There are several techniques to detect anomalies in email marketing:
Statistical Methods: These involve using statistical algorithms to identify outliers based on historical data. Machine Learning Models: These models can learn from past data and predict future anomalies by recognizing patterns. Threshold-Based Approaches: These involve setting predefined thresholds for metrics such as open rates or bounce rates. Any deviation beyond these thresholds triggers an alert.