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.
Learn everything about your online audience
Device detection is an essential asset for all businesses willing to address differences between devices their customers are using to access web applications, and other online content. That knowledge is typically used to optimize UX and conversion rate on mobile, improve web performance, analyze web traffic, or target ads and analyze ad campaigns.
DeviceAtlas allows you to use any of the 160+ device properties in the form of either Boolean, integer or string values. Some of the most often used include device type, operating system, marketing name, manufacturer, mobile browser, and a lot more. Our customers are even free to customize their data file to minimize memory footprint, so that only required properties are included.
For the web, native apps and mobile operator environments.
We’re happy to let you know that we have expanded the list of available properties with entries covering various aspects of smartphone hardware, from CPU to internal storage.
Here’s the full list of hardware properties:
|Chipset vendor||HiSilicon, Qualcomm, Samsung|
|Chipset model||APL1024, Kirin 960, MSM8998|
|Chipset name||A10 Fusion, Exynos 9 Octa, Snapdragon 835|
|CPU name||Hurricane & Zephyr, Mongoose M1 & Cortex-A53, Cortex-A57 & Cortex-A53|
|CPU cores||4 cores, 8 cores|
|CPU maximum frequency||2300, 2360 & 1840, 3000 & 2400|
|GPU name||PowerVR Series 7XT Plus, Adreno 540, Mali-G71 MP20|
|Number of SIM slots||1, 2|
|Internal storage capacity||64, 32/64/128, 32/128/256|
|Expandable storage||yes / no|
|Total RAM||2048, 4096, 6144|
Possible use cases for hardware identification
There are plenty of use cases where these hardware properties can be useful. A good example is a video ad network which needs to verify whether or not the target device can handle demanding, high-resolution video content. In this case, important factors to look into would be the CPU name, CPU frequency, GPU name, as well as the amount of RAM available.
Other web optimization use cases are also possible, such as targeting processing power-demanding web applications, games, or any other content based on selected hardware criteria.
Hardware device characteristics provide an excellent addition to all web analytics purposes where they complement other details on the visiting devices helping businesses to even better understand their mobile audience.
Hardware properties in your environment
Fill in the request a trial form to get a taste of what’s possible with DeviceAtlas during the 30-day test period.
Bear in mind that hardware properties listed in this article are only available on request as part of the locally-installed DeviceAtlas license. Be sure to let us know if you’d like to test drive them in your environment.
Get started with a local device detection trial
DeviceAtlas is a high-speed device detection solution used by some of the largest companies in the online space to:
- Optimize UX and conversion rate on mobile
- Boost web performance
- Target ads and analyze web traffic
- Enable App analytics and advertising insights
Get started with a locally-installed trial to test DeviceAtlas at no cost.