What it means
Response time differs from first response time in scope: FRT measures the time to the very first reply; response time tracks every reply in the conversation. Slow mid-conversation responses are just as frustrating to customers as slow initial ones.
Response time is the average elapsed time between any customer message and the next agent or AI reply across all messages in a conversation, not just the opening exchange. A conversation with a 30-second FRT can still have poor response time if the agent takes 4 hours to reply to follow-up messages. Response time is typically reported as median or average per channel, per agent, and per time period (business hours vs. after hours). Median is often more meaningful than average for response time because a few very slow responses skew averages significantly. For ecommerce support, response time expectations vary sharply by channel and context: live chat conversations have a sub-2-minute expectation for every reply; email conversations are usually asynchronous with a 2–4 hour expectation per reply during business hours; social DMs sit somewhere in between. AI agents make response time largely irrelevant for AI-handled conversations — every reply is instantaneous regardless of volume or time of day. For human-handled conversations, response time is a function of agent availability, queue size, and ticket complexity. Response time is related to but distinct from average handle time (total active time on a ticket) and resolution time (total time from ticket creation to close). Response time measures the speed of each exchange; handle time measures total active work; resolution time measures the overall lifecycle.
Why it matters
In a live chat context, slow response time feels like being put on hold — customers disengage, leave the chat, and often submit a frustrated follow-up ticket. In email, slow response time drives anxiety and follow-up messages that add to ticket volume. Fast, consistent response time is a baseline requirement for good support experience in ecommerce.
How Bookbag helps
Instant AI responses across every channel
Bookbag's AI replies in seconds to every customer message — in chat, email, and social — so response time is effectively zero for AI-handled conversations.
Response time reporting by agent
Bookbag tracks per-agent response time for human-handled tickets so managers can identify coaching opportunities and staffing gaps.
SLA integration for response time
Set response time SLA targets per channel and get breach alerts when tickets are approaching the threshold, allowing proactive intervention before SLAs are missed.
Frequently Asked Questions
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