Your team wants to monitor for any unexpected spikes or declines in traffic to your website. Which built-in Google Analytics function highlights these events?
Google AI highlights these events.
Data-driven attribution highlights these events.
Machine learning highlights these events.
Anomaly detection highlights these events.
Explanation
Analysis of Correct Answer(s)
- Anomaly detection is the correct term for the built-in Google Analytics 4 (GA4) feature that identifies unusual changes in your data. It uses machine learning models to analyze historical data and predict an expected range for a metric. When an actual data point falls outside this predicted range, GA4 flags it as an anomaly, effectively highlighting unexpected spikes or declines for you to investigate.
Analysis of Incorrect Options
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Google AI and Machine learning: These are the underlying technologies that power the anomaly detection feature. However, they are not the name of the feature itself. Certification exams require you to know the specific name of the function within the tool, which is Anomaly detection.
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Data-driven attribution: This is a specific type of attribution model. Its purpose is to distribute credit for conversions to different touchpoints along the customer journey. It is used for performance analysis and is not related to monitoring overall traffic patterns for unexpected changes.