Case study · 05
Personalised Lead Nurturing
Uses validated lead data and commitment-based routing to draft a tailored nurture email for human review in Gmail.
System overview — a simplified portfolio diagram showing the governed path and human-control boundary.
Project overview
A clearer route from problem to action.
This workflow reads new lead information, validates it, selects an appropriate nurturing approach using a commitment score and creates a tailored Gmail draft for a person to review.
Business challenge
The friction behind the workflow
Small marketing teams need to follow up personally without allowing incomplete data, duplicate handling or generated copy to trigger unsafe automatic outreach.
How it works
From input to controlled outcome
- 01
Read and validate new lead information from Google Sheets.
- 02
Check for duplicates and route by commitment score.
- 03
Draft an email using the appropriate nurture approach.
- 04
Apply safety checks to the generated content.
- 05
Create a Gmail draft—never an automatic send.
Designed value
What the system is built to improve
- More consistent lead follow-up
- Personalisation matched to lead context
- A lighter operational workload
- Human judgement retained before contact
Responsible AI & human control
Automation supports judgement. It does not replace it.
- Lead-data validation
- Duplicate checking
- Commitment-based segmentation
- AI safety checks
- Human review in Gmail before sending
My contribution
Architecture, logic and safeguards
I designed the validation, segmentation and drafting path to help teams personalise follow-up while preserving review at the point of customer contact.
Current validation status
The description is matched to the supplied n8n JSON. It is presented as a portfolio workflow with human review before sending.