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.
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 Company using Databox, follow these steps:
Created Tickets by Source tracks the origin channel (email, phone, chat, social media) for new support tickets created in Freshdesk.
The Billable Hours by Ticket metric measures the amount of time spent on a ticket that can be charged to the customer or client, providing insights into the profitability of customer support operations.
The Open Tickets by Company metric in Freshdesk shows the number of unresolved tickets associated with each company that have not yet been closed or resolved by agents.
Pending Tickets by Type metric displays the number of open tickets organized by their types that are still awaiting resolution or response from agents.
The Closed Tickets by Priority metric tracks the number of resolved tickets based on their level of priority, allowing teams to identify which issues were resolved with the highest level of urgency.
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 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.