Have you ever, you know, built something really
great, something you poured hours into, convinced
it would make a difference, and then you launch
it and it's just crickets. It happens a lot,
right? This assumption that quality alone is
enough. But what if there's a better way, a proven
method, actually, maybe a bit counterintuitive
to make sure what you build actually, well, pays
the rent. Welcome to the deep dive. Yeah, today
we're digging into exactly that. How to build,
let's call it an AI powered money machine. Basically
using Google Ads the smart way. Right. We've
basically synthesized a really comprehensive
guide here, pulling from experts like Greg Eisenberg
and the paid ads wizard Cody Schneider. It's
packed with good stuff. Yeah. Seriously practical
advice. So our mission today really is to lay
out an actionable playbook. No fluff. We want
to show you how you can turn your AI apps or
really any digital product into a revenue stream
you can actually predict and scale. This isn't
about wishful thinking or just coding based on
a vibe. It's about real steps, real numbers,
building something that works financially. OK,
let's get into this core idea because it flips
things around. Most people building stuff. myself
included sometimes guilty yeah we do it backwards
we slave away often in secret perfecting the
product and then we try to figure out okay how
do we sell this thing and that's often where
it falls apart even if the product itself is
brilliant just leads to a lot of frustration
it really does so this cody schneider method
it turns that completely on its head it's simple
but wow effective first you have to validate
like really validate that people desperately
need what you're thinking of building the pain
point. Exactly. Second, figure out the sales
system. How are you actually going to reach those
people and sell it? Get that nailed down. Right.
And only then, once you have proven demand and
a sales plan, then you actually build the thing.
It's just core business sense, really. Have something
people want and know how to sell it repeatedly.
So what's the fundamental shift in this validate
first mindset? Boil down. Find the demand, map
out the selling process, then build. Simple as
that. Okay, here's a great way to think about
this. Imagine an ATM, like right in your house.
Okay. And every time you put a dollar in, it
spits $4 back out. Guaranteed. Ha! Yeah, what
would you do? You'd be stuffing every dollar
you could find into that thing. Right. As fast
as possible. Absolutely. Non -stop. And that's
the ideal for a well -tuned paid ad campaign.
It's a predictable, scalable machine. But here's
where lots of indie builders, maybe, get tripped
up. They focus only on the cheek. The cost to
acquire a customer. How much it costs to get
one person to sign up or buy. Right. And they
miss the bigger picture. LTV, customer lifetime
value. How much that customer is worth over time.
Cody Schneider's own numbers are a perfect example.
He might spend $80 to get a customer that's the
CKAC. And maybe that customer only pays $39 up
front. So on paper, that looks like a loss, right?
$80 out, $39 in. Yeah, you'd think, shut it down.
But his LTV, the total value from that customer
is $550. You're investing $80 to make $550 eventually.
It's a long -term profitable investment, not
an initial loss. So an initial financial loss
isn't always the full story here. No, not at
all. Long -term customer value truly defines
profitability. Okay, check this out. This stat
kind of blew my mind. Cody Schneider has apparently
paid his rent consistently for 10 years by targeting
keywords that get only about 100 searches a month.
Just 100. That really puts things in perspective,
doesn't it? Forget chasing millions of eyeballs.
Let's do the simple math. You target those 100
people searching for something super specific.
Your tool costs, say, $49 a month. That alone
could bring in almost $4 ,900 in monthly recurring
revenue, MRR. From just 100 searches. Yeah. And
often these are pretty simple tools. They solve
one niche problem really well. Minimal customer
service needed so profit margins can be insane,
like 95%. The lesson is clear. Stop dreaming
about building the next Facebook. The real money,
the sustainable money is often in building a
portfolio of these small focused tools. The riches
really are in the niches. What makes these smaller
niche markets so uniquely profitable then? Lower
competition, much higher margins, and super focused
demand. People know what they want. All right,
let's dive into the Google Ads specifics. Phase
one, the validation before building part. This
is all about making sure people actually want
what you're thinking of building before you write
a single line of code. Crucial first step. So
you use a tool like the keywords everywhere,
Chrome extension, find keywords related to your
idea with at least, say, 100 searches a month.
But then here's the key. Add Reddit. to your
search like youtube channel email extractor reddit
This digs up real conversations, people complaining,
asking for solutions. You're looking for that
raw, unfiltered demand, like someone literally
posting, request for sauce, I need a YouTube
email scraper. Right, and that finds the actual
pain. Then you move to phase two, setting up
your campaign with progressive optimization.
Think of it like you've got to walk before you
run. A huge mistake is jumping straight to optimizing
for payments. Google's algorithm, it needs data
to learn. You have to feed it step by step. Makes
sense. Start with a clicks campaign. Goal. Just
get data. Collect clicks. Once you have enough
clicks and maybe 30 to 50 actual signups, then
you switch the campaign goal to optimizing for
signups. Got it. Clicks first, then signups.
Exactly. And only after that has run for a bit
and gathered solid signup data do you finally
switch to optimizing for payments. trying to
go straight to payments. You're basically flying
blind. The algorithm has nothing to work with.
