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At A Glance: Google Analytics API

A developed set of protocols, code, and routines designed to assist the implementation and design of software or applications is commonly known as an application program interface. APIs are available for a tremendous number of purposes and are commonly used to streamline the creation or integration of applications. One such application is Google Analytics, the world’s leading website analytics software. With Google Analytics, you can track web traffic and use insights gained from that data to generate sales leads, guide web design practices, and much more. Google Analytics APIs are available to developers and programmers to help you track traffic for your websites, mobile platforms, and any Internet-connected devices.

Google Analytics API developers and programmers possess expertise in computer programming as well as experience and knowledge in web traffic analytics. Developers are capable of using Google Analytics APIs to completely integrate Google Analytics into your system and polish its valuable reporting capabilities and dashboards, whereas programmers can help you design the core functions and aspects of Google Analytics that you want to utilize. Through the use of APIs, these developers and programmers are capable of producing powerful and simple results quickly. Google Analytics API developers and programmers provide you with access to detailed web traffic data so you and your website can begin making data-driven decisions. Hiring freelance Google Analytics API developers or programmers is a cost-effective and flexible way to add functionality and resources to any website.

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3 Reasons You Should Upgrade to Universal Analytics

Google Analytics is the most popular analytics service on the web, allowing website owners and marketers to monitor how users are interacting with their content from an easy-to-use dashboard. However, many websites are still using the legacy Google Analytics framework. In this article, we’ll look at the differences between these two libraries and explain why you should strongly consider upgrading to analytics.js.

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July 21, 2016

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