Customer Journey Analytics feature support

The following tables list which features in Adobe Analytics are supported, partially supported or not supported in Customer Journey Analytics, and which features of Customer Journey Analytics are not supported or available in Adobe Analytics. These lists will change over time as features are added to Customer Journey Analytics.

Fully supported features/components full-support

Adobe Analytics Feature
Notes on support
Anomaly detection
Full support
Attribution IQ
Full support
Bot detection
Full support
Calculated metrics
Full support. Any existing calculated metric in the traditional Analysis Workspace is not ported to Customer Journey Analytics.
Calendar events
Full support. Calendar events have been implemented as Annotations in Workspace.
CSV download
Full support
Custom calendars
Full support
Date comparisons
Full support
Date ranges
All date range functionality is supported.
Full support. Customer Journey Analytics uses XDM and supports unlimited dimensions. Customer Journey Analytics is not tied to the custom eVars or props of traditional Adobe Analytics.
GDPR deletion
Full support; note that GDPR is now handled in coordination with Adobe Experience Platform. Customer Journey Analytics inherits whatever data changes Experience Platform makes to underlying datasets.
Lift and confidence reporting
Full support via Experimentation panel
List variables/List props
Full support. Customer Journey Analytics uses XDM and supports unlimited string arrays which can be used similarly to listVars.
Merchandising eVars
Full support via binding dimensions and binding metrics
Full support; Customer Journey Analytics uses the Experience Data Model (XDM) and supports unlimited metrics and is not tied to the custom success events of Adobe Analytics. Some standard metrics have been renamed from Adobe Analytics: Visitors = People, Visits = Sessions, Hits = Events.
Migrating projects, filters, and calculated metrics from Adobe Analytics to Customer Journey Analytics
Full support.
Mobile scorecard/Dashboards
Full support
Full support for the following panels: Blank panel, Attribution, Freeform, Quick insights, and Next or previous item.
PDF export
Full Support
Project curation
Full Support
Project linking
Full Support
Report time processing
Full Support; Customer Journey Analytics relies exclusively on Report Time Processing.
Reporting API access
Full Support; Available through the Customer Journey Analytics API.
Scheduled reports/projects
Full Support
Full Support. Now called “Filters” - note that any existing segments in traditional Analysis Workspace are not ported to Customer Journey Analytics.
Virtual report suites
Full Support. Now called Data views.
Virtual report suite component curation
Full Support. Now part of Data views.
Device, Browser, Referrer, Technology dimensions
Supported for both Analytics source connector-based datasets and for datasets generated by the WebSDK. Refer to documentation on which Analytics variables are supported via ADC.If you use Experience Platform Web SDK data collection, Device and dimensions based on the Device lookup are not currently supported. Future support is planned. For adding device and browser lookups to your Web SDK datastream, refer to this documentation
The Streaming Media Collection Add-on
Streaming media data are available using the Analytics source connector as part of the Media Concurrent Viewers panel and the Media Playback Time Spent panel in Workspace.

Supported in a new way new-support

Analytics for Target (A4T)
The integration between Adobe Customer Journey Analytics and Target provides powerful analysis and timesaving tools for your optimization program.
Audience publishing
Supported if licensed with Adobe’s Customer Data Platform or Journey Optimizer products. Audience Publishing sends audiences to Real-time Customer Profile in Experience Platform.
Now called “Lookup Datasets”. Classifications used in Analytics can be imported to the Experience Platform and Customer Journey Analytics using the Analytics Classifications Source Connector. Lookup datasets can also be uploaded to Experience Platform directly and made available in Customer Journey Analytics.
Classification rule builder
Supported using substrings in Customer Journey Analytics. Uses string manipulations at report time rather than lookup datasets.
Custom session length
Session length can be configured through Session settings in a Data view. See Session settings for more information.
Handling of mobile background events is supported through the Adobe Experience Platform Mobile SDK. See Lifecycle for Edge Network for more information.
Currency conversion
Supported as part of formatting a metric component in a data view.
Customer attributes
Now called “Profile Datasets”, they do not get automatically imported from Experience Cloud, but must be uploaded to Experience Platform before they are available in Customer Journey Analytics.
Data feeds
First-generation data export of datasets is available through the Experience Platform Data Access API and through Experience Platform Destinations. These options provide event/row level export of all data collected or ingested into Experience Platform Data Lake. Post process data columns are not available because post columns are computed at query time. Export of post columns is available through reporting.
Data Warehouse reporting
Customer Journey Analytics Full Table Export is the evolution of Data Warehouse reports in Adobe Analytics, with many new, often-requested features that are not available in Data Warehouse today.
Entries, Exits, and Time spent dimensions and metrics
Supported (Entries and Exits are now called Session Starts and Session Ends) and are calculated in a slightly different way.
eVar persistence settings
eVars are no longer part of Customer Journey Analytics. However, persistence settings are now part of Data Views and are available for all dimensions. Keep in mind that persistence is based on report time processing, not data collection processing. Dimensions set within Data Views are limited to a 90-day max persistence and do not support unlimited persistence.
Geosegmentation dimensions
Full support
Graph-based stitching
Through Graph-based Stitching, you can harness the power of the identity graph in Adobe Experience Platform Identity Service to elevate datasets to their preferred identity.
IP obfuscation

