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Hi there,
What you’re seeing with missing Device Type, Operating System, and Browser details in Real-Time Journeys is a fairly common limitation right now. A few key points:
Why the fields are blank
Real-Time Journeys relies on modern privacy/security standards, and many email clients (Gmail, Outlook, Apple Mail, etc.) intentionally mask device and browser data. This means the UI analytics often show “Unknown,” even for real human interactions.
When that data does appear, it’s usually because the recipient’s email client didn’t strip or proxy the metadata. So yes — in most cases, the rare entries that do show up are “true” human interactions rather than bot traffic
How to access the full analytics
The out-of-the-box analytics in the UI are intentionally limited. If you need deeper detail (device-level, OS, full clickstream, etc.), you’ll want to export the interaction data from the backend Azure Data Lake.
From there, you can bring it into Microsoft Fabric (or another reporting environment) to build richer reports that combine delivery, interaction, and metadata logs.
Our team has worked with clients on exactly this — dumping Customer Insights – Journeys analytics to Data Lake and surfacing them in Fabric/Power BI to unlock the full picture.
Licensing considerations
There isn’t a “special” license just to expose these analytics — any of the new CI Journeys licenses (Real-Time) give you the same UI analytics.
Where licensing does matter is for scale (e.g., if you’re moving high volumes, you may want the higher tier for interaction/event capacity).
Other notes
LinkedIn integration can be layered in without every user needing LinkedIn access — usually it’s just the marketing integration account or can be done with an integration in Customer Insights Data if your organization has purchased this.
For preferences and non-human interaction tracking (bot clicks, security filters), Real-Time Journeys does have features like consent & preference centers and spam/bot filtering, but the reporting granularity is not as detailed as Outbound used to be.
Bottom line: If you need richer analytics than what you see in the UI, the right approach is to export from Data Lake → Fabric/Power BI for reporting. That way you can overcome the masking and retention limits of the built-in dashboards.
Under review
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