Affibay analyzes billions of advertising signals to detect fraud, predict conversions, and optimize campaigns using machine learning — delivering results before a dollar is wasted.
Affibay processes billions of advertising events using distributed machine learning pipelines and GPU accelerated compute infrastructure.
Billions of advertising events streamed from affiliate platforms.
Machine learning models analyze behavioral patterns.
Deep learning models trained on distributed GPU clusters.
AI predictions delivered in under 50ms.
Trusted by performance marketing teams at
The affiliate and performance marketing industry loses over $100B annually. Legacy tools react after damage is done. Affibay acts before a dollar is wasted.
Up to 36% of ad clicks are fraudulent. Bot networks drain budgets without generating a single real conversion.
Click farms generate fake app installs that pass basic validation, poisoning attribution data and wasting payout budgets.
Advertisers allocate millions with no predictive intelligence — spending heavily on audiences that will never convert.
Reporting shows what already happened. Without forward-looking ML predictions, optimization is always reactive and delayed.
Each module is purpose-trained on billions of labeled advertising events, delivering real-time intelligence across every stage of your campaigns.
Monitor traffic quality scores, fraud risk, conversion probability, and affiliate performance in one unified interface — with AI recommendations refreshed every 60 seconds.
Protect publisher payouts from fraud. Automatically flag suspicious traffic and score every publisher in real-time.
AI-rank your affiliate pool, detect fake conversions, and automatically optimize payout tiers based on real performance signals.
Detect fake app installs, incent traffic, and click injection before they contaminate your attribution data and UA spend.
Deliver measurable ROI improvements for clients with AI-powered campaign intelligence and automated optimization reports.