Current Customer Journey Analytics release notes (March 2026)
Last update: March 11 , 2026
These release notes cover the March 2026 release period. Adobe Customer Journey Analytics releases operate on a continuous delivery model, which allows for a more scalable, phased approach to feature deployment. Accordingly, these release notes get updated several times a month. Please check them regularly.
New or updated features
You can specify a header name and secret header value in Content Analytics. This header overrides configuration ensures that Content Analytics sends custom HTTP headers to bypass any bot detection or gate traffic technologies you have implemented.
Combine report suites from multiple IMS orgs
You can use the Analytics Source Connector to combine report suites from multiple IMS orgs. This cross-IMS data mapping feature allows organzations to have a combined view of their customer data, even when that customer data is spread across multiple IMS organizations.
Note: This configuration is available only by submitting a request to Adobe Customer Care.
Include multiple dimension columns in a freeform table
You can now include up to 5 dimension columns in a freeform table, allowing you to view multiple dimension items side by side. Each row of dimension items behaves like a single concatenated dimension item.
You can apply filters, sorting, breakdowns, and more to freeform tables with multiple dimension columns to create a deeper and more custom analysis.
Previously, you could include only 1 dimension column in a freeform table.
For more information, see Include multiple dimension columns in a freeform table.
March 4, 2026
(Originally planned for February 18, 2026)
Sort tables by multiple columns
You can now sort the data of a freeform table by multiple columns in Analysis Workspace, whether they are dimensions or metrics.
When you sort data for multiple columns, data is sorted according to the priority you assign to each column. Priority numbering is displayed next to the sort icon.
For more information, see Filter and sort freeform tables.
March 4, 2026
(Originally planned for February 18, 2026)
Thumbnails and previews are available for assets and experiences in scatter visualizations for Content Analytics.
Thumbnails and previews are available for assets and experiences in bar (stacked) and horizontal bar (stacked) visualizations for Content Analytics.
When you add or edit datasets in a person-based connection, the experience to preview data is improved. For stitching enabled datasets, additional stitching metrics and information on bad ids are available.
Report Builder: Administrator visibility to all scheduled workbooks
The Report Builder Excel Add-in includes a new filter option that allows administrators to see all scheduled workbooks for a given org, regardless of who scheduled them. This filter option is available only for Analytics administrators. It is available on both the Workbook tab and the Legacy tab when viewing scheduled workbooks.
The ability to view all scheduled workbooks is especially useful when migrating workbooks across distributed teams, because it allows administrators to easily locate all legacy workbooks prior to migrating them.
Previously, administrators could see only the workbooks they scheduled, not those scheduled by other users.
For more information, see Manage scheduled workbooks.
Update to the Approximate Count Distinct function
The HLL probabilistic algorithm used in the Approximate Count Distinct function will soon be updated. The resulting output for numbers utilizing this function might change slightly from historical numbers, as follows:
- When counting very small amounts of unique values, the results will be improved to use exact counts rather than using estimates.
- When counting anything larger, count estimates will retain the same accuracy as prior to this update (estimates are accurate within 5 percent of the exact number, 95 percent of the time).
For more information about the Approximate Count Distinct function, see Approximate Count Distinct in Advanced functions
Full table export improvements
Full table export includes the following enhancements:
Export creation and configuration enhancements
- Create an export from the Exports page. Previously, you could only create an export from Analysis Workspace by right-clicking the table.
- Add a new account or location when creating an export.
- Automate file name creation and folder placement of exported files. This allows file names to be predictable and organized into folders in a logical way. Previously, file names were unpredictable and grouped into a single folder.
- Support for exporting data as Parquet files for improved data warehouse compatibility. Previously, only CSV and JSON were supported.
Export management enhancements
- Renew or cancel one or more exports from the Exports page.
- Resend one or more exports from the Logs page.
- Email individual users or groups when an export fails or is about to expire.
- More precise error messages for failed exports.
Calculated metric, segment, and dimension enhancements
- Support for more calculated metric functions. Previously, only simple math functions were supported.
- Apply segments when creating an export.
- Support for double-data type dimensions for improved precision.
Administrative enhancements
- Administrators can now view all exports and logs, regardless of who created them.
