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Jordan Platten · YouTube

I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)

How one agency owner built a fully automated outreach system that books 2-8 sales meetings per day across five channels with no human follow-up required.

Posted
3 months ago
Duration
Format
Tutorial
educational
Views
29.6K
1.1K likes
Big Idea

The argument in one line.

Automating cold outreach with AI is not about sending more emails but about stacking volume, personalization, multichannel reach, and instant response into a single system that runs without human inconsistency.

Who This Is For

Read if. Skip if.

READ IF YOU ARE…
  • You run a service business or agency and rely on cold outreach to fill your pipeline.
  • You have tried manual outreach consistently but find it falls apart when client work picks up.
  • You want to understand the actual infrastructure behind high-volume AI-powered prospecting.
  • You are comfortable using tools like Supabase or SmartLead, or are willing to hire someone to set them up.
  • You sell a high-ticket service where even 1-2 new clients per month justifies meaningful tooling investment.
SKIP IF…
  • You are looking for a quick outreach hack. This is a full system build requiring real setup time.
  • Your total addressable market is small enough that volume-based outreach would exhaust it in days.
  • You do not have proven case studies to feed the leverage library. The personalization engine needs them.
TL;DR

The full version, fast.

Most outreach fails because humans are inconsistent, not because the strategy is wrong. This system removes the human from the loop entirely. A 7-part machine scrapes and scores leads against an ICP, routes them through an enrichment waterfall that triples contactable leads versus a single provider, warms up a fleet of sending domains, writes hyper-personalized emails using a case-study leverage library matched by AI, distributes touchpoints across email, WhatsApp, voicemail, and physical mail based on lead score, and uses an AI agent to handle replies and book meetings in seconds. At scale the result is 880 leads per day, 3000 emails per day, and a projected monthly pipeline worth hundreds of thousands in lifetime value from a system costing roughly two thousand dollars per month to run.

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Chapters

Where the time goes.

00:00 – 02:18

01 · Hook and live demo

Opens with live backend: Supabase leads table, two Claude Code instances, SmartLead with 300 warmed email accounts. States the five-component architecture.

02:18 – 03:25

02 · Competition CTA

Instagram DM contest for the Notion doc; subscribe push.

03:25 – 08:51

03 · The Maths

TAM to enriched SAM formula for daily send volume. Full projections: 880 leads/day, 3000 emails/day, 2-8 meetings/day, 60-240 meetings/month.

08:51 – 12:22

04 · Building Your Hit List

6-step lead waterfall: define ICP, scrape companies, find decision makers, find verified emails via stacked providers, score 0-100, find mobile phones for top leads only.

12:22 – 15:10

05 · Infrastructure Equation

Formulas for calculating required email accounts and domains. SPF/DKIM/DMARC setup. 2-4 week warmup. Never use main domain.

15:10 – 19:15

06 · AI Copywriter

Three inputs: AIDA framework, leverage library with AI case-study matching, lead data. Quality gate before every send. Self-optimizing split tests every 2 weeks.

19:15 – 24:41

07 · Surround Sound and AI Appointment Setting

Three-tier lead scoring drives channel investment. AI reply agent handles objections in seconds. 90-day rotation cycle.

Atomic Insights

Lines worth screenshotting.

  • Your daily sending volume should be calculated from your enriched SAM divided by 90, never picked arbitrarily.
  • Stacking three enrichment providers instead of one can triple your contactable leads. 21k became 52k on the same raw list.
  • Lead scoring from 0-100 determines investment per lead: email for everyone, WhatsApp and voicemail for 50+, handwritten letter for 75+.
  • The quality gate before every send checks word count, spam triggers, and question count. Nothing goes out unchecked even at 3000 emails per day.
  • AI appointment setting beats a VA on speed to lead: seconds versus 8 hours, and a cold reply at 2am is still caught.
  • Being 20 times more likely to convert a lead if you respond within 10 minutes makes instant AI response the highest-leverage piece of the system.
  • The self-optimizing feedback loop rewrites losing copy and runs fresh split tests every two weeks without human input.
  • A 90-day rotation cycle means no lead is permanently dead. They reenter with fresh messaging and a new case study angle.
  • Mobile phone numbers cost 5 times more to source than emails. Score your leads and only buy mobiles for the top tier.
  • SPF, DKIM, and DMARC setup is more important than email copy. Perfect personalization still lands in spam without it.
  • Context is everything in AI email writing: a copywriting framework plus a matched case study plus scraped lead data produces emails that read as if written for one person.
  • Manual outreach maxes out at 30-50 leads per day per person. The same infrastructure handles 880 leads per day without excuses.
  • Never send cold outreach from your main business domain. One spam complaint can damage the email address your clients reply to.
  • The breakup email works consistently enough to include as the final follow-up in every sequence.
Takeaway

The seven components of a self-running outreach pipeline.

