MARKETING

Track Ad Variant Fatigue in Airtable and Alert the Channel on Slack

Pulls daily ad-variant metrics from BigQuery into an Airtable fatigue tracker, scores each variant's fatigue level.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule starts the fatigue refresh
  • ActionPull per-variant CTR, frequency, and spend from BigQueryGoogle BigQueryBigQuery
  • ActionUpsert variant rows into the Airtable fatigue trackerAirtableAirtable
  • LogicCompute and rank a fatigue score from CTR decay plus rising frequency
  • OutputPost a ranked digest of the most fatigued variants to SlackSlack

What it does

This workflow maintains a living fatigue tracker in Airtable. Each day it loads the latest CTR, frequency, and spend per ad variant from BigQuery, upserts those rows into Airtable, and recomputes a fatigue score that blends CTR decay with rising ad frequency. It then posts a single ranked digest to Slack listing the worst offenders, so the team gets a prioritized worklist rather than a flood of individual pings.

When to use it

Reach for this when you want one durable source of truth for creative health that non-technical stakeholders can browse, plus a low-noise daily nudge in Slack. It is the lightweight option before you commit to per-variant briefs.

How it works

  1. 1A daily schedule starts the run.
  2. 2BigQuery returns per-variant CTR, frequency, and spend.
  3. 3Rows are upserted into the Airtable fatigue tracker so history accumulates.
  4. 4A scoring step ranks variants by a fatigue score combining CTR decay and frequency.
  5. 5A Slack message posts the top fatigued variants with their scores and links back to Airtable.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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