Quick Answer
CSAT vs NPS — what's the difference?
- CSAT measures satisfaction with a specific interaction — post-support, post-purchase, post-onboarding. It's a transactional metric.
- NPS measures overall loyalty and likelihood to recommend. It's a relationship metric, tracked quarterly not per interaction.
- Use CSAT when you want to improve specific touchpoints. Use NPS when you want to track long-term brand loyalty.
- Use both when you manage B2B accounts — CSAT tells you how individual interactions are landing, NPS tells you whether the relationship is healthy overall.
- The metric CSAT and NPS can't tell you: whether your email response times are driving satisfaction down before customers even fill out a survey. See how email analytics connects to CSAT and NPS outcomes →
In today's competitive landscape, customer satisfaction reigns supreme. Businesses that prioritize happy customers not only foster loyalty but also reap the rewards of increased revenue, positive word-of-mouth marketing, and a thriving brand reputation.
To gauge this satisfaction, we rely on powerful metrics like CSAT (Customer Satisfaction) and NPS (Net Promoter Score). However, a debate often arises: CSAT vs. NPS – which one does your business really need? This guide covers both metrics in depth, including the survey questions that work best for each, benchmark scores by industry, and how email response time data connects to both outcomes.
What is CSAT?
CSAT (Customer Satisfaction Score) measures how satisfied customers are with a specific product, service, or interaction. It is a transactional metric — it captures sentiment at a specific moment in the customer journey, immediately after an interaction occurs.
Formula:
CSAT = (Number of satisfied customers ÷ Total number of responses) × 100
Satisfied customers are typically those who rated 4 or 5 on a 1–5 scale.
Benchmark: 85%+ is the target for most B2B support teams. Industry averages range from low 60s (airlines, utilities) to high 80s (hospitality, luxury goods).
Benefits of measuring CSAT:
- Actionable insights on specific interactions — identifies exactly where the customer experience is breaking down
- Fast feedback loop — surveys sent immediately after an interaction capture sentiment while it's fresh
- Identifies individual agent performance issues — CSAT by agent reveals who needs coaching
What is NPS?
NPS (Net Promoter Score) measures customer loyalty and the likelihood of customers recommending a company to others. Unlike CSAT, NPS is a relationship metric — it captures overall sentiment about the brand, not a specific interaction.
Formula:
NPS = % Promoters (score 9–10) − % Detractors (score 0–6)
Passives (score 7–8) are excluded from the calculation.
Benchmark: Above 50 is excellent for B2B SaaS. Track quarterly, not monthly.
Benefits of measuring NPS:
- Predictive of future business growth — high NPS correlates with higher customer lifetime value
- Easy to benchmark across industries and competitors
- Drives customer-centric culture — the entire company can rally around a single loyalty number
CSAT vs NPS: key differences
| CSAT | NPS | |
|---|---|---|
| What it measures | Satisfaction with a specific interaction | Overall loyalty and likelihood to recommend |
| Metric type | Transactional | Relational |
| When to send | Immediately after interaction | Quarterly or at lifecycle milestones |
| Scale | 1–5 (satisfaction rating) | 0–10 (likelihood to recommend) |
| Good score (B2B SaaS) | 85%+ | 50+ |
| Best for | Improving specific touchpoints | Tracking long-term brand loyalty |
| Limitation | Lagging indicator — captures after the fact | Weak predictor of individual renewals |
CSAT vs NPS vs CES
A third metric often enters the conversation: Customer Effort Score (CES), which measures how easy it was for a customer to get their issue resolved.
| CSAT | NPS | CES | |
|---|---|---|---|
| Core question | How satisfied were you? | Would you recommend us? | How easy was it to resolve your issue? |
| Best predictor of | Repeat purchase intent | Long-term loyalty and advocacy | Churn prevention |
| When to use | After support, purchase, onboarding | Quarterly relationship check-in | After support ticket resolution |
CSAT survey questions: what to include
The core CSAT question is always some variation of: "How satisfied were you with [specific interaction]?" on a 1–5 scale. But the follow-up questions you add determine how actionable your data is.
The core CSAT question
How satisfied were you with the support you received today?
- Very satisfied
- Satisfied
- Neutral
- Dissatisfied
- Very dissatisfied
Send this immediately after the interaction — response rates drop significantly after 24 hours.
Follow-up questions for customer support CSAT
- Was your issue fully resolved during this interaction? (Yes / No / Partially) — measures First Contact Resolution Rate
- How would you rate the response time you received? (1–5) — directly connected to email response time data
- How knowledgeable was the support agent? (1–5)
- Is there anything we could have done better? (open text) — always include one open-ended question
Follow-up questions for onboarding CSAT
- How easy was it to get started with our product? (1–5)
- Did you feel supported during the onboarding process? (Yes / No / Somewhat)
- What would have made your onboarding experience better? (open text)
Follow-up questions for post-purchase CSAT
- Did our product meet your expectations? (1–5)
- How likely are you to purchase from us again? (1–5)
- What influenced your satisfaction most? (multiple choice: product quality / delivery speed / customer service / price)
CSAT survey best practices
- Keep it short — 2–3 questions maximum. Response rates drop sharply above 3 questions.
- Send immediately — within 30 minutes of the interaction closing for support CSAT, within 24 hours for onboarding.
- Be specific — “How satisfied were you with the support you received today?” outperforms “How satisfied are you with us?”
- Always include one open text field — quantitative scores tell you what, qualitative feedback tells you why.
- Segment by agent and tier — team averages hide individual performance problems and tier-level service gaps.
