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Support Cost Benchmarking

What industry are you in?

We'll compare your metrics against companies in your space.

About this tool

How to read customer support benchmarks the right way

Benchmarks only help if you compare the right metric against the right peer set. Comparing a B2B SaaS support team’s CSAT against a consumer ecommerce team’s CSAT is misleading — different ticket complexity, different customer expectations, different operating models. This tool lets you select your industry, company size, and channel mix, then shows where you sit against peers on the metrics that actually drive cost and customer experience: cost-per-ticket, first response time, full resolution time, CSAT, first-contact resolution, and automation rate.

We pull benchmark data from the major industry reports — Zendesk CX Trends, Klaus AI Quality Report, Surveypal, Talkdesk, Intercom — and normalize them so the comparisons are apples-to-apples. Each metric shows a percentile range (25th, 50th, 75th) so you know whether you’re lagging, matching, or leading. For each metric, we also explain what drives the gap and the typical playbook for closing it — usually some mix of automation, knowledge base investment, and workflow redesign.

  • Industry-segmented benchmarks (SaaS, ecommerce, fintech, healthcare, mobility, more)
  • Company-size cohorts so you compare against true peers
  • Cost, speed, quality, and automation metrics in one view
  • Playbooks for closing the gap on the metrics you lag

Frequently asked questions

Cost per ticket varies more by channel than by industry. Voice tickets average $20 to $40, email $10 to $20, chat $7 to $14, and AI-resolved tickets $0.50 to $2.50. The blended cost for a mature hybrid AI + human team is $4 to $8. Anything above $15 blended suggests room for automation; anything under $3 likely means too much volume is being deflected to self-service without quality measurement.

Strong benchmarks: under 30 seconds for chat, under 30 seconds for voice (answer rate), under 1 hour for email during business hours, under 4 hours for email 24/7. AI agents typically respond in 2 to 5 seconds. If your email FRT is over 12 hours, you’re in the bottom quartile across industries.

CSAT above 90 percent is industry-leading. The average across SaaS and ecommerce is 80 to 85 percent. Financial services and healthcare trend lower (75 to 82 percent) because of regulatory complexity. Companies under 75 percent CSAT usually have either a triage problem (wrong tickets going to wrong people) or a content problem (knowledge base gaps causing repeat escalations).

Top performers automate 60 to 80 percent of total ticket volume with modern AI agents. The 25th percentile sits around 20 percent, the median around 45 percent, the 75th percentile around 70 percent. Industry matters: ecommerce and SaaS lead, fintech and healthcare trail.

Quarterly for cost and headcount metrics; monthly for SLA and CSAT trends. Whenever you launch a new product, channel, or AI program, rebenchmark within 30 days to confirm the change is moving the right metrics.

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