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.
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 Unassigned Conversations using Databox, follow these steps:
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.
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 Open Conversations by Teammates metric in Intercom measures the number of ongoing conversations initiated by teammates within a specific time period.
The Assigned Conversations metric measures the number of conversations that have been assigned to a team or agent within a specified time frame.
New People Segment in Intercom measures the number of new visitors or users who have engaged with your website or product within a specified time frame. It helps in identifying growth opportunities and analyzing the effectiveness of marketing campaigns.
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.