NPS
Net Promoter Score—a customer loyalty metric derived from the question 'How likely are you to recommend us to a friend or colleague?' that segments respondents into Promoters, Passives, and Detractors.
Full Definition
Net Promoter Score (NPS), developed by Fred Reichheld and published in Harvard Business Review in 2003, measures customer loyalty and satisfaction through a single survey question: "On a scale of 0-10, how likely are you to recommend [company/product] to a friend or colleague?" Respondents are classified as Promoters (9-10 score), Passives (7-8 score), or Detractors (0-6 score). The NPS calculation is simply: Percentage of Promoters minus Percentage of Detractors, producing a score ranging from -100 (all detractors) to +100 (all promoters). Reichheld's original research correlated NPS with customer retention and revenue growth, establishing NPS as the primary customer experience metric in many industries. NPS effectiveness as a management metric depends critically on three factors: survey methodology (how and when customers are surveyed determines who responds—post-interaction NPS captures immediate service satisfaction; relationship NPS captures overall brand perception), follow-through on verbatim feedback (NPS without qualitative follow-up reveals the score but not the drivers—understanding why customers are detractors requires systematic analysis of open-ended comments or follow-up interviews), and closing the loop (contacting detractors to understand their specific concerns and address them converts some to promoters and generates specific operational intelligence). Companies that collect NPS without acting on the feedback generate customer frustration—respondents who share negative experiences and receive no response feel their feedback was valueless. Industry benchmark context is essential for NPS interpretation. A score of +40 is excellent in some industries (insurance, banking) and mediocre in others (consumer technology, where leaders achieve +70 and above). Comparing NPS to prior periods (trending improvement vs. decline) and to direct competitors (competitive benchmarking through shared-methodology surveys) provides more actionable context than absolute score alone. Internal segmentation—tracking NPS by customer size, product line, service level, or geography—identifies specific improvement opportunities that enterprise-wide averages obscure.
FAQs
What response rate is needed for NPS to be statistically reliable?
For enterprise customers, response rates of 20-30% are typical for email surveys; phone follow-up can achieve 60-80% response rates but at much higher cost. Statistical reliability for NPS requires a minimum of 30-50 responses per segment to provide meaningful confidence intervals—NPS calculated from 10 responses can swing 20+ points based on a single respondent's answer. Companies with small customer bases should supplement NPS with qualitative customer interviews to develop reliable insights from limited sample sizes.
How does Employee NPS (eNPS) differ from customer NPS?
Employee NPS (eNPS) applies the same methodology to employees: 'How likely are you to recommend this company as a place to work?' Research demonstrates a strong correlation between eNPS and customer NPS—disengaged employees deliver lower-quality customer experiences. Companies tracking both metrics can identify whether customer experience declines are driven by operational failures (visible in specific touchpoint NPS) or employee experience declines (visible in eNPS) before they reach the severity of customer churn.
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