Mobile ad fraud is a big concern in the mobile space. Unfortunately, we have seen this before in ad tech - players looking to make a quick buck by following revenue via monetizing it in an illegal way. Mobile ad fraud has created a dark ripple in the space, resulting in a lot of mistrust. The challenge is that fraud is widespread, and fraudsters are getting more and more sophisticated. It has created an era where fraud has become a very broad term that includes various aspects of mishandled media buying, and taking advantage of a growing industry.
It is seemingly impossible to get rid of fraud entirely, but it can definitely be mitigated and controlled by educating and working together. It is crucial to align ourselves on benchmarks and expectations in order to cut fraud at the source, and not perpetuate the publishers responsible.
Fraud follows the advertisers’ goals. It initially started with volumes (using shortcuts by selling masked incent traffic, masking adult traffic, auto redirect and simple bots), creating undesired user experiences and bad brand quality measures. As the targeting capabilities and education of advertisers increased in complexity, so did fraud, leading to the growth of farms and adaption of bots. These also became more sophisticated - to the level where they were even located in in-app purchases and eventually organic downloads such as click spamming, click injection and ad stacking.
The most prominent fraud identifier to date is click spamming (also known as user coloring, or attribution fraud), where a last click wins the attribution. It makes it imperative to be able to weave out the good traffic. Click spamming isn’t clear-cut to detect, but with the right tools and knowledge, it can be flagged through different identifiers such as mean time to install, very low conversion rates, duplicate clicks per IP/device and ad stacking. It is paramount that advertisers work closely and transparently with their tracking system and vendors to ensure close monitoring and quick handling.
It’s hard to set a clear number because of the different elements of fraud involved, but vast research is pointing to a global loss in the billions - everyone is affected. As education and cooperation grows, I hope to see this number decrease significantly.
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