02

and how it can actually like operate and

27:04

function is because it has all the

27:06

necessary data it needs to think through

27:09

what is actually driving like outcomes

27:11

that we are like that are that are drive

27:14

business revenue, right? And this is

27:16

where all this is going. Like I it's so

27:17

funny. I talked to like so many

27:19

marketers on a weekly basis and they're

27:20

all like, "Is my job secure?" I'm like,

27:22

"I don't know. Like, can you do this?"

27:24

Like, this is what this turns into is

27:25

like, your job now becomes like I'm an

27:29

agent jockey. You're taking your domain

27:31

knowledge that you have, and you're

27:33

basically like building this into code.

27:35

And like, I'm not technical, right?

27:37

Like, I can set this up now. Like, the

27:39

models are smart enough now where like a

27:41

semi-technical person or just if you

27:43

have access to Claude code, and

27:45

literally just give it the transcript

27:46

that I just like, you know, we just

27:47

created on this call, and be like,

27:49

"Okay, I want to set this up. Walk me

27:50

through this process." Like, you can go

27:52

and build out this solution. Like, that

27:54

is the the possibility here. So, anyway,

27:56

but yeah, happy to answer questions

27:58

about that. That was one agent. I I can

27:59

go down into a deeper one as well. So.

28:01

>> Okay. Yeah, and I think um

28:04

taking a step back, it's like, well, why

28:06

are I I know it's crazy to say this, but

28:08

why are Facebook ads important? Well,

28:10

okay, if you're going to steal an idea

28:12

from this podcast or come in come up

28:13

with an idea on your own, you're going

28:14

to vibe code something

28:16

um that you think has value in the

28:18

world. The biggest question I get is,

28:20

how do I actually get customers to this

28:23

thing?

28:24

Um and the truth is,

28:28

Facebook is the most cost-efficient way

28:30

to do it. Um if you don't want to go and

28:32

create content, which takes time

28:35

to actually,

28:37

you know, build an audience. Like, I I

28:40

still I still think that people should

28:41

create content, but at the same time,

28:44

be thinking about, how can I create an

28:46

you know, an ad set that is going to

28:48

perform? Now, what people the mistake

28:51

that people make is they try a few ads,

28:54

it doesn't work, so they give up.

28:57

And they don't realize that

28:59

uh

29:00

you actually should be taking the same

29:02

ad and just like changing the

29:06

positioning a little bit.

29:08

Um because

29:11

and and and changing it a little bit

29:13

like 10 times or 15 times or 20 times,

29:15

right? And what happens is like I'm

29:19

shocked sometimes with some of the

29:20

Facebook ads that I do and I'm like,

29:22

wow, I didn't think that this ad set was

29:24

actually going to work. This positioning

29:25

was going to work. Like for example,

29:28

you know, let's say we wanted to do that

29:30

WordPress uh plugin idea. And let's say

29:33

we wanted to compete with Yoast, the SEO

29:35

plugin. Like maybe the positioning is

29:38

Yoast is bad. And I, you know, it's just

29:40

like an anti-Yoast.

29:42

You know, and and you never would have

29:44

thought that.

29:44

>> do work rather than doing work for you,

29:46

right? Like there's a great there's so

29:48

many angles that you can pull out of

29:50

that. To your point, too, I just want to

29:51

piggyback off of this. Like I think a

29:53

lot of people come into marketing and

29:55

advertising and they're like, I know

29:57

what the market wants. I'm going to

29:58

impose this idea on the market. That is

30:01

not how this works, right? We're not Don

30:03

Draper.

30:04

>> [laughter]

30:04

>> We are like putting

30:06

creative into the market. Like why is

30:08

why is paid ads the most Like why is

30:11

Facebook ads, why is Google Why are they

30:13

the most powerful assets? Like why the

30:14

most powerful marketing channels that

30:16

have ever existed? I can go and test a

30:18

thousand different ad creatives and like

30:21

I'm going to have clear delineation on

30:23

like what is winning and what is being

30:25

the most What is the market most

30:27

receptive to, right? And you're going to

30:29

know that within 48 hours. And I see

30:31

this all the time where like oh they're

30:32

like oh I don't want to go run ads. I

30:34

don't want to like I only want to do

30:35

organic, right? Or like how do you grow?

