Measure friction. Retain customers.
The Complete Guide to Customer Effort Score (CES)
What it is, how to calculate it, what a good score looks like, and when to use it.
CES measures friction. The harder customers have to work to get help or complete a task, the more likely they are to churn. Here's everything you need to know to measure and reduce customer effort.
Definition
What is Customer Effort Score?
CES is a transactional survey metric that measures how much effort a customer had to exert to complete a specific task - resolve a support issue, finish onboarding, or make a purchase.
Introduced by Gartner/CEB in 2010, CES is built on a counterintuitive insight: reducing effort is a stronger driver of loyalty than increasing satisfaction. Customers who find it easy to get help stay. Customers who have to work hard leave - even if they're satisfied with the eventual outcome.
The standard CES survey uses one statement: “The company made it easy for me to handle my issue.” Customers rate their agreement 1–7 (Strongly Disagree to Strongly Agree). The score is the average of all responses.
Type
Transactional - tied to a specific interaction
Survey statement
"The company made it easy to handle my issue"
Scale
1–7 (Strongly Disagree to Strongly Agree)
Score output
Average of all ratings (higher = less effort)
When to send
Immediately after the interaction completes
Good benchmark
5.5+ is good, 6.0+ is excellent (7-point scale)
Why effort matters more than satisfaction
The research finding that changed CX measurement
Gartner/CEB research found that customers who had easy interactions were far more likely to stay loyal than those who were simply “satisfied.”
96%
of high-effort customers become disloyal
9%
of low-effort customers become disloyal
4x
more likely to churn after a high-effort interaction
The implication: removing friction drives retention more reliably than adding delight. This is why CES benchmarks at the interaction level are more predictive of churn than NPS or CSAT for the same interaction.
The formula
How to calculate CES
CES Formula
CES = Sum of all ratings ÷ Total responses
Simple average - not a percentage. Higher score = less effort = better.
Example calculation
CES score benchmarks (7-point scale)
6.5–7.0
Excellent
Virtually no friction. Customers complete tasks with minimal effort - a significant competitive advantage in retention.
6.0–6.4
Great
Low effort experience. Strong signal for loyalty. Focus on maintaining this while scaling support volume.
5.5–5.9
Good
Above industry average for most sectors. Identifiable friction exists - root cause analysis on low-scoring interactions will reveal specific fixes.
5.0–5.4
Average
Industry median. Noticeable friction in some interactions. Prioritise the touchpoints dragging the score down.
Below 5.0
High effort
Significant friction across interactions. Strong churn signal - customers are working too hard to get value. Immediate action required.
Timing and context
When to send a CES survey
CES is most valuable immediately after an interaction where effort is the key variable. It is not a relationship metric - do not send it quarterly.
Support ticket resolved
Within minutes of resolution
The highest-ROI use of CES. Support effort directly predicts whether a customer will contact you again or churn. Low-effort support is the single biggest driver of customer loyalty.
Measures: Resolution complexity, escalation rate, channel friction
Onboarding completed
After activation milestone
Onboarding effort predicts 30-day retention. If customers work hard to get started, they are unlikely to reach the point where they experience core product value.
Measures: Setup complexity, documentation clarity, time to first value
Self-service interaction
After task completion
Help center, knowledge base, and in-app guidance quality show up in CES. High self-service effort means customers escalate to support - increasing your cost and their frustration.
Measures: Content findability, clarity, resolution rate without agent help
Purchase or upgrade
Within 24 hours of transaction
Friction in the purchase flow - unclear pricing, complex forms, confusing upgrade paths - directly reduces conversion and increases regret. CES surfaces it before it affects renewal.
Measures: Checkout friction, pricing clarity, upgrade path complexity
Feature implementation
After first successful use
Complex feature adoption drives shadow IT and workarounds. If users find a feature difficult to use, they stop using it - and CES captures that before it shows in retention data.
Measures: Feature discoverability, setup complexity, documentation quality
Account changes
After admin task completes
Admin-heavy tasks - adding seats, changing billing, adjusting permissions - often have the highest effort scores. These are high-leverage areas because they affect decision-makers directly.
Measures: Admin UI complexity, permission clarity, billing change friction
Metric comparison
CES vs CSAT vs NPS
Three questions, three different signals, three different uses.
