#Antifraud
9 articles
Why Antifraud Often Hurts Publishers More Than The Fraud Itself
Publishers lose more money to aggressive fraud filters than to actual fraudsters. The silent deductions, unexplained rejections, and opaque quality scores cost real revenue.
Why We Chose Lightweight Anomaly Detection Over ML Models
Everyone claims AI-powered fraud detection. We deliberately chose simpler approaches. Here's the engineering reasoning behind that decision.
What Antifraud Services Actually Detect (And What They Can't)
Antifraud vendors promise to catch fraud. But their capabilities have real limits. Understanding what they can and cant do helps set realistic expectations.
Decentralized Antifraud vs 'Trust Us': Why Buyer-Controlled Fraud Detection Matters
Traditional networks run opaque antifraud systems and ask you to trust the results. A decentralized approach lets buyers choose their own providers and control their own rules.
The Fallback Engine: How PopTrade Handles Rejected Traffic Without Losing Value
When antifraud rejects an impression, what happens to that traffic? Our fallback engine ensures publishers dont lose monetization while buyers dont pay for rejected traffic.
Case Study: How a Buyer Eliminated VPN and Proxy Traffic from Campaigns
A media buyer was losing money on users hiding behind VPNs and proxies. Learn how they used PopTrade's detection features to filter out masked traffic and improve campaign quality.
How PopTrade Detects Ad Fraud: A Technical Overview Without the ML Hype
An honest look at how our fraud detection works - signal-based scoring, soft rejects, and why we dont pretend to have magical AI that catches everything.
Antifraud Is Not a Switch: Why Fraud Detection Is Always a Tradeoff
Stricter antifraud catches more fraud but also blocks legitimate traffic. Looser antifraud lets fraud through but maximizes reach. Every setting is a business decision.
Case Study: How a Media Buyer Reduced Fraud Traffic by Tuning Anti-Fraud Settings
A practical case study showing how adjusting anti-fraud detection rules helped a media buyer eliminate low-quality traffic and stabilize conversion rates.