What is reopen rate?

Why it matters

Every support metric that can be gamed is disciplined by reopen rate. Fast handle times, high resolution rates, and impressive automation numbers all become suspect if reopens rise alongside them. It is the metric that makes the others trustworthy, and almost nobody puts it on the dashboard.

What to know

• Count cross-channel reopens. A resolved chat followed by an email about the same issue is a reopen.
• Set a window, usually seven to fourteen days, and keep it fixed so the number stays comparable.
• Reopen rate by topic points precisely at where your documentation or process is failing.
• Reopens on AI-resolved contacts should be tracked separately from reopens on human-resolved ones.
• A low reopen rate combined with low satisfaction usually means customers gave up rather than came back.

How to calculate it

An example

Example: an automation programme reports resolution rate rising from fifty to seventy percent. Reopen rate rises from four to fifteen percent over the same period. The real resolution rate barely moved and the customer experience got worse.

Common mistakes

• Not tracking reopens at all, which is the most common state
• Ignoring reopens that arrive on a different channel
• Changing the measurement window and comparing across the change
• Reading reopen rate without satisfaction, which hides silent give-ups

Questions