Customer Service SLAs: Guide, Examples, & Best Practices
When customers reach out for help, they usually have two underlying questions: Will someone help me, and how long will it take?
Service level agreements (SLAs) help answer those questions by setting clear expectations for the support your team provides. They also give support leaders like you and me a way to measure performance, identify opportunities for improvement, and deliver a more consistent customer experience.
But meeting an SLA doesn't always mean you're meeting your customers' needs. Responding quickly doesn’t mean much if the customer still can't get their problem resolved.
In this guide, we'll explore how to create realistic and helpful customer service SLAs, measure their effectiveness, and use them to improve your customer experience.
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What is an SLA?
A service level agreement (SLA) is a commitment between a company and its customers that defines the level of service they can expect to receive.
In customer support, SLAs typically establish expectations for response times, issue resolution, and support availability. These can be contractually-obligated SLAs or just general expectations shared with customers.
At Cars.com, for example, we try to respond to all customer emails within four business hours. This is not contractual, but it’s a commitment we’ve made into an SLA, and the support team is responsible for meeting it week over week.
However, requests come in with different levels of urgency. A customer experiencing a complete service outage needs help faster than someone asking a general question about their account or your product.
That's why many organizations establish different SLA targets based on issue severity, customer type, or support channel. Some SLAs can even be internal service expectations between teams, even when those commitments aren't formally communicated to customers.
Ultimately, effective SLAs provide clarity. Customers understand what to expect, and support teams have measurable standards to help them deliver consistent service.
What are the benefits of customer service SLAs?
When you're leading a support team, having clear expectations can make a big difference in how you build and run your operation effectively. Customer service SLAs help you manage those expectations while creating a better experience for customers and employees.
Salesforce found that 43% of consumers say a poor customer service experience will prevent them from making a repeat purchase. If implementing SLAs helps you organize and deliver a more consistently positive experience, your business will benefit from it.
The key benefits of implementing SLAs are:
They set clear customer expectations. Customers shouldn't have to wonder when they'll hear back from your support team. SLAs establish clear expectations for response and resolution times, helping to reduce uncertainty and build trust.
They help support teams prioritize requests. SLAs help support teams prioritize their work based on factors like issue severity, customer impact, or support level. Managing your support queue isn’t always as simple as first-in, first-out, and SLAs give you a clear framework for prioritization.
They create consistency and accountability. SLAs establish measurable standards that everyone on your support team can work toward. They help ensure customers receive a consistent level of service regardless of which agent handles their request. They also give support leaders a way to evaluate performance and identify where additional coaching or resources may be needed.
They uncover opportunities for operational improvement. One of the most valuable benefits of SLAs is the insight they provide into your support operation. For example, if your team consistently misses response time targets during certain hours, it could indicate a staffing gap, increased ticket volume, or an inefficient process.
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What should a customer service SLA include?
An effective customer service SLA should clearly define what customers can expect from your support team and how those commitments are measured. While the details will vary depending on your business and customers' needs, most SLAs should include a few key components.
Response and resolution time targets
Response time SLAs establish how quickly customers can expect an initial response, while resolution time SLAs define how long it should take to resolve an issue.
For example, at Cars.com, we commit to responding to emails within four business hours and resolving standard support requests within a business day. That’s not always possible with every ticket, which is why in many cases SLAs are framed as percentage targets: “Resolve 85% of customer inquiries within one business day.”
Support hours and availability
Clearly define when your support team is available and whether SLA targets are measured in business hours or calendar hours.
For example, a four-hour response SLA means something very different for a team operating 9 a.m. to 5 p.m. Monday through Friday than it would for one providing 24/7 support.
Don't forget to account for weekends, holidays, and any differences in availability across support channels.
Issue priority levels
Not every request needs the same response time. Establishing priority levels helps your team identify which issues require immediate attention.
For example, you might define three levels:
High: Critical issues preventing customers from using your product or service.
Medium: Issues affecting functionality but with an available workaround.
Low: General questions, updates, or minor issues.
Each priority level can have its own response and resolution targets, similar to the buckets I mentioned above. Most help desk software will allow you to set different SLAs and trigger automations based on ticket priority.
In my experience, there’s one big caveat to using priority levels: you need to use automation to set priority and distribute work accordingly (and you should check your automation regularly to ensure it’s accurate). Without this, high priority issues will just get mixed up with other support tickets, causing escalations and unhappy customers.
Escalation procedures
Define what happens when an issue requires additional attention or risks missing its SLA.
This might look like automatically escalating requests to a supervisor or senior support specialist, sending it to another team, or triggering reminder notifications to the team member responsible for it.
