Pending Tickets by Tag is a metric that displays the number of tickets with a specific tag that are currently pending and awaiting action or resolution in Freshdesk.
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 Pending Tickets by Tag 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.
The Created Tickets by Type metric shows the number of new tickets generated in each category or type in a given period, providing insights into the nature of customer issues and allowing for targeted support.
The Pending Tickets by Priority metric displays the number of tickets waiting for a response based on their priority level.
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).
Resolved Tickets by Priority metric categorizes the resolved tickets based on their priority and shows their count, helping in monitoring and improving the resolution times of high-priority tickets.
The Overdue Tickets metric measures the number of tickets that have surpassed their due date and have not been resolved or closed.
The Companies by Account Tier metric categorizes your customer base into different tiers based on their value or engagement level, helping you identify high-value customers and prioritize your efforts accordingly.
Contacts metric in Freshdesk tracks the number of unique individuals who have contacted your support team through various channels like email, phone, chat, or social media. It helps to measure the volume of customer interactions and improve support processes.