WHAT TO LEARN

Outreach fails consistently not because the strategy is wrong but because humans are inconsistent, and every component of this system is designed to remove that dependency.

01Hook and live demo
  • Opening with a live backend database and running code instances is a proof-first structure that bypasses the credibility gap most tutorials face in the first 60 seconds.
03The Maths
  • Size your daily sending volume by dividing your enriched addressable market by 90, not by picking an arbitrary number. The math tells you exactly how many domains and email accounts you need.
  • The gap between manual outreach at 30-50 leads per day per person and a system handling 880 leads per day is not a marginal improvement. It is a category change.
04Building Your Hit List
  • Stacking multiple enrichment providers in sequence rather than relying on one can triple the percentage of your scraped companies you can actually contact.
  • Lead scoring from 0 to 100 is what makes multichannel investment rational. Spending on voicemail drops and handwritten letters only for high-probability leads keeps the system economically sound.
  • Mobile phone numbers cost five times more to source than email addresses. Scoring first and buying phones only for top-tier leads is the only way to keep that cost defensible.
05Infrastructure Equation
  • Email infrastructure hygiene matters more than any element of copy. The best email still lands in spam without SPF, DKIM, and DMARC on every domain, and without two to four weeks of warmup before live sending.
06AI Copywriter
  • An AI copywriter needs three inputs to produce emails that read as human: a copywriting framework, a leverage library of case studies matched to each lead automatically, and scraped data on the lead itself.
  • Every email should pass an automated quality gate checking word count, spam triggers, and question count before it can send.
  • The self-optimizing feedback loop reviewing reply and booking rates every two weeks and generating new test variants automatically means the system improves without intervention.
07Surround Sound and AI Appointment Setting
  • Speed to lead is the highest-leverage moment in the reply flow. AI responding in seconds versus a VA responding in eight hours is the difference between a warm and a cold lead.
  • A 90-day rotation cycle with fresh messaging and a new case study means no lead is permanently dead. The system recycles and recontacts on its own schedule.
  • Stacking channels compounds response rate because each additional channel reaches people who ignore the previous one, and physical mail works precisely because digital outreach is cheap and ubiquitous.
Glossary

Terms worth knowing.

TAM
Total Addressable Market. Every company in your niche that could theoretically buy from you before any quality filtering.
SAM
Serviceable Addressable Market. The subset of your TAM that matches your ideal customer profile by industry, revenue level, employee count, and geography.
Enriched SAM
The portion of your SAM for which you have found verified decision-maker contact details, typically via stacked enrichment providers.
Enrichment waterfall
A sequential chain of data providers where each failed lookup from one provider gets retried by the next, increasing the total percentage of leads with verified contact information.
Lead scoring
A 0-100 composite score assigned to each lead based on indicators of fit and likely lifetime value, used to determine how much outreach investment each lead receives.
Leverage library
A curated bank of case studies, testimonials, and proof points that an AI system matches to individual leads based on their industry and profile, enabling hyper-relevant email personalization.
Surround sound
A multichannel outreach approach where the same lead is contacted across email, WhatsApp or SMS, voicemail drops, and physical mail in a sequence based on their lead score.
Speed to lead
The time elapsed between a prospect replying to outreach and receiving a response. Studies cited in the video find 20x higher conversion when responding within 10 minutes.
Email warming
The process of building a sending reputation for a new email account by simulating realistic email activity over 2-4 weeks before using it for cold outreach.
AIDA
A copywriting framework standing for Attention, Interest, Desire, Action. The structural sequence used to write each cold email in the system.
Resources

Things they pointed at.

01:00toolSupabase ↗
02:11toolSmartLead ↗
02:13toolClaude Code ↗
11:10toolClay.com ↗
09:48toolLead Magic
09:55toolHunter.io ↗
00:00toolAppointwise ↗
00:00productAffluent Academy ↗
Quotables

Lines you could clip.

06:56
“The more manual the outreach is, the more it depends on you actually having a good day.”
single punchy line, no setup needed, universal agency owner pain→ TikTok hook↗ Tweet quote
17:54
“The quality of what the AI writes comes down to what you feed it. If you give it nothing, you get generic drivel.”
quotable principle, tight, works without context→ IG reel cold open↗ Tweet quote
18:04
“The context is everything. The context is always everything with AI.”
repeated for emphasis, memorable, true for any AI workflow→ newsletter pull-quote↗ Tweet quote
22:01
“If we get a reply at 2AM, AI will respond in seconds. A VA will respond in eight hours, and by then, the lead is cold.”
concrete comparison, specific numbers, dramatic contrast→ TikTok hook↗ Tweet quote
06:54
“I suppose I just took the human out of it.”
understated punchline after building up the problem of human inconsistency→ IG reel cold open↗ Tweet quote
The Script

Word for word.

