Customer Success Manager Metrics

Agent Wait Time is the total combined time a support ticket spends in pending status, waiting for a response from the requester. Unlike customer-facing metrics such as First Response Time or Resolution Time, Agent Wait Time measures how long the support agent waits between interactions. High pending time reduces agent efficiency and makes it harder to maintain context across complex tickets.

Average Purchase Frequency is the average number of times a customer makes a purchase within a defined period. It measures how often customers return to buy, helping businesses understand purchase patterns, inform loyalty strategy, and improve customer lifetime value.

Average Speed to Answer (ASA) is the average time a call centre agent takes to answer an inbound customer call, including queue wait time but excluding IVR navigation time. ASA is one of the most important signals tied to customer satisfaction in contact centre operations.

Call Abandon Rate is the percentage of inbound callers who hang up before reaching a live agent. It reflects queue experience and staffing adequacy, and is closely tied to Average Time to Answer. A rising abandon rate signals that callers are not willing to wait as long as your current setup requires, pointing to gaps in capacity, IVR design, or call routing.

Customer Effort Score (CES) is a measure of how easy or difficult it is for customers to interact with your company, whether that means making a purchase, accessing a free trial, resolving a problem, navigating your website, or getting something done in your product. CES is measured by surveying customers after a specific interaction and asking them to rate how easy or difficult it was to accomplish their goal. High-effort interactions, ones that make customers repeat information, deal with multiple people or screens, or search through irrelevant content, are the primary driver of disloyalty.

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, and identify highly engaged 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 is the percentage of existing customers a business keeps from one period to the next, excluding newly acquired customers.

CSAT is a measure of how satisfied customers are with a company's products or services, most often collected through a survey. It captures customer perception at a specific point in time and is one of the most widely tracked customer experience metrics because it is simple to collect, easy to interpret, and flexible enough to apply at both a granular and aggregate level.

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

Daily Active Users (DAU) is the count of unique users who interact with an application or platform on a given day. DAU measures daily engagement and includes both new and returning users. Unique users are identified by a username, email address, or user ID, and active users can be paying or non-paying.

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.