MARKETING

Fatigue Pause-Request with Approval, Then Publish Replacements

Flags spend-burning fatigued creatives, posts a one-click pause-approval request in Slack, and on approval publishes the queued refresh variants to the ad platforms.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled spend-waste scan
  • ActionRank fatigued creatives by wasted spendGoogle BigQueryBigQuery
  • ActionPair each with approved replacementAirtableAirtable
  • OutputPost pause/publish approval to SlackSlack
  • LogicBranch on approve vs. hold
  • ActionPublish replacement variants liveSocial publishing

What it does

Turns a fatigue signal into an auditable action: it surfaces creatives wasting budget, asks a human to approve pausing them in Slack, and once approved, publishes the pre-drafted refresh variants live to your ad platforms.

When to use it

Use it when you want automation to do the legwork but keep a human gate before anything pauses or goes live. Good for teams with spend governance or brand-safety sign-off requirements.

How it works

  1. 1A scheduled scan reads creative metrics from BigQuery and ranks fatigued creatives by wasted spend.
  2. 2A logic step keeps only those above the spend-waste floor and pairs each with its approved replacement in Airtable.
  3. 3Slack posts an approval request listing the creative, decay, and the replacement variant, with Approve/Hold actions.
  4. 4A logic branch waits on the decision; Hold ends the run with a logged reason.
  5. 5On Approve, a publish step pushes the replacement variants live across the platforms and posts a confirmation back to the thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect Social publishingCross-post to X, LinkedIn, Instagram, TikTok, and 4 more in one call.
  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.

Run this workflow in your colony.

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