Read-along

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metaphoranalogystory
00:00I've built an AI outreach system that books between two and eight sales meetings every single day. There are no manually sending emails. There's no follow ups, and there are no replies to keep on top of.
00:11The system finds leads. It writes personalized emails, and it sends them across five different channels. When someone replies, it handles the conversation and books them straight into the calendar.
00:23Now the only thing my team does is turn up to the call. And in this video, I'm gonna break down the entire system. I'm gonna teach you how it works so you can build your own version of this as well.
00:33I've been in sales for over ten years. I've built my marketing agency, affluent.co, to 8 figures in revenue, and I've sent millions of cold emails and had hundreds of thousands of people watch videos like this on this channel where I've taught various different outreach systems. But in ten years of doing this, a system like this has never been possible until right now and I genuinely cannot wait to show you how it works.
00:55Right. Let's get straight into it. So this is Superbase.
01:00This is where we host all of the leads that we are reaching out to in this database. And so 52,000 leads that we have fully enriched here.
01:09All of their details and we even have leads scored each and every one of them. So we know the quality of every single lead based on a number of different, uh, different variables.
01:19We've got all of our campaigns on the left. We've our infrastructure as well. So this super base is a databasing tool where essentially storing the back end infrastructure.
01:27There are actually free tools that we use. Smart Lead is what we use to send out the emails. We have 300 warmed email accounts here.
01:35You see, we're probably going to blur a lot of information on screen because I don't want, yeah, I don't want all these emails and the leads and so on getting links. But you get the idea. 300 emails warmed up for this campaign, and this is the actual back end.
01:47This is the powerhouse of the system itself, and this is actually built on code using Versus code, which is what you're seeing right now. Here we've got two instances of Claude code. What was I working on here?
01:57On the left hand side, I lead scored a whole bunch of new leads on the system, and then on the right, importing a new case study where we took an age a business from 700 k to 4,000,000 in revenue because those case studies we actually use in our copywriting engine, I'm gonna come on to throughout this video. In fact, with that in mind, let's actually just get straight into, uh, actually how I have built this thing out, starting with the machine itself, the back end.
02:24So the architecture is there was actually five components of this. We first of all had lead scraping, so it's the act of finding and scraping information on leads and then scoring them.
02:34We didn't have the infrastructure, and so how many domains and so on that we actually need. We have the AI copywriter, which is matching case studies to copy and sending out those emails.
02:43And then we have surround sound, so actually sending emails, but also reaching out in a multitude of different ways. Like, we have voice mail drops. We're also sending WhatsApps and and and something else which you're absolutely gonna love.
02:53An AI appointment setting, so we are responding to every single lead that responds and booking them straight into the calendar. The whole thing is completely hands off, and that is the machine. Now I am gonna break down each individual component, but quickly before I do, I'm gonna run a competition on this video.
03:08I wanna know what the single biggest thing is that's holding you back in your business right now. Is it finding leads? Is it building systems like this?
03:15Is it staying consistent? Comment it below underneath this video. Follow me on Instagram at jordan platon, and DM me the keyword AI outreach, and I'll send you the complete Notion doc that I'm about to go through in this video, and then every one in 100 of you will also win a free coaching call with a senior member of my team.
03:31I'll announce the winners in the community post, so subscribe to check those out. Now the reason I built this for my own agency is very simple. Outreach is a grind.
03:41Okay? I think I just spat. Gross.
03:43You know Outreach is a grind. I know it's a grind definitely after all these years. You set these targets, maybe it's 10 calls a day, start off with 10 emails, 10 DMs, and you do it for a week, maybe two, and then a client project comes in, or you have had a bad day on the phones, and then the outreach stops.
03:59Three weeks later, you're wondering why your pipeline is dry. You've got no sales.
04:04And I've seen the same pattern across thousands of agency owners that I've worked with over the years. It is the same story every single time. And everyone knows the strategy now.
04:13Right? It's very simple. We find people who we need or who need what we have to sell.
04:17We send them a message, and then we follow-up. But actually doing that consistently every single day when you've got clients to manage and fires to put out, that's where things start to fall apart because humans are inconsistent.
04:30And the more manual the outreach is, the more it depends on you actually having a good day. And so I suppose I just took the human out of it. So let me run you through the maths.
04:41Once you see the numbers on the back end, the rest of this video is gonna make a lot more sense, you know, a lot more taste for it as well. So let's break it down, starting off with the sending volume. So we start off with our TAM, our total addressable market.
04:52This is every single company in our niche. What I'm gonna go through right now is how we determine how many Outreaches per day we're gonna send. Most people say, Jordan, how many should I send?
05:01Like, they just gotta pick a number. No. The number of outreaches we send on a daily basis is determined by the maths that we're gonna go through right now.
05:09So get your total addressable market, every single company in your niche. I don't care what you sell, you sell it to a specific kind of person. Write that down.
05:16Then we have our serviceable market, our SAM. These are the ones we actually want. This is the ICPD ideal customer profile, the ones that are qualified.
05:24We then have our enriched SAM. So out of all of those people in the SAM, how many people can we actually find verified decision maker emails for? And then what we do is we take that enriched SAM number, we divide it by three, which is three months, and that is our daily sending volume.
05:39Why three months? Well, we can rotate through every lead every three months because they forgot about us until we put them back in the system to squeeze a yes or a no out of them. Now what this translates into for my business specifically is 880 new leads per day entering this system, 3,000 personalized emails a day with roughly three, uh, follow ups, Between 0.21% meeting book rate on leads, that is the total amount of people that are booking meetings, sales meetings based on the total amount of leads, two to eight meetings per day, 60 to 240 meetings a month, but, of course, not everyone will show up.
