Articles
Tag: ad fraud
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Why Machine Learning Isn’t the Answer to Ad Fraud (Yet)
Machine learning has a long way to go before it’s reliable enough to tackle something like mobile fraud.
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Ad Fraud: The Biggest Risk Is Dirty Data
When we talk about mobile ad fraud prevention, we usually think of it in terms of financial theft. Someone is taking our money, and only pretending to give us something for it.
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Technology Alone Won’t Bust Ad Fraud: This 5 Step Approach Can Help
Digital media fraud is nothing new but it is becoming endemic and impossible to manage. Billions of dollars are being made by fraudsters who sell ads that are never seen by humans. According to the World Federation of Advertisers, fraudulent internet traffic schemes are becoming the second-largest market for
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Why We Must Fight the $7.2B Mobile Ad Fraud Threat
Ad growth on mobile has been steadily outpacing TV and desktop over the last few years, with mobile ad spends estimated to reach a whopping $70 billion by 2018. But with losses estimated at $7.
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How to Lift the Veil of a Ghost Site
You’ve heard the claims: up to a third of all web traffic is suspicious and it is costing advertisers and publishers billions of dollars. You’ve also probably asked yourself a couple of questions.
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AdTech Merger Intensifies Fight On Ad Fraud
Impact Radius, a marketing attribution and analytics platform, today acquired Forensiq, a company that aims to expose and remove fraudulent traffic from online ads, for an undisclosed sum.
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How to Eliminate Mobile Ad Fraud for Good
Mobile ad fraud is a multifaceted issue: it’s difficult to identify, and once victimized, advertisers have an even harder time proving that the fraud occurred in the first place. Three key patterns signify fraudulent behavior affecting marketers today.
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Ad Industry Group Forms Program to Fight Digital Fraud
Advertisers, digital marketers and publishers are fighting back against internet-related fraud, which siphons an estimated $8.2 billion annually from the US digital advertising supply chain. Ad fraud is defined as the deliberate practice of attempting to serve ads that have no potential to be viewed by a human user
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