30:37

It's only by word of mouth. I'm like

30:39

this is such a that's such a rookie way

30:41

to look at the market. Like you should

30:43

be doing all of it, number one. Number

30:45

two, like you need to think about how

30:47

does this like this is the only system

30:50

where I put a dollar in and like $5 can

30:53

potentially come out the other side and

30:56

I can just keep feeding that ATM where

30:58

it's like I just keep putting money in

31:00

and that same, you know, volume will

31:02

come like that same multiplier will come

31:04

out the other end. So anyway, just a

31:06

>> And and so what's changed, like why I

31:09

now am into Facebook ads honestly is

31:12

because of the systems that you're

31:13

describing. So like in the past, if you

31:16

were a founder and you wanted to do what

31:19

you're talking about, you had to hire an

31:21

agency that would cost you tens of

31:22

thousands of dollars a month to go and

31:24

run this at scale. Now, you just need to

31:27

set up the system that you talked about

31:31

and of course it needs to be fine-tuned,

31:33

of course there needs to be it needs to

31:35

work, right? Of course you need to solve

31:37

for entropy which I'm happy you spoke

31:39

about cuz no one speaks about that.

31:41

People are like, "Oh yeah, you set it up

31:42

and then it's just good it's good."

31:43

Like, "No, dude, that's lit

31:45

The the people that say that have never

31:47

set up

31:47

>> [laughter]

31:47

>> So they're the opposite.

31:49

>> Have you have The people that say that

31:50

have never set up

31:52

anything, right? Cuz

31:55

uh

31:56

as soon as you it might feel good like

31:58

on day one but on day two it gets a

32:00

little worse and day three and four and

32:01

five until you get this point where

32:02

you're like

32:03

>> choice, man. I think that's the thing

32:04

that people like have the hardest like

32:06

when you think about marketing, like

32:08

people think about it in campaigns. Like

32:10

I start a thing and then I stop a thing.

32:12

That is not how this works anymore.

32:14

Like how marketing actually functions

32:15

now is like you're continuously doing

32:18

this and because the feedback loops are

32:20

so fast like I mean when you look a

32:22

great example of this is if you just

32:24

look at like the fashion industry, like

32:25

how quick the the the trends occur now.

32:28

It's like 10x faster than what it was 20

32:31

years ago, right?

32:32

>> [laughter]

32:32

>> Than what it was in like the early

32:33

2000s. And so when you think about that

32:36

and apply that to everything, like how

32:39

quick the market moves,

32:41

you have to basically have like,

32:44

you know, some type of observability of

32:46

what's happening.

32:47

So, that you are adjusting your, you

32:50

know, ads, your positioning, your all of

32:52

the strategy that you have across your

32:54

your your go-to-market based off of

32:56

those trends that are that are are

32:57

basically like evolving. And where does

32:59

all this happening, right? It's all on

33:00

short-form social. Like that is where

33:02

all this kind of originates from and

33:03

then trickles down and everything else.

33:05

So, you can actually do this, right?

33:06

There's another way to solve this entry

33:08

problem. You can use tools like Viral

33:10

Loop. They have an API. Basically, it's

33:12

like it scrapes, uh,

33:14

like all of TikTok and I think they're

33:16

doing Instagram Reels now. Don't quote

33:17

me on that. Um, but basically, I can be

33:19

like, "Hey, show me all of the most

33:21

viral like posts that are in the beauty

33:23

category from the last week." Cool. What

33:25

are there

33:26

Are there trends that are happening

33:27

here? Are there like certain concept

33:30

formats that are happening here? And can

33:31

I use that information to basically

33:34

influence the creative output that I'm

33:36

doing? Yeah, 100% you can do that. This

33:37

is again like how you can how it's this

33:40

push and pull with the market that

33:41

you're doing constantly, right? And like

33:43

agents for the first time have can

33:44

enable you to do that. Like what I just

33:46

If I wanted to go and create 100 ads,

33:48

right, and get that into Facebook Ads,

33:51

like that is probably like 2 weeks of

33:53

work, right, historically. And now you,

33:56

as a founder, like literally in the next

33:58

hour and a half, you can have this whole

34:01

system that I just described set up and

34:04

be able to actually go and publish this

34:06

content like at scale with the

34:08

understanding of what's actually

34:10

working. And maybe there's a human in

34:11

the loop to begin with, but like what

34:13

this gets to is like you're going to

34:14

understand like this is what's actually

34:16

functioning. Cool, I now want an agent

34:18

to go and run this. I deploy an agent

34:19

into the cloud with the necessary data

34:21

stream that it needs so that it can

34:23

actually make these decisions. So,

34:26

Cody, what else did you want to cover?

