Speaker A
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
Greg Isenberg and Cody Schneider explain marketing agents and how to deploy them to autonomously grow startups, focusing on AI for WordPress.
Ask about this video. Answers come from its transcript only — with the timestamp, so you can check them.
Generated from the transcript and can be wrong — check the timestamp.
Key Takeaways
- Marketing agents are not fully autonomous AGI but are code-driven systems that optimize marketing based on real-time data.
- Building marketing agents requires a strong data infrastructure including pipelines, warehouses, and cloud hosting.
- AI-enhanced marketing agents can manage entire ad campaigns, from content creation to performance optimization.
- The WordPress ecosystem presents a significant, underexploited opportunity for AI-driven marketing and product innovation.
- Deploying marketing agents can help startups grow revenue autonomously by continuously improving marketing efforts.
What the video covers
- The hardest part of building a startup today is acquiring customers and driving revenue, not coding.
- Marketing agents are autonomous systems that use live business data to make marketing decisions and optimize campaigns.
- A marketing agent requires solving the data problem with unified data pipelines, warehouses, and cloud hosting.
- Marketing agents can fully manage Facebook ads by researching customer pain points, creating content, publishing ads, and optimizing performance.
- Greg pitches a startup idea focused on AI-powered tools for WordPress, a platform powering over 40% of the internet.
- The business model involves bundling WordPress plugins with AI enhancements and selling usage tokens.
- There is a large opportunity to build AI-first versions of popular WordPress plugins like Yoast SEO.
- The episode covers how to deploy marketing agents for specific business types with concrete examples.
- Marketing agents improve marketing efficiency by continuously analyzing data and adjusting strategies autonomously.
- The discussion includes practical tools and infrastructure needed to become a marketing agent manager.
Chapters
- 00:00Introduction: The challenge of acquiring customers for startups
- 02:16Defining marketing agents and their core components
- 04:08Startup idea: AI for WordPress and market opportunity
- 05:54Expanding on AI-first WordPress plugins and business model
- 07:53Marketing agents managing Facebook and Google ads
- 11:54Data sources and infrastructure needed for marketing agents
- 14:18How marketing agents optimize ad performance autonomously
- 18:00Continuous improvement and strategic adjustments with agents
- 21:29Closing thoughts and practical applications of marketing agents
Full Transcript — Download SRT & Markdown
Speaker A
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
Speaker A
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
Speaker A
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.
Speaker A
[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?
Speaker A
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
Speaker A
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
Speaker A
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.
Speaker A
As you say, may the MRR gods be with us. Blessed be thy name. [laughter] Let's go.
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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,
Speaker A
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
Speaker A
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
Speaker A
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.
Speaker A
[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
Speaker A
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.
Speaker A
It's publishing that content into your Facebook ads account. It's turning off the losers. It's promoting the winners.
Speaker A
And then it's going in a feedback loop where it's like, okay, what what is it actually working?
Speaker A
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 'cause it's
Speaker A
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
Speaker A
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.
Speaker A
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
Speaker A
'cause 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.
Speaker A
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?
Speaker A
Like it's I just checked 43% of the internet that are like all websites that are indexed by Google are WordPress websites.
Speaker A
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.
Speaker A
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
Speaker A
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
Speaker A
plugins that people would go and like hodgepodge together. You just bundle that up into a single package.
Speaker A
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
Speaker A
site with this like pre-built in like you know, again forms these these pre-built features.
Speaker A
So, you got me thinking that I actually think that the there's a bigger opportunity here than just the Lovable for WordPress.
Speaker A
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.
Speaker A
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.
Speaker A
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
Speaker A
migration to WordPress. WordPress is happy 'cause they want more people, right? Um, and and time.com is happy 'cause they basically need someone to handhold, uh, through the process.
Speaker A
So, it was a great business. We did like time.com, techcrunch.com, a bunch of big websites.
Speaker A
Um, the amount of money I saw that I in the in the WordPress automatic ecosystem and plugins was absolutely absurd.
Speaker A
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.
Speaker A
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.
Speaker A
The Yoast SEO tool. Do you know about that one? No, yes. I've used it forever ago.
Speaker A
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
Speaker A
first version of that. So, you know, instead of showing you red and
Speaker A
And I'll give you a couple more. WPForms. That was a huge plugin back in the day.
Speaker A
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.
Speaker A
Um WooCommerce, one of the most popular you know, WordPress plugins. Um you know, do like an AI storekeeper.
