I monitor the cold email conversation constantly. Not because I enjoy LinkedIn drama, but because after sending millions of cold emails personally and helping over 14,000 entrepreneurs book 500,000+ sales meetings, I can tell within about three seconds whether someone knows what they're talking about.
This week the conversation was all over the place. Some genuinely useful stuff. Some dangerous nonsense dressed up as insight. And one recurring theme that kept showing up in post after post, whether people realized it or not.
Let me walk you through what stood out.
The Consensus Take (And Why It's Only Half Right)
Everything in this post is correct. The hiring signal example is exactly the kind of specificity that separates a 3% reply rate from a 15% reply rate. When I teach the PC formula - Pain, then Call to Action - the entire first line is about finding a specific, observable problem. "Noticed you're hiring 5 SDRs" is a perfect pain opener because it's verifiable and it implies consequences. They can't dispute it. They wrote the job listing themselves.
The soft CTA point is underrated. "Worth a quick chat?" outperforms "Can we schedule 30 minutes?" in almost every split test I've run. Lower friction equals higher conversion. This is not complicated, but most people still default to the calendar ask like they're owed the meeting.
Where I'd push back slightly: "under 100 words" is a guideline, not a law. The goal is zero wasted words. I've seen 150-word emails crush it because every single word earned its place. Josh Braun actually called this out this week, and I'll get to that.
The Infrastructure Problem Nobody Wants to Talk About
"Copy doesn't save a broken system." That single line is worth more than 90% of the copywriting advice flooding LinkedIn. I've reviewed hundreds of cold email campaigns where the copy was genuinely good and the results were garbage. Every single time, the problem was infrastructure: burned domains, no warmup, shared IP reputation, bounces stacking up. I had one client with a 76% open rate and a 25% positive reply rate once we fixed their infrastructure. Before the fix, they were hitting 9 replies from 1,400 sends. Same copy. Different domains. Completely different results.
The 95% inbox placement target she mentions is real. That is the baseline expectation now, not something to celebrate. If you're not consistently landing in the primary inbox, stop sending and fix the foundation first. Warm your domains for at least two weeks before sending a single real email. This is non-negotiable. I cover the full stack in my Cold Email Tech Stack guide if you want the exact setup.
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Access Now →The Word Count Debate Gets Settled
Josh is making a point that the cold email community constantly misses: the rule isn't "short equals good." The rule is "relevant equals good." Short is just the fastest path to relevant for most people because they can't help themselves from adding filler. If a longer email is tight and specific throughout, it will outperform a short email that says nothing. I've tested this. The correlation isn't word count to reply rate. It's relevance density to reply rate. Every sentence either adds tension or earns a reply. If it does neither, cut it. That's the actual principle.
The Email That's Going Viral for the Wrong Reasons
I'm going to give you both sides of this one honestly.
Yes, it got opened. Yes, it created a pause. And yes, attention is the first currency in cold email. I get it.
But here's what Yash is missing: the person who sent that email made the story about themselves. They pulled a shock tactic to say "look how creative I am," and then asked for a job. That's not marketing. That's a magic trick with no second act. Rose Maria George posted about a client who received a similar email this week and felt genuinely invaded. Her client had never posted about her personal life. She valued privacy. The email that referenced her family felt threatening, not creative.
There's a version of pattern-interrupting subject lines that works. I use them. But the bar is relevance-based disruption, not fear-based manipulation. "Your website speed is worse than 87.6% of competitors" is a pattern interrupt. "Your name is in the Epstein files" is just burning trust you haven't earned yet. One signals competence. The other signals desperation. Recruiters especially are not going to hire someone who thinks psychological manipulation is a flex. The close rate on that tactic is not what the engagement on that post suggests.
The BS Detector Goes Off
663 comments. People are hungry for shortcuts, and posts like this exploit that hunger hard.
Let me be direct: no GPT has been trained on 100 million cold emails in any meaningful way. GPT-4 and its successors have broad training data but they are not fine-tuned on your specific deliverability environment, your ICP, your offer, or the current state of your domain reputation. A custom GPT prompt can help you write faster. It cannot replace the judgment that comes from sending 200 emails a day, tracking every variable, and iterating over six to eight weeks of real campaign data.
Anirudh Gupta from Instantly actually called this category of post out this week too. He offered $1,000 to anyone who could verify a 72% open rate claim from a viral reel. He's right to be skeptical. iOS privacy changes have made open rate tracking unreliable at scale. Any post leading with open rate as the proof metric is working from broken data. Clicks and replies are your real numbers. If someone is selling you a system based on open rates, that's your first red flag.
The "comment for access" mechanic is a LinkedIn engagement hack, not a sign the content is valuable. The 663 comments are the product, not the GPT.
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Adam's post should be required reading before anyone signs a cold email retainer. The three questions he's asking - do you have PMF, do you have case studies, can you commit for three-plus months - are exactly the diagnostic I run before taking any client. I've turned away business because a founder had a strong offer but zero proof. Not because I couldn't write good emails. Because without social proof in the copy, you're asking a stranger to take a risk on something nobody has validated yet. That's a much harder sell than the agency fee makes it look.
