n8n Workflow: Detect Meta Ad Spend Anomalies & Fatigue

Detect Meta Ad Spend Anomalies & Creative Fatigue—Automatically, Every Day

This n8n workflow checks your Meta Ads performance daily, spots spend and KPI anomalies, identifies creative fatigue, and uses OpenAI (gpt-4o-mini) to generate prioritized fixes—then posts the results to Slack so your team can act fast.

What this workflow does

• Runs daily at 9:00 AM via a cron schedule.
• Loads your configured Meta ad accounts and calculates two time windows: “yesterday” and a 7-day lookback baseline.
• Queries the Meta Graph API for:
  • Account-level daily metrics
  • Active ad-level daily metrics
  • 7-day ad totals for baseline comparison
• Compares yesterday’s performance against the 7-day baseline to flag issues such as:
  • Spend spikes/drops
  • CPA spikes
  • CTR drops
  • CPM spikes
  • Missing results / missing data
• Detects creative fatigue using ad frequency and CTR trend.
• If anything looks off, sends the findings to OpenAI (gpt-4o-mini) to generate a short diagnosis and prioritized fix recommendations (including creative ideas when fatigue is present).
• Posts a Slack alert with a link to Ads Manager, or an optional all-clear message.
• If the workflow fails, triggers an error handler that posts a workflow error alert to Slack.

Use cases

• SaaS marketing teams monitoring Meta Ads for sudden CPA or CTR drops.
• Agencies managing multiple client accounts and needing daily anomaly detection.
• Automation engineers building an n8n monitoring pipeline for performance and creative health.

Technical details

• n8n nodes/logic: if, set, code, slack, sticky note, http request
• Integrations:
  • Meta Graph API via HTTP Request nodes (Meta access token provided as HTTP Header Auth)
  • OpenAI using the gpt-4o-mini model
  • Slack for alerts and all-clear messages

Built for Meta Ads anomaly detection, creative fatigue monitoring, and automated Slack reporting—with GPT-driven recommendations.