Month: January 2021

Using Flow and Fallout Visualizations like a Rockstar in Adobe Analytics

It’s no secret: I love Analysis Workspace. In fact, I think it is the main advantage Adobe Analytics has over Google Analytics. That is because Workspace allows for seamless collaboration between analysts, marketeers, product owners, and other business stakeholders. With enough enablement, there is no difference in which tools different groups of analytics users would use: It’s always the best one! Workspace is the perfect combination of sophisticated functionality and an appealing user interface. But because of this user-friendly interface, not every advanced function or use case is immediately apparent to every user. This can lead to funny situations, where experienced analysts never really use certain parts of Workspace that could save them a lot of work. In today’s post we will take a close look at two of the most undervalued features: The Flow and Fallout visualizations. While they seem quite similar in functionality and trivial to understand on […]

Bringing clarity to Adobe Launch using Call Traces

The Adobe Experience Cloud (AEC) comes with its very own Tag Management System (TMS). With Adobe Launch, by Adobe, implementing a basic set of AEC tools like Analytics or Target is quick and easy. That ease of implementation regarding Adobe’s own tools comes with the possible downside of having to put in more work for non-Adobe tools. Depending on how important those Adobe tools are to you, Launch might be your first choice as TMS regardless. Unfortunately, Launch is not ideal when it comes to more complex setups. For example, having a chain of actions that needs to be executed in a specific order can require some manual workarounds, like putting steps into separate rules. The same is true for guaranteed conditional execution within rules, which requires either custom code actions or branching rules into multiple others. I have seen setups with literally hundreds of rules because of those restrictions. […]

Announcing the open collection of Adobe Analytics best practices

Imagine a situation like this: You are facing a new challenge when using or implementing Adobe Analytics. What do you do? If you are like me, you first check out the documentation to make sure you’ve understood the available features correctly. Then, you start researching blog posts and articles around your topic to see if and how anyone has solved this before. If you are still unsure, you might ask some people on Twitter, LinkedIn, or the Measure Chat. As a last resort, you might even reach out to Client Care and ask for help. It’s easy to see why this approach is not ideal. First, it’s not easy to know if the way you approach a task is still the best way or if new solutions exist. Depending on which pages you found when researching, you might end up with an outdated solution or contradicting approaches by different authors […]