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Cold Email Deliverability Is Killing Your Reply Rates

Here's what caught my eye in the cold email conversation this week - the good takes, the bad math, and the one creative approach worth stealing.

The conversation shifted this week

Most weeks on Twitter, cold email talk splits into two camps: people sharing wins and people sharing templates. This week felt different. There was genuine debate about whether cold email as a channel is deteriorating, a few really creative outreach approaches worth studying, and the usual mix of generic advice dressed up as insight.

I went through everything and picked out what's actually worth your time. Let's get into it.

The deliverability warning people are sleeping on

@itsalexvaccaView on X
Cold emails needed for one positive reply: One recent year: ~120 Following year: ~200 Most recent: ~430 Google and Microsoft are the AI gatekeepers of every B2B inbox now. Spam threshold sits at 0.1%, meaning 1-2 complaints per 1,000 sends and your domain is cooked. Cold email in a silo is over.
456 likes · 18 replies · 1066 saves

The numbers on emails-to-reply are directionally real. I've seen it in campaigns across dozens of industries. The 0.1% spam threshold stat is also accurate and it's the one most people aren't paying attention to. Two complaints per thousand sends and Google starts throttling you. That's nothing. One angry person having a bad day can quietly destroy a domain you've been warming for months.

Where I'd push back: "cold email in a silo is over" is both true and misleading at the same time. It's not that cold email stopped working. It's that the floor got raised. The people who get away with worse practices got filtered out, which means the people doing it right are seeing less inbox competition. The answer isn't to abandon the channel. It's to get the infrastructure right first.

If you haven't watched this yet, the warm-up piece is non-negotiable:

A new domain that you start sending from on day one is almost certain to land in spam or promotions. Tools like Instantly and Smartlead both have warm-up built in. Use them. This is not optional in the current environment.

And if your tech stack needs an audit, start here: /coldemailtechstack2025.

The most creative outreach approach I saw all week

@VadimStrizheusView on X
a guy scraped 5,000 Shopify stores. got the CMO contacts on Apollo. then did something nobody expected. didn't cold-email them a pitch deck. pasted their product links into Marketing Studio on Higgsfield. generated video ads for their own products. UGC, unboxing, product review, TV spot - their products, not his. then sent it to them. "hey - I made these for your product. no charge. if you want more, let's talk." response rate on a normal cold email: 1-3%. response rate when you send someone a free video ad of THEIR product: you can guess. Marketing Studio on Higgsfield, powered by Seedance 2.0. 9 formats per product link. you can upload a custom face and lock it across every video so the ads look like they came from a real brand ambassador. $0.347 per generation. the whole pitch costs less than a coffee. the math at scale: 5,000 stores. even at 5% conversion to a $200/month retainer. that's 250 clients x $200 = $50,000/month. fulfillment cost is a Marketing Studio subscription. the pitch is the videos already made for them.
1228 likes · 41 replies · 2779 saves

The underlying principle here is what I call "do the work first." You remove all the friction from the prospect's imagination. Instead of asking them to picture what you could do for them, you show them. You've already done it. The deliverable exists. That shift changes everything about the dynamic.

I've coached people into this approach with audits, competitive analyses, and spec creative. One client I worked with was a video production company in New York. Instead of pitching with a deck, we had them build a short concept treatment tailored to each prospect's existing content before sending the first email. Open rates stayed consistent. Reply rates went up noticeably because the email had something real attached to it.

The math in this tweet is also worth examining. 5% conversion to a $200/month retainer is actually conservative if the product-fit is real. The tool cost is marginal. The issue is fulfillment quality at scale, which isn't addressed here. But the outreach strategy itself is sound. Do the work first, give it away, then ask for the relationship. That's a principle that ages well regardless of what tool generates the asset.

For list building at that scale, ScraperCity's Apollo scraper is worth looking at for pulling CMO contacts efficiently.

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The numbers on job-seeker cold emails are rough

@LukeberryPiView on X
--COLD EMAIL EN-UK 🇬🇧 Dear COMPANY NAME Hiring Team, I hope this email finds you well. I'm writing about an opening for a Fullstack Developer role at your company. With experience in the technologies used at {COMPANY NAME}, I really think I could contribute to your team's success. Below are some highlights of my qualifications: - 2 years of experience as a Frontend Developer - Proficiency in Next.js, React and Typescript - Passion about delivering high quality UX - Vast experience in team collaboration (including Open Source projects I managed myself) Please find my attached resume for your reference... Best, Luke
620 likes · 4 replies · 977 saves

Over 900 saves on this, which tells me a lot of people are job hunting right now and grabbing anything that looks like a template. I get it. But this email has a core problem that templates can't fix: it's entirely about the sender.

Every line is "I have," "I am," "I can." There's nothing in there that shows any understanding of what the company actually needs right now. "I really think I could contribute to your team's success" is the softest possible way to say nothing.

The fix is simple. Do fifteen minutes of research. Find one specific thing the company is working on, hiring for, or struggling with publicly. Open with that. Then connect your skills to that specific thing. Five sentences total. That's it.

