MARKETING

Pre-Launch UTM Linter for Airtable Campaign Links

Validates every campaign URL queued in Airtable against your UTM naming rules before launch, flags malformed rows, and posts a go/no-go summary to Slack.

CategoryMarketing
Enginesim
Difficultybeginner
Triggerschedule
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires over the launch queue
  • ActionFetch pending campaign rows from Airtable viewAirtableAirtable
  • LogicLint each URL against UTM naming rules
  • LogicSplit clean links from rule violations
  • ActionWrite Approved / Blocked + reason back to AirtableAirtableAirtable
  • OutputPost launch-readiness summary to SlackSlack

What it does

Scans an Airtable view of campaign links awaiting launch and lints each URL's UTM parameters against your house rules: required keys present (source, medium, campaign), lowercase enforced, no spaces, allowed-value lists for source and medium, and no stray or duplicate params. Clean rows are marked `Approved`; bad rows are marked `Blocked` with a human-readable reason, and a launch-readiness summary lands in Slack.

When to use it

Run it before any campaign push when links are drafted by multiple people across paid, email, and partner channels. It catches the typos that silently fragment your attribution reporting weeks later.

How it works

  1. 1A scheduled trigger fires each morning over the Airtable "Ready to Launch" view.
  2. 2The flow fetches all rows where status is `Pending Review`.
  3. 3A lint step parses each URL, normalizes case, and checks every UTM rule, building a pass/fail verdict and reason per row.
  4. 4A branch splits clean links from violations.
  5. 5Airtable is updated: clean rows to `Approved`, violations to `Blocked` with the failure reason written back.
  6. 6A Slack message reports counts, the worst offenders, and whether the batch is safe to ship.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    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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