Mobile Ad Fraud Costing $350m a year – How to Detect And Fight Back

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Partner Post - Headway Take control of your Mobile Marketing Campaign!

Posted: November 8, 2017

Mobile ad fraud is an increasing threat to both developers and marketers. Studies have shown that mobile ad fraud resulted in over $350 million being lost in 2016 alone, with all signs pointing to higher and more costly rates of fraud in the coming years.
To help educate marketers and developers on the risk, global media and marketing firm, Headway, has published a new white paper, Critical Mobile Ad Fraud Detection Strategies. This whitepaper informs audiences about not only the threat of mobile ad fraud, but also provides strategies on detection and remediation.
As mobile adoption continues to grow, there is greater opportunity for fraudsters in the space. Install fraud and fake purchases only scratch the surface of what they can do to falsify the metrics and revenue of legitimate apps.
More concerning is the increase in sophistication and availability of the technology used. As it becomes easier to create fraudulent ads in mobile apps, the attraction to hackers will rise. It’s critical that marketers and developers become knowledgeable in potential attack vectors, and stay ahead of fraud through modern detection and prevention techniques.
In addition to addressing the potential threats, the paper delves into both detection and prevention. Knowing how to stop a threat before it becomes one using various methods like data analysis is a crucial component to maintaining the integrity of mobile advertising metrics and performance.
As an industry leader in the data-driven marketing and mobile advertising space, Headway is an undeniable authority in this area. Mobrain Genius, the innovation developed by Headway in partnership with FraudScore, is a leading solution in mobile ad detection and prevention. It’s this expertise that gives Headway the knowledge to help developers and marketers expand their awareness of mobile ad fraud, and what can be done to detect and prevent it.
You can download the white paper here.