What is ticket deflection rate?
Ticket deflection rate is the percentage of potential support inquiries that are resolved by self-service resources (chatbot, help center, FAQs, community) without ever reaching a human agent. It measures how much load your knowledge base and automation actually take off the support team.
How do you calculate ticket deflection rate?
Deflection rate % = (inquiries resolved via self-service / total inquiries) x 100. If 6,500 of 10,000 monthly inquiries are resolved by your chatbot or help center, the deflection rate is 65%. Multiply the deflected ticket count by the difference in cost per ticket (agent vs deflected) to get the dollar savings.
What is a good ticket deflection rate?
Industry observations put a healthy deflection rate at 30-50%, with best-in-class self-service operations clearing 50-70%. Below 20% usually means the help center is incomplete, hard to find, or not surfaced inside the support flow. Numbers vary by product complexity, so use these as directional rather than strict targets.
How does a chatbot improve ticket deflection?
A chatbot lifts deflection by answering common questions in-channel before a ticket is created, by routing repeat questions to the right help-center article, and by capturing intent so simple flows (status checks, password resets, refund eligibility) never become tickets. The deflection rate moves the most when the bot is wired into your knowledge base, not when it answers from a script.
What's the difference between deflection rate and resolution rate?
Deflection rate measures how many inquiries never reached an agent at all (self-service caught them). Resolution rate measures how many of the tickets that did reach support were resolved successfully. Deflection lowers volume; resolution measures quality on what's left.