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.
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 Companies by Account Tier using Databox, follow these steps:
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 Hours Tracked by Ticket metric in Freshdesk tracks the amount of time spent by agents on a particular ticket, providing insight into agent productivity and ticket resolution times.
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 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 Overdue Tickets by Association Type metric displays the number of tickets that are past their due date, organized by the type of association with your organization (e.g. company, contact, agent).
The Unassigned Tickets by Company metric in Freshdesk shows the number of unresolved tickets that are yet to be assigned to any agent or team, grouped by the companies they are associated with.
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 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.