Your customer-facing SLA should explain what customers can expect, while your internal procedures should outline how your team handles common scenarios.
Performance measurement
Lastly, establish how you'll measure whether your team is meeting its commitments. Define when the SLA clock starts and stops, what qualifies as an initial response, and how performance will be calculated.
At Cars.com, we measure team and individual performance by resolution buckets. Our SLA is to resolve 85% of tickets in a business day. The SLA clock is tied to the ticket’s status, so it pauses if we’re waiting on a customer to provide more information or take some kind of action.
Whatever the right target is for you, make sure you have a clear way to track if you’re achieving your SLAs.
Examples of customer service SLAs
Customer service SLAs aren't one-size-fits-all. The right approach depends on your customers' needs, the type of support you provide, and the resources available to your team.
Let's look at three common ways support organizations structure their SLAs.
Support channel-based SLAs
Different support channels come with different customer expectations. Someone starting a live chat typically expects a faster response than someone submitting an email.
We do this at Cars.com, and it helps us to structure the work as well. We have a five minute response SLA on live chat and a four business hour response SLA on emails.
Your support org might be different, but as an example, you might establish response time SLAs that look like this:
Email: Respond within 4 business hours.
Live chat: Respond within 2 minutes.
Social media: Respond within 2 business hours.
These example SLAs recognize that customers use each support channel differently while maintaining consistent expectations.
Priority-based SLAs
Priority-based SLAs establish different response and resolution targets based on the severity of a customer's issue.
For example, a SaaS company might use the following structure:
Critical: A complete service outage requiring a response within 15 minutes and a target resolution time of 2 hours.
High: A major feature is unavailable, with a response time of 30 minutes and a target resolution time of 8 hours.
Medium: An issue with an available workaround that requires a response within 4 business hours and a target resolution time of 2 business days.
Low: A general product question, response time of 1 business day and a target resolution time of 5 business days.
This approach helps support teams focus on the issues with the greatest customer impact without overlooking less urgent requests.
Customer-based SLAs
Some organizations offer different SLAs based on subscription plans, customer agreements, or support packages. For example, a company might offer the following:
Standard: Support available Monday through Friday, 9 a.m. to 5 p.m., with a response time of 1 business day.
Professional: Support available Monday through Friday, 8 a.m. to 8 p.m., with a response time of 4 business hours.
Enterprise: 24/7 support for critical issues, with a response time of 1 hour for priority issues.
This approach allows you to offer different levels of support based on customer needs and service agreements.
And overall, these SLAs are examples rather than industry benchmarks. Your SLA targets should reflect your customers' expectations and what your team can realistically support.
How to set realistic customer service SLA targets
Setting SLA targets is a balancing act. You want to provide excellent service, but you also need to make sure your team has the resources to consistently deliver on those commitments.
Rather than choosing arbitrary targets or copying industry benchmarks verbatim, use your customers' needs and your team's size and performance to determine what's realistic.
Understand your customers' expectations
Start by considering why customers contact your team and how urgently they need assistance.
Have you built such a great self-service experience that customers only contact you for complex issues? Or do you have a large subset of customers who send your team basic questions and update requests?
Customer feedback, satisfaction surveys, and historical support conversations can help you identify what matters most to your customers.
Evaluate your team's current performance
Before establishing new SLAs, look at how quickly your team currently responds to and resolves requests. Review metrics like first response time, resolution time, ticket volume, and your backlog to understand what's achievable.
I’ve seen issues in the past when people rely too much on averages to make these decisions. Your team might have an average response time of three hours, but what it really means is a large portion of customers get answers really quick while the remainder wait significantly longer.
To avoid that mistake, look at the distribution of response and resolution times to help you establish realistic commitments. Using the median response and resolution time is usually safer than using the average.
Account for staffing and capacity
Even the most well-designed SLAs won't work if your team doesn't have the resources to meet them.
Consider again your ticket volume and average handle time, but also include staffing availability and peak support hours. Remember to account for what’s called shrinkage, which includes breaks, meetings, training, and paid time off.
Using peak support hours as an example, you may find your overall staffing is sufficient. However, if most requests arrive during a few busy hours, you could still struggle to meet your SLAs.
Test your targets before making commitments
Lastly, you’ll want to monitor your team’s performance against any proposed SLAs for a few weeks before formally introducing them.
For example, if you're considering a four-business-hour response SLA, track how consistently your team meets that target during normal operations and peak periods.
If performance falls short, investigate whether you need to adjust staffing, improve processes, or reconsider the target. If the team meets the target, you’re good to go.
