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Eliminating Ad Fraud with Artificial Intelligence

Ad fraud is on the rise and marketers are on the verge of giving up on traditional practices to discard fraudsters. The human workforce can efficiently come up with reforms to completely wipe out the ad fraud epidemic in its entirety , but will drastically increase the time spent and will go through essential resources at a fast pace. Experts state that almost 37% of the traffic generated today are from machines, not humans. As, ad fraudsters tend to come up around the measures set by marketers to prevent fraud, brands and marketers have to think about better and productive reforms which can assist them in eradicating fraud.

The common practices that fraudsters utilize to ransack resources are :

  • Dummy websites
  • Traffic Fraud
  • Masking URL’s
  • Ad Stacking
  • Lead Fraud

As it is humanly impossible to monitor vast amounts of fraud occurring across the internet, marketers are looking for an alternate solution - in the analytical and problem solving traits of Artificial Intelligence. Statistics state that almost $7 billion of the total ad revenue was lost to ad fraud last year. The utilization of AI in fraud detection have been implemented efficiently in the finance sector. Consistent access to exceptional computing platforms are giving fraudsters a better hand in the notion. The extent of ad fraud is increasing rapidly and brands seem to be taking the biggest hit.

Artificial Intelligence performs precise reforms to eradicate ad fraud by analyzing traffic and determines how it represents in terms of conversions. Brands can employ AI into their strategies in order to leverage its power of performing analytics and delivering optimal outputs by assessing the ambiguities in traffic ratios. AI effectively performs real-time detection and hinders fraudulent web traffic using semantic filters gradually eliminating fraud altogether. AI enables marketers to efficiently target IP addresses to comprehend if a bot is being used. This is conceivable as AI can recognize odd traffic patterns that are more likely to be a bot rather than a human. When AI and humans work together to eliminate ad fraud, AI can generate predictive insights in regard with the IP addresses tracked and can flag websites that might show traits of fraudulent activities.

With the advent AI in fraud detection and eradication, marketers are discovering diverse possibilities where AI can thrive. As almost zero human intervention is necessary in implementing this reform, time and resources are saved significantly. By the successful implementation of AI algorithms for fraud detection and eradication, the advertising industry is set to rack in billions in lost revenue.