Resolution rate: definition, calculation, and optimization

François
Glossary
- 8 min reading
Published on
January 7, 2026

Your team handles hundreds of tickets every day, but how many are actually resolved? The resolution rate is the metric that answers this crucial question.

In this guide, discover what the resolution rate is, how to calculate it, and, above all, how to improve it for effective customer service.

Resolution rate: definition

The resolution rate measures the percentage of customer requests that have been effectively resolved over a given period. It is a fundamental indicator of the effectiveness of your customer service.

Unlike FCR (First Contact Resolution), which measures resolutions on first contact, the overall resolution rate counts all resolved requests, regardless of the number of exchanges required.

How to calculate the resolution rate

The formula is simple:

Resolution rate = (Number of tickets resolved / Total number of tickets) × 100

Calculation example

Over the course of a week, your team receives 500 tickets:

  • 420 are resolved and closed
  • 50 are currently being processed
  • 30 are awaiting customer information

Resolution rate = (420 / 500) × 100 = 84%

Calculation variants

Depending on your needs, you can calculate:

  • Daily resolution rate: tickets resolved on the same day
  • Resolution rate in the SLA: tickets resolved within the promised time frame
  • Resolution rate per agent: individual performance
  • Resolution rate per channel: email vs. chat vs. phone

What is a good resolution rate?

Benchmarks vary depending on the context:

Type of supportAverage rateExcellent
B2B technical support75-85%90%+
E-commerce customer service85-90%95%+
SaaS Support80-88%92%+

Reasonable target: aim for a resolution rate above 85%, with a target of 90%+ for standard requests.

Resolution rate vs. other KPIs

The resolution rate is part of a set of complementary metrics:

KPIWhat it measuresRelationship with the resolution rate
FCRFirst contact resolutionSubset of the overall rate
CSATCustomer satisfactionPositive correlation
Resolution timeAverage durationQuality vs. quantity
BacklogTickets on holdReverse impact

Causes of a low resolution rate

Before making improvements, identify the obstacles:

Process-related issues

  • Too frequent moves to other teams
  • Dependence on third parties (suppliers, partners)
  • Lack of documentation on procedures

Skill-related issues

  • Insufficient training of agents
  • Lack of technical expertise
  • No access to the right tools

Customer-related issues

  • Incomplete or unclear requests
  • Customer unreachable for follow-up
  • Problems outside the scope of support

How to improve the resolution rate

1. Clarify what a "resolution" is.

Set clear criteria for your team:

  • Has the initial problem been resolved?
  • Has the customer confirmed the resolution?
  • Are there any follow-up actions required?

2. Reduce unnecessary escalations

Each escalation increases the resolution time and can cause a ticket to "fall" into oblivion. Train your Level 1 agents to resolve more cases.

3. Improve initial qualification

A well-qualified ticket from the outset = fewer back-and-forth exchanges = faster resolution.

4. Automate recurring requests

Frequently asked questions can be handled automatically, freeing up time for complex cases.

Klark allows you to automate responses to simple requests while assisting agents with more complex cases.

5. Set up a system for tracking aging tickets

A ticket that has been open for 7 days without any activity? Alert the manager. Create workflows to avoid "forgotten" tickets.

6. Analyze unresolved tickets

Why are some tickets never resolved? Categorize the reasons:

  • Client is no longer responding
  • Outside the scope
  • Unresolved product bug
  • Waiting for a feature

Resolution rate and customer satisfaction

A "resolved" ticket does not necessarily mean a satisfied customer. The quality of the resolution is just as important as the fact that it has been resolved.

For a complete picture, cross-reference your resolution rate with the post-resolution CSAT score. A high resolution rate with a low CSAT indicates "forced" or sloppy resolutions.

Segment the resolution rate

The overall rate hides different realities. Analyze by:

By type of request

  • Simple questions: expected rate 95%+
  • Technical issues: expected rate 85%+
  • Claims: expected rate 80%+

By channel

  • Chat: often faster resolution
  • Email: more time but full resolution
  • Phone: immediate resolution possible

By priority level

P1 tickets (critical) must have a resolution rate close to 100%.

Mistakes to avoid

Mistake #1: Closing without a real resolution

Closing a ticket to "improve statistics" without resolving the issue. The customer will return, dissatisfied.

Mistake #2: Ignoring complex tickets

Difficult cases that drag on cause the rate to drop. Set up a specific process for these tickets.

Mistake #3: Not measuring by segment

An overall rate of 85% may conceal a rate of 60% on claims. Segment!

Mistake #4: Confusing resolution with response

Responding to a ticket is not the same as resolving it. Resolution means that the customer's problem has been effectively dealt with.

Frequently Asked Questions

What is the difference between resolution rate and FCR?

The FCR measures resolutions on first contact only. The overall resolution rate includes all resolutions, even after multiple exchanges.

Should we aim for 100% resolution?

That's unrealistic. Some requests are outside the scope, some customers disappear. Aim for 90%+ on requests within your scope.

How to handle "unsolvable" tickets?

Create a specific status (e.g., "Out of scope," "Awaiting product") to distinguish them from genuine resolution failures.

Should the resolution rate be an individual goal?

With caution. An overly strict goal can lead to closure without real resolution.

Conclusion

The resolution rate is a fundamental indicator, but it should not be analyzed on its own. Combine it with the FCR, resolution time, and customer satisfaction for a complete picture.

The keys to a good resolution rate:

  • Clearly define what a resolution is.
  • Train your agents to resolve more cases independently
  • Automate recurring requests
  • Track aging tickets
  • Analyze the reasons for non-resolution

Want to improve your resolution rate? Discover how Klark can help your team.

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