MARKETING

Engagement-Scored Nurture Cadence from Webinar Watch Time

Uses Zoom watch-time data to score each attendee's engagement, then assigns a fast, standard, or slow OpenAI-drafted email cadence and enrolls them in the matching HubSpot…

CategoryMarketing
Enginesim
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom webinar endedZoomZoom
  • ActionFetch per-attendee watch timeZoomZoom
  • LogicScore attendees into hot/warm/cool tiers
  • ActionDraft cadence-tuned series per tierOpenAI
  • OutputEnroll contacts in matching HubSpot sequenceHubSpotHubSpot

What it does

Someone who watched the whole webinar is warmer than someone who dropped after five minutes, and their nurture pace should differ. This workflow reads per-attendee watch time from Zoom, scores engagement, and assigns each person a cadence tier. OpenAI drafts the appropriate email series, and contacts are enrolled into the HubSpot sequence that matches their tier, so hot leads get a tighter cadence and cool ones get a gentler one.

When to use it

Use it when you run high-stakes webinars and want follow-up intensity to track real interest instead of treating every registrant identically. Great for pipeline-driven demand gen.

How it works

  1. 1Zoom reports the webinar ended with the engagement report ready.
  2. 2The flow pulls per-participant watch duration and join count.
  3. 3A logic step scores each attendee into hot, warm, or cool tiers by percentage watched.
  4. 4OpenAI drafts a cadence-tuned email series for each tier (fast, standard, slow send offsets).
  5. 5Each contact is enrolled into the HubSpot sequence matching its tier.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect HubSpotCRM, deals, marketing, support.
  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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