What Is Customer Effort Score (CES)? How to Measure and Improve It

When Gartner surveyed over 125,000 customers, they found something that challenged everything support teams believed about loyalty: delighting customers didn't make them stay. Reducing effort did.

That single finding reshaped how the best support organizations measure success. If your team still relies solely on satisfaction surveys to gauge performance, you're missing the metric that actually predicts whether customers stick around or quietly walk away.

Customer Effort Score (CES) measures exactly what it sounds like: how easy or difficult it was for a customer to get their issue resolved. In this guide, you'll learn how CES works, how to calculate it, what good benchmarks look like, and the specific strategies that move the needle, including how AI-powered support tools are making low-effort experiences the default rather than the exception.

Here's what we'll cover:

• What CES is and why it matters more than satisfaction alone

• The formula, survey design, and measurement methodology

• Industry benchmarks and how to interpret your score

• Proven strategies to reduce customer effort

• How AI and automation fit into a low-effort support strategy

What Is Customer Effort Score (CES)?

Customer Effort Score is a service metric that captures how much work a customer had to put in to resolve an issue, complete a transaction, or get an answer to their question. It was originally developed by the Corporate Executive Board (now part of Gartner) in 2010.

CES emerged from research published in the Harvard Business Review showing that effort, not delight, was the strongest predictor of future customer behavior.

The core insight was straightforward. Customers who had to repeat themselves, get transferred between agents, switch channels, or follow up multiple times were far more likely to churn, regardless of whether they said they were "satisfied" at the end.

CES vs. CSAT vs. NPS

Each metric captures a different dimension of the customer experience:

CES doesn't replace CSAT or NPS. It fills a blind spot. A customer can rate their satisfaction as "good" while still feeling frustrated by the hoops they jumped through. CES catches that gap.

Why Effort Matters More Than Delight

The original Gartner research found that 96% of customers who had high-effort experiences became disloyal, compared to only 9% of those with low-effort experiences. Even more telling: reducing effort is four times more effective at driving loyalty than exceeding expectations.

Consider what happened to a mid-sized SaaS company called Relay. Their CSAT scores sat at a healthy 4.2 out of 5 throughout 2024. But churn kept climbing. When they introduced CES surveys, they discovered the problem: customers rated individual agents well, but the overall resolution process, which averaged 2.3 contacts per issue, was exhausting them. Fixing the multi-touch problem dropped churn by 18% in a single quarter, even though CSAT barely moved.

That's the value CES provides. It surfaces friction that satisfaction scores hide.

How to Calculate Customer Effort Score

The CES Survey Question

The standard CES survey uses a single question with a 7-point Likert scale:

"To what extent do you agree with the following statement: [Company] made it easy for me to handle my issue."

The scale runs from: - 1 = Strongly Disagree - 7 = Strongly Agree

Some organizations use a 5-point scale or a simpler "very easy" to "very difficult" format. The 7-point scale is the most widely adopted because it provides enough granularity to detect meaningful changes over time.

The CES Formula

CES = Sum of all response scores / Total number of responses

For example, if 200 customers respond and their scores total 1,080:

CES = 1,080 / 200 = 5.4

On a 7-point scale, scores above 5.0 generally indicate a low-effort experience. Scores below 4.0 signal significant friction.

Alternative Calculation: Percentage Method

Some teams prefer expressing CES as a percentage of customers who found the experience "easy" (scores of 5, 6, or 7 on the 7-point scale):

CES % = (Number of responses scoring 5-7 / Total responses) x 100

This approach makes CES easier to communicate to executives. "78% of customers found their experience easy" resonates more clearly than "our CES is 5.4."

Want to see how reducing resolution time directly impacts effort scores? Explore how faster mean time to resolution connects to lower customer effort.

When and Where to Measure CES

Best Touchpoints for CES Surveys

CES works best immediately after a specific interaction, not as a general relationship survey. The most valuable touchpoints include:

• Post-ticket resolution: Immediately after closing a support ticket

• After self-service interactions: When a customer uses your knowledge base, FAQ, or chatbot

• Post-onboarding: After completing account setup or product configuration

• After a purchase or upgrade: When the transaction process itself matters

• Following a product return or refund: High-friction moments that shape loyalty

Timing Matters

Send CES surveys within 24 hours of the interaction. Waiting longer introduces recall bias, where customers forget specific friction points and default to their general sentiment about your brand.

The best practice is triggering surveys automatically as soon as a ticket is marked resolved or a self-service session ends. Manual survey distribution creates inconsistent data and lower response rates.

