This blog post provides a detailed framework for decision-making when it comes to using derived fields in CJA. It covers key concepts to consider when manipulating data and creating custom derivative fields.

Unleashing the true potential of Customer Journey Analytics (CJA) requires an understanding of derived fields functionality. In this blog post, we explore some of the most compelling use cases of derived fields in CJA. Read on to learn how to tap into the transformative power of derived fields.

This blog post explores the fundamental role of user-defined filters in Customer Journey Analytics (CJA). By utilizing filters, you can effectively sift through vast amounts of data to identify relevant information and eliminate noise. Additionally, this post delves into the benefits of layering seq...

@Jennifer_Dungan is correct - this is a scenario of the Orders metrics having different contexts when applied at different dimension levels (Top Line vs. Product line item level). Conceptually in the case of orders where the metrics are dually applied at a per-product line item level AND against cor...

This blog post discusses how to handle "No Value" entries in CJA. It covers available methods for administrators to mitigate them in the Data View component settings and at the user level in workspace projects.

Since 'Device Type (v53)' is a Custom Conversion variable the Unspecified breakdown line means no v53 value was set or persisting at the time when applied against Direct Marketing Channel in this time period. It looks like your coverage for dimension 'Device Type (v53)' which is custom set for your ...

Skillful configuration of the data view component and global filter settings is critical for building effective Data Views that enable insights into customers' journeys. In this guide, we will review Customer Journey Analytics (CJA) data views component and global filter settings.

Understanding Data Views is pivotal to getting the most out of your Adobe Experience Platform analytics data. In this guide, we will discuss the basics of Customer Journey Analytics (CJA) data views setup and how they can benefit your company.

Assuming there are no issues with URL campaign identifiers not being in place or getting stripped out, the difference in email tracking between Eloqua and Adobe Analytics is due to their different methodologies for measuring the email "click". Eloqua measures the initial clickthrough of the link, wh...