What is a CSAT? Definition, Examples & Best Practices
CSAT, short for Customer Satisfaction Score, is one of the most widely used customer experience metrics because it gives teams a direct read on whether a customer interaction met expectations. A CSAT survey usually asks a question such as, “How satisfied were you with your experience?” Respondents answer on a scale, commonly 1 to 5, where the top two responses are treated as satisfied.
The standard CSAT formula is: CSAT = number of satisfied responses divided by total number of responses, multiplied by 100. For example, if 420 out of 600 respondents select 4 or 5 on a 5-point scale, the CSAT score is 420 divided by 600, multiplied by 100, which equals 70%.
CSAT is best used for measuring specific touchpoints. Product managers use it after onboarding, CX teams use it after support interactions, ecommerce teams use it after delivery, and researchers use it to compare satisfaction across customer segments. It is less suited to measuring long-term loyalty, where metrics such as Net Promoter Score (NPS), customer retention, repeat purchase, or Customer Effort Score (CES) may add more context.
CSAT Strengths and Weaknesses
CSAT is strongest when it measures a clear touchpoint. Product managers use it after onboarding. CX teams use it after a support ticket. Ecommerce teams use it after delivery. BPO and contact centre teams use it after calls, chats, emails, or case resolution. In BPO, CSAT often becomes an operational KPI by agent, queue, client account, language, or channel.
The academic basis for satisfaction measurement is often linked to expectancy-disconfirmation theory. Oliver (1980) described satisfaction as a response shaped by expectations and whether the experience confirms or disconfirms those expectations. Fornell et al. (1996) later formalised customer satisfaction through the American Customer Satisfaction Index, connecting satisfaction to perceived quality, perceived value, complaints, and loyalty.
Benchmarks help, but they need context. The Institute of Customer Service reported a January 2026 UK Customer Satisfaction Index of 78.2 out of 100, up 2.1 points from January 2025, based on 59,500 customer experiences. The American Customer Satisfaction Index reported a Q1 2026 national score of 76.7 out of 100. These are useful directional benchmarks, but a company’s own historical trend is usually more actionable than a cross-sector average.
CSAT also has limitations. Peterson and Wilson (1992) argued that satisfaction scores can be affected by positivity bias and measurement artefacts. Dixon, Freeman and Toman (2010) argued that Customer Effort Score can be a stronger predictor of loyalty in service contexts. CSAT should therefore be treated as a fast diagnostic metric, not a complete explanation of customer behaviour.
How It Works
Calculating CSAT starts with a direct satisfaction question. The question should name the experience being measured, such as a purchase, support interaction, onboarding flow, delivery, product feature, or account review. A specific question gives cleaner data than a broad question because respondents know exactly what they are judging.
The most common CSAT formula is:
CSAT = (number of satisfied responses / total number of responses) x 100
On a 5-point scale, satisfied responses are usually ratings of 4 and 5. This is called the top-2-box method.
Worked example:
A SaaS company sends a CSAT survey after support chats. It receives 800 responses. 520 respondents choose 5, 120 choose 4, and 160 choose 1, 2, or 3.
Satisfied responses = 520 + 120 = 640.
CSAT = 640 / 800 x 100 = 80%.
Some teams calculate the mean score instead. For example, if ratings across all respondents average 4.2 out of 5, the mean satisfaction score is 4.2. This is useful for tracking small movement across the full scale, but it is not the same as an 84% CSAT score. Top-2-box is better for simple executive reporting. Mean score is better for detailed statistical analysis.
How CSAT Is Used in Practice
A UK fintech tracking onboarding friction across 12,000 monthly sign-ups sends a CSAT survey after account verification. In March, 1,200 customers respond. Of those, 780 select 4 or 5 on a 5-point scale, giving a CSAT score of 65%.
The product team cuts the data by device type and finds Android users have a CSAT of 54%, compared with 72% for iOS users and 70% for desktop users. Open-text responses repeatedly mention camera upload failures and unclear error messages. After improving document upload guidance and adding clearer error states, the fintech repeats the survey in April. CSAT rises to 74%, with Android CSAT improving to 68%. The data did not just show dissatisfaction. It showed where to focus.
Sources Cited
Dixon, M., Freeman, K. and Toman, N. (2010). “Stop Trying to Delight Your Customers.” Harvard Business Review.
Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J. and Bryant, B. E. (1996). “The American Customer Satisfaction Index: Nature, Purpose, and Findings.” Journal of Marketing.
Institute of Customer Service (2026). “UK Customer Satisfaction Index, January 2026.” Institute of Customer Service.
Oliver, R. L. (1980). “A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions.” Journal of Marketing Research.
Peterson, R. A. and Wilson, W. R. (1992). “Measuring Customer Satisfaction: Fact and Artifact.” Journal of the Academy of Marketing Science.
Qualtrics (2020). “What is CSAT and How Do You Measure It?” Qualtrics.
SurveyMonkey (accessed 2026). “Calculate Customer Satisfaction with Our CSAT Calculator.” SurveyMonkey.
The American Customer Satisfaction Index (2026). “Press Release National ACSI Q1 2026.” ACSI.
Frequently Asked Questions
CSAT stands for Customer Satisfaction Score. It is a survey metric used to measure how satisfied customers are with a product, service, transaction, support interaction, or overall experience. Most CSAT surveys use a rating scale, then calculate the percentage of respondents who gave a positive satisfaction rating.
To calculate CSAT, divide the number of satisfied respondents by the total number of respondents, then multiply by 100. On a 5-point scale, satisfied respondents are usually those who choose 4 or 5. If 300 out of 400 respondents choose 4 or 5, the CSAT score is 75%.
A good CSAT score depends on the industry, survey channel, timing, and customer expectation. As a rough guide, many organisations treat scores above 70% as positive, but internal trend is more useful than a generic benchmark. A rise from 62% to 72% after a product change may be more meaningful than comparing against another sector.
CSAT is not the same as NPS. CSAT measures satisfaction with a specific experience, usually immediately after it happens. NPS measures likelihood to recommend, often as a proxy for loyalty. CSAT is better for diagnosing touchpoint quality. NPS is better for tracking relationship-level advocacy over time.
CSAT and Customer Effort Score answer different questions. CSAT asks whether the customer was satisfied. CES asks how easy it was for the customer to complete a task or resolve an issue. In support and service contexts, CES can be especially useful because a low-effort experience often matters more than delight.
A 1 to 5 scale is common because it is simple, quick, and easy to interpret using the top-2-box method. A 1 to 10 scale gives more granularity, but it can create ambiguity about which ratings count as satisfied. Teams should choose one scale and keep it consistent across reporting periods.
A CSAT survey should be sent soon after the experience being measured, while the interaction is still fresh. Common moments include after a support ticket closes, after onboarding, after delivery, after a purchase, or after a product feature is used. Delayed surveys risk weaker recall and less reliable feedback.
CSAT can over-represent customers who feel strongly enough to respond, which creates response bias. It can also hide the reason behind a score unless paired with an open-text question. A high CSAT score does not automatically prove loyalty, retention, or profitability. It should be read alongside behavioural data.
In BPO, CSAT usually means the satisfaction score customers give after an outsourced service interaction, such as a call, live chat, email, or support ticket. BPO providers often report CSAT by client account, agent, team, process, language, queue, or channel. It is commonly used to monitor service quality and contract performance.
CSAT and client satisfaction score are often calculated in the same way, but the wording changes by context. “Customer Satisfaction Score” is more common in consumer, SaaS, ecommerce, and CX teams. “Client Satisfaction Score” is more common in B2B, agencies, consulting, account management, and professional services.