The LinkedIn message at the end is actually the strongest piece in the whole thread, only because it's short. Short wins in hiring outreach the same way it wins in sales outreach. If you want templates that work across job-seeking and B2B contexts, /top5scripts has frameworks that apply to both.

The "AI bots selling to AI bots" observation

@zuess05View on X
Everybody is obsessed with deploying "AI Agents" to automate their workflows. Your sales agent sends a cold email. The prospect's inbox agent reads it, summarizes it, and auto-deletes it. Your agent logs the interaction and sends a follow-up. We are literally just paying to watch our bots pretend to do business with each other.
92 likes · 28 replies · 12 saves

Funny because it's close to true. The irony is real. But the conclusion people draw from this is wrong.

The answer isn't to stop using automation. The answer is to make your email something an AI would flag as worth surfacing to a human. That means a subject line that looks like it came from a real person, a first line that references something specific and recent, and a message short enough that a summary doesn't make it shorter. If your email reads like a bot wrote it, an AI filter will catch it. If it reads like a real person with a specific point, it gets through.

The channel isn't broken. The content running through it is. As one person in the replies this week put it more directly:

@cbwritescopyView on X
A million AI outreach agents and not a single one of them can write a good cold email Very interesting
85 likes · 23 replies · 6 saves

Accurate. AI can do a lot in outreach, but the prompting required to get genuinely good cold email copy is still more work than most people want to do. If you're using AI to generate emails and you're not happy with the output, the problem is almost always the prompt, not the model. Check out /coldemailgpt for prompts that actually produce usable emails.

The person who nailed the mindset in one tweet

@bankof_amERICAView on X
When I was in school, I got an assignment to interview a person with our dream job 99% of the class interviewed a retail store manager I cold emailed the CMO of Versace and got him on the phone and he invited me to meet Donatella Versace Send the cold email. Send the cold DM🫡
3940 likes · 24 replies · 196 saves

This is the one. Nearly 4,000 likes and it deserves every one of them. The whole point of cold email isn't the technique. It's the decision to reach up instead of reaching sideways.

The 99% of the class who interviewed the retail manager didn't fail because they were bad at outreach. They failed before they sent a single message because they pre-rejected themselves. They decided what was realistic before they even tried. That decision - made silently, before any action - costs more than any bad subject line ever will.

I've sent millions of cold emails. The ones that opened the most doors weren't always the most polished. They were the ones I actually sent to the right person instead of the safe person.

@rayansadriView on X
I just feel cold emailing has changed my life. Professor at McGill? Cold emailed. Got into the lab. Accelerator? Cold applied. Got in. Founders at my next job? Cold emailed. Got hired. A shocking amount of my life came from sending the email. Don't self-reject. like ever lol.
996 likes · 16 replies · 362 saves

"Don't self-reject" is the most useful phrase in this whole week's conversation. Almost everyone who tells me cold email doesn't work for them self-rejected before they ever built a real list, tested a real subject line, or sent enough volume to know anything. Send the email. The worst that happens is silence, and silence is free.

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The "emails-to-reply" stat deserves more scrutiny

@itsalexvaccaView on X
Cold emails needed for one positive reply: ~120 → ~200 → ~430 Google and Microsoft are the AI gatekeepers of every B2B inbox now. Spam threshold sits at 0.1%, meaning 1-2 complaints per 1,000 sends and your domain is cooked. Cold email in a silo is over.
456 likes · 18 replies · 1066 saves

Already covered this above, but I want to add one more thing here because the comment section on this tweet had a lot of people using it as permission to give up.

The benchmark I use is different. In The Cold Email Manifesto, I lay out what a working system should produce: 200 leads generated per day, 200 emails sent per day, and a meeting book rate that keeps your calendar full. That system still works. What changed is the cost of getting there if your infrastructure is sloppy.

The people seeing 430 emails per reply are probably dealing with one or more of these: bad domain reputation, no warm-up, no email validation, sending to a cold list with no segmentation, or copy that triggers spam filters. Fix any one of those and the number drops. Fix all of them and you're back to something respectable.

Use an email validator before every send. If you're sending to bounced addresses, every bounce hurts your sender reputation and inflates your emails-per-reply number in the worst possible way.

The "be human" take that aged well

@__paleologoView on X
One recurring question is "how do I write a good cold email that grabs the attention of the receiver?" Good question. There is no canned answer, because some creativity, or maybe humor, are required. For me these two stand out. The first one, I just got this morning. It asks for nothing but it's just funny. The second one was written earnestly three years ago. The guy wanted real gardening advice. He was a very nice senior at Stanford. We chatted, I wish him well. OK, the answer is, I guess, this: in the age of AI, dare to be human.
137 likes · 5 replies · 101 saves

"In the age of AI, dare to be human" is a genuinely good line and it's correct. But I'd add precision to it: being human doesn't mean being casual or funny for its own sake. It means demonstrating awareness of the specific person you're emailing. It means the email could only have been written to them, not to a segment.