How to monitor customer service SLAs
Once you've established your SLAs, you'll need a way to track performance and identify opportunities for improvement. Most customer support platforms offer tools for creating SLAs and reporting on them, so check the capabilities of your system.
Here are some tips for monitoring your new SLAs:
Track SLA attainment. SLA attainment measures the percentage of eligible requests that meet your SLAs. For example, if your team responds to 950 out of 1,000 requests within the SLA timeframe, your SLA attainment rate is 95%.
Track performance trends. Overall percentage doesn't always tell the whole story so look at performance across different support channels, priority levels, and times of day. You might discover that your team consistently meets its overall SLA but struggles with high-priority requests or peak support hours.
Investigate missed SLAs. When your team misses an SLA, take the time to understand why. Was there an unexpected increase in ticket volume? Did a request get routed incorrectly? Was your team waiting for assistance from another department? Digging in will help you identify whether the solution involves coaching, staffing, or improving a process.
Measure more than SLA performance. Review SLA performance alongside other customer service metrics, such as customer satisfaction (CSAT) and first contact resolution (FCR). As an example, if your team consistently meets their resolution SLA but customer satisfaction is declining, it may indicate your resolution times are too lofty.
6 customer service SLA best practices
To get the most value from your new SLAs, you need to make sure they're easy to understand, realistic, and focused on delivering a great customer experience.
Here are six best practices to help you make your SLAs more effective.
1. Keep your SLAs simple
Your SLAs should be easy for customers to understand and your team to follow.
Avoid creating too many priority levels, exceptions, or performance targets. While some complexity may be necessary, especially in larger support organizations, overly complicated SLAs can introduce confusion.
Start with a few clear commitments that reflect your customers' needs and then introduce additional detail as your support operation grows.
2. Involve your support team when setting targets
I’m a big fan of asking your frontline support team for help. They understand the day-to-day challenges of helping customers, and they know which requests take longer to resolve, where processes create delays, and what obstacles make their jobs more difficult.
So ask for their input when establishing or adjusting your SLA targets.
Not only can this help you set more realistic expectations, but it also gives your team a sense of ownership over the commitments they're responsible for meeting.
3. Use automation to support your team
Automation can help your team manage SLAs without adding unnecessary manual work.
Depending on your support platform, you may be able to automatically route requests, assign priorities, or alert agents when tickets are approaching their SLA deadlines.For example, you could create a workflow that flags requests that have used 75% of their allotted response time.
Just remember that automation should support your team's judgment, rather than replace it. Give your agents the flexibility to adjust priorities when a customer's situation requires it.
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4. Communicate proactively when delays occur
Even with realistic SLA targets, there’ll be times when your team can't meet an SLA, especially for complex requests that pop up. When that happens, don't leave customers wondering what's going on.
Let them know what's causing the delay, what your team is doing to address it, and when they can expect another update.
You may not always have a resolution time to share, but proactive communication can help maintain trust and reassure customers that their issue hasn't been forgotten.
5. Balance SLA performance with support quality
Meeting an SLA doesn't automatically mean you've delivered a great customer experience. One thing I've learned throughout my career is that performance metrics should reflect the quality of support you're delivering, and not become the sole focus.
When teams become too focused on hitting numbers, it's easy to lose sight of the customer experience. That's why it's important to evaluate SLA performance alongside other customer service metrics like customer satisfaction, first contact resolution, and repeat contacts.
The goal is to provide accountability to metrics without losing sight of what matters most, helping customers.
6. Review and adjust your SLAs regularly
Customer needs and your support operation will change over time. Your SLAs should evolve with them. Periodically review performance, customer feedback, and staffing capacity to determine whether your commitments are still realistic.
If your team consistently exceeds its targets, you may have an opportunity to improve your service commitments even further. If performance is declining, investigate the underlying causes before making changes.
And remember to communicate any changes to customer-facing SLAs clearly, especially when they're part of a formal agreement.
Build customer service SLAs that work for everyone
Effective customer service SLAs do more than establish response time expectations. They help build trust with customers, create consistency across your support team, and identify opportunities to improve your support organization.
The key is to establish realistic commitments based on your customers' needs and your team's capabilities. From there, regularly monitor performance, listen to feedback, and make adjustments as your business evolves.
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Tim Jordan
Tim is a Sr. Manager of Customer Support at Cars.com and a writer for Supported Content. When he’s not busy leading his team, you’ll find him spending time with his wife and two daughters, usually on some Disney-related activity. He also blogs about personal finance at Atypical Finance.
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