The Contacts by State metric provides a breakdown of the number of contacts in each state or region, allowing businesses to analyze customer distribution and tailor their support accordingly.
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 Contacts by State using Databox, follow these steps:
The Created Tickets by Company metric in Freshdesk displays the total number of tickets created by each company over a specific period, allowing you to track ticket volume for each company and assess their support needs.
Open Tickets by Priority metric shows the number of tickets that are currently open and categorized by priority level in Freshdesk.
The Unresolved Tickets by Type metric categorizes unresolved support tickets by their type, such as technical, billing, or general inquiries, giving insight into the types of issues customers are facing and allowing for targeted resolution efforts.
Resolved Tickets is a measure of the total number of support tickets that have been successfully resolved and closed within a defined period of time.
The Resolved Tickets by Association Type metric shows the number of tickets resolved and categorized by the association of the requester's organization with the ticket, such as company or product.
The Unassigned Tickets by Tag metric displays the number of unassigned tickets that have specific tags associated with them. This provides a quick overview of which tags have the most unassigned tickets, allowing prioritization of ticket allocation to agents.
The Unassigned Tickets by Association Type metric helps to track unassigned tickets based on the type of association with a product, category, or other factors in Freshdesk.
The Companies by Health Score metric in Freshdesk measures the overall health of a company's support interactions, ranging from excellent to poor, based on factors such as response times, resolution rates, and customer satisfaction.