Overview

CSAT is the most direct measure of customer satisfaction. Unlike NPS, which asks about overall loyalty, CSAT targets a specific moment: a support call, a purchase, a delivery, an onboarding session. The question is simple and the timing is immediate, which makes it one of the most actionable CX metrics available.

The standard CSAT question is: "How satisfied were you with your experience today?" answered on a scale of 1 to 5.

The CSAT scale

1Very dissatisfied
2Dissatisfied
3Neutral
4Satisfied
5Very satisfied

Only customers who select 4 or 5 are counted as satisfied in the final score calculation. Responses of 1, 2, or 3 are treated as dissatisfied regardless of degree.

How CSAT is calculated

CSAT Formula
CSAT % = (Number of satisfied responses) ÷ (Total responses) × 100
Satisfied responses = those who answered 4 or 5 on the 5-point scale

Example: If 420 out of 500 respondents rated 4 or 5, the CSAT score is 420 ÷ 500 × 100 = 84%.

CSAT benchmarks

CSAT rangeGeneral interpretation
Below 60%Poor, significant dissatisfaction present
60% to 75%Average, room for meaningful improvement
75% to 85%Good, above average in most industries
85% to 90%Excellent, strong satisfaction levels
Above 90%World-class, very high customer satisfaction

When to use CSAT

CSAT works best as a post-interaction metric, measured immediately after a defined touchpoint while the experience is still fresh. Common use cases include:

  • After a support ticket is resolved
  • Following a live chat or phone call
  • After product delivery or installation
  • At the end of an onboarding process
  • After a service appointment or in-branch visit
  • Following a product return or complaint resolution

CSAT is less suitable as a long-term relationship metric. For overall loyalty tracking, NPS is more appropriate.

CSAT vs NPS vs CES

MetricWhat it measuresTimingBest use case
CSATSatisfaction with a specific interactionImmediately post-interactionMeasuring touchpoint quality
NPSOverall loyalty and likelihood to recommendPeriodic or post-relationshipRelationship health and benchmarking
CESEase of completing an interactionImmediately post-interactionIdentifying process friction

Limitations of CSAT

  • Recency bias: scores reflect how the customer feels at that moment, which may not represent their overall relationship with the brand
  • Low response rates: post-interaction surveys often see response rates of 10 to 30%, leaving most feedback uncaptured
  • No root cause: CSAT tells you a customer was dissatisfied but not why without an open-text follow-up question
  • Scale interpretation varies: some customers always give the highest score regardless of experience; others rarely give a 5
  • Short-term view: a good CSAT score after one interaction does not guarantee long-term loyalty or retention

Key takeaway: CSAT is the clearest measure of how a specific interaction landed with a customer. It is most powerful when combined with an open-text question that explains the rating, and when trends are tracked over time rather than read as single data points.

Frequently Asked Questions

What is CSAT?
CSAT (Customer Satisfaction Score) is a metric that measures how satisfied customers are with a specific interaction, product, or service. It is typically collected via a short survey immediately after a touchpoint, asking customers to rate their satisfaction on a scale of 1 to 5.
How is CSAT calculated?
CSAT is calculated by dividing the number of satisfied customers (those who rated 4 or 5 on a 5-point scale) by the total number of survey responses, then multiplying by 100. The result is expressed as a percentage.
What is the difference between CSAT and NPS?
CSAT measures satisfaction with a specific interaction at a specific moment. NPS measures overall loyalty and the likelihood of recommending the company. CSAT is transactional and short-term; NPS is relational and long-term.
What is a good CSAT score?
CSAT scores above 80% are generally considered good. Scores above 90% are considered excellent. Benchmarks vary by industry, so it is important to compare against sector-specific averages.