Customer service cost-to-serve benchmark
What does each resolved ticket cost you, and how much could AI resolve? We benchmark your cost per contact, channel mix and resolution rates against Gartner's cost benchmarks, and size the share of your volume AI could resolve end to end.
What the market looks like.
| KPI | Market reference | Best-in-class / note | Source |
|---|---|---|---|
| Cost per assisted contact | $13.50 median | — | 1 |
| Cost per self-service contact | $1.84 median | — | 1 |
| Live volume resolvable in self-service | 20–40% | — | 2 |
| Customers fully resolving via self-service | 9% | — | 2 |
| Agent productivity with AI assistance | +14% average | +34% for novice agents | 3 |
Gartner predicts agentic AI will autonomously resolve 80% of common customer service issues by 2029, cutting operational costs by 30%4. MarketsandMarkets sizes AI for customer service at USD 12.06 billion in 2024, rising to USD 47.82 billion by 20305.
Is this benchmark for you?
Industries
Retail & e-commerce · SaaS & tech · Hospitality · Financial services & insurance · Logistics & transport
Buyer
COO & operations · Customer service
Company profile
1,000+ tickets a month
You need it if…
- The same questions are answered every day
- Backlog and response times spike in peak season
- Hiring agents is the only way you scale support
What we measure. What you get.
What we measure
- Cost per contact and per resolution, by channel
- Contact reasons: share that is repeat and rule-based
- First-contact resolution and reopen rate
- Agent handle time and backlog
- CSAT by channel and intent
What you receive
- Your cost-to-serve vs Gartner medians
- Share of volume AI could resolve, by intent, with the dollar value
- Knowledge gaps blocking self-service
- Roll-out plan with a human handover design
The full customer service cost-to-serve study.
Planned contents. Everything behind this page, in depth: the numbers by sector and company size, what top performers do differently, and a model to price your own gap.
- Market size and growth, every analyst estimate reconciled
- KPI quartiles by company size, sector and region
- Original survey data from decision-makers
- Cost-of-the-gap model with worked examples
- How top-quartile companies close the gap
- Solution landscape and a 12-month roadmap
- Self-assessment scorecard
Four steps. No disruption.
Intake call
30 minutes with a senior engineer to agree scope, KPIs and the data we need.
Data, read-only
Exports or read-only access to the systems involved. Nothing is changed.
Analysis
Your numbers placed against the published market references, KPI by KPI.
Readout
Your position, the cost gap in dollars and a costed roadmap to close it.
Reserve this report.
Reserve the customer service cost-to-serve industry report, or ask for a custom benchmark on your own data.
- Your cost-to-serve vs Gartner medians
- Share of volume AI could resolve, by intent, with the dollar value
- Knowledge gaps blocking self-service
Sources
- 1Gartner, Benchmarks to Assess Your Customer Service Costs (Feb 2024). gartner.com/en/documents/5164231
- 2Gartner press release, “Only 9% of Customers Report Solving Their Issues Completely via Self-Service” (25 Sep 2019). gartner.com/en/newsroom/press-releases/2019-09-25-gartner-says-only-9--of-customers-report-solving-thei
- 3Brynjolfsson, Li & Raymond, “Generative AI at Work”, NBER Working Paper 31161 (5,179 support agents). nber.org/papers/w31161
- 4Gartner press release, agentic AI to resolve 80% of common customer service issues by 2029 (5 Mar 2025). gartner.com/en/newsroom/press-releases/2025-03-05-gartner-predicts-agentic-ai-will-autonomously-resolve-80-percent-of-common-customer-service-issues-without-human-intervention-by-20290
- 5MarketsandMarkets, AI for Customer Service Market (USD 12.06B 2024 → USD 47.82B 2030). marketsandmarkets.com/PressReleases/ai-for-customer-service.asp