Customer effort score (CES): what it is and how to measure it
CES measures how hard it was for a customer to get something done. Here is the standard question, the formula, benchmarks, and how to act on the results.
Customer effort score (CES) is a single-question metric that measures how much effort a customer had to spend to get something done, such as resolving a support issue, completing onboarding, or making a purchase. You calculate it by asking customers to rate the ease of an interaction on a scale, then averaging the responses. A higher score means a lower-effort, smoother experience.
The core idea is simple: the harder you make customers work, the more likely they are to leave. CES turns that friction into a number you can track, compare, and act on.
This guide covers what CES is, the standard question and scale, when to send it, how to calculate the score, how CES compares to CSAT and NPS, realistic benchmarks, and what to do once you have the data.
What is customer effort score?
Customer effort score is a transactional experience metric. It focuses on a single interaction rather than a customer’s entire relationship with your company. The premise, popularized by the 2010 Harvard Business Review article “Stop Trying to Delight Your Customers,” is that loyalty is driven more by reducing effort than by exceeding expectations. Customers rarely reward you for going above and beyond, but they will punish you for making things hard.
That makes CES particularly useful for teams that own specific workflows: support, onboarding, checkout, self-service, and account setup. If a task should be effortless and it is not, CES surfaces the gap quickly.
Because it is a single question, CES is cheap to run and easy for customers to answer. That low friction is part of the point. A metric that measures effort should not require much effort to respond to.
The standard CES question and scale
The most widely used CES question is phrased as an agreement statement rather than a direct question:
“[Company] made it easy for me to handle my issue.”
Respondents rate their agreement on a 7-point scale:
- Strongly disagree
- Disagree
- Somewhat disagree
- Neither agree nor disagree
- Somewhat agree
- Agree
- Strongly agree
This agreement format is the version refined by the CEB (now part of Gartner) research team and is often called CES 2.0. It replaced an earlier version that asked customers how much effort they personally had to put in, which respondents found harder to interpret consistently.
Some teams use a 5-point scale or a “very difficult to very easy” wording instead. Both are valid. What matters most is that you pick one format and keep it consistent, because changing the scale mid-stream makes your trend data unusable.
You can also tailor the statement to the specific task. For onboarding you might ask whether the product was easy to set up. For checkout you might ask whether it was easy to complete the purchase. The structure stays the same: an ease statement plus an agreement scale.
When to send a CES survey
CES is a transactional metric, so timing is tied to a specific event. Send it immediately after the interaction you want to measure, while the experience is fresh. Good trigger points include:
- Right after a support ticket is resolved
- At the end of onboarding or first successful use of a feature
- Immediately after checkout or a completed purchase
- After a self-service action, such as updating a plan or downloading an invoice
- Following a live chat or call
The closer the survey is to the moment of effort, the more accurate the recall. A CES survey sent a week later measures memory, not experience. Keep the survey to the single effort question, optionally followed by one open-text field asking what made the task easy or hard. That follow-up is where most of the actionable insight lives.
For deeper context on structuring feedback programs around key moments, our voice of customer research guide walks through how to map metrics to the journey stages that matter.
How to calculate customer effort score
There are two common ways to calculate CES, and it is worth being explicit about which one you use.
Method 1: average score
Add up every individual effort rating and divide by the total number of responses.
CES = (sum of all effort ratings) / (number of responses)
For example, if 100 customers respond and their ratings total 580, your CES is 5.8. This is the most common approach and gives you a clean number to trend over time.
Method 2: percentage agreement (top-box)
Calculate the percentage of respondents who selected 5, 6, or 7 (somewhat agree, agree, or strongly agree). This “top-box” method reports the share of customers who found the task easy.
CES = (number of respondents who agree) / (total respondents) x 100
If 78 of 100 respondents rated the task a 5 or higher, your CES is 78 percent.
Neither method is more correct than the other, but they are not interchangeable. Decide on one, document it, and apply it consistently so comparisons across teams and time periods hold up. If you report both, always label which is which.
CES vs CSAT vs NPS
CES is one of three widely used experience metrics, and they answer different questions. Choosing the wrong one leads to data that looks precise but tells you little. Here is how they compare.
| Dimension | CES (Customer Effort Score) | CSAT (Customer Satisfaction) | NPS (Net Promoter Score) |
|---|---|---|---|
| What it measures | Ease of a specific task | Satisfaction with a specific experience | Overall loyalty and advocacy |
| Typical question | ”It was easy to handle my issue" | "How satisfied were you with this?" | "How likely are you to recommend us?” |
| Scale | 1 to 7 agreement | 1 to 5 (or 1 to 10) satisfaction | 0 to 10 likelihood |
| Scope | Transactional | Transactional | Relational |
| Best for | Pinpointing friction | Measuring moment-level happiness | Tracking long-term loyalty |
| Calculation | Average or percent agree | Percent satisfied (top-box) | Percent promoters minus percent detractors |
| Leading or lagging | Leading indicator of churn | Snapshot indicator | Lagging indicator of loyalty |
The short version: use CES when you want to find and fix friction in a specific workflow, CSAT when you want to know if a moment made customers happy, and NPS when you want a relationship-level read on loyalty. Many mature programs run all three, each mapped to the right moment. CES tends to be the most actionable for product and support teams because a low score points directly at a task that needs fixing.
CES benchmarks: what is a good score?
