Device detection is an essential asset for every business that wants a solid understanding of all devices its customers use to access their web apps and other web content. It can either be used for web optimization projects or embedded in a product, adding device awareness to enhance targeting and reporting capabilities. DeviceAtlas has several deployment options to match your infrastructure requirements. Here’s what’s possible.
Did you know that DeviceAtlas local license allows you to customize your data file? It helps you reduce the memory footprint and further increase the performance of your device detection solution. Here's all you need to know about configuring your data file.
With users’ online buying behavior becoming increasingly complex and non-linear there is ever more sensitivity to web performance. Use our brand new ROI tool which will help you calculate your company's revenue uplift from implementing server-side device detection.
Device detection solutions provide you with an exceptional insight into your mobile audience based on a number of key device characteristics. We have expanded the list of device properties with a set of hardware items which let you get even more details on what devices your customers are using.
DeviceAtlas allows you to detect additional device properties using the Client-side method. In this article you can learn how to take full advantage of DeviceAtlas Client-side Component and its ability to identify individual Apple devices.
We're delighted to announce that DeviceAtlas won the IHS Markit Innovation Award at the Mobile World Congress 2017 in Barcelona. The awards ceremony took place during the ShowStoppers event before the show on Sunday 26 February.
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 which shows a single “Apple iPhone” category for all iPhone models. Here’s how DeviceAtlas tackles this issue.
Non-human traffic is larger than most business owners are aware of. This is mainly due to the fact that Google Analytics doesn't report on bots and crawlers by default. Here's how device detection can help you identify bots to serve them different payloads or even block them from accessing the website.