CSAT vs. NPS: Which Customer Experience Metric Should You Use?

Last Updated September 22, 2026

CSAT and NPS answer different customer experience questions. Customer Satisfaction Score, or CSAT, asks how satisfied a customer was with a specific interaction or experience. Net Promoter Score, or NPS, asks how likely a customer is to recommend the organization. Choosing between them depends on whether you want to measure a transaction or the broader customer relationship.

How CSAT is calculated

A common CSAT calculation is the percentage of respondents who select the top satisfaction options on the chosen scale. For example, an organization using a five-point scale may define ratings of 4 and 5 as satisfied. The exact formula and threshold should remain consistent over time so trends are comparable.

CSAT is most useful when the survey is sent close to the interaction being measured and the question clearly refers to that experience.

How NPS is calculated

NPS groups 0-10 responses into promoters, passives and detractors. The score is calculated as the percentage of promoters minus the percentage of detractors, producing a result from -100 to 100.

Because NPS is relationship-oriented, it should not be treated as a direct quality score for an individual agent or one contact unless the survey design specifically supports that interpretation.

When CSAT is the better choice

• After a customer service call, chat or messaging interaction.
• After a purchase, onboarding step or service appointment.
• When testing a specific service-process change.
• When supervisors need feedback tied to a recent interaction.
• When root-cause analysis can connect the response to operational data.

When NPS is the better choice

• Tracking overall customer relationship sentiment.
• Comparing loyalty trends over longer periods.
• Measuring the effect of broader brand or experience programs.
• Segmenting promoters, passives and detractors for follow-up analysis.
• Combining relationship feedback with retention or growth data.

Why both scores need context

A rising CSAT score can coexist with declining loyalty if one touchpoint improves while the broader relationship deteriorates. NPS can also move because of product, price or brand factors that are unrelated to customer service. That is why survey scores should be analyzed with customer intent, repeat contacts, transfer rates, resolution, digital behavior and conversation themes.

AI-powered interaction analytics can add another layer by showing what customers say across the much larger set of interactions that never receive a survey response.

Use a measurement hierarchy

1. Choose the customer outcome you are trying to understand.
2. Select CSAT, NPS or another measure that matches that outcome.
3. Connect responses to the relevant interaction or customer segment.
4. Analyze operational and conversation data to identify the driver.
5. Take action and track whether the customer outcome changes.