Lift in Spend is a loyalty metric that calculates the increased spend per customer or groups of customers across two periods.

Spend to Maximize Impression Share describes the investment level or budget an ad campaign needs to maximize Search Impression Share with its current targeting settings. It is based on the idea that an ad campaign’s spend or budget controls the frequency with which an ad is displayed.

The Staff-to-Patient Ratio is a key metric in healthcare that measures the number of healthcare professionals available to care for a given number of patients within a specific unit or facility. It is a critical indicator of care quality and patient safety. By quantifying the level of human resources available, this metric helps organizations understand the workload on their staff and the potential impact on patient outcomes. This ratio can be applied broadly to all staff or to specific roles, such as nurses, physicians, or therapists. It provides a foundational data point for resource planning, budgeting, and compliance, enabling business leaders and administrators to make informed decisions that balance operational efficiency with the well-being of both patients and staff.

Subscriber Growth Rate measures the percentage growth of an application’s account base in a given time period compared to the previous time period. The time period can be a week, a month, a quarter, or a year.

The Subscribers metric counts the number of paid or non-paid users who have periodic access to a product or service. Most often, this metric refers to a subscription-based business model, for example, newspapers, magazines, phone, internet service, the use of software-as-a-service (SaaS), or even access to seasonal theatre performance.

The Subscribers Gained metric measures the number of new subscribers added to a YouTube channel and helps track your channel's growth over time.

Text Message Clicks counts the number of times people have clicked on the option to send a text message to the number linked in your social media profile page. This option is available as a contact method for businesses on social media platforms such as Instagram.

The Rule of 40 is a SaaS financial metric that balances revenue growth versus profit margins. It’s a rule of thumb to quickly determine the health and/or attractiveness of your SaaS company.

Ticket Reopen Rate (RR) is the percentage of solved tickets that have been reopened by customers. It is important for a support team to track ticket reopen rate, as this can provide insight into how well their customer service is performing. Reopen rates provide a direct measure of customer satisfaction with the service they receive and can help determine where improvements need to be made. For example, if an unusually high number of tickets are being reopened after they have been marked as solved, it could be a sign that customers are not getting the answers they need or that agents are not providing satisfactory solutions.

Ticket Reopens shows how many attempts it takes to solve a customer’s problem. When a customer responds to a previously solved ticket, the ticket automatically reopens and is tagged with an open status. If you're seeing a high number of reopens, it could indicate that there's an issue with your product or service. It might also suggest that agents are closing tickets before customers’ questions have been thoroughly addressed. This will not only leave them dissatisfied but they'll likely still need help resolving their issue.

Ticket Resolution Rate is the percentage of tickets that were solved out of the total number of tickets. It’s a measure of how efficient customer service agents are at solving customer inquiries.To calculate Ticket Resolution Rate, divide the number of tickets resolved in a given time period by the total number of tickets received over that same period and express it as a percentage.

Customer Issues, tickets, or incidents, refers to the capture of user or system initiated requests. These might include help requests, bug or error reports, events or alarms, feature requests, complaints or any type of other feedback. Generally we think of user generated issues first, but increasingly with the use of software and connected devices, these incident reports are being generated automatically.