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Schedule Performance Anomaly Alerts in Google Ads

Step-by-Step Guide to Schedule Performance Anomaly Alerts in Google Ads

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Watch the Video Tutorial:


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How to Schedule Performance Anomaly Alerts in Google Ads

1) Select Tools from the left-hand-side menu

2) Select Solutions under Bulk actions

3) Click the + icon, under Account anomaly detector Create new

4) Select your criteria (your performance anomaly benchmarks)

5) Select your historical data time frame (ideally 4 weeks)

6) Select the email to receive the alert

7) AUTHORISE the solution and save

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Frequently Asked Questions on Scheduling Performance Anomaly Alerts in Google Ads

What are performance anomaly alerts in Google Ads?

Performance anomaly alerts notify you when there’s an unexpected change in campaign performance — such as sudden drops or spikes in clicks, conversions, or spend. These alerts help you act fast, troubleshoot issues, and maintain consistent performance without manually monitoring every campaign.

How do I schedule performance anomaly alerts in Google Ads?

Log in to your Google Ads account → Tools & Settings → Rules.

Click + Create Rule → Campaign Rules.

Set a condition (e.g., “Conversions decreased by more than 30% compared to yesterday”).

Under Frequency, choose Daily or Weekly.

Select Send Email Notification to receive alerts automatically.

Click Save.
Your rule will now check for anomalies and notify you whenever performance deviates from your defined thresholds.

Can I apply anomaly alerts to multiple campaigns or accounts?

Yes. You can apply your alert rule to all campaigns, or select specific ones. If you manage multiple accounts under a Manager Account (MCC), you can replicate the same alert rule across each child account for consistent monitoring.

What are best practices for setting performance anomaly alerts?

Focus on key metrics like CTR, Conversions, CPA, and Spend.

Avoid overly strict thresholds — allow for natural daily fluctuations.

Combine alerts with automated rules to pause or adjust campaigns when issues are detected.

Review alerts weekly to identify recurring performance trends or systemic problems.

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