Current Customer Journey Analytics release notes (September 2026)
Last update: September 9, 2026
These release notes cover the September 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
Customer Journey Analytics MCP server plugin
Use new Customer Journey Analytics MCP server plugins for ChatGPT and Claude to quickly access your data.
For more information, see the ChatGPT plugin guide and the Claude connector guide.
Support for additional data usage labels
Customer Journey Analytics now supports the following additional data usage labels for elements within a dataset:
- C2 – Restrict third-party data export (available now)
- C3 – Restrict directly identifiable data combination (available now)
- C9 – Restrict data science (planned to release in August or September)
For more information, see Labels, policies, and marketing actions.
Consent policy filtering and reporting
You can now report on which visitors match your Adobe Experience Platform consent policies. (Consent policy dimensions and metrics are added to the data views in your connection.)
Additionally, you can exclude non-consenting visitors before their data is ingested into Customer Journey Analytics.
(Documentation link to follow.)
Limit segments to the reporting date range
Data in a Workspace report can extend beyond the reporting date range when a segment includes date range components.
A new option is now available that allows you to limit results to the reporting date range regardless of any date components included in the segment.
This option is available when creating or modifying a segment whose top-level container is Person.
For more information, see Build segments.
Analyze LLM customer experiences in Analysis Workspace with Conversation Insights
Customer Journey Analytics now brings unstructured chat data into Analysis Workspace, allowing you to report on LLM-powered browsing and buying experiences that occur across your properties.
With this capability, you can:
- Collect prompts, responses, and agent metadata from conversational agents (either your organization’s custom agents or Adobe Brand Concierge) via Web SDK.
- Analyze intent, tone, and sentiment so you can understand what customers are asking, how your agent responds, and how your customers feel about their interactions.
- Analyze at scale using your existing schema, datasets, and data views, then surface insights in Analysis Workspace.
- Connect conversations to outcomes by tying agent interactions to your broader customer journeys, so you can measure real impact on conversion, engagement, and more.
Previously, LLM-powered experiences were difficult to measure and nearly impossible to connect to your existing customer journeys.
(Documentation link to follow.)
Total population reporting
You can now analyze and report on entities defined in profile and lookup datasets that exist in a Customer Journey Analytics connection. That analysis and reporting go beyond time-based series of events from event datasets.
This ability enables new classes of queries, metrics, and audience definitions that reflect the full scope of a business’s customer base.
(Documentation link to follow.)
Hourly alerts
You can now set an alert’s time granularity to Hourly.
Hourly alerts are intended for data that arrives within a given hour. If data has a latency longer than an hour, a longer granularity ensures that the alert evaluates complete data. Check with a data engineer if you’re unsure how long data takes to arrive.
p>(Documentation link to follow.)
Alert delivery strictly adheres to the configured delay
Alerts are now delivered at the end of the delay window that you set, regardless of whether data is complete or still being received for the specified event range. Any data that arrives after the delay window is not included in the alert.
Previously, alerts included a background processing check that waited for late-arriving data, even if that meant alerts were delivered after the configured delay window.
p>(Documentation link to follow.)
Adobe Brand Visibility integration
Connect Adobe Brand Visibility with your organization’s Customer Journey Analytics data so you can measure how AI-driven discovery translates into real website engagement and business outcomes.
(Documentation link to follow.)
Additional skills in CX Enterprise Coworker
New skills are coming to Coworker, including:
- Implementation Guides: Turn a short discovery conversation into a personalized, dependency-aware implementation plan, with ready-to-use exports to CSV, Jira, Workfront, and Markdown.
- Intelligent Implementation Checklist: Turn your discovery conversation into a governed, trackable implementation project in Coworker Projects: an ordered checklist of steps you can assign, monitor, and validate.
- Data Validation: Check your data fields and datasets directly in Coworker to confirm you’re working from trusted, accurate data (upgraded from Adobe Agent Orchestrator v1).
- Streaming Media Validation: Validate your Streaming Media data in Coworker to confirm it’s accurate and ready for reporting.
(Documentation links to follow.)
Fixes in Customer Journey Analytics
Analysis Workspace: AN-487374, AN-487119, AN-468907, AN-468810, AN-468363, AN-468096, AN-467414, AN-466986, AN-466982, AN-465073, AN-463571, AN-462373, AN-492801, AN-488821, AN-488452, AN-486517, AN-478930, AN-468325
Components:
Connections: AN-451458, AN-365942
Content Analytics:
Guided analysis: AN-485600
Exports: AN-489161, AN-467131, AN-464746, AN-469034, AN-447252, AN-437803, AN-394444
Data views: AN-478732, AN-468836, AN-467851, AN-487651, AN-423592
Data ingestion: AN-489829, AN-489722, AN-469451, AN-467436, AN-467049, AN-466087, AN-465049, AN-463524, AN-457433, AN-490288, AN-487500, AN-390916, AN-342311
Implementation:
Report Builder: AN-487486, AN-478944, AN-470036, AN-468589, AN-468436, AN-456747, AN-456700, AN-442695, AN-492330, AN-490564, AN-468293, AN-460921
Reporting: AN-479145, AN-469095, AN-468070, AN-467786, AN-456684, AN-465257, AN-422685, AN-406114, AN-356706, AN-322733
Segmentation: AN-486561, AN-278260
Scheduled reports: AN-479157
Shared metrics and dimensions:
Audience Analysis: AN-468237, AN-462553
Other: AN-469601, AN-462817, AN-362308, AN-349757, AN-326432, AN-326345, AN-324341, AN-309317
Postponed features
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 is 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.
TBD
(Originally planned for October 29, 2025)