• About Us
  • Blog
  • Basket
  • Account
  • Sign In
  •  

Blog

Comparing 51Degrees to Google Analytics

Published on Wednesday, March 14, 2018

Comparing 51Degrees to Google Analytics

51Degrees share the device data differences

51Degrees are often asked how our data compares to other Device Intelligence providers. In this blog we highlight the key differences between the data you can retrieve from Google analytics and the granular device data we can provide.

Google Analytics vs 51Degrees

Although Google analytics will provide helpful information and detail on the Device Type, Model OS, Browser and screen size, companies who need a more granular view of device specifications and capabilities will need a solution that provides a richer set of insights.

For example, device hardware vendors require access to additional properties such as age and price of device to enable them to run strategic upgrade campaigns to newer models.

The benefits of device detection for other sectors such as Adtech, Publishers, Brands and Content Management Platforms are available here.

Data Table
Sample properties available in Google analytics v's 51Degrees

51Degrees offers 99.9% accuracy and no ‘default’ assumptions on unidentifiable devices, eliminating false positives. You can read more about data accuracy testing published last year. This blog compares our data to the data provided as default by google analytics and highlights some discrepancies that could be found.

Try 51Degrees today to add detailed device information to your website

Get Started

Comments (0)

Author: Paula

Categories: Device Data

Tags: Analytics , 51Degrees

Paula
>

Paula

Other posts by Paula
Contact author

Name:
Email:
Subject:
Message:
x

Tags

.NET 4G 51Degrees 5G Acer Adform Adtech Advertising Afilias Alcatel Amazon AMP Analysis Analytics Android Apache API Apple Asian Market ASP.NET Asus Blackberry Browser C C# Centro Chrome Cloud CMS CPU CSS3 Data Data Blog Data File Daydream Design Detection Developers Device Device Data Device Detection Device Intelligence Device Models Device property DeviceAtlas Disney dmexco DotNetNuke Download ebay Ericsson Event Facebook Firefox Foundation Framework Galaxy git repositories Google Google Analytics Google Daydream GPU GSMA Guess HAProxy Hash Trie HTC HTML5 HTTP HTTP Headers Huawei Infinix Ingeniux Internet usage iOS iOS 13 ipad iPadOS iPhone iPhone 11 Java Javascript Kentico LG Liferay LTE m.dot Memory Memory leak Meta Data Microsoft Mobile Mobile Analysis Mobile Analytics Mobile Devices Mobile Marketing Mixer Motorola Mozilla MWC MWC 2017 MWC16 Native Apps NET New Release News Nexus NFC NGINX Nokia OnePlus 5 Opera Operating System Oppo Optimisation OS Patent Performance PHP Press Release Price Band programmatic Publishers Python Redirection Research Responsive Images Responsive web design RESS Review RTB RWD Safari Samsung Scala ScientiaMobile SEO Server Server-side optimisation Seznam.cz Sitecore Smart TV Smartphone Smartwatches Sony Swedish Beers Tablet Tencent Testing Tips Tutorial Umbraco Update User Agent User-Agent Valgrind Varnish Varnish Cache Video Vodafone VoLTE Web Web Apps Web content management Webtrekk White Paper Widgets WiFi Windows WURFL Xiaomi Xperia ZTE