Investigate account-level churn risk with Product Analytics account segments

Datadog Product Analytics account segments combine account-level business data, such as ARR, plan, renewal date, region, and customer success owner, with product behavior captured through Real User Monitoring, allowing teams to assess engagement and churn risk at the organization level rather than only by individual user. After enriching account profiles from sources such as Salesforce or Snowflake, teams can create dynamic reusable segments based on both attributes and events, such as enterprise accounts above $50,000 ARR where no user has activated a feature in 30 days. These segments can be applied across retention analyses, funnels, and Pathways to quantify risk, identify points of abandonment, and reveal navigation patterns that may indicate product blockers. In the example, accounts that had not adopted a collaboration feature showed lower retention and failed at the teammate-invitation step, with pathway data suggesting that permissions and role-management confusion prevented administrators from inviting users. Account-level findings can then be filtered by ownership or renewal details and shared with customer success teams to support targeted outreach and investigation.

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