The compact guide on Customer Effort Score (CES)
What CES is, how to calculate it, when to measure it and how to reduce friction to increase customer loyalty.
Riccardo Begelle, 2025
16 min
What is the Customer Effort Score (CES)?
The Science Behind CES
Customer effort and disloyalty
"96% of customers with a high-effort service interaction become more disloyal, compared to only 9% who have a low-effort experience."
— The Effortless Experience — Dixon, Toman & DeLisi (CEB/Gartner)
CES 1.0 vs CES 2.0: The Evolution of the Question
| CES 1.0 (2010) | CES 2.0 — Current standard | |
|---|---|---|
| Format | Direct question | Statement |
| Wording | "How much personal effort did you have to put in to resolve your request?" | "[Company] made it easy for me to resolve my issue." |
| Scale | 1 to 5 (high effort → low effort) | 1 to 7 (strongly disagree → strongly agree) |
| Advantage | Simple and direct | Generates more honest, less biased responses |
| Current use | Declining | Recommended industry standard |
When to Measure the Customer Effort Score?
| Moment | Concrete example | What you measure |
|---|---|---|
| Post-support | Ticket closure, chat or customer service call | Effort to resolve a problem |
| Post-purchase | Immediately after completing a transaction | Ease of the purchasing process |
| Post-onboarding | At the end of service setup or activation | Friction in the first experience |
| Post-self-service | After using the knowledge base, FAQs or chatbot | Effectiveness of support without human intervention |
| Payments & forms | After completing an online payment or registration | Obstacles in transactional processes |
⚠ CES is a transactional metric, not a periodic one
CES should not be used as a general periodic survey (that is the role of relational NPS). It is a transactional metric: its value lies in the immediacy and context of a specific interaction.
How to Calculate CES?

Method 1: Average
Average CES = Sum of all scores / Total number of responses
Average CES = Sum of all scores / Total number of responses
Method 2: Percentage of Easy (the most reported)
CES% = (Responses 5+6+7) / Total responses × 100
CES% = (Responses 5+6+7) / Total responses × 100
| Response | Score | Counted in CES%? |
|---|---|---|
| Strongly agree | 7 | ✔ Yes |
| Agree | 6 | ✔ Yes |
| Somewhat agree | 5 | ✔ Yes |
| Neutral | 4 | ✗ No |
| Somewhat disagree | 3 | ✗ No |
| Disagree | 2 | ✗ No |
| Strongly disagree | 1 | ✗ No |
What is a Good CES Score?
| Zone | Score (scale 1–7) | Interpretation |
|---|---|---|
| Critical | < 4.5 | High friction. Customers at high risk of churn. |
| Needs improvement | 4.5 – 5.0 | Below average. Prioritise obstacle removal. |
| Acceptable | 5.0 – 5.5 | Functional experience. Relevant room for improvement. |
| Good | 5.5 – 6.0 | Most interactions are perceived as easy. |
| Excellent | > 6.0 | Smooth experience. Benchmark in ease of interaction. |
CES by Sector: Guidance to Contextualise Your Score
| Sector | Typical CES (1–7) | Key effort factors |
|---|---|---|
| E-commerce / Digital retail | ≥ 6.0 | Checkout, returns, tracking. Highly optimised among leaders. |
| Software / SaaS (B2C) | 5.5 – 6.0 | Onboarding, feature activation, technical support. |
| Banking & financial services | 5.0 – 5.8 | Account opening, issue resolution, verification. |
| Healthcare | 4.5 – 5.5 | Appointments, results, insurance management. High inherent complexity. |
| Software / SaaS (B2B) | 4.8 – 5.5 | Implementation, integrations, complex technical support. |
| Telecommunications | 4.0 – 5.0 | Number portability, network issues, billing. Historically highest-friction sector. |
| Insurance | 4.0 – 5.0 | Claims and policy management. Complex processes. |
Advantages and Disadvantages of the Customer Effort Score
| ✔ Advantages | ⚠ Limitations |
|---|---|
| Strong predictor of loyalty — 1.8x more effective than CSAT at anticipating retention | Does not measure overall satisfaction or brand loyalty |
| Extremely actionable — identifies exactly where friction exists | Only covers one touchpoint: partial view of the journey |
| Reduces operational costs — 37% lower cost in low-effort interactions | Does not explain why there is friction without a complementary open-ended question |
| Improves word of mouth — low-effort customers are 81% less likely to speak negatively | Less externally benchmarkable than NPS or CSAT |
| Direct and easy to answer — high response rate | Does not consider factors such as price, competition or product quality |
| Applicable to all channels and touchpoints | Sensitive to the scale used: do not compare CES on a 5-point scale with CES on a 7-point scale |
How to Improve Your CES Score?
- Eliminate repeated contacts: Callbacks and follow-ups are the primary driver of high effort. Resolving the issue at first contact (FCR) is the lever with the greatest impact on CES. Each additional contact doubles the perceived effort.
- Strengthen intelligent self-service: 52% of Generation Z customers abandon a brand if self-service does not resolve their problem. A well-structured knowledge base with effective search and frequent updates reduces effort before the customer reaches human support.
- Implement AI for immediate resolution: Support AI reduces effort by providing instant, accurate responses. 90% of customers consider immediacy (<10 minutes) as critical. Well-trained AI agents reduce effort in routine interactions without sacrificing quality.
- Simplify transactional processes: Checkout, registration, payments, forms: every unnecessary field or additional step increases effort. Auditing flows with CES data per step allows the identification of specific bottlenecks.
- Empower human agents: A unified customer view (single customer view) enables agents to resolve issues without asking the customer to repeat their context. Every time the customer has to repeat themselves, perceived effort increases significantly.
- Close the loop with high-effort customers: Low CES responses (1–3) must have an assigned owner and a clear contact deadline (ideally <24h). Proactively reaching out to these customers before they decide not to return is the most effective retention strategy.
CES in Digital Environments and with AI
- Real-time predictive CES: Advanced platforms estimate the likely CES score during the active interaction, based on signals such as resolution time, number of transfers and channel switches, without waiting for the survey.
- Effort analysis through digital biometrics: Behavioural analytics tools detect friction signals in digital environments: repeated clicks, erratic scrolling, inactivity time, abandoned form fields. These signals complement declarative CES.
- Generative AI for effort reduction: 80% of organisations have implemented or plan to implement generative AI for CX improvements in 2025. Conversational agents resolve 85% of routine queries without human intervention, reducing effort in low/medium-value interactions.
- CES + CRM integration: Connecting CES data with the customer's history in the CRM allows the identification of high-effort patterns by segment, product or channel and the prioritisation of improvements with the greatest impact on retention.
How to Implement Your CES Programme with RateNow
| Why RateNow | What it offers you |
|---|---|
| Proven experience | Years of track record operationalising VoC programmes for small and large companies across multiple sectors. |
| Analytics platform | RateNow Analytics provides real-time actionable insights to identify and eliminate the most impactful friction points in your journey. |
| Sector-specific benchmarks | Access to CES, NPS and CSAT benchmarks by country and sector to contextualise your score with real market data. |
| Multichannel | Collect CES feedback via email, in-app, SMS, web, QR and physical point of sale in a single integrated platform. |
| Tailored solutions | Every CES programme is customised: touchpoint selection, frequency, scale, alert system and closed-loop according to your objectives. |
Bibliography
What is CES or Customer Effort Score?

How is CES calculated?

What is a good CES score?

What is the difference between CES 1.0 and CES 2.0? 

When should CES be measured?

What is the difference between CES, NPS and CSAT?

How to improve CES?

What tool should I use to measure CES?

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