The Created Tickets by Association Type metric displays the number of tickets created based on the association type (e.g., customer, contact, company) within a specific time frame.
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 Created Tickets by Association Type using Databox, follow these steps:
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.
The Pending Tickets metric represents the number of support tickets that are awaiting action or response from agents or customers. It is a key indicator of workload and efficiency in customer support operations.
The Pending Tickets by Association Type metric tracks the number of unresolved tickets in Freshdesk based on the type of association they have (such as a customer, contact, organization, or group).
The Resolved Tickets by Tag metric shows the number of tickets that have been resolved, categorized by their respective tags in Freshdesk.
The Resolved Tickets by Type metric measures the number of resolved tickets grouped by their respective types in Freshdesk. This provides insights into the types of issues that your support team is resolving effectively.
The Unassigned Tickets by Source metric shows the total number of tickets that are currently unassigned, categorized by the source from which they were received.
The Contacts by Company metric provides insight into the number of unique contacts associated with each company in a Freshdesk account. It helps identify which companies have the most contacts and enables better management of customer relationships.
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.