I Watched Two Cold Email Videos So You Don't Have To
I watch a lot of cold email content. Most of it is recycled advice from people who have never sent more than a few hundred emails. But this week, two videos stood out because they represent two sides of the same coin: one guy trying to brute-force 50,000 cold emails in a single week, and another guy explaining the system he wishes he had built before sending his first email.
Watch both for different reasons. Let me break down what they got right, where they went wrong, and what you should implement.
Video 1: 50,000 Cold Emails in One Week
This is the kind of video I respect even when I disagree with parts of it. Aaron walks through going from zero to 50,000 cold emails sent in a single week: infrastructure, list building, verification, personalization, and offer creation. He documents it live, which means you see the decisions and the mistakes instead of a polished recap.
The Infrastructure Numbers
He breaks the send volume down: 50,000 emails over five days is roughly 10,000 sends per day. At 500 sends per domain per day, that requires 20 domains. Each domain gets 100 sending accounts, giving him 2,000 total inboxes. He uses Inbox Kit at around $30 per tenant per month, plus roughly $10 per .com domain.
I agree with his insistence on .com domains. He says to spend the extra money on .com domains, and he is right. Deliverability drops when you try to save a few dollars with .xyz or .io domains on cold outreach. Google and Microsoft treat .com domains with more trust, and at this volume, every percentage point of inbox placement counts.
What I would add: the two-week warm-up period he mentions is critical, and people rush it every time. In my experience sending millions of cold emails, the warm-up phase is where campaigns either succeed or fail before you ever write a word of copy. If you want to go deeper on the full technical stack, I have a breakdown at my cold email tech stack guide.
List Building: Where He Separates Himself
This is the part of the video that impressed me most. He makes a point I agree with: the typical approach is to open Apollo and filter by job title and head count. But after sending millions of emails, I know that's not really how you get replies.
Correct. Filtering by title and company size is the bare minimum. The same filters show up in every campaign audit, which is exactly why reply rates stay terrible.
His approach uses a waterfall enrichment process across multiple data sources (Quick Enrich, AI Arc, Prospect.io) with a Supabase database acting as a reservoir. He runs leads through multiple providers, deduplicates, and then pushes everything through Million Verifier before adding personalization layers. The result: 19,600 verified leads across 12,392 companies, with a quality control gate that removed 300+ bad records.
I like that he ran an eight-dimension quality scorecard on every lead. Teams skip this. They verify the email address exists and call it done. But a valid email address attached to the wrong person is worse than no email at all, because it burns your domain reputation on someone who was never going to buy.
If you want to build lists like this without doing all the manual enrichment work, tools like ScraperCity's B2B database can shortcut the process significantly. And if you need to find and verify emails at scale, test the email finder and email validator.
The Free Trial Filter: A Smart Move
One detail you probably glossed over: he specifically filtered for SaaS companies that offer a free trial or free tier. His reasoning is that companies with free trials tend to convert better on outbound because the barrier to entry is already low in their business model. They understand the concept of letting people try before they buy.
Companies that already give away value for free are psychologically more receptive to offers that lead with value. This is about targeting, not copy, and it lifts reply rates more than any subject line trick.
The Offer Strategy
He makes a point I completely agree with: "If I just pitch my main service in the very first email, there is zero chance anyone will consider replying. When was the last time that you spent thousands of dollars because some stranger basically just asked you to over email?"
This is something I wrote about extensively in The Cold Email Manifesto. You need to give before you ask. The first email should offer something valuable up front, not pitch your core service. This is why I always recommend having a lead magnet or a free resource that demonstrates your expertise. If you want to see examples of how to structure these value-first emails, check out my top 5 cold email scripts.
What I Would Do Differently
My main critique is the volume itself. 50,000 emails in one week from a brand new setup is aggressive. Even with 2,000 warmed inboxes, that is a lot of sends from domains that only have two weeks of warm-up history. I would prefer to ramp more gradually: start at 5,000 per day in week one, scale to 8,000 in week two, and hit 10,000 only after seeing stable deliverability metrics.
Also, he mentions adding two layers of personalization: the prospect's ideal customer and the service they sell. These are good choices. But I would argue that if your targeting is sharp enough, you barely need personalization at all. The relevance of the offer does more heavy lifting than any personalized opening line.
Video 2: Building a Cold Email System From Scratch
This video takes the opposite approach. Instead of a volume challenge, Connor lays out the repeatable system he built to go from booking almost nothing to 3 to 5 meetings per week as a sales rep. The focus is entirely on process and framework rather than tools and infrastructure.
The Core Argument: System Over Copy
His central thesis is that salespeople treat cold email like a writing contest, and that is why they fail. He describes spending 20 to 30 minutes crafting what he thought was the perfect email, researching the prospect on LinkedIn, proofreading every detail, sending it, and then getting no reply 99% of the time.
