Case Study: Eyeview achieves real-time revenue protection with Anodot

Anodot’s Eye on Data Protects Eyeview’s Revenue

Eyeview is a New York–based video advertising technology company whose VideoIQ platform programmatically delivers personalized video across TV, desktop, tablet and mobile. Operating in real-time bidding at scale (about 200,000 requests per second and roughly 200,000 tracked metrics), Eyeview struggled with static thresholds that couldn’t keep up with large, seasonal traffic swings — triggering constant “alert storms,” masking root causes, and risking revenue from ad serves.

To solve this, Eyeview deployed Anodot’s real-time anomaly-detection platform, which uses machine learning to learn metric seasonality, surface anomalies immediately, correlate related alerts, and prioritize root causes. The result: teams can preempt revenue-impacting problems, avoid hundreds of downstream alerts, maintain system stability for ad serving worth hundreds of thousands of dollars per day, and expand monitoring from engineering to business teams.

Eyeview

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CTO