The Stanford gardening email this person mentions worked because it was absurdly specific and genuine. That's harder to fake than humor. If you're going to lean into the "be human" angle, ask yourself before you send: could this exact email have gone to 500 other people with just a name swap? If yes, it's not human. It's personalized automation wearing a human costume.

The "like and comment for the playbook" game

@jn_jackkView on X
I cracked how to sell AI outreach agents to financial services companies (investment banks, m&a, etc.) Built a playbook on my strategy, and actual cold emails and scripts that closed >$4M for a client of mine in 60 days. Like + comment and I will send the link to you.
364 likes · 244 replies · 185 saves

244 comments, 364 likes. The engagement bait works, which is why people keep doing it. I'm not going to pretend I haven't seen this format generate real reach.

But what's worth noting: the actual substance claim here is big. $4M in 60 days from cold email into investment banks. That's possible. Enterprise financial services is one of the harder verticals to crack because compliance teams are aggressive about filtering, and decision makers at that level get a lot of outreach. If the playbook is real, the interesting part isn't the number. It's the sequence structure and the offer framing that allowed it to work in a compliance-sensitive environment.

If you want scripts that have actually closed deals at that level without the engagement-bait mechanism, the /enterprise-outreach system is the place to start.

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College students are asking the wrong questions in cold emails

@BoringBiz_View on X
Lately have been really disappointed with the quality of college students who reach out via cold email to network Almost always the same exact questions > "How do you think AI is going to impact finance" > "Any advice for students graduating into AI?" > "What AI tools should I be learning for finance?" The real answer is that I have no clue. Nobody knows. We can all play a guessing game around the table of what the future might look like, but not a single one of us actually knows the answer. Even Sam Altman or Dario dont know what the world might look like in 5 years. They can probably guess better than the average person, but that is about it. The solution is to just tune out the doomerism and focus on what you are good at. Learn to take agency and learn to sell. You will end up just fine, whether AI takes over the world or not.
252 likes · 14 replies · 63 saves

This is a targeting problem dressed up as a content problem. Students are sending unanswerable questions because they haven't thought clearly about what they actually want from the interaction. They want access. But they're asking for opinions on abstract futures, which gives the recipient nothing to engage with and the student nothing actionable in return.

The fix: ask a question only that specific person can answer. Something they've done, built, or decided. "You moved from investment banking to running a portfolio company in [year] - what was the first six months like operationally?" That's answerable. It shows you did research. It signals you're serious. Abstract trend questions signal you did a Google search.

The advice to "learn to sell" at the end of the tweet is worth more than the whole thread. Every version of the economy rewards people who can generate revenue. That doesn't change regardless of what the models can do.

The simple template that outperforms everything fancy

@coldemailchrisView on X
This is the best performing cold email I've ever written. (It's stupid simple) {{first_name}} - if we {{Offering Valuable Service for FREE/massive discount}} for {{company_name}} to {{achieve result}} - would you be interested? {{Signature}} P.S. {{More Context/Social Proof}}
146 likes · 11 replies · 292 saves

This is the conditional offer structure and it works because it's not a pitch. It's a question. You're not telling them what you do. You're asking if they want a specific outcome. Psychologically, that's a much easier message to respond to than a paragraph of credentials followed by a calendar link.

The P.S. is where most people underuse social proof. Put the most specific proof you have there. Not "we've worked with hundreds of companies." Something like "we did this for a $40M e-commerce brand last quarter and their CPL dropped 34%." That specificity in the P.S. is often what converts a "maybe" into a reply.

If you want to see more frameworks in this style, /killercoldemails has a full set.

@awesomeklingView on X
guy who puts "Sent from my iPhone" at the end of his obviously automated cold emails
124 likes · 5 replies · 2 saves

I've seen this. More than once. The sad part is it actually used to work as a deliverability and credibility hack. Now it's a signal that someone read a cold email blog from four years ago and stopped there. Recipients notice. The goal isn't to trick someone into thinking you typed this on a phone while standing in line for coffee. The goal is to write something that would be worth reading regardless of where it was sent from.

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What actually matters this week

Three things I'd take from this week's conversation and act on immediately:

One: Your domain health is more important than your copy. If you're seeing declining reply rates and you haven't looked at your spam complaint rate, your sending volume curve, or your warm-up status, start there. A brilliant email in a burned domain does nothing. Check the full stack at /coldemailtechstack2025.

Two: Do the work before you ask for the meeting. The free video ad approach in this week's tweets is a specific application of a principle that works everywhere. Audit something. Build something. Show your work before you ask for 15 minutes. The emails that get replies have already delivered value before the ask arrives.

Three: Stop self-rejecting before you send. The Versace story and the researcher who got into the McGill lab are the same story. The email worked because it got sent. Your dream clients aren't in a different universe. They have inboxes. Use them.

If you want follow-up sequences that keep deals alive after that first reply, /followup is where to go next.

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