audience-management

You can query and segment users from Datadog RUM data by using flexible filtering and wildcard search capabilities to retrieve specific user segments based on session properties and account attributes.

Yes, you can enrich Datadog RUM audience data by managing data connections to merge user and account information with external sources like CRMs and reference tables.

To find users with specific session performance metrics in Datadog RUM, apply event-based queries and filters, such as locating all users who visited a specific page with a session load time over 5 seconds.

Yes, you need Datadog API keys and properly configured environment variables for authentication to manage audience data and retrieve user and account attribute values and counts.

The best way to filter large accounts in Datadog RUM user management is using property-based filtering to target specific segments, such as finding accounts with more than 100 users.

Querying user data through the Datadog RUM API requires valid API keys and environment variables for authentication, and complex event-based queries depend on the availability and accuracy of specific facet attributes.