Speaker A
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
Speaker A
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
Speaker A
know, making it good, making it work. Um and then finding, you know, a distribution channel that you can actually get customers.
Speaker A
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.
Speaker A
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
Speaker A
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.
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
trying to sell to and then send them to a landing page that like describes what the product is. So what is Andromeda?
Speaker A
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
Speaker A
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
Speaker A
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,
Speaker A
jokingly on Twitter I've been saying this a lot and I mean I mean this though from like the bottom of my heart.
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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.
Speaker A
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
Speaker A
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.
Speaker A
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.
Speaker A
Actually, let me stop this and I'll screen share a different way just so that you can just see the window.
Speaker A
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,
Speaker A
like, solves all the plugin problems and makes it so that they can vibe code the design of the website.
Speaker A
The reason you're doing Reddit, by the way, is because there's a real people just complaining, basically.
Speaker A
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.
Speaker A
By people like me that are basically creating the dead internet. Let's be real. It's already happening. I am the problem.
Speaker A
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?
Speaker A
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
Speaker A
found this information, I'd be like rank stack, um, based off of, uh, the most referenced.
Speaker A
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,
Speaker A
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
Speaker A
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
Speaker A
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.
Speaker A
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
Speaker 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
Speaker A
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
Speaker A
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
Speaker A
from Google Nano Banana, I can be I can, you know, basically qualify the like, is the is the text all readable?
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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,
Speaker A
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
Speaker A
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.
Speaker A
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.
Speaker A
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
Speaker A
from [laughter] their Facebook ads account. And that is not the way that you can't use the API in that capacity.
Speaker A
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
Speaker A
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
Speaker A
actual like marketing agent? Like we're going to only probably get through one of these.
Speaker A
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,
Speaker A
you have to build a data pipeline and a warehouse. So, the open-source way to do this is using a tool called Airbyte.
Speaker A
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
Speaker A
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.
Speaker A
And And Cody, can you explain like what is a data warehouse? Like what are these things?
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
three for the sake of time. And I'm putting them all into a data warehouse.
Speaker A
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?
Speaker A
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.
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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,
Speaker A
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,
Speaker A
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
Speaker A
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,
Speaker A
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
Speaker A
revenue right? So, anyway, that is kind of the the the infrastructure that's necessary to actually make these agents function.
Speaker A
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
Speaker A
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,
Speaker A
right? And we are base So, there's like a learning loop that's happening on top of this.
Speaker A
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.
Speaker A
And again, how is it getting that information? It's pulling that information from the data warehouse, right?
Speaker A
It's pulling Okay, what is the worst performing ads? Let's turn those off. The winners live on.
Speaker A
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.
Speaker A
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.
Speaker A
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.
Speaker A
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.
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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.
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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.
Speaker A
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
Speaker A
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,
Speaker A
but yeah, happy to answer questions about that. That was one agent. I I can go down into a deeper one as well. So.
Speaker A
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
Speaker A
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?
Speaker A
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
Speaker A
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.
Speaker A
And they don't realize that uh you actually should be taking the same ad and just like changing the positioning a little bit.
Speaker A
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,
Speaker A
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
Speaker A
plugin. Like maybe the positioning is Yoast is bad. And I, you know, it's just like an anti-Yoast.
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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?
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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
Speaker 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
Speaker A
I start a thing and then I stop a thing. That is not how this works anymore.
Speaker A
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
Speaker A
how quick the the the trends occur now. It's like 10x faster than what it was 20 years ago, right?
Speaker A
[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
Speaker A
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
Speaker A
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.
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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,
Speaker A
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
Speaker A
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
Speaker A
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?
Speaker A
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.
Speaker A
Like, here is literal like agent by agent like descriptions, like showing the actual like structures, talking through the actual campaign structures.
Speaker A
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
Speaker A
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.
Speaker A
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
Speaker A
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
Speaker A
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.
Speaker A
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
Speaker A
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
Speaker A
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
Speaker A
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.
Speaker A
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?
Speaker A
[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
Speaker A
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
Speaker A
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.
Speaker A
I'd love to do that. I think it'd be awesome. So. God bless you, Cody Schneider. You know, I appreciate you.
Speaker A
It was so weird. We'll see you next time and uh yeah, I'm curious to see or hear what people think.
Speaker A
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.
Speaker A
Later.
Topics:marketing agentsstartup growthAI marketingWordPress AIcustomer acquisitionautonomous marketingdata pipelineFacebook ads automationmarketing automationGreg Isenberg
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