Adobe Customer Journey Analytics: Most-used fields

Adobe Customer Journey Analytics: Most-used fields#

The table below gives information about most-used fields that you can import from Adobe Customer Journey Analytics. Other fields might also be available in Adverity.

The fields that you can fetch in Adverity are updated regularly to reflect updates to data source APIs.

FieldAdverity UI nameType
Dataview Dimension

A Dataview in Adobe Customer Journey Analytics defines a specific configuration of data for reporting and analysis, similar to a report suite. It determines which dimensions and metrics are available and how session settings, attribution, and other data processing rules are applied to the underlying data.

Day Dimension

This dimension categorizes events by the specific calendar day on which they occurred, providing a daily breakdown for analysis.

Events Metric

Represents a countable user action or occurrence within a customer journey. This can be any tracked activity, such as a page view, click, or custom interaction.

Marketing Channel Dimension

Identifies the high-level marketing channel through which a customer interaction occurred, such as Paid Search, Social Networks, Email, or Display. This dimension is central to understanding the source of customer journeys and attributing performance across different marketing efforts.

Marketing Channel Detail Dimension

This dimension provides specific information about the marketing channel used in a customer's journey, such as the exact campaign, ad group, or source.

Order Metric

This metric represents the total count of customer orders.

Order Product Revenue Metric

The total revenue generated from products within an order, excluding shipping and tax charges.

Order Shipping Revenue Metric

The revenue generated specifically from shipping costs associated with an order.

Order Tax Revenue Metric

The revenue collected as tax on an order.

Orders Metric

Represents the total number of individual transactions or purchases made over a specified period or within a particular segment.

People Metric

This metric represents the count of distinct individuals (Person IDs) interacting with your brand, deduplicated across various touchpoints and channels. The definition of a 'Person ID' is configured during the data connection setup.

Platform Dimension

This dimension identifies the platform or device used by the customer during their journey, such as mobile, web, iOS, or Android.

Platform Dataset ID Dimension

This dimension serves as a unique identifier for a specific dataset within the Adobe Experience Platform, indicating which dataset an event or record originated from.

Quantity Metric

The total number of items purchased in an order or within a specific product interaction.

Revenue Metric

Indicates the total monetary income generated from sales of goods or services. It is a key performance indicator for financial analysis.

Revenue (Order Total) Metric

The total monetary value of an entire customer order, including product revenue, shipping, and taxes.

Sessions Metric

This metric represents a group of user interactions within a defined timeframe. In Customer Journey Analytics, the definition of a session (when it starts and ends) is flexible and can be customized within a dataview to align with specific business needs.

Sessions (visits) Metric

This metric counts the number of individual user sessions or visits, as defined by the session settings configured within a data view in Customer Journey Analytics.

Units (Raw) Metric

Represents the raw count of individual items or events that occurred, before any specific aggregation or attribution models are applied. It is a fundamental metric used for quantifying occurrences within customer journeys.

Visits Metric

The number of individual sessions or visits to a digital property, as defined in the data view's session settings.

commerce.purchases.value Metric

A metric that quantifies the monetary value associated with purchase events. This field helps analyze the financial impact of customer journeys and commerce activities, with its structure indicating its schema path.