Benchmarks vary by industry, scale, and question wording, so treat any external number as a rough guide rather than a target. On the standard 7-point agreement scale, useful reference points are:
- Below 5.0: a meaningful friction problem worth investigating
- 5.0 to 5.5: average, with clear room to improve
- 5.5 to 6.0: strong performance
- 6.0 and above: excellent, low-effort experience
If you use the percentage-agreement method, many teams aim for 70 percent or more of respondents rating the task easy, with best-in-class experiences reaching the mid-80s.
The most important benchmark is your own baseline. Because wording and scales differ so widely between companies, comparing your CES to a competitor’s published figure is rarely reliable. Comparing this quarter’s CES to last quarter’s, for the same task and the same question, is far more meaningful. Segment your results too: CES for enterprise customers often looks very different from CES for self-serve users, and averaging them together hides both stories.
How to act on CES results
A CES number on its own does nothing. The value comes from what you do next. A practical workflow looks like this.
Read the open-text responses first. The score tells you there is friction; the comments tell you where. Cluster the verbatim feedback into themes such as confusing navigation, too many steps, slow response times, or unclear instructions.
Segment the score. Break CES down by customer type, plan tier, channel, and touchpoint. A blended average can mask a serious problem in one segment. High-value B2B accounts hitting friction is a very different priority than a minor dip among free-tier users.
Prioritize by volume and value. Fix the high-effort tasks that affect the most customers or your most important accounts first. A low CES on a rarely used feature matters less than a low CES at checkout.
Close the loop. For low scores from named customers, follow up directly. This recovers at-risk relationships and signals that feedback leads to action.
Re-measure. After you ship a fix, watch whether CES for that task moves. This is how you prove that reducing effort actually improved the experience, rather than assuming it did.
If you want to connect these insights to what your team builds next, our guide on turning product research into better product decisions covers how to route findings into a prioritized backlog. For teams formalizing their approach, the market research methodology guide puts CES in the context of a broader measurement plan, and the basics of market research is a useful primer if you are building a program from scratch.
Where CES falls short
CES is powerful, but it is not a complete picture. Because it is transactional, it tells you nothing about customers who never started a task, churned silently, or had a bad experience they did not report. It measures effort, not overall value, so a product can be low-effort and still fail to solve a meaningful problem.
CES also depends heavily on wording and timing. A poorly phrased question or a survey sent too late produces noisy data that can send you chasing the wrong fixes. And like any self-reported metric, it captures perception, which does not always match observed behavior. Pairing CES with behavioral data, such as task completion rates or time on task, gives you a fuller read.
For B2B teams especially, the volume of transactional responses can be low, which makes small samples volatile. In those cases, structured research with recruited participants often reveals the “why” behind the score faster than waiting for organic survey volume to accumulate. Our overview of B2B market research processes covers how to complement passive metrics with active research.
Using CES in a broader research program
CES works best as one input among several. A survey tells you how customers scored an interaction, but it rarely tells you the full story of why. To understand the reasoning behind a low score, you often need to talk to the people who left it.
This is where recruiting the right participants matters. If your CES data flags friction in a specific segment, such as enterprise buyers during onboarding, you can follow up with targeted interviews or message testing to diagnose the root cause. Our guides on recruiting B2B research participants and running message testing with real buyers walk through how to do that well.
CleverX is a B2B research platform built for exactly this kind of follow-up. It gives you access to more than 8 million verified professionals, plus B2C audiences, across 150 or more countries. When you need CES feedback from verified customers or a hard-to-reach target segment, you can recruit a qualified panel and get responses in roughly 2 to 5 days on a pay-as-you-go basis, without the overhead of a long panel contract.
That combination of speed and verification is what makes it practical to move from “our CES dropped” to “here is why, and here is what we changed” within a single sprint. Whether you are validating a fix or diagnosing friction across segments, you can recruit verified participants on CleverX and pair your metric with real conversations.
CES gives you the signal. The right research turns that signal into decisions.
Frequently asked questions
What is a good customer effort score?
On a 1 to 7 agreement scale, an average CES of 5.5 or higher is generally considered strong, and 6 or above is excellent. Because scales and wording vary, the most useful benchmark is your own trend over time rather than a single industry number.
What is the difference between CES, CSAT, and NPS?
CES measures how easy an interaction was, CSAT measures satisfaction with a specific experience, and NPS measures overall loyalty and likelihood to recommend. CES is best for pinpointing friction in a specific task, while CSAT and NPS capture broader sentiment.
When should you send a CES survey?
Send CES immediately after a specific interaction, such as resolving a support ticket, completing onboarding, or finishing a purchase. Timing matters because effort is easiest to recall right after the task, so a delay of more than a day weakens the signal.
How do you calculate customer effort score?
Add up all the individual effort ratings and divide by the number of responses to get the average score. Some teams instead report the percentage of respondents who agree or strongly agree that the task was easy, which is a top-box style calculation.
What is the standard CES question?
The most common version asks respondents to rate their agreement with a statement such as: The company made it easy for me to handle my issue. Responses use a 7-point scale from strongly disagree to strongly agree.
Is CES a leading indicator of loyalty?
Yes. Research popularized in the Harvard Business Review found that reducing customer effort is a strong predictor of repurchase and continued loyalty, often more so than delight. High-effort experiences are closely linked to churn and negative word of mouth.