How I built an AI system that sends 200 personalized cold emails a day (and actually gets replies)

A few months ago I was manually writing cold emails one by one. It was taking me 2-3 hours a day and the results were inconsistent at best.

So I built an automated system using n8n + AI that now handles the whole pipeline. Here's the exact breakdown:

Step 1 — Lead sourcing I pull leads from multiple sources (LinkedIn, Apollo, public directories) into a Google Sheet. Each row has: name, company, role, website URL.

Step 2 — AI enrichment An n8n workflow visits each company's website and LinkedIn profile, then passes that context to GPT-4o with a prompt like: "Given this company's focus and this person's role, write a 3-sentence cold email opener that references something specific about their business."

Step 3 — Email assembly The AI-written opener gets combined with a proven template structure: hook → problem → solution teaser → CTA. Every email looks handwritten but is generated in seconds.

Step 4 — Sending + tracking Emails go out through a dedicated sending domain via SMTP (never your main domain — protect your deliverability). n8n logs opens, clicks, and replies back to the sheet automatically.

Step 5 — Auto-reply handling When someone replies with interest, the workflow flags them in the sheet and sends me a Telegram notification so I can jump in personally. Interested replies get a follow-up sequence. Unsubscribes get removed instantly.

The results after 30 days running this:

📧 6,200 emails sent 📬 ~4.1% reply rate (industry average is 1-2%) 📅 23 calls booked 💰 4 clients closed

The key insight: personalization at scale isn't about fooling people — it's about showing you actually know who they are before you ask for their time. AI makes that possible without spending 3 hours a day on it.

Drop a comment if you want me to break down the exact n8n workflow structure — happy to share the details.

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