NPS (Net Promoter Score): Definition and Use Cases
What is NPS (Net Promoter Score)?
Net Promoter Score (NPS) is a customer loyalty metric based on a single question: “How likely are you to recommend this company to a friend or colleague?”, scored on a 0-to-10 scale. Bain & Company introduced the concept in a 2003 Harvard Business Review article, and it’s since become one of the most widely adopted loyalty metrics in customer service. In a call center context, it’s often measured right after a support interaction, giving a read on how that specific conversation affected the customer’s overall willingness to vouch for the business.
How the score is calculated
Respondents are grouped into three categories based on their rating: promoters (9-10), passives (7-8), and detractors (0-6). NPS is the percentage of promoters minus the percentage of detractors, producing a score that can range from -100 to +100. A score of 0 means promoters and detractors are evenly balanced; a positive score means promoters outnumber detractors, and passives, despite being a neutral-sounding middle group, don’t count toward the score at all. For example, if 60% of respondents are promoters, 25% are passives, and 15% are detractors, the NPS is 60 minus 15, or 45.
NPS vs. CSAT
NPS and CSAT (customer satisfaction score) are often used together but measure different things. CSAT typically asks how satisfied a customer was with one specific interaction, and it’s a strong short-term signal of how that particular call went. NPS asks a broader relationship question about whether the customer would recommend the business overall, which can be influenced by more than just the last call, previous experiences, product quality, and the brand’s reputation all bleed into it. A customer can rate a specific call highly on CSAT while still giving the company a mediocre NPS score, if their overall relationship with the brand is lukewarm.
Why call centers track NPS specifically
Every customer service interaction is a moment where loyalty can be reinforced or eroded, and measuring NPS at that point lets a business isolate the effect of support quality on broader brand sentiment. A pattern of declining post-call NPS, even if CSAT for individual calls looks fine, can be an early signal that something about the support experience is quietly damaging the customer relationship in ways a single-call satisfaction score won’t catch.
Use cases
- Post-interaction surveys, measuring the loyalty impact of a specific support or sales conversation.
- Agent and team benchmarking, comparing NPS trends across agents or teams to spot who’s building or eroding customer loyalty.
- Longitudinal brand health tracking, following NPS over months or quarters to see whether broader changes, a new product, a policy change, are moving customer sentiment.
A limitation worth knowing
NPS is a lagging, relationship-level signal, not a diagnostic tool. A dropping score tells a business something is wrong but not what, which is why NPS is usually paired with an open-text follow-up question or analyzed alongside CSAT and call transcript data, rather than treated as a standalone verdict on service quality.
FAQs
What’s considered a good NPS score?
It varies by industry, but a positive score is generally considered decent, above 50 is often viewed as excellent, and scores above 70-80 are rare and typically associated with the strongest consumer brands.
How often should NPS be measured in a call center?
Many contact centers measure it continuously via post-call surveys, then review the trend weekly or monthly, since a single day’s score can be noisy while a sustained trend is more meaningful.
Can one bad support call really move a company’s overall NPS?
A single call rarely moves an aggregate company-wide score much, but it absolutely can shift that individual customer’s likelihood to recommend, and patterns across many similar calls do add up to a measurable shift over time.