Customer Effort Score (CES) is a metric that measures how much effort a customer exerts to resolve an issue, fulfill a request, or complete a task. It identifies friction points in the customer journey by asking how easy or difficult an interaction was. Reducing this effort is a primary driver of customer loyalty and retention.
What is Customer Effort Score (CES)?
CES is a single item metric designed to evaluate the ease of specific interactions. Unlike broader metrics, it focuses on the "here and now" of a service or product touchpoint. The survey typically follows a simple prompt: "How easy was it to interact with [Company Name]?"
Researchers at the Corporate Executive Board (CEB) introduced the concept in 2010. They argued that loyalty is built not by "delighting" customers with unexpected perks, but by making their lives easier.
Why Customer Effort Score (CES) matters
Tracking effort provides concrete data on where customers are struggling. It serves as an early warning system for churn and growth potential.
- Predicts loyalty. High effort service interactions correlate strongly with disloyalty. 96% of customers with a high-effort service interaction become more disloyal.
- Drives repurchasing. Making things simple keeps customers coming back. 94% of customers with low-effort experiences said they would buy again.
- Reduces negative word of mouth. High effort leads to vocal dissatisfaction. 81% of customers with high-effort experiences plan to spread negative word of mouth.
- Lowers service costs. Reducing agent touches and transfers decreases the resources needed to solve a single problem.
- Stronger retention. Ease is a better predictor of recurring revenue than short term satisfaction. 73% of customers consider switching to a competitor after multiple bad experiences.
How Customer Effort Score (CES) works
Measuring CES involves a simple calculation after collecting survey responses.
- Select a scale. Most companies use a 1 to 5 scale, a 1 to 7 scale, or a 0 to 100 percentage.
- Deploy the survey. Send the question immediately after an interaction (like a support call or purchase).
- Sum the results. Add all the individual scores from your respondents.
- Divide by respondents. The final CES is the total sum of ratings divided by the number of people who responded.
For example, if 10 customers provide a total score of 41 on a 1–5 scale, your CES is 4.1.
Types of CES Surveys
Organizations use different formats depending on the level of detail they need.
| Survey Type | How it Works | Best Use Case |
|---|---|---|
| Likert Scale | Customers rank opinions from "Strongly Disagree" to "Strongly Agree." | Identifying specific agreement with "The company made it easy." |
| Numeric Scale | Customers choose a number (e.g., 1–7 or 1–10). | Tracking progress and averages over time. |
| Two-Question | A numeric scale followed by an open-ended question. | Finding the "why" behind a difficult experience. |
| Emoticon | Customers select a smiley, neutral, or sad face. | Quick feedback on mobile or high-traffic pages. |
Best practices
- Time it right. Send surveys immediately after the interaction while the details are fresh in the customer's mind.
- Optimize for mobile. Ensure the survey is easy to tap and read on smartphones, as many interactions happen on mobile devices.
- Use automated triggers. Apply software to send surveys automatically after a ticket is closed or a purchase is made.
- Share the data. Distribute results to every department: from product development to marketing: so they can remove friction points.
- Close the loop. Empowers agents to follow up with customers who report high-effort experiences to resolve the issue.
Common mistakes
- Mistake: Sending the survey too late. Fix: Deploy the survey via the same channel the customer used (email, chat, or in-app) right after the event.
- Mistake: Using long forms. Fix: Keep it to one or two questions max; complexity in a CES survey creates more customer effort.
- Mistake: Asking leading questions. Fix: Use neutral phrasing like "How easy was it?" instead of "Did you find it easy?"
- Mistake: Measuring general brand feeling. Fix: Use CES for specific touchpoints only; use NPS for overall brand sentiment.
Examples
- Post-Purchase Scenario: After a customer buys a subscription, a pop-up appears asking: "On a scale of 1–5, how easy was it to complete your purchase today?"
- Customer Support Scenario: Once a live chat ends, the agent sends a one-click survey: "The company made it easy for me to handle my issue (1-7 scale)."
- Self-Service Scenario: At the bottom of a help article, a prompt asks: "Was it easy to find what you were looking for?" with a thumbs-up or thumbs-down icon.
CES vs. NPS vs. CSAT
| Metric | Goal | Best Use |
|---|---|---|
| CES | Measure ease/effort. | Improving specific service or product workflows. |
| NPS | Measure long term loyalty. | Understanding brand advocacy and growth. |
| CSAT | Measure short term happiness. | Evaluating happiness with a specific product or event. |
Rule of thumb: Use CES to find friction in processes, NPS to understand the overall relationship, and CSAT for a "here and now" satisfaction check.
FAQ
What is a "good" CES score? A good score depends on the scale. On a 1–5 scale, aim for 4.0 or higher. On a 1–7 scale, a score above 5.5 is typically considered good. Ideally, you want to be in the top 20% of your chosen scale.
When should I use CES instead of NPS? Use CES when you want to fix a specific part of the user journey, like a checkout process or a support interaction. NPS is better for measuring how people feel about your brand as a whole over a long period.
How does CES predict churn? High effort creates frustration. Since 96% of high-effort customers become disloyal, a low CES score is a direct indicator that those customers are likely to stop using your product or switch to a competitor.
Does CES work for B2B? Yes. While B2B interactions like onboarding or technical support are more complex, CES helps identify which specific parts of those flows require too much manual work from the client.
Can I use emoticons for CES? Yes, image-based surveys using faces or thumbs are effective for increasing response rates. However, they provide less granular data compared to a 7-point Likert or numeric scale.
