Advertising fraud detection mechanism developed based on artificial intelligence

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Advertising fraud detection mechanism developed based on artificial intelligence

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Advertising fraud has become one of the greatest threats to the global digital advertising industry. According to statistics from the Association of National Advertisers , it is estimated that digital advertising fraud will cause losses of US$6.5 billion to the global advertising industry in 2017; a recent report by Juniper Research also shows that advertisers are expected to lose up to US$1.9 billion due to advertising fraud in 2018. Billion US dollars, this situation will become more and more serious, and the losses caused by 2022 are estimated to reach 44 billion US dollars.

In fact, the marketing and advertising industry has spent bolivia whatsapp number data 5 million a lot of resources to find effective ways to "mitigate" the impact of advertising fraud on businesses. Note that I use the word "mitigate" here because advertising fraud is similar to Internet fraud. It is as difficult to guard against as road fraud or financial fraud, and there is no set of solutions that can completely eradicate this problem. As advertising fraud techniques continue to evolve, our solutions must also keep pace with the times.

Most prevention and control measures against ad fraud rely on simple, human-defined rules to pass suspicious traffic. However, as the types and techniques of advertising fraud have become more and more complex in recent years, traditional countermeasures are no longer sufficient to comprehensively prevent advertising fraud.

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As ad fraud becomes more complex and difficult to detect, our detection mechanisms must evolve simultaneously, and Appier believes the only way to do it is through artificial intelligence (AI).
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