34:28

Dude, I have so much. I have to jump in

34:29

2 minutes though, so

34:31

>> [laughter]

34:31

>> I'm like,

34:32

it's um, kind of bummed. Um

34:34

>> I think so, folks comment if you want

34:37

more marketing and

34:38

>> back and just do a whole series on this.

34:40

Like, here is literal like agent by

34:42

agent like descriptions, like showing

34:44

the actual like structures, talking

34:46

through the actual campaign structures.

34:48

Um if that is what people want, like

34:51

this is again all I'm thinking about

34:53

right now. This is all I do from when I

34:55

wake up to when I go to bed at the

34:57

moment cuz

34:58

I'm obsessed with it and it's

34:59

uncomfortable how like it's a compulsion

35:01

and this is not really a choice. So,

35:03

anyways, yeah. Greg, I didn't mean to

35:05

cut you off.

35:06

>> No, no, no.

35:08

Uh let us know. I think like

35:10

it, you know, people like I said, people

35:13

want to figure out ways how they can use

35:15

AI agents to get them customers. Um so,

35:19

I think marrying like here's a couple

35:20

ideas with here's some here's some

35:22

agents is going to be helpful for folks.

35:24

>> Let me rattle off some and then you

35:26

comment what you want and we'll come

35:29

back and we'll do this. Right. So, I can

35:30

we can do Google Ads agents that are

35:32

entirely running your Google Ads

35:33

accounts. We can do influencer outreach

35:36

agents that are researching influencers

35:38

within your category, cold emailing

35:40

them, and then negotiating the pricing

35:43

with them, and hand raising for when,

35:44

you know, they think it's a good person.

35:46

We can do cold email of like how do I go

35:48

and find all of the customers, you know,

35:51

that I'm trying to sell to, find their

35:52

email addresses, how like cold email

35:55

them, and then have an agent managing

35:57

that inbox, like responding to them to

35:59

book meetings.

36:00

We can do TikTok real farms where we're

36:02

basically like making 10 TikTok accounts

36:05

in the cloud and then at scale making

36:07

slideshows that are related to your

36:09

product, scheduling those and posting

36:11

and aggregating all of the views across

36:13

that. We can do um

36:16

what are some of the other things? We

36:17

can do SEO agents that are doing keyword

36:20

research, researching the article,

36:22

writing the article, having the article

36:24

be on brand for your voice, like how do

36:26

you actually give it a unique

36:28

perspective or point of view so that it

36:30

has that like, you know, basically

36:32

personality to it so that it actually

36:34

ranks well and it's like good to read.

36:36

We can talk about AI search and how do

36:38

you build citations? How do you actually

36:41

do cold outreach to get your brand

36:43

listed on the citations that are already

36:45

being shown in the category that you're

36:46

in?

36:47

>> [snorts]

36:47

>> We can talk about social media

36:48

management and like how do you get an

36:50

agent to run your LinkedIn account, to

36:52

run Twitter accounts? We can talk about

36:54

how do you get agents to build email

36:56

newsletters

36:57

that are related to podcasts and

36:59

actually research the podcast, write the

37:01

podcast script, use 11 Labs voices to

37:05

read the podcast script and then build

37:07

lead magnets to build an email list on

37:10

the top of that podcast for an industry

37:12

like e-commerce. So, you comment what

37:14

you want to learn, I'll come back, I'll

37:15

share all the things that we're seeing

37:17

and all the things that we're deploying.

37:19

I'd love to do that. I think it'd be

37:20

awesome. So.

37:21

>> God bless you, Cody Schneider. You know,

37:23

I appreciate you.

37:24

>> It was so weird.

37:27

>> We'll see you next time and uh

37:30

yeah, I'm curious to see or hear what

37:31

people think.

37:32

>> Yeah, if people have questions, let me

37:34

know too. I'm

37:36

active on Twitter and LinkedIn. Those

37:38

are the biggest places. And

37:40

companiesgraph.com, all this work that I

37:42

just talked about, that's where we're

37:43

doing this. So, thanks for having me, G.

37:45

>> Later.

Interactive Summary

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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