Customer Effort Score (CES) is a measure of how easy or difficult it is for customers to interact with your company, for example, to make a purchase, to access a free trial, to resolve a problem, to navigate your website, or to get something done in your product. It’s measured by surveying customers after a specific interaction, and asking them to rate how easy or difficult it was to do what they wanted to do. Examples of difficult or high-effort interactions are ones that add friction for customers, for example, making them repeat information, interact with multiple people or screens, or wade through generic content to find information relevant to them.

A Customer Health Score is a single, calculated number that reflects a customer’s health across multiple dimensions. By monitoring Customer Health Scores, you can detect early signals of increased friction or declining customer engagement. You can also identify highly engaged and loyal clients, who would make excellent advocates.

Customer Lifetime Value (LTV) represents the total net revenue a business can reasonably expect to generate from a single customer account throughout the entire duration of their relationship. This metric goes beyond simple transaction analysis by incorporating customer retention patterns, purchasing frequency, and profit margins to provide a comprehensive view of customer economic value. LTV serves as a cornerstone metric for strategic decision-making, enabling businesses to optimise acquisition spending, prioritise retention efforts, and identify high-value customer segments that drive sustainable growth.

Customer Retention Rate calculates the proportion of customers in a particular period that are retained into the next period.

CSAT is a measure of the level of satisfaction that a customer has with a company’s products and/or services, most often provided by the customer as part of a survey. It is commonly used as an indicator of a customer’s loyalty to a company.

One of the most fundamental metrics, Customers is the total count of paying patrons of your business. Without paying customers there is no growth and no value in your business. To accurately assess your customer base, it's important to track new and returning customers as they play a different role in your business. New Customers refer to users who just signed up or made their first purchase with your company while Returning Customers are those who have already made a purchase in the past.

DAU Growth Rate is the increase in Daily Active Users over a period of time, typically represented in a percentage. It can be a good indicator of successful sales and marketing efforts, as well as an indicator of good product-market fit.

DAU/MAU Ratio (Daily Active Users to Monthly Active Users ratio) measures how active monthly users are on a daily basis. In other words, this engagement metric measures the number of days in each month that users performed an activity that qualifies them as active users. A higher DAU/MAU Ratio generally indicates high stickiness, meaning users consistently return to the app.

Daily Active Accounts measures the number of unique accounts with at least one user who has interacted with an application or platform in a day. An active account may include one or more users, who may each have varying degrees of activity.

Daily Active Users are the number of unique users of an application or platform that have interacted with it in a day. This metric is used to track daily user engagement. Daily Active Users includes both new users and existing users who have interacted with the application.

The Debt to Equity Ratio measures how your organization is funding its growth and how effectively you are using shareholder investments. A high Debt to Equity Ratio is evidence of an organization that’s fuelling growth by accumulating debt. This is a common practice, as outside investment can greatly increase your ability to generate profits and accelerate business growth. Reaching too far, however, can backfire and leave the company bankrupt. As such, a high Debt to Equity Ratio is often interpreted as a sign of risk.

Defect Rate is the percentage of finished units that fail to meet quality standards. It measures how many units are nonconforming at inspection, during production, or after delivery when a customer identifies a defect. Lower is better because it reflects stable processes, fewer escalations, and less rework.