Not All Tickets Cost the Same

A password reset at a SaaS company costs $3-5 to handle. A billing dispute at a bank costs $30-50. A medical records request at a healthcare provider costs $40-60.

The industry you're in determines your baseline more than any tool or process change.

The Benchmarks

E-commerce: $5-12 per ticket. Most inquiries are simple (order status, returns, shipping questions). High volume, low complexity. Automation potential is high because questions are repetitive and answers are factual.

SaaS (simple product): $12-20 per ticket. Mix of billing, how-to, and basic technical questions. Some require product knowledge that's harder to automate. Average handle time runs 8-15 minutes.

SaaS (complex/enterprise): $20-35 per ticket. Integration issues, API troubleshooting, multi-step debugging. Agents need deep technical knowledge. Handle times of 20-45 minutes are common.

Financial services: $20-35 per ticket. Regulation adds overhead. Agents need compliance training. Many interactions require identity verification. Documentation requirements inflate handle time.

Healthcare: $25-40 per ticket. HIPAA compliance, insurance verification, medical terminology, and the emotional weight of health-related interactions all drive costs up. Agents need specialized training.

Telecom: $8-15 per ticket. High volume, moderate complexity. Most issues are billing, service outages, or plan changes. Volume discounts on agent labor bring the per-ticket cost down.

Hospitality: $10-18 per ticket. Booking changes, cancellations, complaints about stays. Seasonal spikes create staffing challenges.

Education: $12-22 per ticket. Financial aid questions, enrollment issues, technical support for learning platforms. Seasonal patterns (enrollment periods) create volume spikes.

What Drives the Differences

Handle time is the biggest factor. A 5-minute ticket costs roughly $3-5 in agent time (at $35-45/hour fully loaded). A 30-minute ticket costs $18-23. The industry determines the average complexity, which determines the average handle time.

Required expertise increases cost. An e-commerce agent needs product catalog knowledge. A healthcare agent needs HIPAA training, medical terminology, and insurance expertise. That expertise costs more per hour.

Compliance overhead adds time. In financial services and healthcare, agents spend time on identity verification, documentation, and compliance checks that don't directly solve the customer's problem. This overhead inflates the per-ticket cost.

Tools and infrastructure matter less than you'd think. The difference between a $50/month tool and a $500/month tool is maybe $1-2 per ticket at 500 tickets/month. Agent time is 70-80% of the total cost per ticket for most teams.

How AI Affects These Numbers

AI has the biggest cost impact in industries with high volume and simple queries. E-commerce is the sweet spot: lots of "where's my order" messages that AI handles perfectly.

In healthcare and financial services, AI helps less because so many tickets require human judgment, compliance checks, and emotional sensitivity. AI can classify and route (reducing the time agents spend on triage), but resolution still needs a person.

Estimated cost reduction from AI by industry:

E-commerce: 40-55% reduction (many tickets fully automatable) SaaS (simple): 25-40% reduction Telecom: 30-45% reduction Hospitality: 25-35% reduction SaaS (complex): 15-25% reduction Financial services: 10-20% reduction Healthcare: 5-15% reduction

Finding Your Number

Pull three data points: total support cost per month (salaries + tools + overhead), total tickets resolved per month, and total agent hours spent on support per month.

Cost per ticket = total cost / total tickets. Simple. If you're above the benchmark for your industry, you're either handling more complex issues than average (check your ticket mix) or your processes need improvement (check handle times and first-contact resolution rates).

If you're below the benchmark, either you're efficient or you're under-investing in support quality. Check customer satisfaction to know which.