Category: Adobe Customer Journey Analytics

Should you buy Adobe Analytics or Customer Journey Analytics for Web Analytics use cases today?

The market for web analytics tools is going through some big changes right now. On one hand, Google has officially announced to sunset Universal Analytics (also known as “the ‘good’ Google Analytics”) next year in favor of the universally hated GA 4. On the other hand, Adobe is heavily promoting their new tool Customer Journey Analytics, both to new and existing Adobe customers. There is no doubt that, at some unannounced point in the future, Customer Journey Analytics will become Adobe’s only analytics tool. However, there is one important detail about Customer Journey Analytics that we need to keep in mind: It is not a dedicated web analytics tool like good old Adobe Analytics. Customer Journey Analytics is built to handle data from all sources you can think of, not just websites and apps. Because of that, Adobe Analytics still has some unique features, like the Visitor Profile, that are […]

Cookie-less Server Side Tracking with Adobe Customer Journey Analytics

If there is one big hot topic in digital analytics right now (besides the unfortunate sunset of Google Analytics 3 and GDPR news) it quite possibly is the recent trend of what many call server side tracking. Currently, server side tracking is an obligatory agenda item at every analytics conference and virtually every vendor of analytics or tag management systems is working on a way to serve the rising demand. However, while there is a lot of talk around the topic, there is no shared definition in our industry of what server side tracking actually is. Jim Gordon has assembled a nice overview of what people might mean when they talk about any of the underlying concepts. In my personal experience, people usually refer to a form of server side tag management, often using Google’s server side tag manager, that still uses some logic in the client’s browser. Adobe has […]

Web Analytics with Adobe’s Customer Journey Analytics, Part 8: A new home

This post is the eight and last 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 were creating the connection from Experience Platform to Customer Journey Analytics. In this post, we are going to take a look at our web analytics data and explore some use cases. Believe it or not, but this series of posts is almost finished! Starting with nothing, we have created a sophisticated schema for our data in Experience Platform, created a tracking implementation using the new Web SDK, enriched our data in Query Service, and pulled all that data into Customer Journey Analytics. If you have been following since the start of the series, I want to say: Thank you, hope you enjoyed the ride! Now it is time for the finale, where […]

Web Analytics with Adobe’s Customer Journey Analytics, Part 7: Customer Journey Analytics Backend Configuration

This post is the seventh 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 were enriching our basic web analytics data with some advanced fields in Query Service. In this post, we are creating the connection from Customer Journey Analytics to Experience Platform. At this point in this series, we have a world-class dataset of web analytics data in Experience Platform, ready to be analyzed. I’m personally very proud of the things we were able to achieve in Query Service, especially with the pathing dimensions. With all of that, we have even more than what normal Adobe Analytics would give us! With all the data enriched, we now have only one step left before we can start analyzing our digital user’s behavior. First, we need to pull data […]

Web Analytics with Adobe’s Customer Journey Analytics, Part 6: Advanced Data Processing in Query Service

This post is the sixth 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 processing some basic data we need for our web analytics use case utilizing Query Service in Experience Platform. In this post, we are creating some advanced fields to our data in Query Service. I think it’s fair to say that even with just the information from the previous part, we could have a very useful web analytics tool already. But if you know me, you know that I like to take things to the next level wherever I can, especially if it involves writing code. And is SQL not some sort of code too? Entry and exit page were a nice start last time, but we have some fields still […]

Web Analytics with Adobe’s Customer Journey Analytics, Part 5: Basic Data Processing in Query Service

This post is the fifth 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 doing the implementation using Adobe Launch, the Adobe Web SDK, and Client Data Layer. In this post, we are going to processing some basic data we need for our web analytics use case utilizing Query Service in Experience Platform. This series of posts is coming along quite nicely. If you followed all the previous posts until now, you will now have a functioning Web SDK implementation that tracks your data into Experience Platform following the Experience Data Schema we have tailor-made for our use case. Nice! Now we are ready to feed our data into Customer Journey Analytics, right? Well, we could. If we are just interested in the plain […]

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 […]

Web Analytics with Adobe’s Customer Journey Analytics, Part 3: Data Structure in Experience Platform

This post is the third 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 the different possible solution architectures we can use to bring data into Customer Journey Analytics and decided on the best one. In this post, we will take a look at our actual business questions and how we can structure our data most effectively. From the last post we already know that we want to track data using only the new Adobe Web SDK going forward. To make that work, we need to create a schema in Experience Platform first, which defines the structure of the data that we want to capture. While some people (sometimes me included) see schema management as one of the more tedious tasks in Platform, I […]

Web Analytics with Adobe’s Customer Journey Analytics, Part 2: System Architecture in Experience Platform

This post is the second 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 discussed the motivation and scope of this project and why, eventually, existing Adobe Analytics customers will start moving to Adobe’s Customer Journey Analytics. In this post, we will take a look at the different possible solution designs we can use to bring data into Customer Journey Analytics and decide on the best one. Adobe’s Customer Journey Analytics is built on Adobe’s brand new Experience Platform. With that, it is very flexible in terms of how data can be brought into the tool. Depending on the setup it may seem very easy to bring data in quickly. However, all that flexibility also means we have many ways to deviate from the ideal path, so we […]

Web Analytics with Adobe’s Customer Journey Analytics, Part 1: Goodbye Adobe Analytics, my Old Friend

This post is the first 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 this part, we discuss the motivation and scope of this project and why, eventually, existing Adobe Analytics and new customers will start moving to Adobe’s Customer Journey Analytics. If you found this article, chances are high you work in or adjacent to the field of digital analytics or web analytics. It doesn’t really matter if you are an existing Adobe Analytics user, on the Google stack, or just looking for your very first web analytics tool. If you have been following the trends and discussions in our industry in the recent time, you will likely already have caught on the massive changes that both our industry and Adobe’s products go through. With changes to privacy requirements and cookie […]

Calculated Metrics in Segments are finally here… Sort of, in Adobe’s Customer Journey Analytics

If you have been following this blog for a while (thank you!), it shouldn’t surprise you if I claim: Adobe Analytics is the best web analytics solution available today. But if we’re honest, it has been around for a long time, which has been leading to a situation very familiar to anyone working in the tech industry: The things that we build today might limit us in the future when new technology becomes available. This is also true for Adobe Analytics. When Adobe Analytics was created, it was necessary to build features like the Visitor Profile or Props in a certain way with what was available at that time. Back then, it was necessary to store Visitor Profile information in a database and add it to the data as it was processed (something I also used in a previous series of posts). The database engine on top of that data […]

Privacy-centered Analytics with Matomo and Adobe’s Customer Journey Analytics

Legal Disclaimer: Data Privacy is a diverse and ever-changing topic. This makes it nearly impossible to give reliable recommendations to a broad audience. Please consult your company’s legal department on whether those ideas described here are feasible under your jurisdiction. If there has been one predominant topic in the web analytics space for the last couple of years, it surely is data privacy. GDPR is a thing in Europa, COPPA in the US, ITP on planet Apple, and cookie consent banners on every website. Conducting a safe data collection practice as a global business has become more and more challenging, pushing businesses to be more and more careful. Because of this landscape, a lot of businesses are looking for a “bullet-proof” way to analyze website users’s behavior. While Google Analytics is a data privacy nightmare, tools like Piwik Matomo try to justify their existence by claiming to be more privacy […]