Click fraud detection is a very real threat on today’s internet. These are the fraudulent activities that take place when the goal is to generate clicks on your ads and distract genuine website traffic from clicking through. The only known cost-effective way of fighting click fraud has been to use artificial intelligence, but this method has not been 100% successful yet. Fortunately for advertisers, there are several ethical solutions to help lower their click fraud risks without having a major impact on their site performance.
This blog post will provide an overview of both the technological and ethical methods for combating click fraud and what you can do as an advertiser to reduce your risk of being targeted or taking advantage of it before implementing any solution.
Currently, the most successful method of reducing click fraud is through artificial intelligence. This may not sound intuitive at first, but in fact, it doesn’t need to be complicated. Part of this is to do with the nature of artificial intelligence itself. Artificial Intelligence is simply a human-created tool designed to mimic or replicate human cognition or thought processes using automated techniques such as machine learning, deep learning neural networks, and other advanced techniques. There is nothing particularly amazing about Artificial Intelligence except that it uses technology and algorithms to deliver what feels like magic at times through its ability to learn from data and patterns without being programmed in advance.
The main way that artificial intelligence is used to combat click fraud is by imitating the human thought process. Artificial intelligence uses algorithms to analyze data about clicks and purchases and use to determine what a “normal” pattern of behavior looks like. Once it knows what normal looks like, it can then identify any anomalies in the data and learn how often they are occurring. This allows the algorithm to find anomalies that could be indicative of click fraud detection or other forms of undesirable activity such as low-quality traffic.
When click fraud is detected using this method, there is no manual intervention at all at first. The algorithm automatically flags any anomalies as click fraud and your account is flagged accordingly. If a certain threshold is reached, your account might be permanently banned until you can prove that these clicks were not fraudulent. This is what makes this technology so effective: it knows how to autonomously combat click fraud so you don’t have to worry about employees or other human intervention errors that are prone to happen during the review process.
The downside of using artificial intelligence for this particular task is that such technology isn’t perfect at detecting patterns of fraudulent behavior on its own just yet.
On a concluding note, what I would like readers to take away from this article is that there are solutions available for advertisers that have been proven to be successful in combating click fraud. When your business depends on the effectiveness of ads, it is vital to know that you are protected from such fraudulent activity or you risk losing business over this issue.
Through sheer necessity, greater awareness has been raised around the use of artificial intelligence and its ability to combat click fraud. As such, advertisers will increasingly turn to these solutions to reduce their risks of being targeted by click fraud. This will allow them to keep their campaigns afloat despite their weaknesses in detecting these issues on their own.