What CES measures

CES answers one question: how much effort it cost a person to solve their task. Not “did you like it”, not “would you recommend us”, but “was it easy”.

The standard wording of the question:

"The company made it easy to handle my issue"
1 — strongly disagree ... 7 — strongly agree

or in direct form:
"How easy was it to place your order?"
1 — very difficult ... 7 — very easy

CES = sum of ratings / number of responses

Example: 200 responses totalling 1,180 gives CES = 5.9 on a seven-point scale.

The alternative calculation is the share of easy answers (5–7 points) as a percentage. It is more robust to outliers and clearer to non-technical stakeholders. Both methodologies are acceptable; changing them mid-observation is not.

CES, NPS and CSAT: three metrics, three jobs

Parameter CES CSAT NPS
What it measures Effort to solve the task Satisfaction with an episode Willingness to recommend the brand
The question “How easy was it to…?” “How satisfied are you with…?” “Would you recommend…?”
Scale 1–7 or 1–5 1–5 0–10
When to ask Straight after the interaction Straight after the episode Periodically, outside the action
Horizon One step of the journey One contact The relationship with the brand
What to do with the result Find and remove friction on the step Analyse the causes of dissatisfaction Adjust product and positioning
Measurement frequency Continuously, on an event Continuously, on an event Once a quarter or half-year
Owner Product, e-commerce Support, operations Management, marketing

The metrics do not replace one another. NPS answers “where are we going”, CSAT “what does the customer feel”, CES “what exactly do we fix on Monday”. For a product team, the third question is the most operational.

Why effort predicts the repeat purchase

The logic is simple: satisfaction is easy to buy with a one-off gesture — a discount, a gift, an apology from a manager. Effort cannot be compensated that way. If a person spent twenty minutes hunting for the right size, refilled a form three times and wrote to support twice, they may still rate the polite agent highly — and go to a competitor next time anyway.

In e-commerce this is amplified by the low switching barrier: an alternative store is one click away and the cost of switching supplier is close to zero for the shopper. So the link from high effort to churn is shorter here than in services with a contract or infrastructural lock-in.

The practical conclusion: read CES not in isolation but next to the retention rate and the repeat purchase share in the same segment. The steps with the highest effort and the sharpest drop in repeat orders are the first candidates for a rebuild.

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Ask the CES question after a successful completion of the action, not after an abandonment. An unfinished checkout produces a biased sample: mostly the annoyed respond. Drop-off is measured with the funnel; CES measures the quality of the path that was completed.

Where to measure it in e-commerce

Measuring point Wording What to look for in the answers
Order confirmation screen “How easy was it to place your order?” Redundant fields, forced registration, unclear delivery
Filing a return “How easy was it to arrange the return?” Number of steps, a required phone call, unclear terms
Support ticket closed “How easy was it to resolve your issue?” Number of iterations, handovers between agents
Search and product choice “How easy was it to find what you needed?” Quality of search, filters, descriptions of variants
Registration / first sign-in “How easy was it to get started?” Form length, confirmations, mandatory data

Every measurement should be tied to an event rather than a page: an in-app survey or an onsite widget is shown once after the action completes and is not repeated to the same audience within the period.

Turning CES into product action

The metric is useful exactly to the extent that it is broken down. An overall CES of 5.7 says nothing. CES of 6.4 on desktop and 4.8 on mobile web for the same checkout is already a specification.

The working sequence:

  1. Break the journey into steps. Take the customer journey and mark the points where the user does work: entering data, choosing a variant, confirming, waiting.
  2. Measure CES on the 2–3 heaviest steps. Not all of them at once — otherwise the surveys start competing with each other and with the selling mechanics.
  3. Compare the cuts: device, logged in or not, new versus repeat customer, product category, delivery method.
  4. Cross-check with quantitative data. A low CES must be corroborated by behaviour: a drop in the funnel, growing time on the step, repeat contacts. One source is a hypothesis, two make it a task.
  5. Remove the work rather than explain it. A hint on how to fill a field is worse than a field that does not need filling. Address autocomplete, a remembered payment method, saved size and preferences, pre-filled options — these are the standard ways to take effort out.
  6. Re-measure after the change and compare using the same calculation method.

A separate layer is the effort of choosing. Part of it is removed not by simplifying a form but by shortening the search: selections matched to the user’s preferences, micro-conversions such as “compare” and “save for later”, and clear differences between variants. The fewer products a shopper has to work through before deciding, the lower the effort and the shorter the path to the order.