Cold Email Engineer

I've built an automated end-to-end B2B lead gen system that sends 10k emails/month without my input. Here are the top 5 tools I used:

@mig4ng Even white hats still hack into systems, just legally

@coldemaileng Why is that?

Just had a call with João, Minho students always surprise me!

30 days of cold email truth on this account. Here's the 1-line summary: Build the system. Verify the list. Write for outcomes. Automate the follow-up. That's it. That's the whole game. If you want us to build this for your B2B company → DM me "SYSTEM" We'll talk.

Cold outreach has a reputation problem. Because most people do it badly: → Generic templates → Dirty lists → No follow-up system → Wrong ICP Done right, it's the highest ROI B2B channel that exists. $0 ad spend. Fully measurable. Completely scalable. The problem was never cold email. It was execution.

What 0.625% conversion rate actually means at scale: 2,000 cold contacts × 0.625% = 12.5 meetings Sounds low? We sent 8,000 emails total (sequences included). 50+ meetings. 2 months. 1 founder. Now imagine running this for your company. What would 50 meetings with qualified prospects do for your pipeline? DM me if you want to find out.

If your CRM still requires manual data entry in 2025, you have a process problem. Every "Interested" reply should auto-create a deal. Every meeting booked should auto-update the stage. Every no-show should auto-trigger a follow-up. We built this in n8n for a biotech client. The technology exists. The question is whether you implement it.

The thing no one tells you about running outreach automation: Deliverability breaks silently. You don't get a warning. You just stop getting replies. That's why we monitor: → Spam rate (Google Postmaster) → Bounce rate per campaign → Domain health weekly Automation without monitoring is a ticking clock.

LinkedIn outreach is not a cold email replacement. It's a different channel with different rules. Cold email: volume, automation, speed LinkedIn: trust, warmth, smaller scale The B2B companies winning right now run both. Not either/or. And.

Cold email copy framework that booked 50 meetings: Line 1: Credibility signal (who you are, fast) Line 2: Specific observation about them Line 3: Outcome you can deliver (concrete number) Line 4: 1 question CTA (never "let me know if interested") Total: <50 words. The shorter the email, the higher the reply rate. Founders don't have time to read. Respect that.

What I learned managing an intern on a live outreach campaign: → Document everything before delegating → The system has to work even when you're not watching → Validation testing isn't optional when production is live → Good documentation = faster onboarding than any meeting We shipped API integrations with 1 intern. Because the architecture was clean before he arrived.

Most agencies sell you leads. We sell you a system that generates leads. Difference: Leads = you pay forever, agency has all the leverage System = you own the process, we transfer the knowledge One makes you dependent. The other makes you dangerous.

How we use n8n to auto-classify cold email replies (saves 10h/week): Trigger: New reply webhook from Smartlead Classification logic (via AI node): → "Interested" → draft reply + flag for human approval → "Not now" → tag in CRM, schedule 90-day follow-up → "OOO" → pause sequence, resume after return date → "Referral" → extract name, create new lead record → "Hard no" → unsubscribe, log reason 1 workflow. Handles everything. Runs 24/7.

Side note: I’m currently obsessed with this Pistachio Passion Fruit cookie cake.

The "personalize every email manually" crowd will never scale. You can't send 2,000 emails/month manually and maintain quality. The answer isn't less volume. It's smarter automation with real personalization signals built in. AI + verified data + outcome-first copy = scalable AND personal. This isn't the future. We're doing it now.

50+ investor meetings, 2 months, 1 automated system. For context: → 8,000 emails sent → 0.625% cold → meeting conversion → ~6 meetings/week at peak → 80% less manual work for the client This is what we do at Sky High Lead Agency. If you're a B2B founder with a real offer and no outbound system → DM me.

The weirdest part of running a lead gen agency: Your best results come from clients who trust the process. Our 9-fig biotech startup client trusted us to: → Pick the messaging angles → Run the A/B tests → Make the automation decisions That trust let us move fast. Clients who micromanage every email get slower results. Always.

How to build your ICP list for cold email (without wasting $1k on bad data): 1. Define 3 firmographic filters: industry, size, geography 2. Add 1 trigger filter: recent funding, hiring surge, new product launch 3. Source from Apollo (free tier gets you far) 4. Export → verify with MillionVerifier 5. Only contact verified emails (removes ~30% of garbage) ICP quality > ICP quantity. Every time.

"We get all our clients through referrals." Cool. What happens when referrals dry up? Every B2B company needs at least one outbound system running. Not because referrals are bad. Because single-channel revenue is a risk, not a strategy.

Stop hiring SDRs before you have a system. An SDR without a proven playbook is just expensive trial and error. Build the system first: → Verified ICP → Tested messaging → Automated follow-up → Proven conversion rate Then hire to run the system. Not to figure it out. We built this for a biotech startup before they hired anyone.

How to write a cold email subject line that gets opened (B2B): Rules: → Under 6 words → No clickbait → Create curiosity or signal relevance → Never use their name in subject (looks automated) Examples that worked for us: "Quick question, {{Company}}" "Idea for your Q3 pipeline" "Saw your last raise" Test 2 variants. Let data pick the winner.