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.
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 Conversations using Databox, follow these steps:
This Customer Support Dashboard uses the Intercom Customer Messaging platform to give you a full view of your Help Desk performance.
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 Open Conversations by Teammates metric in Intercom measures the number of ongoing conversations initiated by teammates within a specific time period.
The Closed Conversations metric measures the number of support conversations that have been resolved or closed by an agent or a customer in Intercom.
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 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.