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 Leads metric in Intercom refers to the number of potential customers who have shown interest in your product or service by providing their contact details, such as name and email address.
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 Conversations metric measures the number of messages exchanged between customers and support agents within Intercom. It provides insights into the volume of customer inquiries and the workload of support teams.
The Active Company Segment metric in Intercom measures the number of companies currently engaged with a business and actively using their products or services.
The Slipping Away Company Segment metric in Intercom is a measure of the percentage of customers who have stopped using the product within a specified time period, which helps to identify potential churn risks and inform retention strategies.
Active People Segment is a metric in Intercom that groups together users who have performed specific actions or engaged with your business in a certain way within a set time period. It helps to identify your most active and engaged users.
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.