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 […]
Tag: Web Analytics with Adobe’s Customer Journey Analytics
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 […]
Processing Adobe Analytics Data Feeds with Apache NiFi for Adobe Experience Platform
In the series of posts that is currently being released on this blog I’m showing how companies can move from Adobe Analytics to the brand new Customer Journey Analytics to utilize the many advantages of the new tool. However, I feel like the current Adobe-provided solution for bringing data from that old to the new world lacks some essential information. I did an extensive comparison in the most recent post of the series, but will give some of the reasons here again. When we use the Adobe Analytics Data Connector to bring data from an Adobe Analytics Report Suite into Experience Platform, we are dealing with some limitations: The data is based on what Adobe calls mid-values. Those sit between raw, unprocessed data, and fully processed data in the processing chain. Because of this, we don’t have access to dimensions like persisted Evars, Visit Number, and other data points we […]
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 […]