Introduction
Low Session Time Anomaly filter protects against low-quality or suspicious conversions by evaluating session duration patterns. It prevents conversions from being processed when a high percentage of them occur within an unusually short time after the initial click, suggesting potential fraud.
This filter can also be considerd to detect incentivized traffic and it operates based on flexible thresholds and historical trends.
It considers overall traffic behavior, ensures there is enough data to draw meaningful conclusions, and can optionally evaluate traffic quality at a more granular level (e.g., per Sub ID).
Key factors influencing this analysis include:
- The proportion of conversions with unusually short session durations.
- The volume of data required before analysis becomes active.
- Historical context used to benchmark traffic behavior.
- The ability to isolate and respond to anomalies at a sub-id level as well.
These mechanisms work together to prevent the acceptance of low-trust conversions without requiring manual intervention or client-side configuration.