For Customer Journey Analytics customers using the Analytics source connector to populate data from Adobe Analytics into Customer Journey Analytics: IP obfuscation settings applied in Adobe Analytics flow through to your Customer Journey Analytics data. You can control these settings in Adobe Analytics as needed.

For Customer Journey Analytics customers using Experience Platform Web SDK to populate data into Platform and Customer Journey Analytics directly. You can use Data Prep for Data Collection in Platform to configure rules that obfuscates the IP address based on your company’s requirements.

Marketing channels
When using the Analytics source connector, Marketing Channels data flows into Customer Journey Analytics through that connector. Marketing Channel rules are configured in traditional Adobe Analytics and some rules are not supported. See Customer Journey Analytics Marketing Channels for more information.
For WebSDK implementations, report-time marketing channel processing rules are supported through Derived fields.
Merchandising variable persistence
Full Support via binding dimensions and binding metrics
Metric deduplication
Now configured on metrics within Data Views. Metric deduplication happens at the person or session level rather than the Dataset, Data view, or Connection level.
New vs. repeat session reporting
Formerly accomplished using the Visit Number dimension. New vs. Repeat sessions are supported with a 13-month lookback window.
Processing rules, VISTA rules, Marketing channel processing rules
Supported using Adobe Experience Platform Data Prep functionality as well as derived fields for both WebSDK based datasets and data from the Analytics source connector.
Products variable
Within the Experience Platform, users can use an array of objects within a dataset schema to satisfy this use case. Within Customer Journey Analytics, customers can use any number of product variables and are not restricted to a single variable as in Adobe Analytics.
Project sharing
Project sharing is only supported between users of Customer Journey Analytics - there is not project sharing between Customer Journey Analytics and the traditional Analysis Workspace.
Report Builder
Supported with a new Office 365 plugin for Excel.
User permissions/Data access controls
Customer Journey Analytics distinguishes between Adobe Admin Console product admins, product profile admins, and users. Only product admins can Create/update/delete Connections, Projects, Filters, or Calculated Metrics that were created by other users, while product admins and product profile admins can edit Data views. Additional user permissions are available for things like creating calculated metrics, filters, or annotations.
All Workspace visualizations are supported except for the Map visualization.
Cross-device/cross-channel stitching
Supported for datasets containing identity information directly (also known as “field-based” stitching). Graph-based stitching is not yet supported, but is planned. See Stitching.

Partial Support partial

Blank Panel, Attribution Panel, Freeform Panel, and Quick Insights are fully supported. The Segment Comparison and Analytics for Target (A4T) panels are not supported.

No support, but planned planned

Support is planned.
Contribution analysis
Support is planned.
ID stitching using device graph
Support is planned.
Project templates
Support is planned.
Real-time reporting
Support is planned.
Segment IQ
Support is planned.
Transaction ID data sources
Support is planned.
Summary-level data sources
Support is planned.

No support, not yet planned not-planned

Activity Map
Support is not yet planned.
Advertising Cloud
Support is not yet planned.

Will never be supported never

  • People metric using Cross-Device Coop

Adobe Customer Journey Analytics features not available in Adobe Analytics cja-not-aa

The following table lists features that are available in Customer Journey Analytics, but are not supported in Adobe Analytics.

