Measuring employee and company performance is critical to the success of any business. Key performance indicators (KPIs) are effective tools used to track and measure progress towards business goals. In the field of customer support, KPIs can help businesses identify areas of improvement and enhance the customer experience. This article explores various KPIs used in customer support and why they are essential to improving business success.

Key Performance Indicators (KPIs) are measurement tools used to track and evaluate specific goals or objectives. In customer support, KPIs help companies understand how well their support team is performing and where they may need to improve. Common KPIs in customer support include First Response Time (FRT), average resolution time, Average Handling Time (AHT), cost per ticket, customer retention, Net Promoter Score (NPS), and Customer Effort Score.

First Response Time (FRT) is the time it takes for an agent to respond to a customer’s support ticket. FRT is essential because customers expect quick responses to their inquiries. The longer the FRT, the more frustrated the customer may become, leading to a decrease in customer satisfaction. In a survey by Kayako, 71% of customers expect a response to their support ticket within the same day. A high FRT can negatively impact customer retention, so businesses must strive for a low FRT.

Average resolution time measures how long it takes to solve a support ticket from start to finish. This KPI reveals how efficient the support team is in resolving customer issues. A long average resolution time can be frustrating for customers, leading to decreased satisfaction and revenue loss. The goal is to reduce resolution time as much as possible without sacrificing quality.

Average Handle Time (AHT) refers to the amount of time an agent spends on a support ticket. This KPI is important because a shorter AHT can lead to more customers helped and increased revenue generated. However, reducing AHT should not be done at the expense of quality service. Agents should be trained properly to handle complex issues and provide excellent service, even with shorter AHT.

Calculating the cost per ticket is essential for determining staffing and operating costs. By understanding how much it costs to resolve each ticket, businesses can adjust staffing levels and make informed decisions about their support operations. This KPI is critical in helping businesses maintain profitability and ensure efficient operations.

Customer retention is a KPI that measures a company’s ability to retain customers over time. Customers who are satisfied with their experience are more likely to return for future business, which leads to increased revenue. In customer support, high levels of customer retention indicate that the support team is doing an excellent job.

Net Promoter Score (NPS) is a satisfaction benchmark that measures how likely customers are to recommend a business to someone else. This KPI is critical because it focuses on customer loyalty, which is a vital component of any successful business. By understanding how satisfied customers are with the support they receive, businesses can make improvements to retain more customers and attract new ones.

The Customer Effort Score measures how much effort the customer had to put into resolving their issue. A high CES score indicates that customers found the support process challenging and cumbersome. This key performance indicator (KPI) is critical in helping businesses simplify their support process, making it more efficient and user-friendly.

Service representatives are essential in improving customer satisfaction. They are the frontline representatives who interact with customers and can make or break their experience. Training and supporting service reps are critical components in ensuring that customers have a positive experience. Businesses must provide comprehensive training programs, offer ongoing support, and consistently measure their success.

KPIs are essential tools for measuring employee and company performance. In customer support, KPIs can help businesses identify areas for improvement to enhance the customer experience. By monitoring FRT, average resolution time, AHT, customer retention, NPS, and CES, businesses can make informed decisions to improve their support operations. Using appropriate KPIs can lead to improved customer satisfaction, higher retention rates, and increased revenue.

Explore more

Transforming APAC Payroll Into a Strategic Workforce Asset

Global organizations operating across the Asia-Pacific region are currently witnessing a profound metamorphosis where payroll functions are shedding their reputation as stagnant cost centers to emerge as dynamic engines of corporate strategy. This evolution represents a departure from the historical reliance on manual spreadsheets and fragmented legacy systems that long characterized regional operations. In a landscape defined by rapid economic

Nordic Financial Technology – Review

The silent gears of the Scandinavian economy have shifted from the rhythmic hum of legacy mainframe servers to the rapid, near-invisible processing of autonomous neural networks. For decades, the Nordic banking sector was a paragon of stability, defined by a handful of conservative “high street” titans that commanded unwavering consumer loyalty. However, a fundamental restructuring of the regional financial architecture

Governing AI for Reliable Finance and ERP Systems

A single undetected algorithm error can ripple through a complex global supply chain in milliseconds, transforming a potentially profitable quarter into a severe regulatory nightmare before a human operator even has the chance to blink. This reality underscores the pivotal shift currently occurring as organizations integrate Artificial Intelligence (AI) into their core Enterprise Resource Planning (ERP) and financial systems. In

AWS Autonomous AI Agents – Review

The landscape of cloud infrastructure is currently undergoing a radical metamorphosis as Amazon Web Services pivots from static automation toward truly independent, decision-making entities. While previous iterations of cloud assistants functioned essentially as advanced search engines for documentation, the new frontier agents operate with a level of agency that allows them to own entire technical outcomes without constant human oversight.

Can Autonomous AI Agents Solve the DevOps Bottleneck?

The sheer velocity of AI-assisted code generation has created a paradoxical bottleneck where human engineers can no longer audit the volume of software being produced in real-time. AWS has addressed this critical friction point by deploying specialized autonomous agents that transition from simple script execution toward persistent, context-aware assistance. These tools emerged as a necessary counterbalance to a landscape where