06:14On cold outreach specifically, I benchmark at 60% show up rate. That's 36 to a 144 people showing up to a meeting. That's seven to 29 new clients signed every single month on a very, very conservative 20% close rate on attendance.
06:29We actually close 40% across the business by standard, but we also get a lot of inbound. Now for us, we have an average lifetime value on the smaller leads that we reach out to £60,000. Is That the total amount of money they spend with us over their lifetimes.
06:42That's 420 to £870,000 in lifetime value every single month from a fully automated system. That is fucking insane.
06:52Manual outreach used to be free to 30 to 50 new leads every single day. That's all one person could handle. We used to hire multiple people in order to do this.
07:00This system handles 880 leads a day, although, actually, the total amount of leads that you can reach out to is dictated by your total SAM. Okay?
07:07So you might have 3,000 leads a day that you can reach out to. Great. All you need to do is just increase the the back end infrastructure of which I'm gonna run you through in this video.
07:16And this outreach system is doing this every single day without excuses twenty four seven. Okay? And we don't have to have all these human errors and issues and so on, and we can ensure the absolute quality.
07:27What changes? Then what is the difference between a 0.2 and a 1% meeting book rate? Okay?
07:31Well, it's the quality of leads we put into the system, and so using a AI system, which I'm gonna teach you, we can ensure that only the highest quality leads come in, but it's also the quality of the outreach itself. It's hyper personalization. It's making sure that every single person feels that that this email, this outreach has only been sent to them.
07:49Now we weren't able to do this previously just by importing the company name and the first name and so on. We're able to write entirely personalized emails now, which means that we might even get better results than what I'm speculating here. I wanted to have conversion rates that are conservative as I went through this video.
08:05For most of you, half a percent meeting book rate is industry stat standard for industry average, I suppose, for cold email. If you get personalization right, if you match a relevant case study to every single lead, if you follow-up across different channels, those numbers go up significantly. But even at the most conservative end, this maths is ridiculous.
08:26And that's this is what really, I suppose, most people don't get right about outreach. The volume matters, obviously. That's what most people have.
08:32But volume combined with personalization and a multichannel approach, that is a completely different ballgame. And that's what will separate your Outreach from other hundreds of other generic cold emails sitting in your prospects inboxes.
08:46So let me show you how to actually build this machine. We'll start off with from the top. This is gonna be building your hit list and with a waterfall.
08:53Okay? And a waterfall is just a sequence that we follow through scraping leads until we go from our total list to a verified list, and we wanna ensure we have obviously the highest percentage of people that we actually have verified.
09:06So the waterfall goes as follows. Number one, we define our ICP. So what industry, what revenue level, how many employees, the geography, and tech signals.
09:14You will actually use a variety of different ones of these, uh, in order to build your initial list. You're gonna scrape the companies through database providers matching our criteria. There'll be various different database that'll be relevant for you based on your industry.
09:28ClaudeCode will be able to help you identify these. We're gonna then gonna find decision makers. It's gonna be the founder or CEO of your smaller agency, but if you're working with big companies like us and CMO, head of marketing broadly speaking.
09:39Then you're gonna find verified emails. So we start off with a primary provider, so wherever we scrape the rest of this information from, but then we wanna create multitude of fallbacks. Okay?
09:48So one that you could use would be Lead Magic, for example, and then you might use a a guessing logic with hunter.io. By guessing logic, mean, if you know the name is Jordan Platton, and it's Jordan it's at affluent.co is a domain, then you might be searching j.platon, jordan.platon, jplatton, and so on and so forth, and you run those through AI, which again we weren't able to do without AI.
10:12We're now able to run these sophisticated guessing logics to be able to pull many more emails out of the system. Then we score every single lead on a scale of zero to 100, and we store that in the database with the leads.
10:24That will change based on your criteria. For us, we know a certain level of products is gonna be a good indicator. We know what kind of ethics the brand has.
10:32We know what kind of industry they are in, a sub industry, what what personas they're hitting. These are all gonna be indicators for whether or not we're gonna be able to get them maximum return on investment, and therefore, they're gonna pay us the majority of money and have the highest lifetime value. And then finally, we find mobile phones only for the top leads for multichannel approach.
10:50Okay? And we we will run through that. Why do we do only for the top leads?
10:55Finding mobile phones is probably five times more expensive than finding email addresses, so we wanna be conservative. We don't just wanna waste our money on low quality leads when we are scraping those mobiles. Let me put some real numbers on this.
11:07I scraped about 76,000 companies that match my ICP. If I only used one enrichment provider, for example, my favorite is clay.com, I probably would have ended up with about 21,000 contactable leads.
11:18Maybe a little bit more on clay because it already has built in waterfalls, but now with AI, we can build completely custom waterfalls. And so in this instance, now if I just use one enrichment provider, I would have ended up with probably 21,000 contactable leads give or take based on just using one different software, which sounds alright, but there's still 55,000 leads just sitting there with no email address.
11:40And so what the waterfall does is it takes those failed leads and then runs them through different providers, and each provider has access to different data. Right? So one misses it and the next one catches it, and then by the end of it, we had 52,000 contactable leads like you saw on Superbase at the start.
11:57That is triple what a single service provider would have given me. And then the custom scoring pieces, it's massive.
12:04Not every lead is worth the same investment. Some leads just get an email. The best leads get email.
12:09They get WhatsApp. They get a voice mail, and we even do a handwritten letter on their desk. So scoring just means we don't waste money on shit leads.
