Support Benchmark Calculator
Benchmark your customer support metrics against industry averages for response time, resolution rate, CSAT, and cost per ticket.
Last updated: March 2026
A customer support benchmark compares your support team performance against industry standards including CSAT, first response time, and cost per ticket. A CSAT score above 90% is excellent. Use this free tool to identify areas for improvement.
Cost Per Ticket
$30
CSAT Score
85.0%
Resolution Score
75.0%/100
Daily Ticket Volume
23 tickets
How You Compare
Your cost per support ticket is better than 57% of B2B SaaS.
Industry typical: $15-50
Source: Zendesk Customer Experience Trends Report 2025
💡 What This Means
- ✅ CSAT of 85% is solid. The SaaS average is 78%. Focus on reducing resolution time to push this higher.
- 📊 Resolution score: 75/100. 23 tickets/day. Aim for first response under 30 minutes and resolution under 4 hours.
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What is Customer Support Performance?
Customer support performance benchmarks measure the efficiency and quality of your support operation through metrics like response time, resolution time, CSAT, and cost per ticket. These metrics directly impact customer retention and lifetime value. Track satisfaction with the NPS Calculator and understand per-ticket economics with the Support Ticket Cost Calculator.
The Formula
Cost per Ticket = (Total Support Team Cost + Tools + Overhead) ÷ Total Monthly Tickets
Worked Example
A 3-person support team: $15,000/month combined salaries, $2,000/month tools, handling 800 tickets/month.
- Total monthly cost = $15,000 + $2,000 = $17,000
- Cost per ticket = $17,000 ÷ 800 = $21.25
- Tickets per agent = 800 ÷ 3 = 267/month (13/day)
📌 Cost per ticket: $21.25 with each agent handling 13 tickets/day. This is within average range — self-service improvements could reduce volume by 20-30%, dropping the cost per ticket significantly.
Why This Matters
Retention driver
Support quality directly correlates with retention. Companies with first-response times under 1 hour see 15-20% higher retention than those responding in 8+ hours. Speed signals that you value the customer's time.
Scaling decisions
Knowing your cost per ticket and tickets per agent helps plan hiring. If tickets grow 10% per month, you can predict exactly when you'll need additional agents and budget accordingly.
Common Mistakes
❌ Optimising for speed over quality
Rushing to close tickets quickly reduces first-response time but increases re-open rates. A ticket "resolved" in 5 minutes that gets re-opened costs more than one resolved properly in 20 minutes. Track first-contact resolution rate alongside speed.
❌ Not investing in self-service
A knowledge base article costs $50-200 to create and deflects hundreds of tickets. At $21/ticket, an article that prevents 100 tickets saves $2,100. Self-service is the highest-ROI support investment.
Industry Benchmarks
| Category | Good | Average | Poor |
|---|---|---|---|
| First response time | Below 1 hour | 1-4 hours | Above 8 hours |
| CSAT | 90%+ | 75-90% | Below 70% |
| Cost per ticket | Below $15 | $15-30 | Above $40 |
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Use free →Frequently Asked Questions
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