This exact pattern destroys salespeople's motivation. They spend all their creative energy on one email, get silence in return, and conclude that cold email does not work. A system around the email was the missing piece.
He nails the diagnosis: reps over-index on the perfect clever opener, surface-level personalizations that feel fake, subject line hacks, and rewriting the template before every send. All of these are symptoms of not having a system. When you have a system, you do not need a clever opener because the relevance of your message does the work for you.
The 3W Framework: Who, Why, What
This is the framework he proposes for every cold email, and it is useful for anyone starting out:
- Who: One sentence. Your name, your company, your role. Frame it so it is relevant to them.
- Why: The most important paragraph. This is where you surface the priorities, use cases, and pain points that are specific to their segment.
- What: What you want them to do next. Usually a meeting. Be direct about it.
He gives an example for a revenue cycle platform targeting healthcare CROs: "We help teams identify missing documentation and eligibility issues before claims submission, reducing avoidable denials and rework." Then a clear ask for a 20-minute call.
This works. He cuts the storytelling and the company history dump. Just relevance and a clear next step. I would add one thing: social proof. Even a single line like "We do this for [type of company]" adds credibility without adding length. My killer cold email templates page has examples of how to weave proof into short emails.
Segment Before You Write
His advice on ICP segmentation is solid. He recommends building separate lists around your top five segments, grouped by industry, company profile, geography, and buying triggers. Then you write one targeted message per list rather than trying to write a unique email for every prospect.
This is exactly how I have always approached it. You build a list of 300 CROs at multi-location healthcare groups, all of them dealing with denials, missing documentation, and staff rework. So you write one email that speaks to those specific problems and send it to all 300. The repetition is by design. That is smart segmentation.
What you use in the "why" paragraph should be what these people talk about and care about, what comes up in their meetings and in their inbox every day. This is where cold email campaigns fall apart. They write about what they want to sell instead of what the prospect is already thinking about.
Follow-Up Is Where the Meetings Are
He drops a stat that matches my experience exactly: more than 80% of meetings booked via email come from follow-ups, not the initial send. This is why I always tell people to build a sequence of at least 4 to 6 touches. If you are sending one email and waiting for a response, you are leaving the vast majority of your meetings on the table.
He also recommends building a "reply bank" of saved responses to common objections, and it will save you hours every week. When you are sending at volume, you will see the same three or four objections over and over. Having pre-written responses ready means you can reply in minutes instead of agonizing over each one. If you want to see how I structure follow-up sequences, I have a full breakdown at my follow-up templates page.
What He Gets Wrong
His framework is built for individual SDRs doing manual outbound at maybe a few hundred emails per week. That is a completely valid use case, but he does not address the infrastructure side at all. No mention of domain setup, warm-up, deliverability monitoring, or send limits. If you try to apply his 3W framework at scale without proper infrastructure, your emails will never reach the inbox in the first place.
He also recommends tracking open rates as a key metric. I would push back on this. Open rate tracking requires pixel tracking, which can hurt deliverability. And with Apple Mail Privacy Protection inflating open rates across the board, the number is increasingly unreliable. Reply rate is the only metric that counts. If people are replying, your emails are landing and your message is working.
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Access Now →The Pattern Between These Two Videos
These two videos are two halves of the same system. The first video is all infrastructure and list quality with almost no discussion of messaging frameworks. The second video is all messaging and process with zero infrastructure guidance. Neither is complete on its own.
The reality of cold email that works at scale is that you need both. You need the infrastructure discipline of 20 properly warmed domains with verified leads and quality scoring. And you need the messaging discipline of segment-specific copy built on the prospect's priorities, not your product features.
Both creators also agree on something I have been saying since I wrote The Cold Email Manifesto: the email itself is not the most important variable. Aaron says list quality determines results. Connor says the system and ICP work you do before writing determines results. They are both right. The words in the email are less important than who you are sending to and whether your offer fits their current situation.
What to Do This Week
If you are running cold email right now or about to start, take one action from each video:
From Video 1: Add a quality control gate to your list building. Before you send a single email, score every lead on at least three dimensions: title relevance, company fit, and data completeness. Remove anything that does not pass. Aaron removed over 300 leads from a list of 20,000. That 1.5% might seem small, but those bad leads would have generated bounces and spam complaints that hurt deliverability for the other 98.5%.
From Video 2: Pick your single best-performing segment and rewrite your email using the 3W framework. One sentence on who you are, one paragraph on why they should care, and one clear ask for a meeting. Cut the company history, the feature lists, and vague CTAs like "would this be worth exploring?" Just relevance and a direct ask.
If you want to combine both approaches with the right tooling, use Instantly or Smartlead for your sending infrastructure, ScraperCity's email finder for lead sourcing, and keep your messaging tight with the 3W framework.
Cold email is an engineering problem. Build the system first. The words come last.
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