Sample Size and Frequency

Aim for a minimum of 100 responses per channel or touchpoint before drawing conclusions. For organizations handling thousands of tickets monthly, segment CES by:

• Channel

  (email, chat, phone, self-service)

• Issue type

  (billing, technical, account management)

• Agent or team

• Customer tier

  (enterprise vs. SMB)

• Resolution method

  (first contact vs. multi-touch)

This segmentation reveals where effort concentrates, which is far more useful than a single company-wide number.

CES Benchmarks: What's a Good Score?

Industry Benchmarks

CES benchmarks vary by industry and channel, but general guidelines on a 7-point scale include:

Channel-Specific Expectations

Different channels carry different effort expectations:

• Self-service/AI chat: Customers expect the lowest effort here. CES below 5.5 suggests your self-service tools need work.

• Live chat: Typically scores 5.0-6.0 in well-run operations. Speed and first-contact resolution drive the score.

• Email: Usually 4.5-5.5. The inherent back-and-forth of email makes it harder to score high.

• Phone: Wide range (4.0-6.0). Transfers and hold times are the biggest effort drivers.

Track Trends, Not Snapshots

A single CES reading tells you very little. The power is in the trend. A CES that moves from 4.8 to 5.3 over three months tells a clear story of operational improvement. Track CES weekly or monthly and correlate changes with process updates, tool deployments, or staffing changes to understand what drives movement.

7 Proven Strategies to Reduce Customer Effort

1. Resolve Issues on First Contact

Nothing drives effort higher than making customers reach out multiple times for the same problem. First response time matters, but first-contact resolution rate matters more for CES.

Audit your most common multi-touch tickets. Usually, a handful of issue types account for the majority of repeat contacts. Fix those specific workflows first.

2. Eliminate Channel Switching

When a customer starts on chat, gets told to email, then gets asked to call, every switch multiplies their perceived effort. Map your most common customer journeys and identify points where customers are forced to change channels.

A fintech startup called Ledger learned this the hard way. Their chatbot handled billing questions but redirected refund requests to email. Customers rated the chatbot interaction as "easy" but their overall CES was 3.9. Once they gave the chatbot authority to process refunds directly, CES jumped to 5.6 within six weeks.

3. Reduce Repetition

Asking customers to re-explain their issue to every new agent is one of the fastest ways to increase effort. This happens most often during escalations and transfers.

Ensure your support platform passes full conversation context when routing tickets. Agents should see the complete history, including what the customer already tried, before they respond.

4. Invest in Self-Service That Actually Works

Effective self-service is the single most powerful lever for reducing customer effort. When customers can resolve issues themselves without waiting, CES improves dramatically.

But "self-service" doesn't mean dumping a knowledge base on your website and hoping for the best. Effective self-service requires:

• Search that understands natural language queries

• Articles structured around common customer questions

• AI-powered recommendations that surface relevant content proactively

• Clear escalation paths when self-service falls short

Companies that invest in ticket deflection through intelligent self-service consistently report the highest CES improvements.

5. Simplify Your Processes

Look at your support workflows from the customer's perspective. How many steps does it take to submit a ticket? How many fields do they need to fill out? How long is the verification process?

Every unnecessary step adds effort. Audit and strip friction from:

• Ticket submission forms (fewer fields = lower effort)

• Authentication and verification processes

• Escalation procedures

• Follow-up requirements

6. Proactive Communication

Don't wait for customers to chase you. When there's a known issue, outage, or delay, reach out first. Proactive communication eliminates the effort of customers having to contact you to ask "what's happening?"

Set up automated status updates for open tickets. Even a simple "We're still working on this, here's what we know" message reduces perceived effort significantly.

7. Use AI to Handle Routine Requests Instantly

Routine questions like password resets, order status checks, billing inquiries, and account updates don't need a human agent. They need instant, accurate answers.

AI-powered support tools can resolve these requests in seconds, around the clock, without any wait time. The key is accuracy. An AI that gives wrong answers creates more effort than no AI at all, because the customer then has to contact a human agent to fix both the original problem and the AI's mistake.

This is where the choice of AI tooling matters. Tools like IrisAgent are built with hallucination prevention specifically because inaccurate AI responses are the fastest way to spike customer effort. When the AI resolves the issue correctly on the first try, CES scores reflect it immediately.

How AI and Automation Transform Customer Effort

The Effort Equation Has Changed

Traditional approaches to reducing effort focused on training agents, improving scripts, and optimizing routing rules. These still matter. But AI has introduced a fundamentally different lever: eliminating the need for customers to contact support at all.