12:17Right. Let's get into some of the back end, the infrastructure equation, the formulas first of all. So our daily sends is our enriched SAM divided by ninety days.
12:27We've already determined that. Now what do we need on the back end as far as email accounts are concerned? This has changed a lot over time, so make sure you follow this religiously.
12:36Email accounts, the total amount we need is our daily sends divided by 10. So we're sending 10 emails per email account. Then as far as domains, we're going to divide email accounts by 50 15.
12:48So we have 15 accounts per domain. Okay? And so that gives us the total amount of domains we actually need to buy, which in my instance was around 20 domains that I bought initially.
13:00You're then gonna warm up those those emails for two to four weeks before sending live. Two weeks is the minimum. Four weeks is is you don't really need much more than four weeks, but obviously the more the better.
13:12Warming up is just the process of a sending tool. Okay? So we have Smart Lead here, basically simulating a really good email helper.
13:20It'll be sending emails, it'll be responding to emails, and basically going back. Maybe I can click on one of these without kinda giving away the address. Yeah.
13:27You can see in the last seven days, we've we've sent 55 warm up emails there. This is how many received, and they said 00% saved from spam, so none ended up in the spam.
13:36100% of the warm up emails landing in inbox, so it's really healthy on that domain at the moment. And so we need to make sure that we do that. That is a there's yes.
13:43Out of the question skipping that step. So the rules, never send from your main business domain. If you're contacting, like, the email address that you contact clients on, never use that.
13:53You could really hurt it. Make sure you've got SPF, DKIM, and DMARC on every single domain.
13:58You can set this up very easily with Claude code now. Although, you could just pay someone on Fiverr to do it for you as well, which is what I do.
14:05Always have warmed up backup accounts ready to go. There can be issues where you get fall into spam. People will report you from time to time, and so have like 10% generally is the rule that I like to keep on the back end.
14:17Um, now no one wants to talk about this part because it's boring. Okay? People don't like it, but this matters more than everything else I've shown you so far.
14:26You can have the best results in the world, but if they are landing in spam, nobody is reading them. And spam filters have only gotten stricter over the past year. And it's not even hard to set this up.
14:36It's just tedious. It takes a bit of time. No one wants to sit there and do it, which is why I pay people on file to do it.
14:41But if it's not an option for you to pay someone right now, then you can just follow the instructions of everything I just went through. Although it's very cheap to get someone to do the infrastructure.
14:50And this system, for me, is probably costing $2,000 a month for the volume in which we're doing, which is outrageously cheap in comparison to the LTV. Of But, course, can be much cheaper than that in like the low hundreds depending on what kind of volume you are sending.
15:04So once you've got this infrastructure dialed in, you need something to actually set. Right?
15:10And this is where it's up to get interesting. This is the AI piece. So let's go into the AI copywriter.
15:17Now there are three inputs. The first input is our actual copywriting framework. There are a bunch of different frameworks that we teach.
15:23I've got other videos on this channel as well going through email copy. I'll put some links in the description. You can go ahead and watch them.
15:29Probably the most common is AIDA. And so what we do is we grab their attention first of all. We then generate their interest.
15:35We create desire to speak to us, and then we call to action. We give them the offer of that call so that they say yes to.
15:42And then what we do is we make sure we have a leverage library. This is key. And so a leverage library is the bank of case studies that we've got, the testimonials, the results, and proof points across the business.
15:53Maybe it's awards that we've generated. What we want to do is AI will match each lead to the most relevant one automatically. You saw at the start of this video, one of the case studies that I imported.
16:02We took a brand from 700 k to 4,000,000, and we're we're understanding what niche they're in, and so AI then understands when it because it leads scores and scrapes data on each lead, which case studies, which pieces of leverage to show in which email to the relevant lead. So the email feels hyper relevant to that individual.
16:20This will dramatically increase your response rate, your meeting book rate.
16:25Now the data that we will scrape in order to aid AI with this process will be the company. So maybe we've got the LinkedIn page, a bit of revenue level if we can, if there's any public information of their big businesses, the tech stack they're using on the back end, any recent activity on social media or in the news. And then this allows for depersonalization, not just hi, first name, I saw this company and thought of this.
16:45No. We're actually creating not just personalized first lines, but personalized emails following a specific framework. Now, you might be wondering, Jordan, why don't you just show me this email?
16:55Why haven't you shown me the exact waterfall? It should be pretty obvious. I'm sure you understand.
16:59If I publish the exact lead waterfall, the exact email that I'm writing for a real system, which is this, that is running right now, which our revenue is dependent on, then I would just simply be giving away all of my intellectual property and anybody that's got an agency that remotely competes with me will just copy everything that I have done word for word, and then it won't work anymore.
17:21What's the point in that? I don't wanna stop being able to provide amazing value to you guys and so I wanna teach you how you can do it yourself without you just copying and ripping all of my shit directly.
17:31I think that's fair enough guys.
17:34I'm saying that as if you're you're you're sat there thinking, why? Why won't you give me your email? Of course, you understand that.
17:39You're you're not a fool watching this, that's why you're watching this channel. The quality of what the AI writes comes down to what you feed it. If you give it nothing, you get generic drivel.
17:50If you give it the leads company data, a relevant case study from your leveraged lobby, and then proper copywriting framework to follow, you're gonna get something that genuinely reads like a human sat down and wrote it for one person. That's the difference. The context is everything.
18:07The context is always everything with AI, and then every email gets checked by an agent before it's allowed to send. Okay? So every single email gets automatically written, but it also then gets fact checked by an agent before it gets sent out.
