Following up with inbound leads by email consistently, at scale, without losing context of ongoing conversations, is hard to do manually across many leads at once.
- 01Data model
A five table structure separates leads, contacts, conversations, messages, and events, so the system can track not just 'was an email sent' but the full back and forth history per contact.
- 02First touch send
New leads are automatically sent an initial outreach email.
- 03Inbound handling
Replies come in through a webhook, get matched to the right conversation thread, and get logged as new messages.
- 04AI summarization
An AI agent periodically summarizes longer conversation threads so a human can catch up in seconds instead of re reading everything.
- 05Automated follow up
If a lead hasn't replied after a set period, an AI generated follow up is sent automatically, continuing the thread naturally.
- 06Human handoff
Conversations that need a real person (complex questions, ready to close leads) are flagged and handed off, and closed conversations are marked as such to stop further automated messages.
Every lead gets timely, contextual follow up without a person having to track each conversation manually, while still being pulled in exactly when a human touch is needed.
- email marketing automation
- AI email follow up automation
- automated lead nurture sequence
- n8n email automation
The five table data model behind an AI email follow up system. A technically credible piece for an audience of builders/agencies.
Does this work with any email provider?+
Yes. Unipile handles sending, but the data model and logic are email provider agnostic.