The Users metric in Intercom provides the total number of individual users who have interacted with your website or product through the Intercom platform.
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 Users 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
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 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.
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.