The CSAT blind spot: what surveys can't tell you
CSAT surveys capture satisfaction after the fact. By the time a customer fills out a survey, the interaction is already over — and if they were dissatisfied, the damage is already done.
The most powerful leading indicators of CSAT outcomes live in email data, before any survey is sent:
- Response time by client account — research consistently shows that customers who receive responses within 2 hours rate support 15–20 CSAT points higher than those waiting 8+ hours, even when resolution quality is identical.
- First Contact Resolution Rate — the single strongest predictor of CSAT. Threads with 3+ back-and-forth exchanges correlate directly with lower satisfaction scores.
- Email engagement trends — a client whose email frequency has dropped 40% over 90 days is showing early churn signals that no CSAT survey will catch until it's too late.
Email Meter tracks all three of these signals automatically from Gmail and Microsoft 365 — giving CS and support teams visibility into satisfaction drivers before surveys are sent. For the full breakdown, see our email analytics for customer success teams guide and our 90-day churn warning guide.
When to use CSAT vs NPS
Choose CSAT when:
- You need to evaluate a specific touchpoint — post-support, post-purchase, post-onboarding
- You want actionable data fast — CSAT surveys can be analyzed within days
- You're coaching individual agents — CSAT by agent reveals specific performance gaps
- You want to track the impact of process changes — CSAT shows before/after quickly
Choose NPS when:
- You want to benchmark against competitors or industry averages
- You're tracking long-term relationship health across your entire customer base
- You want a single metric to rally the whole company around customer loyalty
- You're measuring the impact of strategic initiatives over months, not days
Use both when:
For most B2B SaaS teams managing ongoing client relationships, both metrics serve different purposes and answer different questions. CSAT tells you whether individual interactions are landing well. NPS tells you whether the overall relationship is on track for renewal. Neither metric tells you whether your email response times are silently eroding satisfaction before any survey is sent — that requires email analytics. See our customer service performance metrics guide for a complete breakdown of the KPIs that connect email data to CSAT and NPS outcomes.
What is a good CSAT score?
| Industry | Good CSAT | Average CSAT |
|---|---|---|
| B2B SaaS | 85%+ | 75–80% |
| Hospitality / luxury | 90%+ | 85–90% |
| Retail / e-commerce | 80%+ | 73–80% |
| Telecom / finance | 75%+ | 65–75% |
| Airlines / utilities | 70%+ | 60–70% |
What is a good NPS score?
| NPS score | Rating |
|---|---|
| 70–100 | Excellent — strong brand advocacy |
| 50–69 | Good — satisfied customer base |
| 30–49 | Average — needs improvement |
| Below 30 | Poor — high churn risk |
Best tools to measure CSAT and NPS
| Tool | Best for | CSAT | NPS | Free plan |
|---|---|---|---|---|
| SurveyMonkey | General surveys | ✅ | ✅ | ✅ Limited |
| Delighted | Simple CSAT/NPS | ✅ | ✅ | ✅ Limited |
| Typeform | Visual surveys | ✅ | ✅ | ✅ Limited |
| GetFeedback | Salesforce users | ✅ | ✅ | ❌ |
| Medallia | Enterprise CX | ✅ | ✅ | ❌ |
What none of these tools measure: the email response times and engagement patterns that determine how satisfied customers are before they ever fill out a survey. Email Meter complements any of the tools above by tracking the email-level signals that drive CSAT and NPS outcomes — directly from Gmail and Microsoft 365.
Start your free trial — see your team’s email performance data in minutes
Book a demo — we’ll show you how email response time correlates with your CSAT scores
Frequently asked questions
What is the difference between CSAT and NPS?
CSAT measures satisfaction with a specific interaction — a support ticket, a purchase, an onboarding session. NPS measures overall loyalty and likelihood to recommend, tracked over time. CSAT is transactional; NPS is relational. For B2B teams, both are useful but answer different questions: CSAT tells you how interactions are landing, NPS tells you whether the relationship is on track for renewal.
What is a good CSAT score?
For B2B SaaS teams, 85%+ is the target. Industry averages range from high 80s in hospitality and luxury to low 60s in airlines and utilities. More important than the absolute number is the trendline — a CSAT that has dropped 5 points over two quarters is a warning sign regardless of its absolute value.
What questions should I include in a CSAT survey?
The core question is always a variation of “How satisfied were you with [specific interaction]?” on a 1–5 scale. Add 1–2 follow-up questions depending on the context: for support CSAT, ask whether the issue was resolved and how the response time was. For onboarding CSAT, ask about ease of getting started. Always include one open-text question. Keep total survey length to 2–3 questions maximum.
What is csat vs nps vs ces?
CSAT measures satisfaction with a specific interaction. NPS measures overall loyalty. CES (Customer Effort Score) measures how easy it was to resolve an issue. CES is the strongest predictor of churn prevention — high-effort interactions are the fastest path to losing customers. For post-support interactions, CES is often more predictive than CSAT.
How does email response time affect CSAT?
Research consistently shows that customers who receive email responses within 2 hours rate their support experience 15–20 CSAT points higher than those waiting 8+ hours, even when resolution quality is identical. Response time is the single most controllable driver of CSAT for email-based support teams. For benchmarks by industry and account tier, see our SLA response time guide.
Should I use CSAT or NPS for B2B SaaS?
Both, for different purposes. Use CSAT at the interaction level — post-support, post-onboarding, post-QBR. Use NPS quarterly to track overall account health and loyalty. Neither metric replaces email engagement data, which is the only leading indicator of churn available before any survey is sent.
