What is customer satisfaction score?
CSAT, or customer satisfaction score, is a customer experience metric that measures how satisfied a customer was with a specific interaction. After a support call, chat session or service transaction, customers are typically asked: “How satisfied were you with your experience today?” They respond on a scale, usually 1–5 or 1–10.
The score is a point-in-time measurement. It reflects how a specific interaction felt, not how the customer feels about the company overall. A customer can have a high overall sentiment toward a brand and still give a low CSAT score on a frustrating support call.
For contact centers, CSAT is one of the most direct measures of service quality. It’s what leaders get held accountable for, and what agents and supervisors try to move on a day-to-day basis.
How is CSAT calculated?
The standard CSAT formula is:
CSAT = (Number of satisfied responses ÷ Total responses) × 100
“Satisfied” is typically defined as responses in the top one or two tiers of the scale. On a 1–5 scale, satisfied responses are 4s and 5s. On a 1–10 scale, satisfied responses are usually 9s and 10s — though some organizations use 7–10.
Example: 200 customers respond to a post-call survey. 154 rate the interaction a 4 or 5. CSAT = (154 ÷ 200) × 100 = 77%.
Survey timing and channel affect CSAT scores significantly. Post-call IVR surveys have lower completion rates but capture immediate reactions. Email surveys have higher completion rates but introduce delay. SMS surveys tend to get higher response rates for mobile-first audiences.
What’s a good CSAT score for a contact center?
A few reference points for CSAT scores include:
- Below 70%: Signals significant service quality problems that need immediate attention.
- 70–80%: Average for most contact center industries. Improvement is possible and probably necessary.
- 80–90%: Strong performance. Usually associated with consistent training, low agent turnover and well-designed escalation paths.
- Above 90%: Excellent. Typically achieved by organizations with mature QA programs, low handle times and strong first contact resolution (FCR) rates.
CSAT benchmarks can vary by industry. Financial services and healthcare support typically see lower baseline CSAT than retail or hospitality, because the nature of the calls is inherently more stressful.
What’s the difference between CSAT and NPS?
CSAT and NPS (net promoter score) measure different things.
- CSAT measures satisfaction with a specific interaction. It’s transactional and immediate, ideal for evaluating contact center performance at the touchpoint level.
- NPS measures how likely a customer is to recommend the company to others. It’s a relationship-level metric that captures long-term sentiment, not a single interaction.
Contact centers typically use CSAT to manage service quality and NPS to understand the downstream effect of support on customer loyalty.
What affects CSAT in a customer support interaction?
CSAT is influenced by a combination of factors that span processes, technology and people:
- First contact resolution (FCR): Customers who get their issue resolved on the first call are significantly more likely to give a high CSAT score. Repeat contacts are one of the strongest CSAT depressors.
- Wait time and hold time: Even a good interaction can be undermined by a long wait. CSAT drops sharply when hold times exceed customer expectations.
- Agent knowledge and consistency: Agents who give accurate, consistent answers score higher than those who give uncertain or contradictory information. This is where knowledge management directly affects CSAT.
- Resolution speed (AHT): Shorter handle time correlates with higher CSAT, but only when the issue is actually resolved. A fast call that doesn’t solve the problem often scores lower than a longer call that does.
- Empathy and tone: How an agent handles an emotionally charged call matters as much as whether they resolve the issue correctly. Auto QA scoring increasingly captures empathy and sentiment signals alongside compliance and accuracy.
How do contact centers improve CSAT?
The most effective levers tend to be:
Better agent knowledge delivery. Most CSAT failures come from inconsistent or incorrect information. AI-powered knowledge bases that surface the right answer instantly, rather than making customers wait as agents search across systems, have a direct impact.
Real-time guidance during calls. Agent assist tools that suggest next-best actions during live calls help agents handle edge cases without putting customers on hold or giving uncertain answers.
Targeted coaching from QA data. Auto QA reviews 100% of calls and flags specific interactions where CSAT is at risk, so supervisors can coach on real examples at scale.
Reducing repeat contacts. Every time a customer calls back about the same issue, CSAT takes a hit. Solving the root cause is the highest-leverage CSAT improvement.
How Capacity supports CSAT improvement
Capacity’s CX automation platform addresses CSAT at every stage: the AI Knowledge Orchestration Layer ensures agents both AI and human always surface accurate, current information; Real-Time Agent Assist guides agents through complex calls; Auto QA identifies at-risk interactions before they become repeat contacts.
See how Capacity improves CSAT →
See also:
Frequently asked questions about CSAT
CSAT surveys should follow every interaction that matters: post-call, post-chat, post-email resolution. Not every touchpoint needs a survey (transactional updates, for example), but any interaction where agent performance or resolution quality is at stake warrants one.
Yes. Response bias is real: customers who had strongly positive or negative experiences are more likely to complete surveys than those with neutral experiences. Survey timing, channel and question phrasing all affect response rates and score distribution.
This is debated. CSAT-linked bonuses can drive score gaming (agents asking customers to rate them well) rather than genuine service improvement. Most organizations tie CSAT to coaching and performance reviews rather than direct compensation.
CSAT measures satisfaction. CES measures how much effort the customer had to put in to get their issue resolved. CES is often a stronger predictor of churn, or customers who have to work hard to get help are more likely to leave, regardless of whether they’re ultimately satisfied.