So why is this progressive optimization so critical
for Google's algorithm to learn effectively?
It provides the essential foundational data for
truly smart ad tuning. Needs that learning curve.
Okay, phase three. Keyword strategy. We're talking
phrase match. This seems key for targeting. Absolutely.
You want to use phrase match keywords in Google
ads. That means putting your keywords inside
quotation marks. Like YouTube email scraper in
quotes. Exactly. That hits the sweet spot. If
you use broad match, no quotes, you'll get tons
of irrelevant clicks wasting money. And exact
match. Well, it used to be super strict, but
now it's a bit looser. So phrase match is generally
the most efficient. Good tip. And here's a massive
pro tip. Message match. This is critical. The
keyword the user searches for. The ad they see.
And the main headline on your landing page. They
all need to use the exact same language. That
consistency is message match. It builds instant
trust and tells the user, yep, you're in the
right place. Huge for conversion rates. So once
you've got that message match dialed in. How
do you track if it's actually working? What's
the technical plumbing behind it all? The nervous
system, as the guide calls it. Right, phase four.
The nervous system, your technical setup, this
is the control center. Without it, yeah, you're
flying blind again. The key piece is Google Tag
Manager, GTM. Okay, GCM. Think of it like a container
on your website. It lets you add and manage all
those tracking codes, pixels, conversion tags,
without having to mess with your website's actual
code every time. Super handy. So it simplifies
things. Massively. You set up GTM, then you connect
it to Google Ads. you use gpm to tell google
ads when important things happen on your site
like a sign up or a purchase these are your custom
conversion events this connection gives you that
really granular data in google ads you can see
exactly which keywords drove that sign up and
how much that sign up cost you if you need help
setting it up honestly youtube is your best friend
tons of tutorials on connecting gtm and google
ads so how does that message match we talked
about directly impact whether someone clicks
buy or signs up consistency builds immediate
trust and validates relevance to their search,
reduces friction. Makes sense. All right, phase
five, the conversion machine. This is the landing
page itself. It's only job, turn visitors into
customers. One job and one job only, laser focus.
It's not a brochure site. It's a tool designed
purely for conversion. So what makes a landing
page actually convert well? There's a checklist
for a high converting page. First, absolutely
NO navigation bar. Kill the distractions. Get
rid of links to About Us or Blog. Keep them a
buck. Exactly. Second, high contrast. Simple
design. Clean, easy to read. Third, one clear
call to action. One button. Sign up. Get started.
Whatever it is. Just one. Don't give them analysis
paralysis. Precisely. Fourth, that keyword matched
headline we mentioned. Reassure them instantly.
Fifth, Mobile -first design. Most people will
see it on their phone, so it has to look perfect
there. Right. And a quick hack, you can actually
use an AI like Perplexity. Ask it something like,
generate a landing page structure for a YouTube
email scraper tool. It can give you a solid starting
point you can then build out with a note code
tool. Okay, that's useful. So if you had to pick
one thing, what's the single most crucial element
for a landing page's success? One clear action,
zero distractions. Keep their eye on the prize.
OK, let's switch gears a bit. We've covered Google
ads, which is about capturing people already
looking for something. Existing intent. Search
driven. Right. But now Facebook and Instagram
ads, that's different. It's more of a disruption
game, isn't it? You have to stop people scrolling
through their feed. Totally different mindset.
Google is pull, social is push. You're interrupting
their passive scrolling. So your ad has to grab
them. So how do you approach that strategically?
The core strategy is moving people from pain
to paradise. Your ad needs to hit on a real pain
point they have, something that makes them nod
and say, yes, that's me. Then. Paint a picture
of how much better things could be without that
pain that's the paradise. And finally, position
your product as the clear bridge to get them
there. Makes sense. Find the pain. Offer the
solution. And to find that authentic pain language,
again, use something like Perplexity to scan
Reddit. Look for how real people describe their
frustrations using their exact words in your
ad copy. That resonates way more than slick marketing
jargon. What's the main difference in the user's
mindset when seeing a Google ad versus a social
media ad? One is actively searching with intent.
The other is passively browsing and needs to
be interrupted. Okay, so for these interruption
ads on social, there's this AI avatar ad formula
mentioned. Sounds intriguing. Yeah, this is working
surprisingly well. The toolkit is pretty straightforward.
Hagen is great for creating the actual AI avatar
video. And 11 Labs for the voice generation.
Fun fact. The guide specifically mentions the
Natasha Valley girl voice on 11 Labs gets crazy
good results. Maybe it sounds more casual, less
like a corporate ad. Oh, interesting. So a casual
feel is key. Definitely. Think podcast clip style
or even just someone talking directly to the
camera, maybe sitting in their car. Keep it lo
-fi and relatable. And the script structure.
Follows a pattern. Hook them first. If you do
influencer marketing, listen up. Then hit the
pane. Trying to get creator emails is a nightmare,
right? Those recap ECHAs block everything. Then
introduce the solution, maybe subtly. My buddy,
who's kind of shady but smart with internet stuff,
showed me this tool. Okay. Then the benefit.
