Mobile Ad Fraud Prevention

The Mobile Fraud Landscape

Mobile ad fraud costs the industry billions annually. Fraudsters use sophisticated techniques to steal ad budgets, corrupt your data, and undermine campaign optimization. Without protection, you're likely paying for installs that never happened or came from bots.

Fraud Types We Detect

Click Injection

Malicious apps detect when other apps are being installed and fire fake clicks to steal attribution credit. We detect this through click-to-install time analysis.

SDK Spoofing

Fraudsters simulate SDK signals without actual installs occurring. Our cryptographic verification ensures every install is real.

Device Farms

Physical or virtual device farms generate fake installs at scale. We identify suspicious device patterns and behavioral anomalies.

Click Flooding

High volumes of fake clicks are sent hoping to claim credit for organic installs. Our click validation filters out illegitimate traffic.

Detection Methods

• Time-to-Install (CTIT): Analyze click-to-install patterns
• Device fingerprinting: Identify suspicious device characteristics
• Behavioral analysis: Detect non-human engagement patterns
• Network analysis: Flag suspicious publisher behavior
• Machine learning: Continuously evolving fraud models

Fraud Response

• Real-time blocking of fraudulent traffic
• Detailed fraud reports by source
• Evidence packages for network disputes
• Automatic refund claim support
• Blocklist management