Call Center Benchmarks
Median and top-quartile figures for every core contact center metric, plus the same numbers broken out by vertical. Each table names its source and the period it covers, because an undated benchmark is worse than none.
The short version
For 2026, the core inbound benchmarks are: service level between 75/30 and 85/20, average speed of answer around 25–28 seconds, average handle time of 4–7 minutes on voice, first call resolution of 70–85%, abandonment of 2–5%, occupancy of 75–82%, shrinkage of 30–35%, and CSAT of 85%+.
Cost per contact splits sharply by channel: roughly $2 for self-service against $13 for an assisted contact. That gap is the entire financial argument for deflection, and it is the number AI is currently moving fastest.
Core benchmarks by metric
Read the “paired metric” column before you act on any single row. Most contact center metrics can be improved in isolation by damaging something else, and the pairing is what stops that.
| Metric | Typical range | Top quartile | Read it next to |
|---|---|---|---|
| Service level | 75/30 to 85/20 | ~88% in 20s | Abandonment rate |
| Average speed of answer | 25–28 seconds | Under 15s | Abandonment tail |
| Average handle time (voice) | 4–7 minutes | Vertical-specific | First call resolution |
| First call resolution | 70–74% | 80%+ | Average handle time |
| Abandonment rate | 2–5% | Under 3% | Average speed of answer |
| Occupancy | 75–82% | 78% sustained | Attrition, 90-day lag |
| Shrinkage | 30–35% | Accurately forecast | Service level attainment |
| Schedule adherence | 85–90% | ~92% | Intraday service level |
| CSAT | 75–85% | 85%+ | Occupancy, then AHT |
| Cost per contact | ~$2 self-service / ~$13 assisted | Blended, trending down | Containment quality |
| Annual agent turnover | 40–45% | Under 30% | Occupancy, tenure |
Compiled from published 2025–2026 industry aggregates including CloudTalk, Lorikeet, Gartner cost-per-contact figures, ContactBabel and QATC turnover data, and vendor benchmark sets. Individual sources disagree at the margins; where they did, we show the range rather than picking a favourite.
Benchmarks by industry
A 240-second average handle time is healthy for collections and alarming for Medicare enrolment. Comparing yourself against a cross-industry average is the most common benchmarking mistake, and it is the one that produces the worst decisions.
| Industry | FCR | AHT | What drives the difference |
|---|---|---|---|
| Retail & e-commerce | ~78% | Short | Speed and volume; highly seasonal, so service level should flex by event |
| Healthcare | ~71% | Longer | Accuracy and privacy obligations justify a higher AHT |
| Financial services | 67–71% | Moderate | Verification steps and regulatory scripting extend every contact |
| Insurance & Medicare | Moderate | ~7 min | Plan comparison is inherently slow; rushing it destroys conversion |
| Collections | Moderate | ~4 min | Right-party contact matters more than resolution rate |
| Utilities | 70–85% | Short | Outage traffic must be measured separately from routine service |
| Complex B2B support | Lower | 10–12 min | Technical depth; a short AHT here is a warning sign, not a win |
Outbound benchmarks
Outbound is measured differently. Service level and abandonment still apply, but the metrics that decide whether a campaign is working are connect rate, right-party contact and contacts per agent hour — and all three are governed by list quality and caller ID reputation far more than by dialer configuration.
- Connect rate is driven primarily by list age, time-of-day strategy and whether your numbers are being labeled. A campaign whose connect rate collapsed overnight almost always has a caller ID reputation problem, not a pacing problem.
- Pacing ratio should be tuned against your abandonment ceiling, not against talk time. Raising the ratio always buys connects and always buys dropped calls.
- List penetration reveals whether you are working the list or re-hitting the same small pool of reachable records.
- Contacts per agent hour is the honest productivity number, because it already nets out idle time, wrap-up and voicemail.
Benchmarking an AI-assisted operation
Once part of your volume is handled by automation, a single blended average hides everything that matters. Benchmark in three layers instead: AI-only, human-only, and blended. A blended AHT that looks excellent can be an AI tier that deflects easy contacts and a human tier that is quietly drowning in the hard ones.
The metric people get wrong
Containment rate counts contacts that did not reach a human. It does not count contacts that were resolved. A high containment rate paired with rising repeat-contact volume means the automation is deflecting people, not helping them. Always pair containment with repeat-contact rate over a 7-day window.
How to benchmark without misleading yourself
- Compare against your vertical, not the cross-industry average.
- Check the reporting period on every published figure you cite. Several widely-quoted 2026 benchmarks are 2023 collections.
- Segment before you average. Blend outage traffic with routine service, or AI with human, and you will not be able to see either.
- Read metrics in pairs. AHT with FCR. ASA with abandonment. Occupancy with attrition. Containment with repeat contact.
- Re-baseline quarterly. Weekly for your own numbers, quarterly against external data.
Frequently asked questions
What is a good service level for a call center?
The long-standing default is 80/20 — 80% of calls answered within 20 seconds. In practice, 2026 voice queues commonly sit between 75/30 and 85/20, and top-quartile centers reach roughly 88% within 20 seconds.
Service level is a business decision, not a universal standard. A higher target costs headcount, so set it against the abandonment and satisfaction you are willing to accept.
What is a good average handle time?
Voice AHT commonly runs 4–7 minutes, with US centers averaging around six. But the right figure is vertical-specific: complex B2B support routinely runs 10–12 minutes, Medicare plan comparison around seven, collections closer to four.
Never optimize AHT alone. A lower AHT that drags FCR down just moves the same work into next week's volume.
What is a healthy occupancy rate?
75–82%, with customer support medians near 78%. Sustained occupancy above 85% reliably produces satisfaction decline and an attrition spike roughly 90 days later, so the seat-cost saving is usually cancelled out by turnover cost. Below 70% is wasted capacity that inflates cost per contact.
What is a normal abandonment rate?
2–5% on inbound; North American centers have averaged around 5.2%. Anything sustained above 8% needs attention and usually indicates understaffing or an IVR that traps callers rather than routing them. A virtual hold callback offer is typically the fastest fix that does not require headcount.
What is the average agent turnover rate?
40–45% annually, with some operations above 60% and first-year attrition higher still. Median tenure is roughly 13–15 months. Replacing one agent is generally costed at $10,000–$20,000, so a 100-seat center at 40% turnover spends several hundred thousand a year on churn alone.
How often should benchmarks be reviewed?
Your own numbers weekly; external benchmarks quarterly. Published benchmarks age quickly, particularly now that AI deflection is shifting cost per contact and blended handle time. Always check the reporting period before citing a figure.
See where you actually stand
DialedIn's dashboards report every metric on this page in real time, segmented by campaign, queue and agent — so the comparison is against your own trend, not a blended average.