Adobe Analytics is the industry leading digital analytics solution for reporting and insights of your company's customer experience. This course teaches you the basics of designing, configuring, and coding a robust implementation of Adobe Analytics.
Adobe Analytics is a window into what your customers do, want, need and believe! It's a tool to guide the experiences that matter. In this course, Adobe Analytics Implementation Fundamentals, you will be empowered with the industry best-practices when it comes to designing and coding a robust implementation of Adobe Analytics. First, you will get an overview of the necessary implementation tools. Next, you will be shown how to configure your global analytics setting. Finally, you will learn to code customized variables to enable profound insights of your customers using Adobe Analytics. By the end this course, you will have a solid foundation to get started implementing Adobe Analytics from scratch. Software required: Adobe Analytics.
Adobe Digital Learning Services helps customers transform their digital experiences through skill and enablement programs.
Master your marketing across channels and devices to deliver the perfect experience every single time. Learn how to bring data, creativity and content together to create powerful experiences for your customers.
Jaekob Chenina is a Product Manager of Machine Learning and Artificial Intelligence at Adobe Analytics. Before joining Adobe, Jaekob founded dollowers.com, a predictive analytics startup that helped marketers better understand the impact of their marketing efforts on social media.
Section Introduction Transcripts
Section Introduction Transcripts
Course Overview Hi everyone. My name is Jaekob Chenina, and welcome to my course, Adobe Analytics Implementation Fundamentals. I'm a product manager for artificial intelligence at Adobe Analytics. Before joining Adobe, I worked as an analytics engineer, and as a data scientist. Everything data is my passion, but Adobe Analytics is more than data. It's a window into what your customers do, want, need, and believe. It's a tool to guide the experiences that matter. This course is a quick introduction to implementing Adobe Analytics, and no prior Adobe Analytics experience is required. Some of the major topics that we will cover include solution design, global implementation configuration, coding custom variables, best practices, and common mistakes to watch out for. By the end of this course, you'll have a solid foundation to get started, implementing Adobe Analytics from scratch. I hope you'll join me on this journey to learn how to implement Adobe Analytics with the Adobe Analytics Implementation Fundamentals course here at Pluralsight.
Predefined Traffic Variables Let's jump into Predefined Traffic Variables. In this module, we're going to understand the purpose of the predefined traffic variables, we'll understand the coding best practices, and we'll learn about the variable limitations. There are four primary predefined traffic variables. We're going to talk about four predefined traffic variables: s. channel, this helps you analyze content categories; s. server, this will help you see the usage in a more broader context; hierarchy variables, help us track usage based on the hierarchy established on your website; and s. page type help you track broken links. We're going to talk about each of these in detail.