Ad Fraud By Device
Free IP lookup API to uncover fraud, bots, and high risk users.
|
DEVICETYPE |
FRAUD_PERCENT |
|
mobile |
17.46 |
|
desktop |
36.55 |
|
tablet |
16.36 |
Comparing ad fraud across devices is complicated because not only are we looking at fraud rates but also the operating systems that allow them. Ad fraud done on a desktop device can be vastly different than on mobile or tablet from a technical perspective because the operating system or platform exploits are different.
Desktop devices consistently show the highest fraud rates, while tablets have the lowest. Mobile devices fall in the middle range for both periods. This is for several reasons:
- Ad fraud automation is easier to create on desktop
- Vulnerabilities in both desktop browsers and desktop operating systems
- Desktop allows for more complicated fraud techniques.
To a certain degree, looking at fraud by devices is like comparing apples and oranges – they are both fruits and share a lot of attributes, but they are substantively different. Furthermore, fraud rates for operating systems can vary greatly. Some mobile devices or browsers are more vulnerable to attack.
While most traffic is mobile traffic, certain sectors such as finance, business services, real estate, B2B services, legal and professional services, education, and career development, still receive more desktop traffic. Depending on your website/app’s traffic mix, understanding what type of traffic has a higher probability of fraud can help you determine how to deploy your fraud prevention measures.
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How Device Fraud Data Is Collected
Fraudlogix has the largest fraud pixel detection footprint in the world, so the data presented here is proprietary and comprehensive. Pixels are placed throughout the web and fraud data is collected and aggregated. This analysis provides advertisers and publishers with actionable insights for protecting their digital advertising dollars across all browsers by revealing correlations between browser characteristics and advertising fraud.
Implications
These findings have important implications for advertisers, publishers, and users alike. Advertisers may need to adjust their strategies based on browser-specific fraud rates, while publishers might need to implement additional security measures for certain browsers. Users, especially those using browsers with higher fraud rates, should remain vigilant and consider using additional security tools.
The data underscores the ongoing challenge of ad fraud in the digital advertising ecosystem and highlights the need for continued efforts in developing more effective fraud prevention technologies across all browser platforms.