The 60-90 day timeline is real. Cold email is not a faucet you turn on. It's a system you build, test, break, and rebuild. The campaigns I've seen generate serious pipeline all went through at least four to six weeks of message iteration before hitting their stride. Anyone promising results in two weeks either has a very unusual offer or is overpromising.
The one thing I'd add: even if you have PMF and case studies, do the first 200 sends yourself. You need to understand what objections come back, which subject lines get opens, and which CTAs convert. That knowledge makes you a much better client when you do hand it off.
The Two-Word Copywriting Trick Worth Stealing
This one deserves more engagement than it got. The "even if" formula directly addresses the thing that kills most cold email deals before they start: unspoken objections. Your prospect reads your pitch and thinks "yeah but my situation is different because..." and closes the email. If you've already named their objection and neutralized it, that exit is blocked.
The A/B testing application is smart too. Run the same email with three different "even if" endings and you'll learn more about what your ICP actually fears than any survey will tell you. The version that gets the most replies is pointing at the real friction. I'd combine this with the PEC formula I teach - Pain, Evidence, Call to Action - where the "even if" line becomes part of how you establish evidence that your solution works for their specific situation.
If you want templates that already have this baked in, check the Top 5 Cold Email Scripts.
The Woodpecker CEO Has the Simplest Quality Check
The read-aloud test is the most underused quality check in cold email. Most people write for a screen and forget that their brain reads differently than a stranger's brain reads. Read it out loud and you immediately hear where it drags, where it sounds robotic, and where the pitch feels like a brochure. If you stumble reading it yourself, your prospect will mentally stumble too and close the email.
The plain-text point is also backed by data. Tracking pixels and HTML formatting trigger spam filters and also signal "this is a mass email." The goal of cold email is to look like one human reached out to one other human. Plain text wins that perception game every time.
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Access Now →The $3M ARR Playbook Offer
Bill's story maps almost exactly to mine. No network, no warm intros, cold email as the primary growth engine. The "Why Me + Why Now" framing is solid - it forces you to answer two questions that most cold emails leave completely unanswered. Why should this specific person care about your specific message today? If you can't answer both in one sentence, the email isn't ready to send.
The 35% reply rate on a campaign is worth noting. That's not an open rate inflated by iOS tracking. That's actual replies. When you see numbers like that it usually means three things happened correctly: the list was tight, the timing was tied to a real trigger, and the ask was low-friction. I've seen similar numbers from campaigns we've built where the first line referenced a specific observable event - a new funding round, a job posting, a product launch. The specificity does the heavy lifting.
For anyone building infrastructure from scratch, tools like Instantly and Smartlead are where most serious operators are running their multi-domain setups right now. Get your domains warmed before touching a real list.
The Follow-Up Mistake That Denise Nailed in One Line
Best post of the week. Two sentences. Zero fluff. Completely correct.
The broken follow-up sequence is one of the most common and fixable problems I see. People build a five-email sequence and make each follow-up a weaker version of the first email. "Just bumping this up." "Circling back." "Wanted to make sure you saw this." None of those sentences add new information. None of them change the prospect's situation. They just add noise.
A good follow-up sequence introduces a new angle each time. New pain point. New proof. New consequence of not acting. The sequence isn't "did you see my email" repeated five times. It's five different reasons why this conversation is worth having. If you want the actual templates for that, the Cold Email Follow-Up Templates page has the frameworks I use.
The One Pattern Hiding in Every Post This Week
Read every post above again and count how many times someone mentions some version of the same thing: relevance, specificity, signal, timing, intent. The conversation has completely shifted away from volume tactics toward what I'd call earned attention. You don't blast a list and hope for a hit. You identify a specific trigger that makes your email relevant to that person right now, and then you craft the shortest possible message that connects that trigger to a specific outcome.
That is not a new idea. It's what good cold email has always been. But the bar for what counts as specific has gone up significantly. "I help companies like yours" is not specific. "Noticed you're hiring three account executives without a lead generation system in place" is specific. One of those gets deleted in under three seconds. The other creates a moment of recognition that might just get a reply.
The deliverability infrastructure problem is real and it's getting worse as volume increases across the industry. More domains are getting flagged. More inboxes are applying stricter filters. The operators who are winning right now are sending fewer emails to better lists with cleaner infrastructure and more relevant triggers. Not more emails with smarter subject lines.
Here's my actual takeaway from this week: before you touch your copy, answer this question - what happened recently in your prospect's world that makes them more likely to need what you sell right now? A job posting. A funding announcement. A new competitor entering their market. A leadership change. If you can point to a specific observable event and tie your first sentence to it, you've already done 80% of the work. The rest is just not screwing up the CTA.
If you want to build the list with those kinds of signals attached, our B2B email database at ScraperCity is built for exactly that kind of targeted list building - pulling verified contacts that match a tight ICP so your signals actually land on the right person.
Stop optimizing the sentence. Start optimizing the reason.
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