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First Response Time (FRT)

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First Response Time measures how long a customer waits between sending their initial message and receiving the first meaningful reply from your team or an AI agent.

What Is First Response Time?

First Response Time (FRT) is the elapsed time between when a customer sends their first message and when they receive the first substantive reply — not an auto-acknowledgment, but an actual answer or meaningful next step. Think of it like calling a restaurant to make a reservation: the ring time before someone picks up and says something helpful is your FRT. Automated "we received your message" confirmations do not count because they do not advance the conversation.

FRT is typically measured in seconds for live chat and messaging, minutes for social media, and hours for email. The metric can be tracked as an average, a median (which removes the distortion of extreme outliers), or as a percentile target (for example, 90% of conversations answered within 60 seconds).

Why It Matters for Your Business

Speed of first response is one of the strongest predictors of customer satisfaction and conversion. When a potential buyer messages your team with a pre-purchase question, every minute of silence increases the likelihood they leave and buy from a competitor. For existing customers with support issues, a fast first response signals that your company values their time, even if the full resolution takes longer.

Beyond customer perception, FRT is a leading indicator of operational health. Rising FRT often signals understaffing, poor routing, or agents overwhelmed with too many concurrent conversations. Tracking it over time gives managers early warning before satisfaction scores start to decline.

Industry benchmarks vary by channel, but as a general guide: live chat expectations are under one minute, social messaging under five minutes during business hours, and email under four hours. Teams that consistently beat these benchmarks tend to see higher CSAT scores and better retention rates.

Key Components

  • Clock start — The moment the customer sends their first message (not when the ticket is created internally).
  • Clock stop — The moment an agent or AI sends a substantive reply. Auto-responders and canned acknowledgments should be excluded.
  • Business hours filter — Many teams measure FRT only during staffed hours so that messages arriving at 2 AM do not skew the metric.
  • Channel segmentation — FRT should be tracked per channel because customer expectations differ between live chat and email.
  • Trend analysis — A single snapshot is less useful than a weekly or monthly trend that reveals whether performance is improving or degrading.

Best Practices

  • Set specific FRT targets for each channel rather than a single company-wide goal. A 30-second target for live chat and a 2-hour target for email is more actionable than a blended average.
  • Use AI chatbots to deliver an instant, context-aware first response for common questions, giving human agents time to handle complex issues.
  • Configure routing rules so conversations are assigned immediately rather than sitting in an unassigned queue waiting for an agent to claim them.
  • Review FRT by time of day to identify staffing gaps — if FRT doubles between 12 PM and 1 PM, stagger lunch breaks.
  • Distinguish between first response and full resolution time. Both matter, but improving FRT is often the faster win because it requires process changes rather than technical solutions.

How Skode Helps

Skode Flow tracks first response time automatically across every connected channel, with real-time dashboards that break down FRT by agent, team, and channel. Combined with AI-powered auto-responses and smart routing, teams using Flow can dramatically reduce the time customers spend waiting. See Skode Flow analytics.

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