Reference

Spend Anomaly Detector

Alert when daily spend deviates significantly from normal.

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Category: Integration. Difficulty: Intermediate. Estimated time: 1 hour. Estimated time saved: 2h/month. These estimates depend on your account and task.

Platforms

Integrations

n8n
Slack

Connect these services separately in the AI client or automation tool you use. A cookbook example does not add a native Ad Superpowers integration.

Best for

Prerequisites

n8n account
30 days of spend history

Connect the required accounts and your AI assistant, then confirm the workspace and client context. Open a recipe for its prerequisites, prompts and expected output. Treat durations and time savings as editorial estimates, not guarantees. Check proposed writes before approving them. Recipes involving another service need a separate connection to that service.

Tools used

Tool	Purpose
`meta_get_insights`	Spend data
`google_ads_run_gaql`	Spend data

The tools available to your assistant depend on account connections, workspace permissions and client support. Browse the tool catalog.

Prompts

Use these prompts in your connected AI assistant. Replace account names, dates and targets as needed. Read the result before following a recommendation or approving a write.

Anomaly Detection

Set up anomaly detection for daily ad spend. Calculate the average daily spend over the past 14 days and alert me if today's spend is more than 30% above or below that average.

Expected output: n8n workflow with anomaly detection logic

Automation

This recipe is marked as suitable for automation. It still needs a configured scheduler or automation service, account access and appropriate approval for writes. Saving a prompt or workflow does not schedule it.

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