Net Promoter Score (NPS) is a customer loyalty metric that measures how likely customers are to recommend a company, product, or service to others, calculated by subtracting the percentage of detractors (scores 0-6) from the percentage of promoters (scores 9-10) on a 0-10 scale.
Net Promoter Score is one of the most widely used metrics in business for gauging customer loyalty and overall satisfaction. Introduced by Fred Reichheld in a 2003 Harvard Business Review article, NPS distills the complex question of customer loyalty into a single number that ranges from -100 to +100. The simplicity of the metric — one question, one number — is both its greatest strength and its most common criticism.
The NPS survey asks customers a single question: "On a scale of 0 to 10, how likely are you to recommend [company/product] to a friend or colleague?" Based on their response, customers are classified into three groups. Promoters (9-10) are loyal enthusiasts who will keep buying and refer others. Passives (7-8) are satisfied but unenthusiastic customers who are vulnerable to competitive offerings. Detractors (0-6) are unhappy customers who can damage your brand through negative word-of-mouth.
The NPS calculation is straightforward: subtract the percentage of Detractors from the percentage of Promoters. For example, if 60% of respondents are Promoters and 20% are Detractors, the NPS is 40. Passives are not included in the calculation but are counted in the total respondent pool, so a high percentage of Passives still lowers NPS by reducing the Promoter percentage.
NPS is particularly valuable as a relational metric — it captures overall sentiment toward the brand rather than satisfaction with a single interaction. This makes it complementary to transactional metrics like CSAT, which measures satisfaction with specific touchpoints. Many companies survey NPS quarterly or biannually to track long-term loyalty trends, while using CSAT for ongoing operational feedback.
The actionable value of NPS comes from the follow-up, not the score itself. Best practices include asking an open-ended follow-up question: "What is the primary reason for your score?" The qualitative responses from detractors reveal specific pain points, while promoter feedback highlights what to double down on. Closing the loop — following up with detractors to address their concerns — is what transforms NPS from a vanity metric into a driver of retention.
Calculate NPS using the formula: NPS = % Promoters (9-10) - % Detractors (0-6). Scores range from -100 to +100. A score above 0 is considered acceptable, above 30 is good, and above 50 is excellent. For B2B SaaS companies, the median NPS is approximately 30-40. Survey customers quarterly or biannually via email. Aim for a 20-30% response rate for statistical significance. Always include an open-ended follow-up question to understand the reasons behind scores. Segment NPS by customer cohort, plan tier, and tenure to identify which segments are most and least loyal.
Corebee's support quality directly influences NPS because customer support interactions are one of the strongest drivers of loyalty. By resolving routine inquiries instantly through AI and ensuring complex issues receive fast, informed human responses through the shared inbox, Corebee helps create the kind of low-effort support experiences that turn detractors into passives and passives into promoters. The analytics dashboard tracks support-related satisfaction trends that correlate with NPS movements.
Learn MoreCSAT (Customer Satisfaction) score is a metric that measures how satisfied customers are with a specific interaction, product, or service, typically collected through a post-interaction survey asking customers to rate their experience on a scale of 1-5 or 1-10.
Customer Effort Score (CES) is a customer experience metric that measures how much effort a customer had to exert to resolve their issue, complete a transaction, or get their question answered, typically measured on a 1-7 scale from "very low effort" to "very high effort."
Customer support KPIs (Key Performance Indicators) are quantifiable metrics that measure the effectiveness, efficiency, and quality of a company's customer support operations, including first response time, resolution time, CSAT score, ticket volume, and agent productivity.
Customer churn rate is the percentage of customers who stop using a product or cancel their subscription within a given time period, serving as a critical indicator of customer retention, product-market fit, and the overall health of a subscription-based business.
NPS measures overall loyalty and likelihood to recommend your company, while CSAT measures satisfaction with a specific interaction or experience. NPS is a relational metric surveyed periodically (quarterly or biannually), while CSAT is a transactional metric collected after individual interactions. Both are valuable — NPS for strategic health, CSAT for operational improvement.
For B2B SaaS companies, an NPS above 30 is considered good, and above 50 is excellent. The median for SaaS companies is approximately 30-40. However, the absolute number matters less than the trend — a rising NPS indicates improving customer loyalty. Compare your NPS to your own historical data and direct competitors rather than cross-industry benchmarks.
Most B2B SaaS companies survey NPS quarterly or biannually. More frequent surveys risk survey fatigue, while less frequent surveys miss important trends. Some companies use a rolling NPS approach, surveying a portion of customers each month so they have continuous data without over-surveying any individual customer.
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