MARKETING

Auto-Fix and Re-Score UTM Links in an Airtable Campaign Tracker

When a campaign row is marked 'Submitted for QA' in Airtable, it normalizes fixable UTM issues (casing, spacing, encoding), flags the unfixable ones for a human.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAirtable row marked 'Submitted for QA'AirtableAirtable
  • ActionRead raw UTM links and campaign fields from rowAirtableAirtable
  • LogicNormalize fixable UTM issues and compute QA score
  • LogicBranch: any unfixable issue remaining?
  • OutputWrite corrected link, score, and status back to rowAirtableAirtable

What it does

Takes a campaign tracker row in Airtable and runs its UTM links through cleanup and scoring. Mechanical problems — uppercase values, spaces, double encoding, stray tracking params — are normalized automatically. Problems that need judgment, like a campaign name that does not match any known launch, are flagged for a person. The row gets a corrected link, a QA score, and a clear status.

When to use it

Use it when your team tracks campaigns in Airtable and wastes time hand-correcting the same predictable UTM mistakes. It removes the busywork and reserves human attention for the genuine ambiguities.

How it works

  1. 1An Airtable row status change to 'Submitted for QA' triggers the flow.
  2. 2The flow reads the row's raw UTM links and campaign fields.
  3. 3A normalization step rewrites fixable issues and computes a QA score.
  4. 4A branch checks whether any unfixable issue remains.
  5. 5Unresolved rows are set to 'Needs Human Review' with notes; clean rows are set to 'QA Passed'.
  6. 6The corrected link and score 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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