Free tool

Ticket Deflection Calculator

How much would you save if AI handled 40% of your support tickets instead of a human? Plug in your numbers and find out.

Industry average: $15.56. SaaS: $18-35. E-commerce: $3-6.

No self-service: 0-10%. Basic KB: 15-25%. AI chatbot: 30-50%.

AI chatbot: 30-50%. Advanced AI: 50-70%. Best-in-class: 70-85%.

Your savings

$4,500
saved per month
$54,000
saved per year
Current deflected100 tickets/mo
Target deflected400 tickets/mo
Additional deflected300 tickets/mo

How the math works

Deflection Rate = Self-Service Resolutions / Total Support Attempts x 100
Monthly Savings = Additional Deflected Tickets x Cost Per Ticket
= (400 - 100) x $15
= 300 x $15 = $4,500/month

Deflection rate benchmarks

ChannelTypical deflection rate
Basic FAQ page5-15%
Knowledge base (static)15-25%
Rule-based chatbot10-30%
AI chatbot (NLP-powered)30-50%
Advanced AI agent (2025+)50-85%
Self-service portal (well-designed)40-60%

Industry average deflection rate: 23% (source: multiple industry reports). Gartner predicts agentic AI will resolve 80% of common issues by 2029.

Cost per ticket by industry

IndustryCost per ticket
Retail / E-commerce$2.70 - $5.60
IT Help Desk (internal)$6 - $40
SaaS$18 - $35
Finance / Banking$15 - $30
B2B support$30 - $60
Healthcare$50 - $60
Cross-industry average$15.56
Self-service resolution$0.10 - $2.37

Sources: MetricNet, Gartner, LiveChatAI, HDI. Self-service costs 7.3x less than agent-assisted support (Gartner).

How to improve your deflection rate

Audit your ticket queue. Pull 3-6 months of data. The top 10-15 request categories by volume are your deflection targets. Password resets, order tracking, billing questions, and how-do-I queries are almost always deflectable.

Build comprehensive self-service content. Cover your top categories with knowledge base articles. Write for scanning, not reading. Add screenshots.

Deploy AI-powered chatbots. Rule-based bots cap out at 20-30%. NLP/LLM-powered bots reach 40-60%+. The quality of the AI model matters enormously. Supp classifies messages into 315 intents at 92% accuracy for $0.20/message.

Surface help proactively. Show contextual help before customers submit tickets. Suggest relevant articles in the ticket form. Use in-app tooltips for common friction points.

Measure from day one. Track deflection rate, resolution rate, and CSAT together. Deflection without satisfaction is just frustration.

Want to see what Supp would deflect for your team?

315 intents, 92% accuracy, $0.20 per classification. No monthly fees.

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