It scrapes YouTube channel emails easily, gets
past the recap ECHA, and the call to action.
Click the link below to check this out. Pro tip.
Don't actually name the app in the ad. Make them
click to find out what it is. Builds curiosity.
Creates intrigue. Exactly. And I got to admit,
I still wrestle with prompt drift myself when
we're finding these AI scripts to ensure they
hit just right. It's easy for the AI to misunderstand
the nuance. You know, you ask for a sauce ad
script and it gives you something that sounds
like it's selling timeshares. Yeah. It takes
iteration. That's a good, honest point. It's
not push button perfect. So the guide emphasizes
volume for social ads, like testing over 40 different
creatives a month. Oh, absolutely. Social media
ad success is a volume game. You need to test
constantly. The process is start with a base
ad idea. Use an AI like Claude to rewrite it
maybe 10, 20 different ways. Test those variations
with different AI avatars, different voices.
Find the two or three winners that really perform
and put your budget behind those. Wow. OK. That's
a lot of testing. It is. But there's a hack for
that, too. The Instagram trial reels hack. Upload
your ad video as a regular reel on an Instagram
business account. Instagram often shows reels
to non -followers organically. You can see how
it performs, get some initial engagement data
before spending money promoting it. Free testing,
basically. That's clever. So beyond the script,
how can these AI avatars genuinely connect with
people? Casual styles, relatable settings, and
specific voice choices really help create that
connection. Less polish, more personality. Okay,
let's tie this all together. The guide suggests
a three -month scaling roadmap. What does that
look like? Yeah, it provides a pretty clear path.
Month one is all about validation, pure data
gathering. Run those Google ads, clicks campaigns
we talked about, test at least 10 different phrase
match keywords, build three types, simple landing
pages, track everything, see what's getting relevant
traffic. Got it. Data first. Month two is the
conversion phase. Now you switch your Google
Ads campaigns to optimize for signups because
you have that initial click data. Set up your
full GTM conversion tracking. Start A -B testing
elements on your landing pages, headlines, buttons,
copy. And this is when you launch your first
Facebook AI avatar app. Okay, ramping up. Then
month three is the scale phase. You've got signup
conversion data now, so you switch Google Ads
optimization to payments. Pour budget into the
ads and keywords that are proven winners. And
start expanding, look for new. related keyword
groups to target. Grow the machine. And the economics
of this, this micro empire idea, the compound
effect. Right. Let's go back to that YouTube
email scraper example. 100 searches a month.
Maybe you convert 5%. That's five signups. Price
is 49 month. Even if 20 % churn each month, that
single simple tool targeting a tiny niche brings
in over $4 ,900 MRR. That's solid recurring revenue
from a small base. It really is. And then, whoa,
imagine you just replicate that. Build five simple
tools like that, each targeting a different micro
-niche. Suddenly, you're potentially looking
at $24 ,500 a month. That's almost $300 ,000
a year from these small, focused bets. It's kind
of staggering when you think about it that way.
It really is, and the toolkit to make this happen.
Pretty straightforward list. Keywords everywhere
for the search volume data. Hey, Jen, for the
avatars. 11 labs for the voices. Claude, or similar
AI for script writing help. A no -code landing
page builder. Perplexity for research. Google
Tag Manager is essential. Looker Studio or some
dashboard to see your data clearly. And maybe
CapCut or Descript for basic video editing. And
pitfalls. Common mistakes. Oh yeah, plenty of
ways to stumble. The biggest is the build -first,
market -later trap we started with. Also, the
organic -only delusion thinking you don't need
paid ads. Chasing huge, competitive, big keywords
instead of niches. And maybe the worst. It's
the set and forget fantasy, thinking you can
just launch ads and walk away. They need constant
monitoring and tweaking. If someone is just starting,
what's the single biggest mistake to avoid? Building
anything, anything at all, before you've proven
people actually want it and will pay for it.
Validate first, always. So wrapping this all
up, the big idea, the core insight here, it really
seems to be about a fundamental mindset shift.
It's about deliberately choosing validation before
building, understanding the power hidden in those
small overlooked niches, and then building these
data -driven ad systems methodically. Exactly.
It's moving away from just hoping for the best,
hoping something goes viral organically. It's
about putting proven, repeatable systems in place
to generate revenue you can actually count on.
It's a difference between, like the guide says,
vibe coding and revenue coding. Yeah, I like
that distinction. So the choice for you, the
listener, is pretty clear then, isn't it? Continue
maybe building cool things in isolation and hoping
they find an audience or adopt this kind of battle
tested strategy for building things that are
designed from day one to generate revenue. The
tools are out there. The roadmap we just discussed
is clear. The knowledge is available. Really,
the only question is, are you going to take these
steps deliberately and build your first $4 ,900
a month money machine? Well, thank you for joining
us on this deep dive. We hope this gives you
some really actionable ideas for building your
own AI powered or frankly, any predictable revenue
stream. Definitely explore these concepts further.
Out Utiero music.