First response time: definition, calculation, and optimization

James Rebours
Glossary
- 8 min reading
Published on
January 7, 2026

Your customer has just sent a message. How long will they wait before receiving a response from you? That's exactly what first response time measures.

This indicator is crucial because it defines the first impression of your customer service. In this guide, discover how to measure, interpret, and, above all, optimize it.

First response time: definition

First response time (FRT) measures the time between when a customer submits a request and when they receive the first response from an agent.

Please note: this is the first human response, not an automatic acknowledgment of receipt. The customer wants to feel that a real person is taking care of them.

This KPI is often included in SLAs (Service Level Agreements) because it represents a concrete commitment to customers.

How to calculate first response time

The formula is simple:

Average first response time = Sum of first response times / Number of tickets

Calculation example

Over the course of a day, you handle 5 tickets with the following first response times:

  • Ticket 1: 15 minutes
  • Ticket 2: 45 minutes
  • Ticket 3: 30 minutes
  • Ticket 4: 60 minutes
  • Ticket 5: 10 minutes

Average FRT = (15 + 45 + 30 + 60 + 10) / 5 = 32 minutes

Median vs. Mean

The average can be skewed by a few tickets with very long times. The median often gives a more realistic view of the typical customer experience.

What is a good first response time?

Expectations vary considerably depending on the channel:

CanalCustomer wait timeGood FRTExcellent
Live chatImmediate< 1 minute< 30 seconds
Social media1-2 hours< 1 hour< 30 minutes
Email24 hours< 4 hours< 1 hour
PhoneImmediate< 30 seconds< 20 seconds

Important: these benchmarks are changing. Customers are becoming increasingly demanding, particularly on digital channels.

Why first response time is crucial

1. First impressions matter

The FRT sets the tone for the interaction. A customer who waits two hours for a first "hello" is already frustrated before you've even started to help them.

2. Impact on satisfaction

Studies show that a quick initial response significantly increases customer satisfaction, even if the resolution takes time.

3. Reduction in reminders

A customer who does not receive a prompt response will follow up, creating multiple tickets for the same issue and overloading your team.

4. Competitive advantage

In a fast-paced world, being the most responsive in your industry is a powerful selling point.

Business hours vs. calendar hours

An important distinction in the calculation:

Calendar hours (24/7)

The clock is always ticking, including weekends and nights. More demanding, but reflects the customer's real experience.

Business hours

The timer only runs during your opening hours. More realistic for sizing your teams.

Recommendation: communicate with your customers in business hours ("response within 4 business hours") but also measure in calendar time to understand the actual experience.

How to reduce first response time

1. Automate triage

A system that automatically categorizes and prioritizes tickets allows agents to handle the most urgent ones first.

2. Use smart pre-recorded responses

Customizable templates allow you to respond faster while maintaining a human touch.

3. Size your teams correctly

Analyze your volume peaks and adjust staffing levels. Not enough agents during peak hours = FRT skyrockets.

4. Implement AI assistance

AI can suggest responses to agents or even automatically answer simple questions.

Klark drastically reduces first response time by providing instant, accurate answers.

5. Create SLA alerts

Automatic notification when a ticket approaches the SLA limit. The agent or manager can intervene before it is exceeded.

6. Develop self-service

A good knowledge base reduces the number of tickets, thereby reducing the workload and the FRT on the remaining tickets.

First response time per channel

Email

The most "tolerant" channel, but expectations are decreasing. Aim for 2-4 hours in B2B, less than 1 hour in premium B2C.

Live chat

No tolerance. More than 2 minutes = the customer leaves. AI is almost essential to maintain this channel.

Phone

The waiting time in line is equivalent to the FRT. After 30 seconds, frustration sets in.

Social media

Public = more pressure. A comment that goes unanswered for hours, everyone sees it.

Mistakes to avoid

Mistake #1: Confusing an automatic response with a first response

"We have received your message" is NOT an initial response. The customer expects real support.

Mistake #2: Sacrificing quality for speed

A quick response that doesn't answer the question is more frustrating than a slightly longer wait.

Mistake #3: Ignoring variations

An average FRT of 2 hours can hide peaks of 8 hours on Monday mornings. Analyze the distributions, not just the averages.

Mistake #4: Not communicating deadlines

If your actual FRT is 4 hours, tell the customer. An informed wait is less frustrating than uncertainty.

First response time and other KPIs

The FRT is part of an ecosystem of metrics:

KPIRelationship with the FRT
Resolution timeA good FRT does not guarantee a quick resolution.
CSATStrong positive correlation
Ticket volumeMore volume = FRT increases without adjustment
Occupancy rateOverloaded agents = degraded FRT

Frequently Asked Questions

Does the initial response time include weekends?

It depends on your definition. Specify "business hours" or "calendar hours" in your SLAs.

What is the difference compared to the average response time?

The FRT only measures the first response. The average response time includes all responses in the conversation.

How can we improve the FRT without recruiting?

Automation, improved sorting, response templates, and self-service are your main tools.

Is a different FRT required for each type of customer?

Yes! Premium customers can have a shorter guaranteed FRT. This is a common selling point in B2B.

Conclusion

First response time is your first opportunity to show your customers that they matter. It is a simple but powerful indicator.

The keys to a good FRT:

  • Set realistic goals for each channel
  • Automate triage and simple responses
  • Size your teams according to peak volumes
  • Communicate deadlines to your customers
  • Measure in working hours AND calendar hours

Need to reduce your first response time? Discover how Klark can help.

You might like

Klark blog thumbnail
- 5 MIN READING 

First response time: definition, calculation, and optimization

Discover First Response Time: definition, calculation, benchmarks by channel, and tips for reducing this essential customer service KPI.
Klark's author
Co-founder and Co-CEO
Klark blog thumbnail
- 5 MIN READING 

Chatbot: definition, types, and best practices

Discover chatbots: definition, types (rules, NLP, generative AI), use cases for customer service, KPIs to track, and best practices for success.
Klark's author
Co-founder and Co-CEO
Klark blog thumbnail
- 5 MIN READING 

Help Desk: definition, features, and comprehensive guide

Discover the help desk: definition, essential features, differences from the service desk, and a guide to choosing the right solution for your needs.
Klark's author
Marketing Manager
Klark blog thumbnail
- 5 MIN READING 

SLA (Service Level Agreement): definition, examples, and best practices

Learn about SLAs (Service Level Agreements): definition, common types of SLAs, how to define and measure them, and best practices for complying with them.
Klark's author
Marketing Manager
Klark blog thumbnail
- 5 MIN READING 

CES (Customer Effort Score): definition, calculation, and best practices

Discover the CES (Customer Effort Score): definition, calculation formula, interpretation, differences with CSAT and NPS. Complete guide to measuring and reducing customer effort.
Klark's author
Co-founder and Co-CEO
Klark blog thumbnail
- 5 MIN READING 

Churn: definition, calculation, and reduction strategies

Discover churn: definition, calculation formulas, benchmarks by sector, main causes, and concrete strategies to reduce customer attrition.
Klark's author
Co-founder and Co-CEO