[UA] Anomaly Detection [Legacy]

You are viewing a legacy article about Universal Analytics. Learn more about Google Analytics 4 replacing Universal Analytics.

See Anomaly Detection insights

Analytics Intelligence regularly scans your data for anomalies. These anomalies are presented as Insights on web and mobile. To see these insights:

  1. Sign in to Google Analytics.
  2. Navigate to your view.
  3. Use the search field to enter a query like:
    • Show me an anomaly in users this month.
    • Did anything unusual happen this week?
    or

    Check your Insights cards in Analytics.

About Anomaly Detection

Analytics Intelligence Anomaly Detection is a statistical technique to identify “outliers” in time-series data for a given dimension value or metric.

First, Intelligence selects a period of historic data to train its forecasting model. For detection of daily anomalies, the training period is 90 days. For detection of weekly anomalies, the training period is 32 weeks.

Then, Intelligence applies a Bayesian state space-time series model to the historic data to forecast the value of the most recent observed datapoint in the time series.

Finally, Intelligence flags the datapoint as an anomaly using a statistical significance test with p-value thresholds based on the amount of data in the reporting view.

Was this helpful?

How can we improve it?
true
Choose your own learning path

Check out google.com/analytics/learn, a new resource to help you get the most out of Google Analytics 4. The new website includes videos, articles, and guided flows, and provides links to the Google Analytics Discord, Blog, YouTube channel, and GitHub repository.

Start learning today!

Search
Clear search
Close search
Google apps
Main menu