Unassigned Conversations is a metric that tracks the number of incoming conversations that have not been assigned to any team member or agent in Intercom.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Unassigned Conversations using Databox, follow these steps:
The People Segments metric in Intercom allows you to group users based on common characteristics, such as behavior, interests, or demographics, enabling you to communicate with targeted groups for more effective outreach.
The Companies metric in Intercom tracks the number of unique organizations or companies that have engaged with your business through their platform, providing valuable insights into your customer base.
The "Companies Count by Segment Name" metric in Intercom shows the number of companies that have been categorized into different segments based on specific criteria, helping teams understand and target their customer base more effectively.
The Closed Conversations metric measures the number of support conversations that have been resolved or closed by an agent or a customer in Intercom.
New Conversations is a metric that measures the number of first-time interactions with customers in a given time period, indicating the level of customer engagement and potential growth opportunities for a business.
The New Company Segment metric in Intercom measures the number of newly created segments in a specific time period, indicating how often businesses are creating new groups of customers based on different criteria.
Slipping Away People Segment is a metric in Intercom that tracks the number of users who were once engaged but haven't used your product for a certain period of time and are at risk of churning.
The New Closed Conversations metric in Intercom measures the number of customer conversations that were closed for the first time during a specific time period. It helps track the efficiency of your customer support team.