CES
"The company made it easy to handle my issue"
Effort / friction indicator
Strongest predictor of churn at the interaction level. High effort = high churn risk.
After every support interaction, onboarding step, or complex task.
CSAT
"How satisfied were you with this experience?"
Satisfaction indicator
Captures emotional reaction. Better for measuring overall experience quality than predicting churn.
After each customer interaction - support, onboarding, purchase, feature release.
NPS
"How likely are you to recommend us?"
Loyalty / advocacy indicator
Measures long-term relationship health and referral likelihood. Not useful for diagnosing specific friction.
Quarterly - as a relationship health check, not after individual interactions.
Key distinction
CES measures effort. CSAT measures satisfaction.
A customer can be satisfied with a support outcome but still rate the effort as high (they waited 3 days, escalated twice, and finally got a resolution). CSAT captures the relief at resolution. CES captures the friction along the way. Both matter - but CES is a stronger churn predictor for support interactions.
CES and NPS operate on different time horizons.
NPS measures cumulative relationship health across all interactions over time. CES measures the friction of a single, specific interaction right now. They are not in competition - CES tells you which interaction is hurting your NPS before that shows up in the quarterly score.
Go deeper
Every angle of Customer Effort Score
Each guide covers one part of CES measurement in full detail.
Survey tool
CES survey tool
Sending a CES survey manually - copying questions into a form, exporting responses to a spreadsheet, and computing the average - works for a handful of tickets but breaks at scale. A purpose-built CES survey tool triggers automatically after each interaction, links every effort rating to the specific user and their attributes, and surfaces which interaction types, support agents, or plan tiers are generating the most friction without you having to dig through raw data.
See the CES survey tool →Benchmarks
What is a good CES score?
On a 7-point scale, 5.5+ is good and 6.0+ is excellent - but those numbers only tell you whether you're above or below industry average. The more useful comparison is within your interaction type: B2B SaaS support benchmarks at 5.4–5.8, onboarding at 5.2–5.6, and self-service at 5.6–6.0. Stage matters too - a 5.0 CES for a team handling its first 500 support tickets is very different from 5.0 for a scaled SaaS with a dedicated CS team.
CES benchmarks by industry and stage →Free tool
CES score calculator
CES is a simple average - sum all ratings, divide by total responses - but doing this accurately across multiple survey batches, filtering by interaction type, and comparing to benchmarks takes time manually. The free CES calculator takes your raw response counts and returns your score, visual distribution breakdown, and benchmark comparison instantly. No spreadsheet, no formula errors, no signup required.
Open the free CES calculator →Ready to use
Free CES survey template
The standard CES survey uses one statement: “The company made it easy to handle my issue” on a 1–7 agreement scale. The template is pre-built with the standard question, response scale, and an optional open-text follow-up asking what made it difficult - ready to send immediately after support interactions, onboarding, or any high-effort touchpoint. No survey configuration required.
Get the free CES survey template →Survey questions
20 CES survey questions
The core CES statement covers effort broadly, but follow-up questions reveal which specific friction point is driving your score down - setup complexity, documentation quality, support response time, or feature discoverability. These 20 questions give you the core statement plus targeted follow-ups for support, onboarding, self-service, and purchase interactions, so you can pinpoint exactly where customers are working too hard.
See all 20 CES survey questions →Metric comparison
CSAT vs CES: which to use when
A customer can score your support 9/10 on CSAT - satisfied with the outcome - while rating the effort 3/7 on CES - it took three contacts over five days to resolve. CSAT captures the relief at resolution; CES captures the friction along the way. Research shows CES is a stronger churn predictor at the interaction level: 96% of high-effort customers become disloyal regardless of how satisfied they were with the eventual outcome.
CSAT vs CES: full comparison →Metric comparison
NPS vs CES: different time horizons
NPS tells you where your cumulative relationship stands after months of interactions. CES tells you how a specific interaction felt in the moment it happened. Teams tracking only NPS miss friction signals until they accumulate enough to appear in the quarterly score. Adding CES to high-effort touchpoints - support, onboarding, upgrades - catches those signals within minutes of the interaction completing, before they cost you a renewal.
NPS vs CES: full comparison →Frequently asked questions
Everything you need to know about Customer Effort Score.
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