Anomaly Detector

Detect statistical anomalies in advertising campaign metrics using Z-score and IQR methods. Identifies spend spikes, sudden CTR/CVR drops, budget runaway events, and other metric outliers in real time. Provides automated alert threshold configuration and platform-specific query patterns for continuous monitoring.

Capabilities

• Z-Score Detection: Flag metrics that deviate >2σ from the rolling mean
• IQR (Interquartile Range) Detection: Robust outlier detection resistant to skewed distributions
• Spend Spike Alerts: Detect budget runaway before daily caps are exhausted
• CTR/CVR Drop Detection: Identify sudden performance degradation
• Multi-Platform Monitoring: Query patterns for Google Ads, Meta, LinkedIn, Reddit, TikTok, Microsoft Ads
• Threshold Configuration: Auto-calibrate alert sensitivity per metric and campaign maturity
• Composite Scoring: Combine multiple signals into a single anomaly confidence score

Workflows

1. Real-Time Spend Monitoring