Manually qualifying leads and writing personalized outreach emails was killing my productivity. I was spending hours researching prospects just to send generic messages that got ignored.
I spent some time building an automated system last week, and here's how I solved it using Python + AI:
1. Smart Lead Scoring - Built a script that automatically visits each prospect's website, scrapes their content, and scores them 0-10 against our Ideal
2. Customer Profile using GPT. No more manual research or guessing if they're a good fit.
3. Intelligent Filtering - The system combines multiple lead sources, removes duplicates, and only keeps high-scoring prospects (7+). This eliminated 70% of unqualified leads from my pipeline automatically.
4. Personalized Icebreakers - For qualified leads, AI analyzes their website content and generates specific, human-sounding icebreakers. Instead of "I love your website," it finds actual details like "I saw your case study with Nike—impressive creative work."
Bulk Processing - Can process hundreds of leads overnight while I sleep. Each lead gets a custom icebreaker based on their actual business, not generic templates.
I went from spending 3-4 hours daily on lead research to 15 minutes reviewing the final list.
It costs less than a few coffee runs per month to maintain. Hope this helps you in terms of your setup 🙏
