This blog post is a resource for practitioners of Adobe Customer Journey Analytics (CJA) who want to gain a deeper understanding of the main navigation elements and access patterns. It offers a summary and breakdown of the different menu areas and functionalities within the CJA main interface as of ...

Discover the power of Adobe Customer Journey Analytics (CJA) lookup datasets in this comprehensive blog post. Learn about the different types of lookup datasets and how they enrich your data analysis in CJA. Explore the benefits of profile lookup datasets, custom record lookup datasets, and standard...

Integrating Adobe Analytics Classifications with Customer Journey Analytics (CJA) offers two options to seamlessly transfer classification data. The first option utilizes the Adobe Analytics Classifications Data source connection to automate migration, saving time and effort. The second option invol...

Analysis Workspace is a powerful and versatile tool that allows organizations to comprehensively analyze and visually represent their data in a highly customizable and flexible environment. By using Customer Journey Analytics (CJA) Projects and Analysis Workspace, users can uncover valuable insights...

This article is a continuation of my original blog post on Customer Journey Analytics (CJA) pitfalls and how to avoid them. If you haven't already, I recommend reading Part I to gain a comprehensive understanding of the challenges and solutions discussed in this series.

This blog post aims to identify potential issues to consider when using CJA and provide practical tips and strategies to avoid them. By understanding these pitfalls and following best practices, you can ensure that the insights derived from CJA are accurate, reliable, and valuable to your business.

In this blog post, updated as of September 2023, I will guide you on a comprehensive learning journey to introduce you to Customer Journey Analytics (CJA). My goal is to familiarize you with the platform's features and capabilities and provide valuable insights and knowledge to help you fully utiliz...

This post serves as a high-level guide to ingesting data into Customer Journey Analytics (CJA) using Adobe Experience Platform (AEP) datasets. By connecting to CJA via Connections, AEP datasets provide a comprehensive view of customers' attributes, journeys, and behaviors. The post provides an overv...

Creating a Connection in CJA involves several steps. After completing the Connection process, you can perform analysis and gain insights using the CJA workspace built on top of the AEP. CJA helps you make informed decisions by providing data that helps you understand your customers and their journey...

To fully leverage CJA, it is important to ensure that the data model on AEP is robust and that the data used is at the appropriate level of granularity. This means that data brought into CJA should be structured suitably for the intended analysis. To achieve this, it is essential to establish a stro...