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.
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 New Closed Conversations using Databox, follow these steps:
Intercom account overview databoard template gives you insights about new and closed conversations, active and slipping away users and more
Companies by People Count metric is the measurement of the number of companies that have engaged with a particular Intercom team within a specified timeframe based on their total number of employees. It helps to understand the team's reach and impact on different organization sizes.
The Closed Conversations metric measures the number of support conversations that have been resolved or closed by an agent or a customer in Intercom.
The Assigned Conversations metric measures the number of conversations that have been assigned to a team or agent within a specified time frame.
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.
The Active Company Segment metric in Intercom measures the number of companies currently engaged with a business and actively using their products or services.
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 by Teammates metric in Intercom measures the number of conversations closed by team members that were previously untouched or unassigned.
The Tags metric in Intercom measures the number of tags assigned to conversations, users, and leads. It helps in organizing conversations and provides insights into user behavior and preferences.