MARKETING
Real-Time Spend Guard: Pause-Recommend Fatigued Variants via Webhook
An ad-platform webhook fires when a variant's hourly spend spikes; the workflow checks its recent CTR in BigQuery, logs a fatigue verdict to Airtable.
How it runs
The automated pipeline, trigger to output.
- TriggerAd-platform webhook fires on an hourly spend spike for a variantHTTP webhook
- LogicValidate the payload and extract the variant id
- ActionPull the variant's recent CTR trend from BigQueryBigQuery
- LogicDecide if the variant is fatigued while overspending
- ActionLog the incident to the Airtable budget-guard tableAirtable
- OutputEscalate a pause recommendation to SlackSlack
What it does
This workflow reacts in real time instead of on a schedule. When your ad platform posts a webhook for a variant exceeding an hourly spend threshold, it immediately checks that variant's recent CTR trend in BigQuery. If the variant is both spending hard and fatiguing, it records the incident in an Airtable budget-guard log and escalates a pause recommendation to Slack so someone can act before the day's budget is wasted on a tired creative.
When to use it
Use this for high-budget campaigns where a fatigued variant can quietly burn thousands before the next daily report. It is the safety net that catches fast-moving spend, not slow trends.
How it works
- 1The ad platform sends a webhook when a variant's hourly spend spikes.
- 2A guard step validates the payload and pulls the variant id.
- 3BigQuery returns the variant's recent CTR trend.
- 4A decision step confirms whether the variant is fatigued while spending.
- 5The incident is logged to Airtable, and a pause recommendation is escalated to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect AirtableBases, tables, views, automations.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
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