Traffic quality is a measure of whether clicks, visits, views, and other engagement signals appear genuine or are likely to be fabricated. In cyber security and digital advertising, it helps distinguish real human activity from bots, scripted automation, or coordinated fraud. High-quality traffic usually shows natural timing, varied navigation, and believable session patterns; low-quality traffic may repeat the same actions, arrive in bursts, or mimic user behavior too consistently.
This matters because many defenses and billing systems rely on traffic metrics to judge reach, performance, and value. Attackers abuse that trust by generating fake engagement to drain ad budgets, inflate analytics, or hide automation inside ordinary apps and websites. Defenders look for anomalies in click paths, session duration, device fingerprints, and interaction patterns, then compare those signals against expected user behavior. Traffic quality is therefore a practical fraud-detection concept, not just a marketing metric.