Jordan Automates
469 posts

Jordan Automates
@JordanAutomates
Building lead gen systems https://t.co/kTe04SBtHS
USA Beigetreten Temmuz 2012
155 Folgt616 Follower

@HVACSEO Handwritten was misleading on my part. I have a machine that writes with a specialty font that’s indistinguishable from handwriting for 98% of people. The real pen and paper are great. Right now having luck with financial advisors and realtors to warm back up cold prospects
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Clay’s new pricing is probably my fault. We were paying $314 a month, but using (based on their new model) $214,087.50 worth of Clay a WEEK. Here’s the story:
A year ago Clay's head of product hopped on a call with me.
I told him we were hitting their platform 17.3 million times per week.
Almost all custom events (i.e. HTTPs)
I remember his response being something close to "Holy shit, I think you are the largest user of Clay"
I said yeah that doesn't surprise me.
But then it also came up that we were only paying $3,769 a year.
We talked about HTTPs, custom integrations, how we were basically using Clay as a giant API orchestration layer.
I knew his wheels were turning.
If you saw my last post, you know we eventually replaced Clay entirely with a $200/mo Claude Code subscription. 272,000 leads per second vs Clay's 27 hours for the same volume.
But before we left, we were the perfect case study for why Clay's old pricing was broken.
$314/mo for 17.3 million weekly, for what they now call ‘actions’.
Run the math. We were paying $0.00001815 per action.
Clay announced their new pricing structure. They split everything into Data Credits and ‘Actions.’
Actions are HTTPs, custom integrations, API calls. The exact things we were doing 17.3 million times a week.
The new price per action credit works out to about 1.24 cents each. A 681% price increase for us
I know you might say, "But Clay is letting people stay on the old pricing if they want," and I hear you
but
I also don't know how it makes me feel that someone brand new would have to pay $856,350 per month to get the same advantages I had when I was starting out only 3 years ago.
I'm not saying that one call caused the entire restructuring.
But I am saying their head of product learned that day that someone was running 17 million HTTPs a week for the price of a nice dinner.
And now every HTTP costs 1.24 cents.
anyways
For the last year, we've been trying to figure out how to get off of our dependency on Clay.
That was until Cursor / Claude Code / Codex came out
My VP of Growth, @James, who doesnt know how to write a single line of code, touched Claude Code for the first time
And three weeks later he replaced Clay for us
We could process 272k rows per second now for the cost of a Claude Code sub
My last post was about that system
Then after that post, Clay announces new pricing that specifically monetizes the exact thing we were doing at a massive scale.
Coincidence? Maybe.
But
I may owe everyone using Clay an apology
If your Clay bill just went up, you can probably blame me for that one. Sorry!
I put together a system blueprint of what I did to replace Clay for myself -- every tool, the tech stack, a Clay vs custom comparison, and a 6-step playbook for building your own. Plus a video walkthrough where I show you the live system and how each tool actually works.
Reply CODE below and I'll DM it to you.
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@leoncastilloSM Really just shows you the mindset that is needed to operate at that level
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The true definition of an elite performer
meg@urfriendmeg
my mental health goal is whatever alysa liu has going on
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@tzhongg This is also known as synergy.
You can get more than twice as much done with two people. 1+1 = 3
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@eyad_khrais This is 3 Pro in thinking mode
yesterday
Answers that require understanding time are still absolutely terrible🤣

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@DeanFiacco What model do you mostly use? Or do you fine tune?
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We just quietly crossed a milestone: 10 billion tokens processed on OpenAI.
For context, that’s the data equivalent of reading War and Peace 20,000 times.
It’s a staggering number, and it wasn't spent just on experiments. Those tokens are the digital bedrock of our business, and they’ve taught us a critical distinction: the difference between "using AI" and building your business on AI.
Anyone can use AI to write an email. Building with it looks different. For us, it’s manifested in three distinct layers of our portfolio:
Systemizing a Service (Beanstalk Consulting): We run an outbound consultancy. Instead of just "personalizing emails," we used AI to build a scalable outreach system. Leveraging Clay, we end up with an engine that identifies prospect signals and crafts messaging with a level of relevance that’s impossible to achieve manually. It turned our service into a machine.
Building Internal Leverage (Our Ops): We’re not just using off-the-shelf tools. We're actively building our own. We use AI to rapidly prototype and deploy internal SaaS applications that support our operations, including our inbox-as-a-service platform, ScaledMail. This gives our team proprietary tools and gives us an unfair advantage in speed and efficiency.
Architecting a New Product (The Next Venture): The deepest application is in building from the ground up. I'm working on developing a new SaaS product that isn’t just using AI, but is AI at its core. It’s a research engine designed for complex financial modeling and economic analysis—tackling a class of problems that, until now, have been too data-intensive to solve without teams of researchers.
The OpenAI award was a nice nod, but the real prize is the internal capability we've built. We've become an organization where systems thinking is the default.
The lesson from these 10 billion tokens is clear: Long-term defensibility won't come from being a casual user of these tools, but from being a zealot.
The question is no longer if you'll use AI, but how deeply you'll integrate it into the very structure of your business.

