Quick Answer (TL;DR)
Customer Satisfaction (CSAT) measures satisfaction rating for a specific interaction. The formula is Sum of satisfied responses / Total responses x 100. Industry benchmarks: 75-85%. Track this metric when measuring specific touchpoint quality.
What Is Customer Satisfaction (CSAT)?
Satisfaction rating for a specific interaction. The American Customer Satisfaction Index (ACSI) provides national and industry-level CSAT benchmarks that product teams can use for context. This is one of the core metrics in the referral metrics category and is essential for any product team serious about data-driven decision making.
Customer Satisfaction (CSAT) measures the organic growth potential of your product. Referral and word-of-mouth metrics are powerful because they represent growth that does not require proportional increases in marketing spend.
Understanding customer satisfaction (csat) in context, alongside related metrics, gives you a more complete picture than tracking it in isolation. Use it as part of a balanced metrics dashboard.
The Formula
Sum of satisfied responses / Total responses x 100
How to Calculate It
Suppose you measure sum of satisfied responses at 500 and total responses at 2,000 in a given period:
Customer Satisfaction (CSAT) = 500 / 2,000 x 100 = 25%
This tells you that one quarter of the base is converting or meeting the criteria.
Benchmarks
75-85%
Benchmarks vary significantly by industry, company stage, business model, and customer segment. Use these ranges as starting points and calibrate to your own historical data over 2-3 quarters. Your trend matters more than any absolute number. Consistent improvement is the goal.
When to Track Customer Satisfaction (CSAT)
When measuring specific touchpoint quality. Specifically, prioritize this metric when:
- You are building or reviewing your metrics dashboard and need referral indicators
- Leadership or investors ask about referral performance
- You suspect a change in product, pricing, or go-to-market strategy has affected this area
- You are running experiments that could impact customer satisfaction (csat)
- You need a quantitative baseline before making a strategic decision
How to Improve
- Make sharing frictionless. Reduce the steps required to refer someone. Pre-written messages, one-click sharing, and in-product referral prompts significantly increase participation rates.
- Incentivize both sides. The most effective referral programs reward both the referrer and the referred user. Two-sided incentives increase conversion 2-3x compared to one-sided rewards.
- Time referral asks strategically. Ask for referrals immediately after a user experiences a moment of delight. Completing a milestone, receiving positive results, or upgrading their plan.
- Close the feedback loop. Collecting scores is only valuable if you act on them. Route low scores to the right team for follow-up and track improvement over time. Qualtrics' guide to CSAT methodology covers best practices for survey design, timing, and closed-loop follow-up.
Common Pitfalls
- Survey fatigue. Over-surveying your users leads to low response rates and selection bias. Collect scores at strategic moments rather than constantly.
- Measuring program activity instead of outcomes. Referral invites sent is a vanity metric. Track actual conversions and the downstream revenue generated by referred customers.
- Measuring without acting. Tracking this metric is only valuable if you have a process for reviewing it regularly and a playbook for responding when it moves outside acceptable ranges.
Related Metrics
- Invites Sent Per User: average referral invitations per active user
- Customer Effort Score (CES): ease of completing a task or resolving an issue
- Referral Conversion Rate: percentage of referred users who sign up
- Review Rating: average rating on third-party review sites
- Product Metrics Cheat Sheet: complete reference of 100+ metrics