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What Is Customer Effort Score? The Low-Friction Experience Metric

Customer effort score is a service quality metric that measures how easy customers find it to complete a task or resolve an issue with your company — the premise being that reducing effort is more predictive of loyalty than delivering delight.

Learn what the metric measures, how to design the survey question correctly, what the scores mean, how it compares to NPS and CSAT, and how to track it in a spreadsheet by issue type and channel.

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How does customer effort score compare to NPS?What is a good customer effort score?How do I survey customers to measure effort?How do I track CES in a spreadsheet?Which support interactions have the highest customer effort?

What this export contains

Response ID
Customer ID
Score
Survey Date
Channel
Issue Type
Resolution
Agent
Product
Follow-up Required

What usually goes wrong with it

  • Teams conflate customer effort with customer satisfaction

    High satisfaction scores don't always predict loyalty — research from CEB/Gartner found that reducing customer effort is more strongly correlated with loyalty than satisfaction, yet most teams only track CSAT and NPS.

    DataMimi Use the standard 7-point scale with the question 'The company made it easy for me to handle my issue' (1 = strongly disagree, 7 = strongly agree) — consistency in wording is what makes the metric comp

  • The survey question wording significantly affects scores

    The standard question asks customers to agree or disagree that 'the company made it easy for me to handle my issue.' Small changes in question phrasing produce large score differences, making benchmark comparisons unreliable if teams don't use the standard format.

    DataMimi Segment scores by issue type, channel, and agent to find the high-effort interactions driving churn risk, rather than relying on the aggregate score to guide improvement.

  • Aggregate scores hide the high-effort interactions that drive churn

    An average score that looks acceptable can mask a subset of interactions — specific issue types, channels, or agents — where effort is extremely high and customers are at genuine churn risk.

    DataMimi Track scores in a spreadsheet alongside resolution time, channel, and issue type — then analyze which combinations predict the lowest scores to prioritize process improvements.

Common questions

What is customer effort score and how is it measured?

Customer effort score is a service metric measured on a 7-point scale by asking customers how easy it was to complete a task or resolve an issue. It is calculated as the average response across all survey respondents for a given period. Higher scores indicate less effort and better experience quality.

Is customer effort score better than NPS?

They measure different things — NPS measures overall loyalty and likelihood to recommend, while the effort metric measures ease of specific interactions. Both are useful, but research suggests that reducing effort is more predictive of churn prevention than increasing satisfaction.

What is a good customer effort score?

On a 7-point scale, above 5.5 is generally considered good, and the goal is to increase the score over time by reducing friction in high-effort interaction types. Benchmarks vary by industry, so tracking your own trend is more useful than comparing against generic averages.

What does Datamimi cost for customer feedback tracking?

Datamimi's Free plan is $0/month with 40 credits. Paid plans: Lite at $9/month (400 credits), Starter at $24/month (1,500 credits, 3 files), Pro at $59/month (5,000 rollover credits), Team at $199/month (20,000 credits, 5 users). No contract required.

Try it with your own file

DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.

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