What Is CSAT Score?
Definition
CSAT (Customer Satisfaction) score is a metric that measures how satisfied customers are with a specific interaction, product, or service, typically collected through a post-interaction survey asking customers to rate their experience on a scale of 1-5 or 1-10.
CSAT score, short for Customer Satisfaction score, is the most widely used metric for measuring customer happiness with support interactions. After a support conversation ends, the customer is asked a simple question — usually "How satisfied were you with your experience?" — and rates their experience on a numerical scale. The CSAT score is calculated as the percentage of responses that fall in the "satisfied" range.
The standard formula is: CSAT = (Number of satisfied responses / Total responses) x 100. On a 1-5 scale, ratings of 4 and 5 are typically counted as "satisfied." On a 1-10 scale, ratings of 8-10 are considered satisfied. This binary classification (satisfied vs. not satisfied) makes CSAT easy to understand and track over time.
CSAT is valuable because it provides direct, real-time feedback on support quality. Unlike Net Promoter Score (NPS), which measures overall brand loyalty, or Customer Effort Score (CES), which measures ease of interaction, CSAT captures satisfaction with a specific touchpoint. This makes it highly actionable — a low CSAT on a particular type of interaction points directly to what needs improvement.
However, CSAT has well-known limitations. Response rates are typically low (10-30%), which can create sampling bias — extremely satisfied or extremely dissatisfied customers are more likely to respond. Cultural factors influence how people rate experiences, making cross-regional comparisons difficult. And CSAT measures sentiment at a single point in time, not long-term loyalty or likelihood to churn.
For support teams, CSAT is most useful when segmented by agent, topic, channel, and resolution time. This segmentation reveals patterns: perhaps chat support has higher CSAT than email, or a specific agent consistently receives lower ratings. These insights drive targeted improvements rather than broad, unfocused initiatives.
Best practices for CSAT collection include keeping surveys short (one question plus optional comment), timing the survey appropriately (immediately after resolution, not days later), and making response optional rather than required. Forced surveys generate low-quality data and frustrate customers.
How to Measure & Implement
Calculate CSAT by dividing the number of satisfied responses by total responses, then multiplying by 100. On a 5-point scale, count ratings of 4 and 5 as satisfied. Aim for a CSAT score of 85% or higher — the industry average for B2B SaaS support is approximately 78-82%. Track CSAT trends over time rather than fixating on individual scores. Segment by channel, agent, ticket category, and resolution time to identify patterns. Monitor response rate alongside CSAT — a high score with a very low response rate may not be representative.
How Corebee Handles CSAT Score
Corebee includes built-in CSAT collection at the end of support conversations. After a conversation is resolved — whether by AI or a human agent — the customer can rate their experience directly in the chat widget. Corebee's analytics dashboard displays CSAT scores segmented by AI-handled vs. human-handled conversations, giving you clear insight into how well your AI support is performing compared to your human team.
Learn MoreRelated Terms
Customer Effort Score
Customer Effort Score (CES) is a customer experience metric that measures how much effort a customer had to exert to resolve their issue, complete a transaction, or get their question answered, typically measured on a 1-7 scale from "very low effort" to "very high effort."
Customer Support KPIs
Customer support KPIs (Key Performance Indicators) are quantifiable metrics that measure the effectiveness, efficiency, and quality of a company's customer support operations, including first response time, resolution time, CSAT score, ticket volume, and agent productivity.
First Response Time
First response time (FRT) is the amount of time between when a customer submits a support request and when they receive the first meaningful reply from a support agent or AI system, excluding automated acknowledgment messages.
AI Customer Support
AI customer support is the use of artificial intelligence technologies — including natural language processing, machine learning, and large language models — to automatically handle customer inquiries, resolve issues, and provide assistance without requiring a human agent.
Frequently Asked Questions
What is a good CSAT score for customer support?
A good CSAT score for B2B SaaS customer support is 85% or higher. The industry average is approximately 78-82%. Scores above 90% are considered excellent. However, context matters — compare your score to your industry benchmark and track trends over time rather than focusing on a single number.
What is the difference between CSAT and NPS?
CSAT measures satisfaction with a specific interaction or experience, while NPS (Net Promoter Score) measures overall loyalty and likelihood to recommend the company. CSAT is transactional and immediate; NPS is relational and long-term. Most support teams track CSAT for operational improvement and NPS for strategic health.
How can I improve my CSAT score?
Improve CSAT by reducing first response time, resolving issues on first contact, training agents on empathy and communication, and ensuring self-service options actually solve problems. Analyze low-CSAT conversations to identify patterns — common causes include slow responses, incorrect answers, requiring customers to repeat information, and unresolved issues.
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