How I Built an AI System for 1,000+ Personalized Cold Emails
Sep 08, 2025
My competitor’s cold emails pulled 12% response rates while mine struggled at 0.5%, and the difference came down to personalization. I built an n8n system that scrapes 500+ leads via Apify + Apollo, enriches them with verified emails and company data in Supabase, scrapes each website for context, and then runs everything through GPT-4 to generate hyper-personalized icebreakers in seconds. Instead of flat openers, the system delivers relevance-driven lines tied to company milestones, growth challenges, or pipeline issues that actually resonate. The impact was immediate: reply rates jumped from 0.5% to 12%, while my outreach workload dropped from 20 hours a week to just 20 minutes a day.
Turn 500 leads into 500 personalized emails in minutes — watch how.
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Inside, you’ll find:
- The full “Personalized Cold Email” workflow
- 2–3 new automations added weekly (sales, content, newsletter, lead gen)
- Frameworks proven in live business systems
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