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Amin
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Amin
@eCom_Amin
scaling dtc brands past 7 figures with my google ads ecosystem
scale past 7-figs with google: Katılım Kasım 2024
407 Takip Edilen9.4K Takipçiler
you can use clawdbot to scrape every single google ad in your niche and use that data to create better campaigns than everyone else
here's why this prints and why nobody's doing it
everyone knows about google ads transparency center where you can manually search competitors and see their ads
but that's slow asf, you're clicking through one advertiser at a time, manually screenshotting ads, trying to remember patterns
meanwhile you could automate the entire thing with clawdbot
here's how this actually works
clawdbot can systematically scrape the ads transparency center for every competitor in your niche
pull all their ad copy, headlines, descriptions, landing page URLs, how long they've been running each ad
then dump all of that into a spreadsheet with thousands of data points
now you have every google ad your competitors are running, organized by advertiser, date started, creative variations, everything
feed that data back into claude opus 4.6 and ask it to analyze patterns:
which headlines appear most frequently, which offers are being tested, which angles are getting the most variations, what price points are emphasized?
it'll tell you "32% of ads lead with free shipping" or "ads running 90+ days all use urgency in description line 2" or "successful advertisers in this niche focus on outcome not features"
that's intelligence you can't get manually
here's the difference between this and transparency center
transparency center: you manually check 10 competitors, look at maybe 50 ads total, guess at what's working
clawdbot approach: you scrape 100 competitors, analyze 2000+ ads, get actual data on what's proven not what you think works
then you use those insights to write ads that are scientifically better
you're not guessing "maybe this headline works" you're writing headlines based on proven patterns from thousands of competitor ads
the setup takes longer yeah, you need to configure clawdbot properly, set up the scraping parameters, build the data pipeline
but once it's running you have competitive intelligence that updates automatically, you can rescrape monthly and see what's new, what's being killed, what's scaling
most people won't do this because "it's too technical" or "manual research is fine"
meanwhile you're launching campaigns based on gut feeling while competitors who automated this are launching campaigns based on analysis of 2000 ads
and here's the part nobody talks about:
this works for any platform with an ads library
meta ads library, tiktok ads library, linkedin, pinterest, all scrapable with the same approach
you could have complete competitive intelligence across every platform updating automatically
but you're still manually screenshotting ads like it's 2019
- amin
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@romanxprofit seen this first hand, lowest paying client i ever had was the most draining by far lmao
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if you're already doing $20-100k/mo and you haven't launched a bizopp mentorship offer yet, you're leaving the most obvious money on the table in this entire space
here's the exact playbook:
step 1: define the ICP correctly
You want people who are already sold on your biz model, but are clearly the bottleneck. They’ve been spending months trying to figure out how to crack the code. You already did it, and people will PAY good money for your secret to whatever model you’re successfully running
step 2: price it to filter, not to convert
2k-5k minimum. the $97 course buyer is a nightmare. they refund, they complain, they don't implement, and they drag your energy. the 3k+ buyer is already qualifying themselves. price filters for quality and the math is better at lower volume with higher ticket.
step 3: build a VSL that hits the identity
goal is to speak to their feelings. the inconsistency. the fact that they know they're capable of way more but are spread too thin. then show them exactly what life looks like when that problem is solved.
step 4: stack a guarantee that removes all friction
scale them to a certain stage or [insert risk free guarantee]. when your model is rev-share and you only eat when they eat, this isn't even a risk - it's just honesty about how the structure works. but framing it as a guarantee does most of the objection handling before the sales call even happens.
step 5: structure the upsells from day one
the base offer gets them in. the upsells - more hands-on time, deeper implementation, longer partnership terms - are where LTV actually compounds. don't build this as a transactional product. build it as a relationship that deepens over time.
step 6: test cold traffic before you go all in
webinar funnel or VSL-to-call first. prove the messaging converts on strangers before you scale the ad spend. one winning creative and a dialed-in landing page tells you more about your offer than six months of organic posting.
the people printing off this model aren't doing anything complicated. they just packaged what they already know and put a real structure around it
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@info_qing built it wrong is the one that hurts, most people dont even think about that until its too late lmao
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Nobody claps for the lungs.
You do not wake up grateful that you breathed through the night. You do not thank your body for circulating oxygen while you slept. It just happens. Silently. Reliably.
Until it doesn't.
And when the lungs stop working, nothing else in the body functions. Not the brain. Not the heart. Not the legs. Everything that looked healthy on the surface becomes irrelevant.
That is operations in an agency. And most founders only discover this at the worst possible time.
I have walked into agencies doing serious revenue where the founder is working 80 hour weeks and cannot explain why. The ads are performing. Clients are paying. The offer is strong. But everything feels like it is one missed message away from collapsing.
The diagnosis is always the same.
The business has no lungs. It has a founder manually breathing for the entire operation.
Every piece of critical information lives in their head. Team members ask questions that should have documented answers. Clients get onboarded differently every single time. Reports go out when someone remembers. The founder cannot step away from delivery for a week without something catching fire.
That is not a growth problem. That is a breathing problem.
When I came into the agency I joined at 50k MRR this is exactly what I found. And the first thing I did, before touching a single automation or building a single workflow, was map every process until I could see precisely where the lungs had holes.
Then I fixed the highest-return leaks first.
Automated onboarding so clients stopped feeling abandoned after signing. Built a reporting trigger so invoices never landed without proof of work attached. Created a weekly at-risk review so the team was catching churn signals before they became decisions. Standardised the sales to delivery handover so expectations stopped breaking before the first campaign launched.
The founder stepped out of delivery completely within 60 days. Started focusing on acquisition full time.
Eight months later the agency hit 200k MRR.
The team did not get bigger. The offer did not change. The market did not shift.
The lungs just started working.
Here is what most agency founders misunderstand about operations. You do not add it when you scale. You add it so that scaling does not kill you.
If you wait until 200k to fix the operation, you will spend every day between 50k and 200k slowly suffocating.
Build the lungs first. Then grow.
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