Mobile ad fraud comes in many forms, and continues to change. AppsFlyer’s fraud protection keeps you ahead of every threat, through real-time detection that includes cluster analysis, personalized validation rules, and behavioral monitoring to maintain accurate and trustworthy data.
Detect sophisticated fraud schemes with AI behavioral analysis and catch complex fraud in real time, including post-install through Cost per action (CPA) and in-app events. AppsFlyer’s advanced approach prevents fake installs, manipulated payouts, and fraud that bypasses initial screening.
Set fraud detection rules that match your business needs and risk tolerance. AppsFlyer’s Validation Rules and Fraud Protection Studio enable you to adjust sensitivity levels, align enforcement to your goals, and create custom fraud definitions, all without technical setup.
Ever-evolving threats require a comprehensive fraud solution. Discover how our always-on fraud detection and prevention suite keeps your marketing budget secure.
Harness rapid AI learning to detect fraud in real time, block bypasses faster, and ensure clean data for strategic, insightful, and accurate decision-making.
Dig deeper and compare partner behavior trends for abnormal behavior patterns to identify fraud
Access fraud activity overviews, savings estimates, and raw data to analyze trends, optimize decisions, and evaluate media performance.
Identify and block fraudulent in-app and CPA events, even after the app install attribution, with unique fraud detection rules.
Block fraudulent installs after the attribution through automatic pattern identification that creates new fraud reasoning.
Maintain open, transparent communication with your media partners with easy-to-integrate APIs and postbacks.
Looking for an MMP? Get your free assessment checklist today
AppsFlyer’s fraud protection helps you detect and block ad fraud across every stage of the user journey, from click to install to in-app event. It uses AI, machine learning, behavioral modeling, and pattern analysis to flag suspicious activity in real time and after attribution. You can catch fraud even after an install is recorded, ensuring your results reflect real user engagement. This gives your team the clean data and confidence needed to optimize performance and invest budget more effectively.
UA and growth marketers, analytics teams, and marketing executives who want to ensure accurate measurement, optimize campaign performance, and scale with cleaner, more reliable data. It also supports leaders looking to understand fraud’s business impact and protect budget strategies as they grow.
AppsFlyer detects and blocks install hijacking, click flooding, attribution spoofing, bot traffic, device farms, fake in-app events, and CPA manipulation. Its detection models evolve continuously to identify new fraud patterns across channels, with AI and behavioral analysis enhancing speed and accuracy.
Yes. AppsFlyer detects post-install fraud by identifying suspicious patterns after attribution. While you can’t block fraud retroactively, you can export post-attribution findings to reconcile with media partners and prevent repeat abuse, helping protect future budgets and maintain data integrity.
AppsFlyer detects fake post-install events that fraudsters use to appear as valuable users in CPA campaigns. A combination of rule-based detection, behavioral analysis, and AI helps identify and filter out invalid conversions, so you can protect your ROI and focus budget on real user engagement.
