MARKETING

Route Zoom webinar registrants into attended vs. no-show nurture tracks

When a Zoom webinar ends, this splits the registrant list into people who attended and people who registered but never joined.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom webinar endsZoomZoom
  • ActionFetch registrant + participant reportsZoomZoom
  • LogicSplit into attended vs. no-show
  • ActionDraft segment-specific email copyOpenAI
  • ActionSend personalized follow-up emailGmailGmail
  • OutputTag attendance segment in HubSpotHubSpotHubSpot

What it does

After a Zoom webinar wraps, it pulls the full registrant and attendance report, separates attendees from no-shows, and sends each segment a tailored Gmail follow-up. Attendees get a thank-you with the recording and a next-step CTA; no-shows get a 'sorry we missed you' email with the on-demand link. Everyone is tagged in HubSpot so your nurture sequences know who showed up.

When to use it

Run this after every live webinar where attendance and no-show rates matter for follow-up. It removes the manual CSV export, the spreadsheet sorting, and the copy-paste mail merge that usually eats an hour after each session.

How it works

  1. 1Zoom emits a webinar.ended event.
  2. 2The flow fetches the registrant and participant reports from Zoom.
  3. 3A logic step compares the two lists and labels each contact attended or no_show.
  4. 4OpenAI drafts a segment-specific subject line and body using the webinar topic.
  5. 5Gmail sends the personalized email to each contact.
  6. 6HubSpot updates each contact with the matching attendance tag for downstream nurture.

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
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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