Queue Time
Definition
Queue Time
Queue time is the interval between a customer joining a service queue and the moment a live agent picks up. It is a direct read on staffing accuracy, caller patience, and abandonment risk inside any voice or digital contact center operation.
Callers give up fast, so every extra second in the queue carries a measurable cost. Inside a call center, queue time is the gap between the last Interactive Voice Response (IVR) prompt and the agent’s hello.
The 2024 edition of ContactBabel’s UK Contact Centre Decision-Makers’ Guide, an annual industry survey, shows abandonment climbing sharply once the wait passes 40 seconds.
Salesforce’s 2024 State of the Connected Customer found 66% of consumers switch brands after a single slow support experience. That makes the queue a revenue problem.
Key takeaways
- Queue time counts only the seconds between queue entry and agent connect, so IVR, ring, and talk time are excluded.
- The benchmark for voice is under 30 seconds, and abandonment risk climbs sharply past 60 seconds.
- In lean manufacturing, queue time can account for up to 90% of total lead time.
- Common levers include demand forecasting, schedule adherence, callback offers, and self-service deflection.
- It sits beside average handle time, average speed of answer, and abandonment rate as a leading indicator of customer experience.
How it works
Queue time is measured as the elapsed seconds between a caller entering the service queue and being routed to an agent. Automatic call distributor (ACD) platforms stamp the queue-entry moment, then stamp the answer moment at pickup.
Two formulas capture the daily view:
- Queue time (per call) = agent-answer timestamp minus queue-entry timestamp
- Average queue time (AQT) = sum of individual queue times ÷ number of queued interactions
AQT is usually reported in seconds and paired with the 80/20 rule, meaning 80% of calls answered within 20 seconds.
The service level target and the average hide different problems. A queue can average 25 seconds and still leave a long tail of callers waiting minutes, which is why mature operations report the average and the worst-case wait side by side.
Longer queues almost always trace back to a break in the workforce management (WFM) plan — understaffed intervals, shrinkage above 30%, or adherence slipping below 88%.
Benchmarks vary by vertical. The table below combines ICMI service-level guidance with the ContactBabel and Deloitte 2024 industry surveys.
| Industry | Target queue time (voice) | Healthy abandonment |
|---|---|---|
| Retail | Under 20 seconds | Under 5% |
| Financial services | Under 30 seconds | Under 8% |
| Healthcare | Under 45 seconds | Under 8% |
| Telecom | Under 30 seconds | Under 6% |
| Utilities | Under 60 seconds | Under 10% |
Digital queues follow the same math — web chat targets under 45 seconds, while email queue time is measured in hours and folded into first-response service level agreements (SLAs).
Skill-based routing, priority tiers, and callback-in-queue are the three most-cited tools for cutting AQT without adding headcount. Each one changes who waits and for how long, rather than adding cost.
Pushing occupancy rate too high backfires. Agents above 90% occupancy burn out, take longer breaks, and drift off adherence, which sends queue time back up within a fortnight.
Examples
Real queue-time gains almost always come from routing changes, not headcount. Named providers publish the numbers: Teleperformance, Concentrix, and TTEC all reported double-digit reductions in 2024 after rebuilding how interactions reach an agent.
Work the maths on a mid-size queue. If 4,000 calls a day each wait 45 seconds, that is 50 hours of customer time a day; halving the wait gives back 25 hours without touching headcount.
Teleperformance’s 2024 annual report describes AI-powered call routing cutting average queue times by roughly 20% across its banking book. Concentrix published similar gains after rolling out visual IVR in retail and utilities queues in North America.
Manila-based providers serving US retail typically hold queue time under 25 seconds during peak seasons, a target Foundever and Alorica both publicise for their Philippines sites.
Staff adherence above 90% and occupancy near 82–87% are the operating conditions that make that possible. Neither holds up without interval-level forecasting.
TTEC’s 2024 CX Optimization report highlighted a healthcare client that cut queue time from 78 seconds to 22 seconds after adding callback-in-queue and shifting 18% of interactions to asynchronous chat.
Genpact and Wipro have referenced comparable results from routing overhauls at large insurers, with the knowledge-work spillover moving into knowledge process outsourcing (KPO) teams.
Manufacturing offers a different frame, where queue time can absorb up to 90% of total lead time. Toyota’s lean literature — echoed by Deloitte’s 2024 Smart Factory study — treats it as the single largest source of production waste.
The fix there is pull scheduling and takt-time discipline rather than added capacity, which is the same lesson contact centers keep relearning every peak season.
Related terms
Queue time never moves alone. These neighbouring metrics and delivery models either drive it or absorb its consequences, and reading them together tells you whether a wait problem is a staffing problem or a routing problem.
- Call Abandonment: the direct downstream metric, since long queues push abandonment up.
- Workforce Management: the planning discipline that keeps staffing inside the queue time target.
- Business Process Outsourcing (BPO): the delivery model most contact centers use to hit queue time service levels at scale.
- Customer Satisfaction Rating (CSAT): the customer facing score most sensitive to long waits.
- Staff Leasing: a Philippine workforce arrangement that supports flexible queue time staffing.
FAQ
Here are the questions teams ask most when they start managing queue time as a line item rather than a byproduct. Each answer reflects current contact center practice across voice, chat, and email queues.
What is a good queue time in a call center?
Under 30 seconds is the widely quoted benchmark for voice. Retail and telecom often target under 20 seconds, while financial services and healthcare queues run longer because verification and clinical routing add steps.
How is queue time different from average speed of answer (ASA)?
They are calculated the same way, both measuring the wait between queue entry and agent pickup. ASA is the more common label in North American ACD reports, while queue time is the more industry-neutral term.
What causes queue time to rise?
The three usual culprits are forecast misses, unplanned shrinkage above 30%, and adherence slipping below 88%. Outage-driven call spikes and misrouted IVR paths inflate it too.
How can outsourcing help reduce queue time?
Providers in the Philippines, India, and Colombia offer 24/7 coverage at cost points that make overstaffing during peak windows affordable. Mature forecasting teams and WFM tooling usually pull queue time down within one to two quarters of go-live.
Is queue time the same in chat and email?
The concept is identical, but the targets differ. Chat queues aim for under 45 seconds, while email is measured in hours and rolled into a first-response SLA rather than reported as a live queue.
Does self-service reduce queue time?
Yes, deflecting routine tasks such as password resets, order status, and appointment booking to IVR, chatbot, or a portal shrinks live-queue volume by 20–40% at well-run programmes.
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