Here's how AI impacts each component of the effort equation:

Speed: AI agents respond instantly. No queue times. No business-hours limitations. For simple requests, the interaction takes seconds rather than minutes or hours.

Accuracy: When grounded in verified knowledge bases (not just general language models), AI provides consistent, correct answers. This eliminates the back-and-forth that drives effort scores down.

Context retention: AI systems can access the full customer history, account details, and previous interactions before the customer says a word. No repetition needed.

Channel flexibility: AI operates identically across chat, email, and voice. Customers get the same low-effort experience regardless of how they reach out.

Real Results: AI's Impact on CES

When organizations deploy AI-powered support with proper safeguards, the CES impact is measurable:

Take the example of a healthcare SaaS company that implemented AI automation for their top 15 ticket categories. Before deployment, their CES averaged 4.3, with "having to explain my issue multiple times" cited as the top friction point. After three months with AI handling initial triage and resolving 40% of incoming tickets automatically, CES climbed to 5.8. The remaining 60% of tickets that reached human agents also saw improvement because agents had full AI-gathered context before engaging.

The lesson isn't that AI replaces human support. It's that AI removes the effort from interactions that never needed to be effortful in the first place, while making human-handled interactions smoother through better context management and routing.

CES Survey Best Practices

Survey Design Tips

Keep your CES survey short and focused:

1. Lead with the standard CES question

   (7-point agree/disagree scale)

2. Add one open-ended follow-up

   : "What could we have done to make this easier?" This qualitative data is where the actionable insights live.

3. Optional demographic context

   : Include the ticket ID, channel, and issue category as metadata, not as questions the customer has to answer.

Avoid the temptation to add multiple questions. Every additional question reduces completion rates. A CES survey should take under 30 seconds to complete.

Closing the Loop on Low Scores

Any CES response of 3 or below on a 7-point scale should trigger a follow-up workflow:

• Immediate

  : Flag the ticket for review

• Within 24 hours

  : Reach out to the customer to understand what went wrong

• Within 1 week

  : Identify whether the issue is systemic or isolated

• Monthly

  : Aggregate low-CES patterns and feed them into process improvements

Closing the loop turns individual complaints into operational improvements. It also signals to customers that their feedback matters, which itself reduces future effort by building trust.

Combining CES With Other Metrics

CES is most powerful when analyzed alongside:

• Average Handle Time (AHT)

  : Low AHT with high CES means your team resolves issues quickly and easily. Low AHT with low CES might mean agents are rushing and not actually solving the problem.

• First Contact Resolution (FCR)

  : The strongest correlate with CES. Improving FCR almost always improves CES.

• CSAT

  : Compare CES and CSAT on the same tickets. Gaps reveal where customers are satisfied with agents but frustrated with processes.

• Churn rate

  : Track whether low-CES customers churn at higher rates. This validates CES as a leading indicator for your specific business.

Common CES Mistakes to Avoid

Surveying too late: Sending a CES survey three days after resolution measures memory, not effort. Trigger surveys immediately.

Ignoring segmentation: A company-wide CES of 5.2 might hide the fact that phone support scores 3.8 while chat scores 6.1. Always segment.

Treating CES as a vanity metric: If low scores don't trigger process changes, you're collecting data for nothing. Build feedback loops that connect CES data to operational decisions.

Focusing only on support: CES applies to any customer interaction, including onboarding, billing, product setup, and returns. Expand measurement beyond the support team.

Comparing across industries blindly: A 5.0 in enterprise B2B software means something very different from a 5.0 in consumer retail. Benchmark against your own trends first, industry averages second.

Start Measuring and Reducing Customer Effort

Customer Effort Score gives you a direct window into the friction your customers experience, the kind of friction that satisfaction surveys often miss entirely. The research is clear: reducing effort drives loyalty more reliably than any delight strategy.

Here's where to start:

1. Deploy CES surveys

   at your top three customer touchpoints within the next two weeks

2. Establish a baseline

   with at least 100 responses per touchpoint

3. Segment immediately

   by channel, issue type, and resolution method

4. Identify your top three effort drivers

   from open-ended responses

5. Fix the highest-impact friction points first

   , starting with anything that forces repeat contacts or channel switches

For teams looking to make the biggest CES gains with the least internal effort, AI-powered support automation is the fastest path. IrisAgent helps support teams resolve tickets accurately on the first try, across every channel, without hallucinated answers that create more work for everyone.

Book a Demo with IrisAgent to see how AI automation can cut customer effort and improve your CES.