More Details
Ability to combine datasets (such as Adobe Analytics report suites)
Customer Journey Analytics allows you to combine data from multiple report suites as if they were a single report suite in Adobe Analytics.
Accommodation for any kind of data
Customer Journey Analytics is combined with Experience Platform’s ability to hold all kinds of data schemas and types. Using Experience Data Model (XDM), data can be uniformly represented and organized, ready for combination and exploration. Adobe Analytics is predominantly focused on web and mobile analytics data with some capabilities to import data.
Cross-Device Analytics
Customer Journey Analytics supports the seamless combination of device-specific datasets from unauthenticated and authenticated sessions. Customer Journey Analytics offers to backfill historical data to known devices. In Adobe Analytics, this capability is limited to a single report suite and the use of a device graph.
Dimension enhancements

Customer Journey Analytics provides greater flexibility when using dimensions:

In Adobe Analytics, only a handful of built-in numeric dimensions were available, and sorting by string-based dimensions was not possible.

Derived Fields
Derived fields allow for report-time transformations to your data. Data can be combined, corrected, or created on the fly and applies retroactively to all reporting.
Enhanced security and privacy options - HIPAA readiness
Customer Journey Analytics is HIPAA ready and offers additional security options for regulation compliance. Adobe Analytics is not HIPAA ready.
Experimentation analysis
Customer Journey Analytics can evaluate the lift and confidence of any experiment from any data source defined as part of a connection. This evaluation allows you to understand cause-and-effect relationships between customer interactions spanning any channel. Analytics is limited to experimentation analysis through A4T.
Forecasting is an AI/ML capability that includes a statistical prediction for time-series-related data based on the historical data that already exists in Customer Journey Analytics. Forecasts can appear in freeform tables and line graph visualizations.
Guided analysis
Guided analysis is a reporting format that allows users to quickly self-serve their data needs so that they can get high-quality insights quickly and make more data-driven decisions. Guided analysis is part of Adobe Product Analytics, an add-on to Customer Journey Analytics.
Intelligent Captions
Intelligent captions use advanced Machine Learning and Generative AI to provide valuable natural-language insights for Workspace visualizations. The initial release provides auto-generated insights for the Line visualization.
Report-time transformations
Data views in Customer Journey Analytics allow you to further interpret data from a connection. You can alter or remove data without changing your implementation, use substrings to manipulate dimensions, create metrics from any value, or filter subevents. All of these transformations are done non-destructively. Adobe Analytics provides limited capabilities through virtual report suites and custom session length.
BI Extension
The BI Extension lets you connect CJA directly to popular BI visualization tools such as PowerBI or Tableau. By using this extension, you can have your BI reports precisely match what you see in Analysis Workspace and other CJA reporting interfaces. This is a much easier way to get BI reporting for CJA without the need to recreate reports/metrics from raw data.
SQL access
Using the Data Distiller option, Customer Journey Analytics can remove the limitations of data collected on Adobe’s backend processing. You can modify your data with SQL, create values and datasets unique to your business and continue to explore. Analytics does not support any kind of SQL access to its data.
Identity stitching (or simply, stitching) is a powerful feature that elevates an event dataset’s suitability for cross-channel analysis. Cross-channel analysis is a main use case that Customer Journey Analytics can handle, allowing you to seamlessly combine and run reports on multiple datasets from different channels, based on a common identifier (person ID).
Unlimited customer dimensions and metrics

Customer Journey Analytics dimensions are unlimited; values can be numeric, text, objects, lists, or mixtures of all. Dimensions can be nested or hierarchical.

By contrast, Adobe Analytics supports up to a maximum of 75 props and 250 eVars.

Unlimited unique values

Customer Journey Analytics supports unlimited unique values or dimension items that can be reported on within a single dimension.

There are no cardinality limits on a dimension, allowing for any unique value to appear and be counted.

This approach removes reporting and analysis limitations that can exist with large-scale Adobe Analytics implementations, resulting in Low Traffic labels.

In Customer Journey Analytics, it is possible to see a Uniques Exceeded label, but these occur far less frequently and can be mitigated by applying a filter or segment to the data.