Detecting iPhone models has always been a bit of a headache for companies working in the online space, mainly due to the fact that device model tokens are missing in the UAs. You won't find iPhone models in your Google Analytics dashboard. Here's how DeviceAtlas tackles this issue.
With more than 60% of American households now watching internet-delivered content on their TV, OTT advertising has come of age. But for ad platforms, especially in the video space, the challenge is knowing when exactly that is. How do you know you are addressing audiences in a Connected TV context?
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.
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.
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.
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.
50% of mobile ad clicks are accidental, according to a recent study from GoldSpot Media. This finding strikes fear into the hearts of any marketers who thought mobile ads are the answer to dropping CTRs for desktop banners. The good news is that there are still ways of improving mobile ad targeting so that the ads are displayed for the right user at the right time.
With so many devices connected to the internet most companies have understood the need for a reliable way to determine what devices their customers are using. However, not all businesses have a full understanding of what is possible with a device detection solution.