MARKETING

Webinar Clip Multi-Platform Drip Scheduler

On a daily schedule, pull the oldest 'Ready to schedule' webinar clips from Notion and queue them across your social platforms as a staggered drip, then mark each as scheduled.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionQuery Notion for ready clips, oldest firstNotionNotion
  • LogicTake daily allotment, stop if queue empty
  • ActionPublish clips across social platformsSocial publishing
  • OutputMark cards Posted with live URLs in NotionNotionNotion

What it does

Releases your backlog of finished webinar clips as a steady drip rather than a one-day dump. Each day it grabs the next clips that are ready, posts them across your connected social platforms with tailored copy per network, and updates Notion so nothing gets posted twice.

When to use it

Use it when you have a queue of approved, captioned clips and want consistent daily posting without a human pressing publish. It paces the release so a single webinar fuels weeks of content.

How it works

  1. 1A daily schedule starts the flow each morning.
  2. 2It queries Notion for cards in "Ready to schedule," ordered oldest first.
  3. 3A logic step takes only the day's allotment (default 2 clips) and stops early if the queue is empty.
  4. 4For each clip it adapts the caption per platform and posts the clip and thumbnail via the multi-platform publisher.
  5. 5The matching Notion card is moved to "Posted" with the live URLs recorded.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect NotionPages, databases, comments.
  2. 2
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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