Lead research and outreach in one workflow

An n8n and GPT-4 pipeline that enriches approved leads, writes personalised emails, sends them, follows up on WhatsApp and logs every step in Supabase.

Client: Outreach automation
Sector: B2B lead generation
Outcome: Connected research, email drafting, follow-up and execution records in one workflow.
Stack: n8n, GPT-4, Supabase, SMTP, Twilio

The problem

Lead research, enrichment, message drafting and follow-up were disconnected manual tasks with no record of what had already happened to each lead.

What I built

An n8n + GPT-4 pipeline that enriches authorized lead data, drafts personalized emails, sends through SMTP, follows up on WhatsApp and logs every execution in Supabase.

How it works

Approved lead data
Authorised lead lists enter the workflow from the agreed sources.
Enrich
Each lead is enriched with company and role context.
GPT draft
GPT-4 writes a personalised email from that context.
Send + log
Emails go out over SMTP, follow-ups over WhatsApp, and every run is logged in Supabase.

Key technical decisions

The model is one step, not the system

GPT-4 writes the message; n8n and the connected services handle data movement and delivery. Clear responsibilities make the pipeline easy to debug and extend.

Track state per lead

Each lead has its own state in Supabase, so a failed step can be retried on its own instead of restarting the whole run — and nobody gets the same email twice.

Measure the right thing

Sending, delivery, replies and meetings are tracked separately, so volume is never confused with results.

Results

Connected research, email drafting, follow-up and execution records in one workflow.

Build something similar

Research, drafting, sending and follow-up in one workflow
Per-lead state tracking with safe retries
Email and WhatsApp follow-ups automated
Reported volume of 200+ personalised emails per day

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