fraud0 Academy
How fraud0 Detects Invalid Traffic (IVT)
Welcome to the fraud0 Academy.
This section explains how fraud0 identifies invalid traffic and gives you the knowledge to interpret your reports with confidence. Each article builds practical understanding of what happens behind the detection logic and how it affects your analytics and ad performance.
The Academy is designed for marketers, analysts, and ad-operations specialists who want to understand how traffic quality is measured, classified, and improved.
What You’ll Learn
How fraud0 detects and classifies invalid traffic (IVT) in real time.
The difference between on-site and in-ad measurement.
How to read signals like hardware anomalies, TLS fingerprints, and behavioral patterns.
What “bot,” “suspicious,” and “human” traffic mean in practical terms.
Each topic connects technical depth with direct examples so you can apply what you learn to your daily work.
Academy Articles
[How fraud0 Detects Invalid Traffic (IVT)]
Learn how fraud0 combines multiple detection layers to identify bots, suspicious sessions, and genuine users. Understand the real-time scoring system and how your bot rate is calculated.
[On-Site vs. In-Ad Measurement]
Discover how different measurement layers complement each other. See why on-site tracking captures what happens after the click, while in-ad tracking exposes fraud that never reaches your website.
A reference list of the key terms, technologies, and detection concepts used across the Academy.
Download detailed papers explaining fraud0’s approach to traffic transparency and measurement accuracy.
How to Use the Academy
Start with the articles above in order.
Each page links to related topics for deeper exploration.
You can return to this page anytime to access all Academy content.