MARKETING

Pre-Launch UTM Link Validator from Airtable Campaign Register

Scans every tracked link in your Airtable campaign register, flags malformed or non-compliant UTM parameters against your naming convention.

CategoryMarketing
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAirtable record enters Ready for QA viewAirtableAirtable
  • ActionRead link + naming-convention fields from recordAirtableAirtable
  • LogicParse URL and validate UTM parameters against rules
  • LogicBranch on compliant vs malformed
  • OutputWrite Pass/Fail verdict, reason, and suggested fix back to rowAirtableAirtable

What it does

This workflow audits the destination URLs sitting in your Airtable campaign register and verifies that each one carries a complete, correctly formatted UTM string before the campaign goes live. It checks for the five canonical parameters (source, medium, campaign, content, term), enforces your lowercase-and-no-spaces convention, catches duplicate or empty values, and stamps a Pass or Fail verdict plus a human-readable reason on every record.

When to use it

Run it whenever a marketer marks a campaign row as Ready for QA in Airtable. It catches the broken links that otherwise silently fragment your analytics — a capital letter in utm_source, a space that becomes %20, a missing utm_campaign — before a single impression is served.

How it works

  1. 1An Airtable record enters or updates into the Ready for QA view, triggering the run.
  2. 2The workflow reads the link field plus the expected naming-convention fields from that record.
  3. 3A logic step parses each URL and validates all UTM parameters against the rules.
  4. 4It branches: fully compliant links route to Pass, anything malformed routes to Fail with a reason string.
  5. 5The verdict, reason, and a corrected-URL suggestion are written back to the Airtable row.

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.

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