18:19And so word counts, spam triggers, how many questions you're asking, and if it fails any of those checks, they get binned and the system writes a new one. So nothing goes out unchecked. But the bit I really love about this is the feedback loop.
18:34Most people think they can just blast a ton of emails and be done with it, but outreach is the same as ads. We've gotta be continually testing, and so every two weeks, the system itself looks at its own data. What is getting replies?
18:49What is getting ignored? What's actually booking meetings for the right prospects? And then off the back of that, it generates new variations and runs fresh split tests.
18:59So the winning copy replaces the losing copy automatically. So without me touching it, the emails are getting better and better with time. Alright.
19:07So up until now, we've only talked about email, but email is actually just one channel in this system. Let's jump on to surround sound.
19:15Go for the tiers. Now all tiers get a free email sequence. They get the initial cold open.
19:20They get a follow-up, which is just a bump, and then they get a breakup. So it's like, hey. Like, we I've I've been trying to reach you.
19:28I can't get ahold of you. Before I reach out to some of your competitors, I just wanna give you one last chance. It's a little hack there for you.
19:34That works really well. And we actually do like to do another little bump, so we test another bump here as well. So free follow ups is generally speaking what we will test depending on volume.
19:42It depends on how well the second and the third follow-up are actually performing. Uh, the the first and the second follow-up performing, we will add a third one in there. Uh, every leads get this regardless of the scores.
19:52It doesn't matter what the quality of the lead is. They would all get an email. The lead should only be quite high quality if they're on the the the lead list anyway, but some people do leak in.
20:00Then priority leads with a score above 50, okay, will get the full email sequence plus they get a WhatsApp or SMS depending on their region and they get a voicemail drop straight through to their inbox. These are the leads that mow are most likely to convert, and so they get more touch points, or they're more likely to convert because the best ones are actually the top leads.
20:20And so they get the voice mail, and they get a WhatsApp or an SMS depending where they're from. The top leads, 75% plus, get everything, plus they get a handwritten letter.
20:30And there are many different services that you can use online to do this. This is such a hack because physical mail in a digital world stands out considerably. In a world where it's easy to send emails, it's easy to send DMs, it's easy to to create ads and hide behind the computer, the stuff in the physical world is craved and it works incredibly well.
20:48And so the top leads are getting this. Of course, this is a more expensive thing to add into that waterfall. But when we do this, when we have a multichannel approach, we do this because most people only use email or DMs.
21:00They have this one channel that's competing with hundreds of other competing businesses. And so stacking channels compounds the response rate, and the lead score dictates the investment per lead.
21:11Alright. Last bit. What actually happens when somebody replies?
21:15Well, we use AI appointment setting. This is the reply flow. When someone is interested, an AI agent will send a booking link, but it'll also suggest some time to that individual based on the calendar integrated with our calendar, and it'll then book the meeting.
21:29That's pretty simple. But what about they say not now or not interested? The agent will objection handle that lead because it's got all of the context of our business, who we are, what we sell, who we serve, all of the micronuances, and will be persistent for as long as it needs to be responding to as many emails as it needs to in order to convert that not now, not interested lead into either a booked call or just removing them from the system temporarily, but it'll be far more persistent than a VA will at mass volume of emails.
21:57The reason why this works is because of speed to lead. Okay? If we get a reply at 2AM, AI will respond in seconds.
22:03A VA will respond in eight hours, and by then, the lead is cold. This is especially vital when it comes to email. In fact, 20 times more likely we are to convert a lead if we respond within ten minutes.
22:14But when we're sending 3,000 emails a day including follow ups, we're getting a shit ton of responses. And so it's very, very easy for VAs, even a multi team of VAs, to be very lazy with the way they objection handle and the way they respond when it comes to email.
22:29And so AI appointment setting with email, arguably more than anything else, probably the most effective place that you can use it because of the nature of how humans treat responses to email outreach. We've gotta get that speed to lead it, and we've gotta come in with max effort every single time. Now even if leads don't convert or they haven't engaged after the full sequence, we do have a ninety day call off period, so we put leads back into the sequence.
22:54Every ninety days, they forget about us, we but don't just throw them through the same sequence. They reenter with fresh messaging, a new angle, and a new case study.
23:03And so the AI will recognize, okay, this is the second or the third or the fourth cycle, and so now we're able to hit them from a different angle. And previously, we weren't able to do this, or it was too high effort in order to track this. It was it was it was just wasn't worth the time when we were building manually, but now with AI, it's much easier for us to bake in these edges when it comes to the strategy.
23:23So that's everything, I think. That is the full system from start to finish.
23:29And look, I know this is a lot in this video. There's a lot of moving pieces. I'm not gonna sit here and pretend that you can build all of this in a day.
23:38It took me a little while and took me a lot of thought and experience in the space, but the architecture that I've run you through is sound, and the principles work at any scale. Even if you're just starting off with a basic lead list, you haven't got many on there, you've got a couple of scraping tools, you've got a decent AI prompt, and a copywriting framework, then you are miles ahead of most people who are still doing this manually.
23:59And if you want help building stuff like this, then I'll put a link in the description to book a call with our team. I've been doing outreach for over ten years. I used to dream about the moment that I could automate the whole process properly, and now we're finally here.
24:15It's actually quite surreal really. What a time to be alive. Now remember, if you want access to the Notion doc from this video, then follow me on Instagram at Jordan Platton.
24:27DM me AI Outreach, and I'll send you this entire document. You can use it as context as when you're building this system as well. And then also go and check out the next video if you wanna continue learning.
24:38Subscribe for more and I'll see you soon. Cheers.
The Hook

