MARKETING

Daily UTM drift audit against BigQuery click data

Each morning it scans the previous day's click events in BigQuery for UTM values that violate your taxonomy.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionQuery distinct UTM tuples and click counts from BigQueryGoogle BigQueryBigQuery
  • LogicValidate each tuple against approved taxonomy
  • LogicRank violations by click volume
  • OutputPost ranked drift report to SlackSlack

What it does

This workflow runs a scheduled audit over your live click and session data in BigQuery. It pulls every distinct UTM combination seen in the last 24 hours, scores each against your taxonomy (unknown sources, freeform mediums, casing mismatches, missing campaign IDs), and produces a ranked report of the worst offenders by click volume. The report lands in Slack so the team fixes high-traffic violations first.

When to use it

Use it when links are already in market and you need to catch taxonomy drift that slipped past pre-launch checks — vendor-appended parameters, hand-edited links, or legacy campaigns still firing.

How it works

  1. 1A daily schedule triggers the audit.
  2. 2A BigQuery query returns distinct UTM tuples and their click counts for the prior day.
  3. 3Each tuple is validated against the approved taxonomy.
  4. 4Violations are ranked by click volume so the costliest errors surface first.
  5. 5A formatted drift report with counts and example URLs is posted to the marketing Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  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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