User Agent parsing: how it works and how it can be used
This article answers many questions around User-Agent parsing - how it works, and what it can offer.
How to get detailed device analytics for web and apps environments [New Whitepaper]
For organizations where native apps and mobile web are both important channels, the onus is on them to take what they know about devices accessing their web properties and replicate that in the native app environment. Our latest report on ‘Device Intelligence Across Environments’ explores the best way to get a consistent view of device usage across the web and app environments and how to use this data to amplify your analytics and advertising efforts.
18 Mobile Market Statistics You Should Know in 2018
Read on to find out what's the new in the mobile industry, what percentage of users have a smartphone, what's driving mobile activity, how has mobile advertising fared this year and many more mobile marketing statistics.
Why DeviceAtlas is both Fast AND Accurate
Speed should never come at the cost of accuracy. Accuracy is the sine qua non of device intelligence—if you can’t be sure about the intelligence, what is the point? The DeviceAtlas team believe that the choice between speed and accuracy is a false choice, and an unnecessary one. Our patented algorithm allows for the extremely high speeds afforded by a PATRICIA Trie, but with the flexibility to accommodate the reality that you cannot have prior knowledge of all devices on the market.
How to create and leverage your own device database
The wider the variety of devices used, the greater the risk is in terms of providing an inadequate user experience which has an impact on your bottom line. This means companies need to be on their A-game when delivering effective ways to handle device fragmentation for their customers. Find out how you can leverage your own device database.
DeviceAtlas for the Native App environment
Our customers have regularly asked us whether we can index device information against make/model strings in addition to User-Agent strings. Accordingly, DeviceAtlas has been extended to support the app environment, in addition to web and mobile network environments.
The role of device detection in Video Advertising
For video advertising technology players, getting it right on mobile requires an accurate knowledge of the device you are addressing. Having real-time data on whether a device is a mobile, tablet or desktop as well as other device capabilities such as screen size, resolution, OS and OS version and multimedia capabilities will ensure that the creative will work from a technical perspective and is contextually targeted for mobile devices.
Why programmatic advertising needs device intelligence
One of the most persistent and important challenges facing the mobile advertising industry is how to manage increasing device fragmentation. Learn about the implications device fragmentation has for players in the programmatic advertising space and how they can effectively harness fragmentation to benefit their platforms and create value for their customers.
Try the Demo: DeviceAtlas for Analytics
DeviceAtlas customers come from many different industries, not just Internet and tech companies. The solution is deployed by a whole range of companies in retail, telecommunications, advertising, financial services, the public sector, the list goes on. The one thing they have in common is a need to understand how their audiendes engage with them from a device perspective.
SpotXchange Chooses DeviceAtlas to Target Ads to Specific Devices
Afilias today announced that the SpotXchange video ad platform has chosen DeviceAtlas as its device intelligence provider. DeviceAtlas is now powering all of SpotXchange’s video ad requests ensuring that the right ads are delivered to the right audience, and campaign statistics are available at a device level. Increasing device fragmentation has made for a new online landscape in which users can access video content on a myriad of devices including smartphones, tablets, laptops, game consoles, and smart TVs. These devices vary greatly in terms of screen sizes, network connectivity, input methods, user contexts, and user post