11,000 Ads in One Month: Steal This AI Marketer's Workflow

Cody Schneider (0:00)

I think it was in July, we published in the range, I think it was like 11,000 ads.

And this is not like, when I say that, people are like, oh, it's slop, and I'm like, no, this is like brand style guides with iterative loops that it doesn't, it has like a gate basically, where the creative can't pass through the gate unless it meets the brand style guides, right? So I'm gonna say, okay, we're gonna start making ads for Seed Dance. We're gonna use the AI avatars that we have saved that are in the kitchen.

Eric Siu (0:31)

Cool.

Cody Schneider (0:32)

So I'm gonna get that to start running. So to begin, how we actually go and make good quality outputs. And what we're trying to get, it's really three things that we need to have happening. We need to have a voice that sounds realistic. We need to have an avatar that basically matches like the voice and the environment that they're in. This is actually the hardest part, is basically like if somebody is in a car, right? You need an audio track that basically sounds like they're in a car. It can't be studio level quality, otherwise it has this like discrepancy. And so today what I'm doing is I have found this voice on 11 Labs called Natasha. That's what we're going to be using. And then what we're going to be doing as well is basically using these AI avatars.

I'll show you those real quick. So I have five different avatars that are different age demographics and different ethnicities. And the reason for this is because Andromeda, now how it's targeting functions, is it's basically based off of the ad creative. And so the script that we give it and also the avatar that we use is going to basically define who it's going to show the ad to in front of them. And so this is a way for us to, like with all of our campaigns that we're running for clients at this point, unless we're doing account-based marketing, we are targeting all of Facebook and then we're making the creative basically be the positioning element. So historically, you would do interest-based targeting, right? So say you wanted to market the people who have a mountain biking interest because they're trying to sell pedals to them. Instead of doing that now, what you would do is you would make the creative so that it's speaking directly to them. So this workflow that I'm going to show you right now is what we're using for software companies. The outcomes just to kind of show you what that is created. So this is an example of a company. This is demo request booked using this exact strategy basically. So this is them over the last 12 or 3 months. So going into this, to actually pull the scripts and make the scripts, what we're going to do is we're going to scrape Reddit for the pain points and desired outcomes that people have in relationship to whatever the product is that we're trying to sell. So we're going to do this just for graph today for the ease of it. So I'm going to say, use the EXA AI API key to scrape Reddit for the pain points and desired outcomes that somebody would want to buy an AI agent that runs their Google Ads for them. Maybe they dislike their agency or they feel that the agency isn't doing anything unique or different. But again, just source from any of the Reddit threads that you can find in relationship to this. So this is how I'm working continuously in the background now, is basically all of these things are happening simultaneously. And once I figured out the system, like the seed dance system that we have done today, what we're actually going to go do is we can then go and publish that so it's happening on a cadence. So every day, for example, I can have 10 new meat pieces of ad creative, get uploaded into a CBO level campaign and Facebook ads. And those automatically get generated, uploaded. And then I can also create a feedback loop on top of that, where it's basically looking at the conversion data and it's making new creative like the ones that are winning. And we know which creative is that is winning because we've already saved that JSON, we've saved all that work into that database for all of the actions that we're basically like doing or working on. So this is taking forever for some reasons. I'm just going to speed this up and just use perplexity. I'm going to say scrape Reddit for the pain points and desired outcomes of why somebody would buy an AI agent that runs their Google Ads automatically for them.