Customer Loyalty — Example Result

A real result computed from simulated respondents — a preview of what this method’s analysis looks like, not real survey data.

Analysis Settings

220 responses.

Executive Summary

220 respondents · NPS +4

This NPS study surveyed 220 respondents, yielding an overall score of +4 (Average) — 29.5% Promoters, 44.5% Passives, and 25.9% Detractors. Critically, this tracks real behavior: Promoters report 100% repurchase intent versus only 19.3% among Detractors — the NPS score is not just sentiment, it predicts what customers actually do next.

This round’s score

The share who would recommend, minus the share who would not. It sits between −100 and +100.

MetricValue
Respondents220
Survey period2026.05.11 – 2026.06.01
Net Promoter Score+4 (Average)
Promoters (9–10)65 (29.5%)
Passives (7–8)98 (44.5%)
Detractors (0–6)57 (25.9%)

Interpretation

65 would recommend, 98 are neutral and 57 would not. A higher score means promoters outweigh detractors. Look at what the 44.5% neutral customers experienced too — that is where an improvement can turn into a recommendation.

Responses by score

How many people chose each score from 0 to 10. The colour shows which group it falls into.

Detractors (0–6)Passives (7–8)Promoters (9–10)

Interpretation

NPS of +4 is considered Average. Promoters outnumber Detractors — more customers are likely to recommend than to discourage others.

Customer groups compared

Recommendation intent by how long they've been a customer, how often they use the product, and any other segment picked in the config panel.

By Customer Tenure

Less than 6 months n=60
+33
6–12 months n=55
+24
1–2 years n=45
-4
3–5 years n=30
-23
More than 5 years n=30
-53

By Usage Frequency

Daily n=41
+22
Weekly n=62
+26
Monthly n=57
-23
Rarely n=60
-7

What respondents said drove the score

Which aspect respondents said most influenced their score.

How it relates to the other questions askedkey finding

The other questions in the same survey, split by group. Useful for finding which part of the experience to improve.

GroupRepurchase intentActually recommendedWrote negative review
Promotersn=65100%91.8%11.5%
Passivesn=9884.7%64.9%27%
Detractorsn=5719.3%40%80%

Interpretation

Promoters' repurchase intent (100%) is far higher than Detractors' (19.3%) — NPS is tracking real purchase behavior here, not just sentiment.

How much the score could move

The same customers, asked again, would not give exactly this number. This is the range it would fall in.

Score

+4

Range (± 1.96 SE)

-5.8 ~ 13.8

Range (resampled 2000×)

-6.4 ~ 13.6

One person moves it by

0.455

Interpretation

With 220 responses the score sits in -5.8 to 13.8, a band 19.6 points wide, and a single respondent changing bucket moves it by 0.455. Read a change smaller than that band as not yet separable from who happened to answer.

Conclusions and next steps

Action points generated directly from the analysis results above.

1

Overall NPS is +4 (Average) — 29.5% Promoters, 44.5% Passives, 25.9% Detractors.

2

More than 5 years customers have the lowest NPS (-53) — the segment most at risk of churn.

3

"Product quality" is the most-cited driver of scores (35% of respondents) — the single biggest lever for moving NPS.

4

Promoters' repurchase intent (100%) is far higher than Detractors' (19.3%) — NPS is tracking real purchase behavior, not just sentiment.

5

80% of Detractors have actually written a negative review — this is a direct reputational risk, not a hypothetical one.

6

Track this same survey on a regular cadence (as waves in a Survey Series) to see whether the interventions above actually move the score.

NPS = Promoters% − Detractors%. Promoters: 9–10; Passives: 7–8; Detractors: 0–6. Repurchase intent = top-2-box on the repurchase-likelihood question. n = 220.

    Skari — AI Statistical Analysis Platform