Customer Satisfaction Score
Definition
Customer Satisfaction Score (CSAT) is a widely used customer experience metric collected through brief surveys sent immediately after a customer interaction — a support ticket resolution, a chat session, a product feature use, or a purchase. The standard CSAT question is 'How satisfied were you with [this experience]?' with a 1-5 or 1-10 scale. The CSAT score is calculated as the percentage of respondents giving a positive rating (typically 4-5 on a 5-point scale). CSAT measures satisfaction with a specific, recent interaction, making it valuable for assessing support quality, product feature satisfaction, and individual agent performance.
Why It Matters
CSAT provides immediate, actionable feedback on support quality. Unlike NPS (which measures overall loyalty) or CES (which measures effort), CSAT is interaction-specific and close-to-the-moment — customers can accurately recall their satisfaction with a conversation that just ended. High CSAT correlates with customer retention; low CSAT is a leading indicator of churn risk. For AI chatbot deployments, CSAT scores on chatbot-handled interactions versus human-handled interactions reveal whether the AI is meeting customer expectations, guiding optimization priorities.
How It Works
CSAT surveys are triggered automatically after defined interaction types — ticket closure, chat session end, call completion. The survey is typically sent via email or shown in-app within minutes of the interaction. Response rates for in-channel surveys (shown immediately in the chat) are much higher than email follow-ups. Once collected, CSAT scores are aggregated in the help desk analytics dashboard and can be segmented by channel, agent, issue category, customer segment, or time period. Individual low-scoring interactions (typically below 3/5) are flagged for quality review and potential customer recovery follow-up.
CSAT Measurement Cycle and Trend
Cycle
Satisfied / Total × 100
= 87%
6-Month Trend
Industry avg
82%
Your score
87%
Goal
90%
Real-World Example
A 99helpers customer tracks CSAT separately for AI chatbot-handled conversations and human agent-handled conversations. AI chatbot CSAT averages 3.8/5 while human agent CSAT averages 4.6/5. Analysis of low-scoring chatbot interactions reveals that they cluster around two issue types: billing disputes and complex technical errors. The customer reconfigures their chatbot to immediately escalate these issue types to human agents rather than attempting self-service. Overall blended CSAT improves from 4.1 to 4.5 within 60 days.
Common Mistakes
- ✕Using CSAT as the only customer satisfaction metric — CSAT measures interaction satisfaction, not overall loyalty; combine with NPS and CES for a complete picture
- ✕Sending CSAT surveys too long after the interaction — memory fades quickly; surveys sent more than 24 hours after an interaction have lower response rates and less accurate ratings
- ✕Not following up on low CSAT scores — a low-rated interaction is a recovery opportunity; proactive follow-up can rescue relationships that would otherwise churn
Related Terms
Net Promoter Score
Net Promoter Score (NPS) is a customer loyalty metric that asks customers how likely they are to recommend a company to others on a 0-10 scale, classifying them as Promoters, Passives, or Detractors.
Customer Effort Score
Customer Effort Score (CES) measures how much effort a customer had to expend to resolve an issue or complete a task, using a simple survey question about the ease of their experience.
Customer Experience
Customer experience (CX) is the overall perception a customer forms from every interaction with a brand across the entire customer journey, from first awareness through purchase, onboarding, support, and renewal.
Customer Support
Customer support is the set of services and processes an organization provides to help customers successfully use its products or services, resolve issues, and achieve their desired outcomes.
First Contact Resolution
First contact resolution (FCR) is the percentage of customer support interactions resolved completely during the first contact, without requiring the customer to follow up or the issue to be escalated.
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