Blogs

Device Detection is crucial to achieving optimum completion rates in the survey industry. During 2014 FocusVision found their existing device detection solution wanting and after a full evaluation switched to 51Degrees. Read this case study to understand the background, migration process and benefits gained.

Mobile Marketing Magazine use 51Degrees device data comparing Samsung sales and profits against Galaxy S6 web share.

Competition in the multibillion dollar Android market is thriving. Over the last two years it has been notoriously dominated by Samsung. However, Samsung is not the only Android manufacturer in the battle, so the question we posed was which Android manufacturer is the front runner for second place?

51Degrees takes a look at the current state of BlackBerry, here are the vital stats that can help us analyse the possibilities for BlackBerry.

Last week there was 253 Devices added to the 51Degrees device detection database and we will have a look at some of the smart phones and tablets that have been recently released by Archos

The purpose of testing is to investigate the impact of 51Degrees device detection and image optimisation modules on the performance of the DotNetNuke (DNN) Content Management System. The DNN platform was tested with high user page loads. DNN was chosen as a representative .NET platform for testing 51Degrees .NET API.

Snapdragon is a system on a chip (SoC) product family by Qualcomm, targeted to smartphones or tablets. This company has long been one of the benchmark companies in mobile devices.

Last week 51degrees added different devices with Snapdragon processors.

We're always working hard to improve the 51Degrees APIs making them easier to use, consume fewer resources and provide new features. Read about the exciting new changes we've made!

Device vendors as varied as the mighty Samsung, to brands like Pantech and Micromax all recognise the importance of identifying different device models when accessing web sites. However, Apple do not fully support this approach.

Some device detection solutions have tried to address the problem by artificially stressing the iPhone or iPad to determine how quickly its processor can complete iterative tasks. Understanding how the device performs under stress provides an indication as to the CPU available and therefore the model of the device. The approach can yield more information but ironically at the expense of user experience as the page load time increases and the battery is drained more rapidly.

If every web site were to stress iPhones and iPads to gain model information the web would slow down for Apple users. This isn’t in Apple’s interest. However, if Apple make a simple change the problem can be avoided.

51Degrees data analysis team stress tested a range of real iPhone and iPad devices, both old and new using all the major web browsers in order to determine if CPU stress testing is a viable additional method to identify iPhone and iPad models alongside User-Agent analysis, screen information and WebGL API

The full results are available for download along with the analysis of the differences between each device and browser.