MARKETING

Build Per-Track Post-Show Nurture Sequences

An agent that reviews each event-lead segment, drafts a tailored multi-touch email nurture sequence per track.

CategoryMarketing
Enginepaperclip
Difficultyadvanced
Triggermanual
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMarketer starts run after segmentation
  • ActionRead segmented tracks + counts from AirtableAirtableAirtable
  • ActionAgent drafts tailored sequence per track
  • LogicSelf-review drafts for brand voice
  • ActionQueue first touch to track leads via GmailGmailGmail
  • OutputWrite full sequence plan to Notion for sign-offNotionNotion

What it does

For each follow-up track coming out of an event, an agent composes a fitting multi-touch email nurture — distinct messaging and cadence for hot, warm, and cold leads — then queues the first touch and documents the whole sequence for the team to approve and reuse.

When to use it

Use it after leads are segmented when you want thoughtful, track-specific outreach instead of one generic blast. It's the post-show step that turns a pile of scans into a real follow-up program without a marketer writing every email by hand.

How it works

  1. 1A marketer kicks off the run manually once segmentation is done.
  2. 2The agent reads the segmented lead tracks and counts from Airtable.
  3. 3For each track it drafts a tailored email sequence — subject lines, body copy, and send spacing matched to that tier's intent.
  4. 4The agent reviews its own drafts for brand voice and consistency before finalizing.
  5. 5The first touch for each track is queued for send via Gmail to the track's leads.
  6. 6The complete sequence plan and rationale are written to a Notion page for marketing sign-off and future reuse.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect GmailRead, draft, send, label.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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