NPS vs CSAT
NPS asks how likely a customer is to recommend you, from 0 to 10, and reports promoters minus detractors. CSAT asks how satisfied they were, usually from 1 to 5, and reports the share who answer 4 or 5. Use NPS to track the relationship over time, CSAT to check a single interaction. Neither number says why; the comments do.
NPS and CSAT side by side
Both are one question with a scale and an optional comment box. Everything else differs.
| NPS (Net Promoter Score) | CSAT (customer satisfaction score) | |
|---|---|---|
| Question | How likely are you to recommend us? | How satisfied were you with this (order, ticket, visit)? |
| Scale | 0 to 10 | Usually 1 to 5 |
| Groups | Detractors 0 to 6, passives 7 and 8, promoters 9 and 10 | Satisfied 4 and 5; 1 to 3 are not |
| Formula | % promoters − % detractors | Answers of 4 and 5 ÷ all answers × 100 |
| Result | −100 to +100, written without a percent sign | 0 to 100 % |
| Measures | The relationship: would they put their name to you? | A moment: did this go well? |
| Likely range with 100 answers | About 15 points either way | About 8 points either way at a CSAT of 80 % |
| Calculator | NPS calculator | CSAT calculator |
What NPS measures
NPS asks about the future: would this customer recommend you? It sums up everything they have seen of you, so it moves slowly and suits a regular check, for example every quarter.
What CSAT measures
CSAT asks about the past: how did this go? It is usually tied to one touchpoint, so you send it right after the ticket, the delivery or the visit, and you can tell which part of the experience it describes.
When to use which
Pick by the decision you want to make, not by which number looks better in a report.
Can you convert NPS to CSAT?
No. There is no formula from one to the other, and any table that claims one is a guess.
Both have comments, and that is where the reasons are
Whichever score you run, the follow-up question (what is the main reason for your score?) holds the why. The step most teams skip is linking each reason to the score instead of only counting it.
In 4,000 public clothing reviews rated 1 to 5 stars, fit or size came up most. “Doesn’t look flattering” came up half as often but cost the average rating more. How to analyze survey comments.
Complaints mentioned most
- 1Fit or size32 %
- 2Doesn’t look flattering15 %
- 3Fabric10 %
What costs the most
- 1Doesn’t look flattering−0.14
- 2Fit or size−0.09
- 3Fabric−0.06
Share of reviews on the left. On the right, stars each theme costs the average rating. Data: Women’s E-Commerce Clothing Reviews, public domain (CC0). An effect is an association, not proof of cause.
Questions
Which is better, NPS or CSAT?
Neither in general. NPS fits a regular check on the whole relationship; CSAT fits a check right after one interaction, such as a support ticket or a delivery. Many teams run both, each for its own job.
Is NPS the same as customer satisfaction?
No. NPS asks whether a customer would recommend you; CSAT asks how satisfied they were. A satisfied customer can still be a passive or a detractor in NPS.
Can you convert CSAT to NPS?
No. They come from different questions on different scales with different cut-offs. To know both, ask both questions.
Should NPS be 0 to 10 or 1 to 10?
0 to 10. Detractors are 0 to 6, passives 7 and 8, promoters 9 and 10. A 1 to 10 scale shifts those groups and the result is no longer comparable.
Is 90 % customer satisfaction good?
It depends on the touchpoint, the channel and the timing. Compare it with your own earlier CSAT for the same touchpoint, and check whether a change is larger than the likely range.
Find out which reason costs you the most
The score says how many customers are unhappy. The comments say why. Leverboard measures which reason costs the most, for NPS on 0 to 10 and for 1 to 5 ratings, from a CSV or Excel export.
First analysis free. No card.
Net Promoter, Net Promoter Score and NPS are trademarks of Bain & Company, Inc., NICE Systems, Inc. and Fred Reichheld.