What Is a Good Reopen Rate?
A good reopen rate is in the low single digits, ideally under 5 percent. Reopen rate is the percentage of resolved or closed tickets that a customer reopens because the fix did not stick. It is the single most reliable honesty check on AI support, because you can inflate deflection, containment, and auto-resolution by closing tickets aggressively, but you cannot hide the customers who come back.
Why reopen rate is the lie detector
Every other resolution metric can be gamed by closing tickets early. Reopen rate cannot, because it measures what happened after the close. A confidently wrong AI answer will close a ticket that immediately springs back to life, so a rising reopen rate is the earliest signal that automation is closing tickets it should have escalated.
Pair it with a recontact window
The strongest version of this metric watches recontact over a fixed window, commonly 72 hours. A customer who returns about the same issue within three days did not get a resolution, no matter what the close status said. Segmenting reopen rate to AI-handled tickets tells you specifically whether the automation is trustworthy.
How Resolve keeps it low
Resolve treats reopen rate as the north-star honesty metric and displays it beside auto-resolution and deflection. Because Reva only auto-resolves grounded answers above the confidence threshold and escalates everything else as a decision card, resolutions are far less likely to bounce. When a topic starts driving reopens, it surfaces as a knowledge base gap to fix rather than a number to bury.