AdOps Core
MEASUREMENT

Why does invalid traffic filtering create an ad campaign reporting discrepancy?

Invalid traffic filtering can create a reporting discrepancy because ad servers and verification vendors classify and remove suspicious impressions at different stages and with different methods. Compare matched events, traffic sources, device patterns and finalized reporting before treating the difference as a broken tracker.

Invalid traffic, or IVT, includes impressions or clicks that do not represent genuine user activity. It can include automated traffic, repeated activity, accidental clicks and traffic from unreliable sources. Different systems evaluate these signals using their own filters, data availability and processing timelines.

A publisher report may initially include an event that a platform removes during later filtering or earnings finalization. A verification vendor may also classify more or less traffic as invalid because it sees different device, page, identity or behavioral evidence. That means an IVT discrepancy does not automatically prove that either counter is broken.

Investigate the same date range, timezone, inventory, device, geography and traffic source in both systems. Compare matched request or event IDs where available, separate estimated from finalized data and look for concentrated changes after a new traffic partner, implementation or app version. Escalate with evidence, but do not attempt to reverse-engineer or bypass a platform's fraud controls.

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FAQ

Does an IVT discrepancy mean the impression tracker is broken?

Not necessarily. Different filtering methods and processing times can remove different events. First align the reporting window and compare matched events before changing the implementation.

What evidence should I inspect for invalid traffic?

Review traffic source, device, geography, timing, repeated activity, app or page version and matched request IDs, then compare estimated and finalized reporting across the systems.

Updated August 5, 2026. Guidance is based on current simulator evidence, recurring support patterns and the official resources linked above.

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