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.
With Databox you can track all your metrics from various data sources in one place.
Used to show comparisons between values.
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 Companies by People Count 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 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.
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.
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 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.
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.