Tag: Tips & Tricks

Execute a rule only once in Adobe Launch

When you are managing an implementation of Adobe tools like Analytics, chances are you are using Adobe Experience Platform Data Collection, formerly known as Adobe Launch, Adobe Dynamic Tag Management, or the Adobe Tag Manager (and no, this is not a SEO text, it’s the actual list of names. I will still call it Launch for the near future) to implement other tags as well. While Launch is great for making implementation of Adobe’s own tools very fast and easy, managing other tools is not always so straight forward. A common requirement for those 3rd Party tags is to fire a certain tag or pixel only once. What once really means (once per session, user, day, year?) might differ from tag to tag, so as a result it can be surprisingly difficult to fulfill those requirements reliably and consistently. On top of those varying definitions of once, Adobe Launch has […]

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 Depending on which pages you found when researching, you might end up with an outdated solution or contradicting approaches by different authors […]

(Time-)Normalize Performance over time in Adobe Analytics’s Analysis Workspace

In Digital Analytics, one of the most common requests from business stakeholders is to compare the performance of two or more items on our websites, like marketing campaigns or content pages. While it is immediately obvious why this comparison is important to the business, it quite often leads to graphs like this, where the analyst tries to visualize performance over time: This solution is technically correct but makes it hard to really compare how both pages perform in direct comparison with each other. They went public on different dates and while Page A is rather stable in regards to traffic, Page B got a boost at around the middle of its time online. So, how do we make this simpler? When enjoying my free time between jobs, I caught up on some older videos from the Superweek Analytics Summit’s Youtube Channel. In 2019, Tim Wilson demonstrated how to align dates […]

Cool Approximate Count Distinct Use Cases – Adobe Analytics Tips

One of the things that really sets Adobe Analytics apart from other solutions is the ability to create sophisticated Calculated Metrics and Segments on the fly. You don’t need to be a highly trained Analyst or Data Scientist to create your very own set of Measures and Dimensions unique to your business question. The best thing for me personally is that we can create those metrics from the same interface where we do our day-to-day analysis and reporting. It doesn’t matter if we want to quickly create an average or build advanced time series analysis dashboards, it’s all right there at our fingertips. Today I want to tell you about one of my personal-favorite functions called Approximate Count Distinct. This functionality allows us to count how many different values from a dimension we tracked and use that number in both Calculated Metrics and Segments (making this function the closest we […]