Tag: Implementation

Understanding and getting the most out of Activity Map in Adobe Analytics

Adobe Analytics offers a metric ton of useful features which make website tracking super easy. Next to builtin dimensions like Referrer Type or Entry and Exit Page, there are many clever metrics like Entries and Exits for any given dimension. Today, I want to show you one of my favorite features and explain why I love it so much: Activity Map! Activity Map, also known as Click Map, helps Adobe Analytics users understand where website visitors, you guessed it, click on a given page. It comes with a bunch of dedicated dimensions, its very own user interface, and even is super easy to implement through Adobe Launch. In this post I’m going to cover some basics of Activity Map, explain why you should use the dedicated interface more often, and how you can customize it for your very own use cases. And once you’re done reading this post, watch Jenn […]

Web Analytics with Adobe’s Customer Journey Analytics, Part 4: Capturing Data with Web SDK (Alloy)

This post is the fourth post of the eight-part-series Web Analytics with Adobe’s Customer Journey Analytics, showing how web sites can be analyzed better using Adobe’s next evolution of Adobe Analytics. In the previous post, we took a look at our business questions and how we can structure our data most effectively. In this post, we are doing the actual implementation using Adobe Launch, the Adobe Web SDK, and Client Data Layer. On our way to creating a full-scope, front-to-back implementation of Customer Journey Analytics to track a web site, we are now ready to think about our actual implementation. Since we have the data structure in place and already have an awesome Experience Event Schema, we just need some actual data. The logical choice to feed data to the Adobe stack is, of course, by utilizing their client-side tools as well. Specifically, we are going to use Adobe Launch […]

How I build my Adobe Analytics Implementations

Getting the most out of enterprise analytics systems is not easy. A lot can go wrong on the way from gathering business requirements to getting actionable insights. While most of my posts are focused on the analysis or reporting capabilities of Adobe Analytics, this post is focused on how I plan and build my implementations. With an analytics system like Adobe Analytics, even small implementation choices can have large consequences later down the value chain. Errors and misjudgments can lead to skewed data that is affected in a non-obvious way. The implications range from more effort during analysis or higher maintenance to wrong conclusions and business decisions. This post will walk you trough the number of steps I take when planing a new Adobe Analytics implementation. While I’ve been successful in delivering value by following those, there might be situations where a different approach is better suited to the task […]