The bait, then the rug-pull.

The claim lands before the intro music: 880 leads per day, 3000 personalized emails, no manual follow-up, no replies to manage. A live Supabase table of 52000 scored leads and two running Claude Code instances make the proof tangible inside the first 90 seconds.

Frameworks

Named ideas worth stealing.

04:47model

The Outreach Volume Formula

Enriched SAM divided by 90 days equals daily sending volume. Email accounts equal daily sends divided by 10. Domains equal email accounts divided by 15.

Steal forany cold outreach setup where you need to size your infrastructure before buying domains and email accounts
08:51model

The Lead Enrichment Waterfall

  1. Define ICP
  2. Scrape companies from database providers
  3. Find decision makers
  4. Find verified emails via stacked providers with fallbacks
  5. Score every lead 0-100
  6. Find mobile phones for top leads only

Sequential chain of enrichment providers that catches missed contacts at each step, tripling contactable leads vs a single-provider approach.

Steal forany lead gen workflow where you want to maximize the percentage of scraped companies you can actually contact
19:15model

The Surround Sound Tier System

  1. All leads: email sequence (cold open, follow-up, breakup)
  2. Score 50+: add WhatsApp/SMS and voicemail drop
  3. Score 75+: add handwritten letter

Lead score determines multichannel investment. Higher-probability leads get more touchpoints.

