Customer Effort Score (CES)
Calculate CES from survey responses and predict churn risk. Enter values for instant results with step-by-step formulas.
Worked Examples
Example 1: Support Center Assessment
Problem: 100 responses: 5% score 1, 8% score 2, 15% score 3, 22% score 4, 30% score 5, 12% score 6, 8% score 7. 65% FCR, 24h resolution.
Solution: CES = 4.15 (Fair). 50% high-effort customers. Major friction issue. Priority: improve FCR and reduce resolution time.
Result: 4.15 CES | Fair | 50% high effort | FCR priority
Example 2: Self-Service Portal
Problem: 200 responses: 15% score 1, 25% score 2, 30% score 3, 15% score 4, 10% score 5, 3% score 6, 2% score 7. Self-service channel.
Solution: CES = 2.85 (Good). 70% low-effort customers. Self-service working well. Optimize for the 15% with difficulty.
Result: 2.85 CES | Good | 70% low effort | Optimize edge cases
Example 3: High-Effort Onboarding
Problem: 50 responses: 2% score 1, 4% score 2, 10% score 3, 20% score 4, 35% score 5, 20% score 6, 9% score 7. New customer onboarding.
Solution: CES = 4.92 (Poor). 64% high-effort. Onboarding friction will hurt retention. Redesign process urgently.
Result: 4.92 CES | Poor | 64% high effort | Redesign required
Frequently Asked Questions
What is Customer Effort Score (CES)?
CES measures how easy it is for customers to get issues resolved or tasks completed. Typically uses a 1-7 scale where 1 = 'Very Easy' and 7 = 'Very Difficult'. Lower scores indicate better experiences. Research shows low-effort experiences drive loyalty more than delight.
How is CES different from NPS and CSAT?
NPS measures loyalty/advocacy ('Would you recommend?'). CSAT measures satisfaction with specific interactions. CES measures effort required. CES is the strongest predictor of repurchase behavior—it focuses on removing friction rather than creating delight.
What is a good CES score?
Industry benchmarks vary, but generally: Under 2.5 is excellent, 2.5-3.5 is good, 3.5-4.5 is average, above 4.5 needs improvement. Context matters—complex B2B support may have higher baseline effort than simple retail transactions.
When should I measure CES?
Measure immediately after specific interactions: support ticket resolution, purchase completion, onboarding task, or self-service usage. Timing matters—ask within minutes to hours of the interaction for accurate recall.
How does CES predict customer behavior?
High-effort experiences are strong churn predictors. Studies show 96% of high-effort customers become disloyal vs. 9% of low-effort customers. CES predicts repurchase behavior better than CSAT or NPS for service interactions.
What causes high customer effort?
Common causes: multiple contacts to resolve issues, channel switching (phone to email to chat), repeating information, waiting/hold times, confusing processes, unhelpful self-service, and lack of agent knowledge. Map customer journeys to identify friction.