Call center metrics are the measures a contact center uses to track how quickly, how well, and at what cost it serves customers. Customer service metrics is the broader term for the same measures across phone, chat, email, and messaging.
Most metrics fall into four groups: speed and access, resolution and experience, efficiency and cost, and automation. Each metric below links to its own entry where one exists.
Speed and access metrics
Service level. The share of calls answered within a target time, written as a percentage within a number of seconds. It is a common staffing target.
Average speed to answer (ASA). The average time a caller waits in the queue before an agent answers. In ContactBabel's 2026 survey of 215 UK organizations, the average was 111 seconds.
Abandonment rate. Calls in which the caller hangs up before reaching an agent, divided by calls offered. Many centers leave out callers who hang up within the first few seconds.
First response time. The written-channel equivalent: how long a customer waits for the first reply. See first response time.
Resolution and experience metrics
First contact resolution (FCR). The share of issues solved in the first contact. SQM Group, a benchmarking firm, put the survey-based industry average at 70% in 2021. It found that internally measured rates tend to run 10 to 20% higher. See first contact resolution.
Time to resolution. The time from first contact to a solved case, which matters most when a case needs follow-up work. See time to resolution.
Repeat contact rate. Customers who come back about the same issue within an agreed window, such as seven days, on any channel.
Customer satisfaction (CSAT). A post-contact rating of the experience. See CSAT.
Customer effort score (CES). How easy the customer found it to get the issue solved. See customer effort score.
Net Promoter Score (NPS). Willingness to recommend the company. It reflects the whole relationship, so it tends to move slowly when service changes.
Efficiency and automation metrics
Average handle time (AHT). Talk time plus hold time plus after-call work, per contact. See average handle time.
Occupancy. The share of logged-in time agents spend handling contacts.
Cost per contact. Total service cost divided by contacts handled. ContactBabel's 2026 UK guide puts the average cost of an inbound call at £6.17.
Deflection rate. Contacts that self-service kept away from a human agent. See deflection rate.
Containment rate. The share of calls an IVR or AI agent handles without a human agent. Twilio notes that a customer who gives up and hangs up also counts as contained.
Automated resolution rate. Contacts the AI agent fully resolved, with no transfer. See automated resolution rate.
How to read call center metrics together
A single metric can mislead, so it helps to read them in pairs.
AHT with FCR. Shorter calls that leave the issue unsolved create repeat calls.
Containment with repeat contacts. A contained call that comes back two days later was never solved.
ASA with abandonment. A short wait can coexist with many callers who gave up before it ended.
It also helps to report per call reason. When automation takes over the short, simple calls, the calls left for people tend to be longer, so AHT can rise while the operation improves.
Frequently asked questions
What are the most important call center metrics?
It depends on the goal. Many contact centers track service level, abandonment, FCR, CSAT, AHT, and cost per contact. Teams running AI agents add automated resolution rate and repeat contacts.
What is the difference between a call center metric and a KPI?
A metric is any measure the contact center records. A KPI is a metric chosen as a target for a business goal, with an owner and a threshold. A center often tracks many metrics and only a handful of KPIs.
What is a good first contact resolution rate?
SQM Group's survey-based industry average of 70% is a common reference. Rates vary with the mix of call reasons and the way FCR is measured. The fairest comparison is against your own baseline, per call reason, using one definition.
How do AI agents change call center metrics?
They split the operation into AI-handled and human-handled contacts, which are best reported apart. Containment needs a check on resolution and repeat contacts. Human AHT often rises because the remaining calls are harder.
How we approach this at Zowie
Zowie builds AI agents for voice, chat, and email; across our clients they handle over 100 million conversations a year. The language model speaks. A separate, deterministic Decision Engine returns every amount, rate, offer, disclosure, and escalation from your own rules, with an audit log. You are welcome to book a demo.
Explore: Average handle time, First contact resolution, CSAT, Automated resolution rate, Call center analytics, Deflection rate, Workforce optimization (WFO)