How can I deeply research prospects and personalize cold emails when I find it hard to get information? How deep should research go, and can you give a quick guide?

#271 · how to personalize cold emails without AI slop

How can I deeply research prospects and personalize cold emails when I find it hard to get information? How deep should research go, and can you give a quick guide?

Don't personalize the whole email—personalize only small snippets using enhanced variables. For example, use a template like 'Hey {first name}, love {thing we have in common}, fun to see you mention that on {platform} where I got it.' Then continue that vein to your offer. If AI writes the whole email, it will likely produce something stupid and obvious as AI‑generated. Keep the AI constrained everywhere and feed it only small variables (enhanced variables) with examples, letting it spin the initial info into a tightly woven, human‑sounding message. For research, use Claude to look up the person, compile company info, and grab all social media profiles; if you can't, use scrapers or similar tools.

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youtube ↗AI & Automation

How would you build a totally autonomous reply bot for a cold email campaign that sends over 10,000 emails a day?

Here’s how I’d build a fully autonomous reply bot for a cold‑email campaign that sends 10 000+ messages a day. I’d start with a cheap inference platform such as N8N and create an AI agent inside it. The agent would have access to a knowledge base about the company and a library of proven reply templates collected from the past few months. When a new inbound email arrives, a workflow would trigger that (1) pulls the entire conversation history with that prospect, (2) checks the knowledge base to confirm the company context, and (3) scans the template library to find the closest match for the desired outcome (e.g., booking a meeting). The selected template would be populated with any dynamic details, and the AI would generate the final reply while staying as close to the template as possible to avoid sounding overly AI‑generated. The idea is to give the AI minimal freedom—just enough to fill in variables—so you retain control over tone and quality. I originally built this in N8N, but once you scale to 100 000 emails per day you can replace the visual builder with lightweight Python scripts running on a serverless platform like Modal, listening to webhook events from your email service.

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youtube ↗Cold Email

What tips do you have for using cold email and voice outreach to attract investors for a startup, especially when you earn a commission on the investments you bring in?

The creator outlines a straightforward investor outreach process: first build a list of target investors in the relevant niche (e.g., ad tech). For each investor, use a tool like Perplexity or an OpenAI web search to find their last 10 investments and a brief summary of who they are. Use that information to personalize a cold email—reference a recent investment, explain why it was strategic, note that you’re now working with a company that fits their thesis, and offer to share a pitch deck or more details. He also suggests pulling the investor list into LinkedIn to find mutual connections and request intros, but notes that this takes longer. Because investors see many deals daily, he prefers a one‑shot approach: send the personalized email, collect the positive responses, remove those leads, and then optionally follow up with a more nuanced connection request on the remaining prospects.

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youtube ↗Cold Email

You mentioned in a cold‑email video that personalization didn’t affect your results much. Is that still your opinion, or is depersonalization now worth trying?

I definitely recommend depersonalization now. In a recent campaign I tested sending Apollo leads without any real personalization—just solid copy that pretended to be personal. It worked because it required less effort. However, not every campaign can survive that approach, so you still need to sprinkle in some personalization when the copy isn’t strong enough. The best way to find out is to run a test: send a thousand emails with only the first name and company name, no AI‑generated personalization. If the results are good, keep it; if not, try adding back some personalized elements or other tactics.

cold emailpersonalizationdepersonalization

youtube ↗AI & Automation

How would you integrate AI as a growth operator for creators with info‑coaching offers to gain maximum leverage, especially with zero social proof?

I would focus on building AI‑powered systems that increase reach. First, create ad‑creative systems: AI can generate Meta ads quickly, replacing the slow Canva workflow that takes days with a process where the media buyer can spin up an ad in 30 minutes, allowing rapid iteration. Second, use AI for cold‑email outreach: let AI scour the web, build massive prospect lists, and craft personalized icebreakers. This expands the number of eyes on your offer. Finally, improve lead response speed by automating the post‑inquiry workflow—when a form is submitted, an AI reads the data and instantly sends a personalized text or email saying, “Hey, this is Cloud, I’ve received your request and will call you in 30 seconds.” This creates the perception of immediate customer service and can be applied across email, SMS, and other platforms, boosting conversion and expansion.

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