MARKETING

Airtable UTM auto-fix and campaign-name normalizer

Watches an Airtable link table for new or edited rows, auto-corrects fixable UTM issues (casing, spaces, separators) in place, and flags anything that needs a human decision.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAirtable row created or updatedAirtableAirtable
  • LogicParse base URL and UTM parameters
  • LogicNormalize casing, spaces, and separators
  • LogicDecide auto-fixable vs needs-review
  • ActionWrite corrected URL and status back to rowAirtableAirtable
  • OutputFlag review rows with explanatory noteAirtableAirtable

What it does

This workflow treats your Airtable base as the source of truth for campaign links. Whenever a row is created or updated, it normalizes the tracking URL automatically: lowercases parameters, replaces spaces with hyphens, collapses bad separators, and rewrites the campaign name to your canonical template. Safe, deterministic fixes are written straight back to the row; ambiguous problems (unknown source, missing medium) get a status flag and a note instead of a silent guess.

When to use it

Use it when your team builds links directly in Airtable and you want every saved row to be launch-ready without manual cleanup. Great for high-volume paid-social and email operations where typos compound across hundreds of variants.

How it works

  1. 1An Airtable record-created/updated event triggers the run.
  2. 2The tracking URL is parsed into its base and UTM parameters.
  3. 3Deterministic normalization runs: lowercase, trim, hyphenate, dedupe parameters.
  4. 4Logic decides whether the row is fully auto-fixable or needs review.
  5. 5Auto-fixable rows are written back with the corrected URL and a "normalized" status.
  6. 6Rows needing a human get a "needs review" status and a field note explaining what's wrong.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  3. 3
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  4. 4
    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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