Net Promoter Score Calculator

Calculator Inputs

Choose a calculation method, enter survey values, and generate an advanced loyalty summary with confidence intervals and benchmark comparison.

Survey name

Segment name

Input mode

Confidence level

Benchmark NPS

Score classes

Detractors 0-6, Passives 7-8, Promoters 9-10

Score Distribution Entry

Responses for score 0

Responses for score 1

Responses for score 2

Responses for score 3

Responses for score 4

Responses for score 5

Responses for score 6

Responses for score 7

Responses for score 8

Responses for score 9

Responses for score 10

Example Data Table

Survey Segment	Promoters	Passives	Detractors	Total Responses	NPS
Website Buyers	145	42	33	220	50.91
Mobile App Users	120	50	40	210	38.10
Support Ticket Closures	88	34	28	150	40.00

Formula Used

Promoter % = (Promoters ÷ Total Responses) × 100

Detractor % = (Detractors ÷ Total Responses) × 100

NPS = Promoter % − Detractor %

Mean Rating = Σ(Score × Count) ÷ Total Responses

Standard Error of NPS = 100 × √[(p_p + p_d − (p_p − p_d)²) ÷ n]

Margin of Error = z × Standard Error

Confidence Interval = NPS ± Margin of Error

Here, p_p is promoter share, p_d is detractor share, n is total responses, and z depends on the selected confidence level.

How to Use This Calculator

Enter the survey and segment names for reporting clarity.
Select either score distribution mode or direct category mode.
Input response counts for each score or category.
Choose a confidence level and benchmark target.
Click Calculate NPS to display the result above the form.
Review the score cards, interpretation, and charts.
Export the summary with the CSV or PDF buttons.

FAQs

1. What is a good net promoter score?

A positive score is generally acceptable. Scores above 30 are strong, above 50 are excellent, and above 70 are world-class in many industries.

2. Why are passives excluded from the formula?

Passives affect the total response base but do not directly raise or lower the score. They represent neutral customers with weaker advocacy impact.

3. Can this calculator use full score distributions?

Yes. Distribution mode accepts counts for scores 0 through 10, then automatically groups them into detractors, passives, and promoters.

4. Why does the calculator show a confidence interval?

The interval helps you judge uncertainty. Smaller samples create wider ranges, which means comparisons between surveys may be less reliable.

5. Can I compare the score with an internal target?

Yes. Enter your benchmark score to see whether the current result is above or below target and by how many points.

6. What sample size is best for stable NPS analysis?

Larger samples improve stability. The best size depends on the variation in responses, but a few hundred usually produce tighter intervals.

7. Does average rating replace NPS?

No. Average rating summarizes overall sentiment, while NPS specifically measures advocacy by comparing promoters against detractors.

8. When should I use direct counts mode?

Use direct counts mode when your survey platform already summarizes promoter, passive, and detractor totals, and you do not need score-level detail.