I spend a lot of time watching what people say about cold email online. Not because I'm bored, but because the gap between what gets shared and what actually works is enormous. And that gap is exactly where bad habits get built.
Here's what caught my eye this week. Some of it is genuinely good. Some of it is engagement bait dressed up as advice. I'll tell you which is which.
The Stuff That Actually Made Me Think
Let's start with the tweet that got the most genuine traction for the right reasons.
This is the most important cold email insight I've seen this week, and it didn't come from a big account. It came from someone who went and actually did the work.
The targeting insight here is everything. Lawn care. Commercial landlords. $15,000 to $80,000 annual contracts. No competition in the inbox. A 2.6% reply rate in a niche that nobody thought to email. That's not luck. That's proper segmentation.
I wrote about this principle in The Cold Email Manifesto and I'll keep saying it until everyone gets it: cold email doesn't care what industry you're in. It cares that you're the only one in your niche using it. I've seen this exact pattern work in pest control, pool cleaning, commercial printing, and a dozen other industries that tech bros dismiss as boring. Boring industries have empty inboxes. Empty inboxes mean replies.
The email they used was three sentences. No AI personalization. No 14-step sequence. Just a clear offer to someone who had never received one before. That's it. That's the whole system.
If you want targeting frameworks like this built out properly, our Enterprise Outreach System covers exactly how to identify these underserved pockets in any market.
The AI Hype vs. AI Reality Split
There were a few tweets this week about using AI for cold email that are worth separating out, because they're not all equal.
This is genuinely clever. LinkedIn engagement as a trigger signal is underused. If someone is commenting on a post about a problem your product solves, that's a warm signal, not a cold one. Targeting based on intent like this is exactly what separates effective modern outreach from the spray-and-pray crowd.
The stack he's describing, Apollo for contact data, Instantly for sending, validation before pushing, is solid. The personalization angle referencing the post the person engaged with is smart because it's actually relevant, not just a fake compliment opener.
Where people go wrong with setups like this is skipping the validation step and burning their domains. If you're running a system at this volume, you need clean data going in. Check out the ScraperCity email validator if you want to make sure you're not torching your sender reputation before you even start.
Agreed. The inbox monitoring piece is where most people drop the ball. They set up a campaign, replies come in at odd hours, and by the time a human follows up the lead has gone cold. An agent that monitors and responds in real time changes that math completely. I've been building in this direction with our own systems. The speed-to-response window on cold email is shorter than most people think.
Now contrast that with this one:
Obviously satire, and it's good satire. This is exactly the mindset a lot of beginners show up with. "I'll use AI to email everyone and money will appear." The joke lands because it's true. The lazy version of AI-assisted outreach is everywhere right now, and it converts about as well as the punchline suggests.
Here's what I actually use when building AI-assisted cold email systems:
The difference between a system that works and one that doesn't is the checks. Every AI output needs a filter layer. Is the offer specific? Is there a real case study? Does it actually sound like a human wrote it? Without those filters, you're just automating garbage at scale.
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Access Now →The Founder Revenue Channel Debate
Correct. This matches exactly what I did when I built my agency from zero. I sat down, sent 60 cold emails over three days, booked 18 meetings, and started closing. No SEO. No newsletter. No podcast. Just emails and sales calls.
The personal finance framing he uses is sharp. When you're early, 80% of your resources go toward survival, meaning immediate revenue. Long-term channels are investments. They pay off, but not when you need to eat next month.
Cold email is the closest thing to a revenue button that exists. Done right, two sales per hundred emails on a solid offer is achievable. If you're selling something worth real money, that math compounds fast. I did $600,000 in annual recurring revenue in 60 days with this exact approach. Not because I had a big team. Because I had a repeatable cold email system and I didn't stop.
The founders who ignore this and go straight to SEO are the same ones who post on Twitter six months later wondering why they have zero clients.
The "Cold Email Is Dead" Take Gets Its Weekly Airing
Every few months someone writes the cold email obituary. Every time, the people who actually use it keep booking meetings and closing deals.
On the leveredvlad take: the observation that AI competes out distribution channels is worth thinking about. But the conclusion is wrong. Cold email doesn't get competed out by AI. It gets upgraded by it. The senders who use AI to build better targeting, write sharper copy, and monitor replies faster will outperform the ones who don't. That's not death. That's evolution.
On pierreeliottlal's take: the list of what it takes to reach a prospect today is accurate. But he frames it as a burden. I frame it as a filter. Every requirement he lists is one more thing lazy senders won't bother doing, which means less competition for the senders who do it right. I'll take that trade every time.
The guy at @salesxsaas said it more simply and got it right:
No elaboration needed. Cold email gets to inboxes that phones and LinkedIn messages don't. Executive assistants screen calls. LinkedIn is noisy. A well-crafted email from a real domain hits the inbox directly. That's not changing.
Practical Advice Worth Saving
A few tactical posts this week that are genuinely useful.
Most of this list is solid. A few standouts worth emphasizing:
Number 7, no links in the body, is one most people ignore and then wonder why their deliverability tanks. Links trigger spam filters. If you need to share something, do it in the signature or offer to send it in a follow-up. That alone will improve your inbox placement.
