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TransData · 2024
AI cold-outreach automation
Role: ML Engineer
Conversion 12% → 34% (+183%)
90% less manual qualification
2.3× deal closure
The problem
Manual lead qualification was slow and converted poorly.
The approach
- ▹Automated pipeline over Apollo lead data with custom ICP scoring and GPT-4 few-shot personalized emails, plus an admin dashboard with CRM integration.
The impact
- ✓Conversion 12% → 34% (+183%)
- ✓90% less manual qualification
- ✓2.3× deal closure
Trade-off, said plainly
The ICP scoring rules were tuned to this company's ideal customer profile. They need re-tuning, not a copy-paste, for a different market or offer. The scoring logic is specific by design, not a generic model.
Stack
N8NGPT-4ReactMaterial-UICRM APIs
Want to see it working?
Run the live demo, or send an inquiry to talk about your version of this.