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Customer service metrics

What is average response time?

Average response time is the average time a customer waits for each reply from a business across a conversation, not just the first one. It is calculated by adding up the wait before every business reply and dividing by the number of replies. It shows whether conversations keep moving after the first answer.

How to calculate average response time

For every customer message that gets a reply, measure the gap until that reply, then average all the gaps for the period. A conversation with a two-minute first reply that then waits a day for the second answer has a fast first response time but a poor average response time.

Averages are skewed by outliers, so many teams also look at the median. Exclude internal notes and automatic acknowledgments, and decide whether nights and weekends count. Email usually runs slower than chat or text, so compare each channel against itself.

Illustrative example

Example: an accounting firm in tax season

In March, an accounting firm’s email threads with clients get slower with each exchange as staff juggle returns. The first reply comes the same day, but follow-up answers about which documents to send take two or three days. Tracking average response time per thread reveals the slowdown that first response time alone hides. This scenario is illustrative.

Keeping replies moving in InsertChat

InsertChat’s assistant replies to every message in a conversation, not only the first, on calls, chat, texts, and WhatsApp. For email, it can draft each reply for review or send automatically with a delay and a business-hours option, while complaints, payments, and legal topics wait for your team.

Conversations waiting on a person are marked needs-you, and queues show what is waiting for your reply. See the accounting firm setup.

Related InsertChat pages

Related terms

Full glossary ↗

Average response time: common questions

Plain answers for small businesses

First response time measures only the wait for the first reply. Average response time includes every reply in the conversation, so it shows whether follow-ups stall.

Median is more robust when a few conversations wait unusually long. Track both, and investigate the slow outliers rather than letting them hide in an average.

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