Number 10 on relevant case studies is one I preach constantly. If you're targeting restaurants and your case study is a SaaS company, you've lost them. Match the proof to the prospect. Always.
Number 13, turning case studies into guarantees, is underrated. "We helped a client get 29% more conversions" becomes "We can get you up to 29% more conversions." That reframe costs nothing and changes the entire psychological weight of the claim.
The 50-word limit is real. If you can't make your point in 50 words, the email isn't ready to send yet. Shorter emails get read. Longer ones get archived.
This is correct. The unsubscribe link belongs in marketing emails, not cold outreach. Cold email should look like a one-to-one human email. The moment you add bulk email formatting, spam filters treat it like a bulk email. Simple language like "just let me know if this isn't a fit" handles the opt-out function without tanking your sender score.
Small change, measurable impact on deliverability.
The one-sentence cold email is real and it works. I've watched people build serious agencies with nothing but a single binary question sent to a tight list. The logic is simple: the easier you make it to say yes, the more people say yes. If your email requires someone to think about what you want, they'll close it and move on. One sentence. One yes or no question. Done. See our Top 5 Cold Email Scripts for examples of how this looks in practice across different industries.
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Two posts this week showed cold email working in contexts most people wouldn't think to try.
4,000 likes because this is relatable and it's clean. The structure is exactly right: he identified what the other party wanted (exposure, content, new audience), he had proof (analytics and demographics), and he made a specific ask. That's the full cold email framework compressed into two sentences.
Most people overcomplicate this. Cold email isn't just for B2B software sales. It's for anything where you need someone to say yes to something.
Sony Santa Monica crediting a cold email for a major game development partnership. A single email started that collaboration. I've said this in coaching sessions with thousands of founders: the biggest deals you'll ever close often started with the simplest email. People assume enterprise deals need warm intros and referrals and dinners. Sometimes they just need someone brave enough to send the email.
The Engagement Bait Section (Because It Needs to Be Said)
I'm going to group a few of these together because they follow the same pattern.
Same account also posted "$1.3M in 60 days" and "37 meetings in 15 days" this week. I'm not saying the results are fake. I'm saying three separate massive result claims in one week with the same comment-to-unlock mechanic is a pattern worth noticing.
The actual principles buried in these posts are fine. Clean data, short emails, relevance over fake personalization. Those are real. But when every tweet is a new record-breaking result that you have to comment and repost to access, you should apply some skepticism before you restructure your whole outbound strategy around someone else's unverified claims.
Compare that to @NickAbraham12's response when asked why he doesn't sell a cold email course:
Respect. That's the right answer. The best operators keep their edge. They don't broadcast their exact system to their competition. When someone is giving everything away for free with a repost mechanic, ask yourself what they're actually optimizing for.
The Irentdumpsters Observation That Most People Scroll Past
This pairs perfectly with the landscaping case study from @scaling_shields. Both are making the same point from different angles. The opportunity in cold email isn't in figuring out how to out-email other cold emailers in oversaturated markets. It's in finding the markets where nobody is emailing at all.
Diesel delivery. Landscaping. Pest control. Pool service. Commercial cleaning. Every one of these is a category where a single competent cold email sender can own the channel entirely because the incumbents haven't figured out that the channel exists.
If you're struggling with results in a competitive niche, this is the question to ask: what would it look like to target someone who has literally never received a cold email? That's where the 2.6% reply rates live. That's where the 23-calls-from-12,000-emails numbers come from.
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The 58% stat is the headline here. More than half your replies come from email one. This means your follow-up sequence exists to catch the people who missed it, not to convince people who already said no. Most people build their sequences backwards, treating the first email like a warmup. It's not. It's the main event.
The Wednesday data point matches what I've seen too, though it varies by industry. The more important variable is timing relative to time zones. If you're emailing US executives from a different country and sending at your local 9am, you're hitting their inbox at 2am. That was @iksly2's point this week and it's worth repeating. Check where your prospects are before you schedule your sends. Tools like Instantly and Smartlead both let you set timezone-aware sending windows. Use that feature.
For the follow-up side of your sequence, we have templates at Cold Email Follow-Up Templates that are built around the 4-7 touchpoint range with actual copy you can use.
The Real Takeaway From This Week
If I had to compress everything worth taking from this week's conversation into one idea, it's this: the channel is fine. The targeting is the problem.
Every tweet that showed real results, the lawn care case, the golf course content deal, the God of War partnership, the diesel delivery client winning market share, they all had one thing in common. The sender found a person or a market where the email was either unexpected, uniquely relevant, or both.
Nobody closed $128,000 in pipeline by sending a generic template to a massive list. They did it by sending the right message to the right person who had never received that message before.
That's not a new insight. But it's apparently one that needs repeating every single week until people stop chasing volume and start chasing precision.
Clean data in. Specific targets. Short email. Binary ask. Follow up. That's the whole system. It worked when I was closing $600,000 in ARR in 60 days, and it's working right now for people selling lawn care contracts in Tampa.
If you want to see how to build this targeting layer from scratch, the Killer Cold Email Templates resource walks through the targeting and copy together so you can see how they connect.
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