MARKETING

Weekly UTM Drift Report from BigQuery to Slack

Each week this rolls up every UTM value seen in the BigQuery clickstream that falls outside the approved taxonomy, ranks the worst offenders by traffic volume.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionAggregate last 7 days of UTMs from BigQueryGoogle BigQueryBigQuery
  • LogicFlag non-compliant values and compute drift metrics
  • LogicRank worst offenders by click volume
  • OutputPost compliance digest to Slack channelSlack

What it does

Gives marketing leadership a recurring view of how badly tracking is drifting. Weekly, it aggregates the prior seven days of clickstream from BigQuery, compares every distinct UTM value against the approved taxonomy, and produces a ranked digest: the top non-compliant sources and mediums by click volume, the campaigns with free-text names, and the week-over-week change in compliance rate. The digest is posted to a Slack channel.

When to use it

Use it for visibility and accountability rather than per-link fixing. It surfaces which channels or teams are generating the most untracked or malformed traffic so you can target coaching, and it trends compliance over time so you can prove the program is working.

How it works

  1. 1A weekly schedule fires the workflow.
  2. 2It queries BigQuery to aggregate distinct UTM values and their click volume for the last seven days.
  3. 3Logic flags values outside the taxonomy and computes the compliance rate and week-over-week delta.
  4. 4It ranks the worst offenders by traffic so the digest leads with what matters.
  5. 5The formatted digest 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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