LEAD GENERATION

Advance engaged webinar attendees to MQL in HubSpot with a score-stamped note

Reads the Zoom attendance report, scores attendees, and for those above the bar updates their HubSpot contact to Marketing Qualified Lead while logging an engagement note…

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom webinar endsZoomZoom
  • ActionFetch attendance reportZoomZoom
  • LogicScore and filter qualified attendees
  • ActionSet HubSpot contact to MQL + scoreHubSpotHubSpot
  • ActionLog engagement note on timelineHubSpotHubSpot
  • OutputEmail qualified roster to ownerGmailGmail

What it does

This turns webinar attendance into measurable HubSpot pipeline movement. It scores each Zoom attendee, then advances qualified contacts to the Marketing Qualified Lead lifecycle stage and stamps a timeline note explaining why, so the change is auditable inside the CRM.

When to use it

Use it when webinars are a real top-of-funnel channel and you want attendance to actually change lifecycle stage in HubSpot rather than sitting in a spreadsheet. Ideal for teams whose nurture and routing rules key off lifecycle stage.

How it works

  1. 1The Zoom `webinar.ended` event triggers the run.
  2. 2An action retrieves the attendance and poll report from Zoom.
  3. 3A scoring step computes engagement from watch time, polls, and Q&A.
  4. 4A filter drops anyone below the qualification threshold.
  5. 5For each qualifier, an action finds or creates the HubSpot contact by email, sets lifecycle stage to MQL, and writes the engagement score to a custom property.
  6. 6A second HubSpot action logs a timeline note with the score breakdown.
  7. 7The output emails the marketing owner a roster of newly qualified contacts.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect HubSpotCRM, deals, marketing, support.
  3. 3
    Connect GmailRead, draft, send, label.
  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.

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