For more information, see the following resources:
March 11, 2026
(Originally planned for March 4, 2026)
Hands-on tutorial for Analysis Workspace
A new hands-on tutorial is now available to guide new users through the basics of using panels, visualizations, and components in Analysis Workspace.
(Documentation link to follow.)
Support for data mirror
With support for model-based schemas and change data capture (CDC) functionality for specific source connectors in Experience Platform, Customer Journey Analytics will be able to support data mirror functionality of data warehouse solutions like Snowflake, Azure Databricks, and Google BigQuery.
Contact your Adobe Account Team to access the beta.
Data Insights Agent integration with Copilot
The Data Insights Agent is now integrated with Microsoft Copilot, allowing you to interact with Customer Journey Analytics data using natural language prompts, directly within Microsoft tools, including Teams, Powerpoint, and more.
(Documentation link to follow.)
Data validation in the Adobe Engineering Agent
New data validation skills are available within the Data Engineering Agent. These skills help teams quickly assess data quality directly in Adobe Experience Platform, before the data is analyzed in Customer Journey Analytics.
Data validation skills enable on‑demand, field‑level, and dataset‑level validation, combining statistical summaries with intelligent detection of invalid or anomalous values.
Using data validation skills reduces manual QA effort and accelerates trusted data onboarding and transformations across data engineering workflows.
(Documentation link to follow.)
You can now apply a breakdown to a panel. When applying a breakdown at the panel level, the breakdown is applied to all columns in all freeform tables within the panel.
Streaming media services: Support schedule data
You can now upload schedule data of past live Streaming Media content to more easily and accurately track viewership.
The following are examples of live content that are supported with schedule data upload:
- FAST (Free Ad Supported TV) platforms
- Local streams
- Live sports
Uploading schedule data allows you to track viewership data for individual programs that ran during the time you designate in the upload file. You can even gather viewership data for specific topics or program segments.
These capabilities are available regardless of how you implemented Streaming Media Collection.
Previously, it was difficult to accurately tie a given session to specific programs when analyzing live content, and it wasn’t possible to tie a given session to individual topics or program segments.
For more information, see Upload schedule data to track live content
First half of 2026
(Originally planned to release on October 29, 2025)
Italian language support
The Italian locale (it-IT) is now supported in Analysis Workspace in Customer Journey Analytics.
Customer Journey Analytics supports all languages that are supported in the Experience Platform UI, as described in Browser and language support for the Experience Platform UI.
You can change your default language in Experience Platform.
Fixes in Customer Journey Analytics
Analysis Workspace: AN-440336, AN-440216, AN-438445, AN-438216, AN-437856, AN-437776, AN-437765, AN-437365, AN-432793, AN-432094, AN-431557, AN-431200, AN-429621, AN-429424, AN-427973, AN-426089, AN-425883, AN-424359
Components:
Content Analytics:
Guided analysis:
Exports: AN-432030
Data views: AN-440004, AN-437154, AN-431165
Implementation:
Report Builder: AN-437895, AN-437083, AN-434288, AN-434209, AN-433224, AN-430622
Reporting: AN-439482, AN-439545, AN-438708, AN-431206, AN-430079, AN-428302, AN-428257, AN-425779, AN-423330
Segmentation:
Scheduled reports:
Shared metrics and dimensions:
Other: AN-439795, AN-434783, AN-434233, AN-434005, AN-433368, AN-431322, AN-431165, AN-431012, AN-429983, AN-429067, AN-423285
Important notices for Customer Journey Analytics Administrators
Notice to admins: Adobe plans to remove support for the following TLS 1.2 cipher suites from Adobe data collection servers on May 27, 2026.
TLS_ECDHE_ECDSA_WITH_AES_128_CBC_SHATLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHATLS_ECDHE_RSA_WITH_AES_128_CBC_SHATLS_ECDHE_RSA_WITH_AES_256_CBC_SHATLS_RSA_WITH_AES_128_CBC_SHATLS_RSA_WITH_AES_256_CBC_SHA
No customer action is required for most implementations. This change primarily affects Analytics data sent from legacy native applications that use outdated TLS libraries, and a small number of web visitors on obsolete browsers or operating systems. Removing support for these cipher suites enhances security and aligns Adobe with modern encryption standards. Less than 0.1% of data collection traffic currently relies on these cipher suites.