Glossary/Measurement & Attribution/Anomaly Detection
Measurement & Attribution
Anomaly Detection
Automatically flagging data points that deviate sharply from expected patterns, such as sudden traffic drops or tracking breaks.
By Brandon Mina·CEO, BrandPilot AI·Updated November 2026
Short answer
Anomaly detection is the automatic flagging of data points that deviate sharply from expected patterns, such as sudden traffic drops, conversion spikes, or tracking breaks. Analytics tools use statistical models of normal behavior to alert teams quickly, helping them spot technical problems, fraud, or genuine performance shifts before decisions rely on faulty data.