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@lawrencekingyo It's easy to feel busy by watching content.
It's mental masturbation.
You need to take action and BREAK SHIT.
You will make mistakes, and that is learning.
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Gemini is crazy underrated and gets 10% of the clout ChatGpt does.
Claude just dropped skills, which is one of the best context management tools to exist.
ChatGpt having control of the the normie crowd doesn't mean they are superior.
vk@exit___f
ChatGPT is horrible Gemini and Claude mog it by 10,000x it’s not even close
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Jordan Automates retweetet

Scale Your Outbound and Compress Time.
You can turn a month of learning into a single week. You can compress an entire week's worth of insights into one day.
The version of you sending 12x more volume is receiving market feedback at 150x the velocity. Every mailbox you add to your infrastructure? You're literally purchasing time itself.
12K/day × 5 days = 60K/week
60K/week × 4 weeks = 240K/month
240K sends × 0.6% reply rate = 1,440 replies
1,440 replies × 22% positive rate = 317 positive responses
317 positive × 32% booking rate = 101 meetings booked
101 meetings × 82% show rate = 83 actual shows
83 shows × 68% qualified rate = 56 qualified opportunities
56 opportunities × 11% close rate = 6 new clients
The Bottom Line
6 clients × $48K average deal = $288K in revenue
75% margin with lean delivery = $216K profit
Every mailbox is a time machine. Every send is market research. Scale without fear.
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If you're in B2B Sales - pull up a chair and listen.
Yesterday one of our students jumped on a discovery call with a prospect for our Advisory offer.
Prospect on the other side (older woman) tried to play dumb right out of the gate:
“So what do you guys do… you just book meetings?”
Classic... but he didn’t flinch.
He’d devoured our DaDD™ document and went straight into due diligence mode. (Discovery as Due Diligence™)
No enthusiasm. No “we’re confident we can crush this.”
We don’t sell in discovery.
He flipped it immediately:
“Let me ask you a question…”
Then he dug into their middle and bottom of funnel.
"How many channels do you currently have generating qualified opportunties and demand?"
“How are you processing the interest that’s already coming in?”
Continue with a series of questions to dig vertically into their sales processes. He spent 10 minutes having her walk him through the entire MOF/BOF process until a conversion event occurs.
Once he was happy with the info, he then answered her question:
“Perfect. What we do is install a demand channel at the top of your funnel - and then pour that qualified interest into the exact process you already have converting at roughly X%.
In other words, the same end to end system you just walked me through is what we’re pouring interest into.
As long as that process exists and can handle qualified demand, there’s absolutely no reason you shouldn’t see the same outcomes you already benchmark internally.”
Prospects response?
“That makes complete sense.”
Call went smooth from there.
If discovery calls ever feel shaky or you get hit with “so what do you guys do?”...
Like + Comment "DISC"
I’ll send you our DaDD™ document that teaches you frameworks no one else teaches.
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@scaling_shields Important to remember that LLM's are mostly regurgitation of info based on SEO. Atleast right now, they can't do true critical thinking to make actual new thoughts or ideas. Still useful as hell, but you have to make decisions for yourself. I've made this mistake before.
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Jordan Automates retweetet

"Don't give this away on X" is what I was told...
39 Pages of Info + a Quick TAM Model will change your entire B2B scoping & sales process overnight if you sell outbound.
Follow Me + Like + RT & Comment "TAM"
I'll send you the most expensive Module in the Advisory Incubator™ - This will help you structure and close $25K-$75K deals.
We've sold dozens of engagements from this framework, now you can to.

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This A-Z cold email system cheatsheet covers everything you need to know to send 10,000+ cold emails/day with 98% deliverability in 2025.
It covers in-depth walkthroughs on everything from:
> AI prompts for deep market research, TAM mapping, and ICP validation
> Best-in-market cold email infrastructure and deliverability protocols
> 3-step account sourcing to contact enrichment list building process
> 3 useful data scraping & enrichment workflows to build out in Clay
> Top 46 GTM tools to leverage in your cold email technology stack
> 10 validated cold email script frameworks + 10 core messaging principles
> Campaign testing frameworks for hitting KPIs as efficiently as possible
> Optimal campaign metrics to monitor and how to action on each one
Want this A-Z cold email system cheatsheet for yourself?
👉 Like + Comment "Email" and I'll DM you the downloadable PDF.
[ Must be following to receive ]

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@svpino The volatility index shot up to 52 in April this year. It was the first major panic spike since covid.
The sp500 (VOO etf) dropped to $460. Had a long conversation with ChatGpt and put in tens of thousands of dollars. VOO is at $615 today :)
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You don’t need a studio, actors, or a motion team to make conversion-ready ads. You just need the right prompt format.
I built 5 Sora video templates tailored for ecommerce/SaaS ads that print money in 10s videos:
- UGC Try-On (fashion)
- Consumer products (gadgets)
- ASMR Macro (beauty)
- Room Glow-Up (home)
- Seasonal Sale Carousel
Hook in 2s, crisp beats, captions baked in, clean end-card with CTA. This is the new meta for pumping out quality ads that CONVERT.
Looks like a $5K shoot-without the shoot.
Like + RT + comment “SORA” and I’ll DM you my exact prompt templates + my plug-and-play workflows.
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