What is deflection rate?

Deflection rate, explained

Deflection is the support team's view of automation: every question handled by a bot or article is one fewer ticket to answer. Deflection rate turns that into a percentage, and it is often used to justify the cost of a chatbot or help centre.

The weakness is in what counts as deflected. Many tools count any conversation that did not become a ticket. That includes customers who got the right answer, but also customers who gave up, went to a competitor, or came back through email the next day. Those are not savings; they are hidden failures.

To make deflection meaningful, pair it with signals of success: repeat contacts on the same topic within a few days, satisfaction ratings on bot conversations, and human review of a sample of deflected chats. If deflection rises while repeat contacts also rise, customers are being blocked rather than helped.

Deflection is also sensitive to the mix of questions. Easy product questions inflate the rate; a small number of failed refund conversations can matter more than hundreds of answered “what are your opening hours” questions.

How to measure it

Report it next to repeat-contact rate and CSAT on bot conversations, and state how your tool defines a deflected interaction.

Common mistake

How SuperBot relates

SuperBot's analytics report resolution rate, CSAT, sentiment and knowledge gaps rather than a standalone deflection figure, and every handed-off chat keeps its full transcript in the shared inbox.

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Frequently asked questions

Related terms

• Ticket deflection vs resolutionTicket deflection means a customer question was handled without reaching a human agent. Resolution means the customer's problem was actually solved. Every resolved self-service conversation is deflected, but not every deflected conversation is resolved: customers who give up or come back later also count as deflected, which is why deflection alone overstates success.
• Resolution rateResolution rate is the percentage of customer conversations or tickets that end with the customer's issue solved. For AI support, it usually means conversations the bot resolved without a human. Because vendors define “resolved” differently, the number is only meaningful when you know the definition behind it and check it against repeat contacts and satisfaction.
• Self-service supportSelf-service support lets customers find answers and complete tasks on their own, without contacting a support agent, using tools such as a help centre, FAQs, order tracking pages, account settings and AI chat. Done well, it is faster for customers and cheaper for businesses; done badly, it becomes a barrier between customers and help.
• Customer satisfaction score (CSAT)Customer satisfaction score (CSAT) measures how satisfied customers are with a specific interaction, usually from a one-question survey such as “How satisfied were you with this conversation?” on a 1–5 scale. CSAT is the percentage of respondents who choose the top ratings, typically 4 or 5, out of everyone who responded.
• First contact resolution (FCR)First contact resolution (FCR) is the percentage of customer issues fully resolved in the first interaction, with no follow-up, transfer or repeat contact needed. It is one of the most customer-centred support metrics because having to contact a business again about the same problem is a common source of frustration.