Most “personalized” cold emails aren’t actually personalized. They say things like: “Saw you’re the Head of Marketing at X company.” That’s not personalization. That’s just LinkedIn scraping from 2016. Real personalization references something the person actually said. And AI makes this surprisingly easy. Here’s the workflow we’ve been using that tripled our reply rate. The AI Cold Email Personalization Workflow Step 1 - Scrape their LinkedIn activity Use tools like Apify to pull: • their last 2-3 LinkedIn posts • engagement text • sometimes even comments Now you have real signals about what they care about. Step 2 - Feed those posts into AI Take the posts and send them to GPT with a structured prompt. Now your email starts with something like: "Noticed your Series B announcement - we recently helped a similar company handle [specific challenge] while expanding across multiple countries." That instantly feels human. Step 3 - Generate personalized openers at scale Instead of manually researching every prospect… AI reads the posts → extracts insights → writes the opening line. Now every email feels like you actually read their content, even when you’re sending at scale. Why this works Most cold emails fail in the first sentence. People can instantly tell if: • it’s generic • it’s templated • it’s automated But when you reference something they posted… It breaks the pattern. And that’s when conversations start. If you want to learn more about cool AI + automation systems like this (the kind we use inside our outbound and lead gen machines)… Comment “AIA”

About to test a new sequence, but would like to hear your opinion on it first. ICP: Marketing related decision makers of dtc apparel ecommerce brands doing 100k-10mil arr with weak or nonexistent top of funnel email capture email 1: sl: quick one on your site {{FirstName}}, Noticed you’re running {{traffictype - e.g. Meta ads, UGC}} to your homepage while your email capture is {{structure - e.g. just a footer opt in that says "gain exclusive incentives and updates"}}. Most apparel brands convert under 5% of visitors with a similar setup, which keeps email under 20% of revenue. We took one from <15% to 61% email attributed rev in 45 days after rebuilding their full email system, starting with capture + welcome. I’ll rebuild your first-visit capture system and send you the full implementation, free of charge. Want me to mock it up for {{CompanyName}}? Best, {{accountSignature}} email 2: sl: re: quick one on your site {{FirstName}}, Following up on the capture rebuild. Still happy to rebuild your first-visit capture system and send the full implementation for free. Reply “yes” and I’ll get started. Cheers, {{accountSignature}} email 3: sl: yes or no {{FirstName}}, Putting together a few first-visit capture rebuilds for apparel brands leaking paid visits through low opt in popups this week. Took one from <15% to 61% email revenue after fixing this layer. Should I leave {{CompanyName}} out? {{accountSignature}}

Been wondering what CTA's has been working the best for you guys as of 2026?

Most cold emails fail before the open. Because their subject line screams: “I’m about to sell you something.” And the brain deletes those instantly. Think about the usual ones: • “Quick question about your business” • “Interested in growing your revenue?” You already know it’s a pitch. So you never even open it. What actually works? Subject lines that feel normal. Like they could come from a colleague, partner, or someone you already know. Examples: • “Thoughts on this?” • “Saw your post about this” • “Chicago next week” • “Is this your competitor?” Nothing salesy. Just curiosity + relevance. And one thing most people miss 👇 Your first line matters just as much as the subject line. Those two lines together are the entire preview. If they feel generic → ignored If they feel human → opened The goal is simple: Make your email feel like a conversation Not a campaign If it could pass as a message from someone they already know… You’ve already won half the battle. Comment “Copy” and I’ll share the prompt I use to generate subject lines that actually get opened.

Curious what signals to you that an inbox is ready to be sent from? Do you aim for a certain amount of warmup emails sent? Or warmup for a specific period of time?