The Assigned Conversations metric measures the number of conversations that have been assigned to a team or agent within a specified time frame.
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 Assigned Conversations using Databox, follow these steps:
The Users metric in Intercom provides the total number of individual users who have interacted with your website or product through the Intercom platform.
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 "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.
Open Conversations metric measures the number of ongoing conversations that have not been marked as resolved by the customer or the support team within a specified time frame. It highlights how engaged customers are with your business and how effective your team is in resolving their issues.
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 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 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.