SOCIAL MEDIA

Publish a shared post and log advocacy metrics back to Airtable

When an employee confirms a draft via a webhook from the advocacy portal, publishes it to their LinkedIn, then writes the post URL, author, and content source to Airtable…

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPortal webhook: employee confirms draftHTTP webhook
  • LogicValidate employee and content payload
  • ActionPublish post to employee LinkedInSocial publishing
  • ActionAppend metrics row to Airtable logAirtableAirtable
  • OutputSlack confirmation with live linkSlack

What it does

Closes the advocacy loop: it takes an employee's confirmed post, publishes it to their LinkedIn, and records a clean audit row in Airtable so you can attribute reach and reporting back to specific content and people.

When to use it

Use it when you need measurable employee advocacy — tying each shared post to its source content and author — rather than guessing who shared what.

How it works

  1. 1The advocacy portal sends a webhook when an employee confirms their edited draft.
  2. 2The flow validates the payload: employee ID, final post text, and the source content reference.
  3. 3It publishes the post to the employee's connected LinkedIn profile and captures the returned post URL.
  4. 4If publishing fails, it posts an alert to the operator Slack channel and stops.
  5. 5On success, it appends a row to the Airtable advocacy log with author, source content, post URL, and timestamp.
  6. 6It sends the employee a Slack confirmation with the live link.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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