Steal forany outreach system where you want to avoid spending money on physical mail or SMS for low-quality leads
15:10model

AIDA Plus Leverage Library Plus Lead Data

  1. Copywriting framework: AIDA
  2. Leverage library: case studies auto-matched by AI to lead profile
  3. Lead data: company info, tech stack, social activity

Three-input AI copywriting engine that produces fully personalized emails rather than name-swap templates.

Steal forany AI email writing setup. The leverage library is the differentiator most people skip.
CTA Breakdown

How they asked for the click.

VERBAL ASK
23:59product
“If you want help building stuff like this, I will put a link in the description to book a call with our team.”

Soft verbal mention plus description link to Affluent Academy. Also Instagram DM CTA for free Notion doc placed mid-video at the 3-minute mark before the core content.

MENTIONED ON CAMERA
01:00toolSupabase ↗
02:11toolSmartLead ↗
02:13toolClaude Code ↗
11:10toolClay.com ↗
09:55toolHunter.io ↗
00:00toolAppointwise ↗
00:00productAffluent Academy ↗
FROM THE DESCRIPTION
PRIMARY CTAWhere the creator wants you to go next.
AFFILIATECommission earned if you click.
OTHER LINKSAlso linked in the description.
Storyboard

Visual structure at a glance.

open
hookopen00:00
Claude Code demo
proofClaude Code demo00:27
Supabase leads
proofSupabase leads01:00
The Machine slide
promiseThe Machine slide02:18
The Maths slide
valueThe Maths slide04:47
The Gap slide
valueThe Gap slide07:40
Hit List waterfall
valueHit List waterfall09:04
Infrastructure formulas
valueInfrastructure formulas12:22
AI Copywriter slide
valueAI Copywriter slide15:10
Three inputs detail
valueThree inputs detail16:30
Surround Sound tiers
valueSurround Sound tiers19:15
AI Appointment Setting
valueAI Appointment Setting21:21
Speed to Lead and Rotation
valueSpeed to Lead and Rotation22:59
close
ctaclose23:59
Frame Gallery

Visual moments.

open00:01Claude Code demo00:27Frame at 00:38 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)00:38Supabase leads00:55Frame at 01:28 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)01:28Frame at 01:41 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)01:41
open00:01Claude Code demo00:27Frame at 00:38 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)00:38Supabase leads00:55Frame at 01:28 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)01:28Frame at 01:41 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)01:41Frame at 01:56 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)01:56The Machine slide02:18Frame at 02:37 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)02:37Frame at 03:02 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)03:02Frame at 03:14 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)03:14Frame at 03:32 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)03:32Frame at 03:43 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)03:43Frame at 04:10 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)04:10Frame at 04:28 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)04:28Frame at 04:46 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)04:46Frame at 05:05 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)05:05Frame at 05:23 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)05:23Frame at 05:39 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)05:39The Maths slide06:00Frame at 06:19 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)06:19Frame at 06:46 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)06:46Frame at 06:52 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)06:52Frame at 07:15 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)07:15The Gap slide07:33Frame at 07:52 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)07:52Frame at 08:05 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)08:05Frame at 08:29 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)08:29Frame at 08:46 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)08:46Hit List waterfall09:06Frame at 09:24 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)09:24Frame at 09:45 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)09:45Frame at 10:01 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)10:01Frame at 10:18 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)10:18Frame at 10:38 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)10:38Frame at 10:57 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)10:57Frame at 11:15 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)11:15Frame at 11:26 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)11:26Frame at 12:00 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)12:00Frame at 12:11 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)12:11Frame at 12:29 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)12:29Frame at 12:48 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)12:48Frame at 13:15 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)13:15Frame at 13:25 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)13:25Infrastructure formulas13:39Frame at 14:02 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)14:02Frame at 14:20 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)14:20Frame at 14:41 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)14:41Frame at 15:04 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)15:04AI Copywriter slide15:16Frame at 15:34 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)15:34Frame at 15:53 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)15:53Frame at 16:11 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)16:11Frame at 16:30 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)16:30Three inputs detail16:48Frame at 17:07 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)17:07Frame at 17:22 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)17:22Frame at 17:44 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)17:44Frame at 18:02 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)18:02Frame at 18:21 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)18:21Frame at 18:40 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)18:40Frame at 19:07 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)19:07Frame at 19:17 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)19:17Frame at 19:35 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)19:35Surround Sound tiers19:54Frame at 20:12 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)20:12Frame at 20:31 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)20:31Frame at 20:49 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)20:49Frame at 21:11 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)21:11AI Appointment Setting21:26Frame at 21:45 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)21:45Frame at 22:07 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)22:07Frame at 22:23 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)22:23Frame at 22:42 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)22:42Speed to Lead and Rotation22:59Frame at 23:17 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)23:17Frame at 23:44 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)23:44Frame at 23:54 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)23:54close24:15Frame at 24:31 from I Let Claude AI Get Me Clients for 30 Days (240 Meetings Booked)24:31
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