Articles
Machine learning has a long way to go before it’s reliable enough to tackle something like mobile fraud.
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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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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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