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CSAT (Customer Satisfaction Score)

Definition

CSAT (Customer Satisfaction Score) is a metric that measures how satisfied customers are with a specific interaction, product, or experience. It is typically measured by asking customers to rate their experience on a scale (1-5 or 1-10) immediately after an interaction.

How it works

CSAT is calculated as:

CSAT = (Number of satisfied responses / Total responses) x 100

Typically, responses of 4-5 (on a 5-point scale) are counted as "satisfied." A CSAT score of 80% means 80% of respondents rated their experience 4 or 5 out of 5.

CSAT is measured at the individual interaction level, making it different from NPS (which measures overall brand loyalty) or CES (which measures effort). It is the most common metric for evaluating customer support quality.

Why it matters

CSAT directly reflects whether customers feel their support issues were resolved effectively. High CSAT correlates with customer retention, positive reviews, and revenue growth. For AI chatbots, CSAT is the key metric for validating that AI resolution quality matches or exceeds human agent quality.

How Chatsy uses it

Chatsy includes message-level feedback (thumbs up/down) on AI responses, which functions as a CSAT signal. This feedback helps identify where the AI performs well and where it needs improvement, enabling continuous accuracy refinement.

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What else should I know about CSAT (Customer Satisfaction Score)?

Compare scores with your own baseline by channel and topic; public benchmarks vary widely by industry and survey method

Key takeaways

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Example scenarios

  1. 01

    Post-chat survey for AI interactions

    After an AI chatbot resolves a shipping question, the customer is asked "How helpful was this response?" on a 1-5 scale. A rating of 4 or 5 counts as satisfied. The aggregated score reveals the AI achieves 87% CSAT, on par with human agents.

  2. 02

    Comparing AI vs human CSAT

    A support team tracks CSAT separately for AI-resolved and human-resolved conversations. They discover AI scores 82% on billing questions but only 65% on technical troubleshooting, signaling where the knowledge base needs improvement.

  3. 03

    Real-time CSAT monitoring dashboard

    A support manager monitors a live CSAT dashboard that flags any topic dropping below 75% satisfaction. When "password reset" CSAT drops to 68%, they update the knowledge base article and see the score recover to 85% within a week.

Key takeaways

  • CSAT measures satisfaction with a specific interaction, typically on a 1-5 or 1-10 scale
  • Compare scores with your own baseline by channel and topic; public benchmarks vary widely by industry and survey method
  • CSAT is transactional (per-interaction) unlike NPS which measures overall brand loyalty
  • For AI chatbots, CSAT validates that automated resolution quality matches human agent quality
  • Message-level feedback (thumbs up/down) provides more granular CSAT data than post-conversation surveys

When it does not apply

  • You have under 50 conversations per month. Sample sizes are too small for stable averages.
  • Your customers will not respond to satisfaction prompts and the response rate is below 5%.

Frequently asked questions

It depends on your industry, channel, and survey method, so compare against your own baseline first. For published reference points, Kayako reports that 87% of live chat interactions receive positive satisfaction ratings, and Tidio reports that 75% of users were satisfied with their most recent chatbot interaction. For AI chatbots, aim for parity with your human agents on the same topics.

CSAT measures satisfaction with a specific interaction (transactional). NPS measures overall brand loyalty and likelihood to recommend (relational). Both are useful: CSAT for support quality, NPS for overall customer relationship health.

Measure after every support interaction for the most accurate data. Keep the survey short: a single 1-5 rating question with an optional comment field gets the most responses.

Yes, for common questions. Comm100 reported an average chatbot satisfaction rate of 87.58% in its benchmark data, and chatbots do best on straightforward queries (FAQs, order status, policy questions). CSAT drops for complex or emotional issues, which is why human handoff remains essential.

CSAT stands for Customer Satisfaction Score. It is a transactional metric: customers rate a specific interaction (a support chat, a purchase, a delivery) on a short scale, usually 1-5 or 1-10, and the score is reported as the percentage who chose the top one or two options.

In healthcare, "CSAT" usually still refers to Customer Satisfaction Score applied to patient experience. Note that in clinical contexts, CSAT can also be an unrelated abbreviation for Center for Substance Abuse Treatment, which is a US government agency, not a metric.

Related terms

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Further reading

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