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Ad Tech

Anomify Ad Tech Use Case

The advertising technology industry moves at staggering scale and speed, processing billions of events per day across global digital properties. With revenue tied directly to successful ad deliveries, ad impression accuracy, and fraud prevention, any breakdown - be it system misconfiguration, demand-supply mismatch, or latency spike - can have immediate financial consequences.

Anomify’s roots in large-scale ad-tech mean it’s uniquely positioned to help ad operations and engineering teams. By ingesting time-series data (impressions, fill-rate, request volumes, latency, revenue metrics, and partner integrations), Anomify can highlight anomalies instantly - down to publisher, geography, tag, or creative. This is particularly important in heterogeneous environments where 3rd-party dependencies may introduce subtle, hard-to-spot problems.

Real-world engagements illustrate that Ad Ops teams can configure Anomify to monitor critical metrics, customizing alert thresholds and noise suppression. The system’s ability to cross-correlate events - linking sudden drops in fill rates to a new deployment or correlating latency spikes with specific upstream partners - cuts investigation times and reduces the risk of revenue leakage.

For teams under-resourced relative to event volume, Anomify provides confidence that blind spots are minimized, and critical business-impacting issues are surfaced and dealt with rapidly.