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Net Loyalty Score (Net Promoter Score, NPS)

Sandra Roosna
Sandra Roosna
Askly CEO & Founder

A customer who gave you a 7 out of 10 doesn’t count toward your Net Promoter Score—even though they’re satisfied. That’s the counterintuitive reality of NPS, and why so many support teams misinterpret the metric they rely on to measure customer loyalty.

Net Promoter Score (NPS)—sometimes mistakenly called “Net Loyalty Score” or “Net Performance Score”—is a customer loyalty metric that measures how likely customers are to recommend your business. Developed by Fred Reichheld and Bain & Company in 2003, NPS has become the standard loyalty benchmark for approximately two-thirds of Fortune 1000 companies. Research from Bain shows that differences in NPS explain 10–70% of variation in subsequent revenue growth rates among direct competitors, and Net Promoter leaders grow more than two times faster than their peers.

But while NPS is simple to measure, it’s easy to implement poorly. The difference between a well-run NPS program and a broken one shows up directly in customer retention rates and revenue.

How NPS Works: The Question and the Formula

NPS starts with a single standardized question:

“On a scale of 0–10, how likely are you to recommend [our company/product/service] to a friend or colleague?”

Based on their response, customers fall into one of three categories. Promoters (9–10) are loyal, enthusiastic customers who will actively refer others. Passives (7–8) are satisfied but unenthusiastic customers who are vulnerable to competitors. Detractors (0–6) are unhappy customers unlikely to return—and likely to share negative experiences.

The formula is deceptively simple:

NPS = % Promoters – % Detractors

Passives are excluded from the calculation entirely. This means a customer scoring 7 contributes nothing to your NPS—despite being “satisfied.” This is by design: NPS measures loyalty, not satisfaction.

Example Calculation

Say you survey 100 customers. Sixty rate you 9–10 (Promoters), 25 rate you 7–8 (Passives), and 15 rate you 0–6 (Detractors).

NPS = 60% – 15% = +45

NPS scores range from –100 (every customer is a Detractor) to +100 (every customer is a Promoter).

Laptop analytics dashboard with charts and graphs for tracking NPS and trends

What’s a Good NPS Score?

Context matters more than the raw number. The general framework: Above +50 is excellent. 0 to +50 is good. Below 0 needs immediate improvement.

But industry matters significantly. According to IBM research, insurance companies average an NPS around 80, while cloud and hosting providers average just 39. Apple maintains an NPS around 72 in the technology sector—demonstrating what world-class customer experience can achieve.

In the UK, 2024 Satmetrix benchmarks show retail grocery averaging NPS 32 (Morrisons: 32; Tesco: 41), e-commerce averaging 28 (ASOS: 35; Amazon UK: 62), and financial services averaging 38 (Monzo: 65; Barclays: 29).

The key insight: compare your score to direct competitors, not cross-industry averages. A score of 35 might be exceptional in one sector and concerning in another.

Why NPS Predicts Growth (When Done Right)

NPS is a leading indicator, not a diagnostic tool. A declining score tells you that you have a problem, but not what the problem is or how to fix it. That’s where most teams go wrong.

Common NPS Mistakes That Skew Your Data

Ignoring Response Bias

NPS surveys with response rates below 15% skew heavily toward extremes—very happy and very angry customers respond, while the “satisfied middle” stays silent. According to Journal of Marketing Research findings, this means your score may overestimate both your Promoters and your Detractors while missing the Passives who represent your biggest churn risk.

Track response rates alongside your NPS. If you’re below 20%, your score is directional at best. Consider in-app or immediate post-interaction surveys to capture feedback when the experience is still fresh.

Cultural and Regional Differences

Qualtrics research found that UK respondents rate 5–10% lower than US counterparts on identical experiences. This matters if you’re comparing scores across regions or benchmarking against US-based competitors.

Segment NPS by region and create region-specific benchmarks. Don’t compare your UK score directly to a US benchmark without accounting for this systematic difference.

Failing to Close the Loop

An NPS survey without follow-up is just data collection theater. Qualtrics UK data shows that closing the loop with Detractors within 24 hours boosts retention by 15%. But most companies never contact Detractors at all—or do so weeks later when the moment has passed.

Build a rapid response protocol for Detractors. Assign ownership, set SLAs, and track resolution rates as rigorously as you track the NPS itself. Research on customer loyalty measurement shows that customers scoring below 7 are significantly more likely to churn within six months—making Detractor outreach your highest-ROI retention activity.

Using the Wrong Survey Type

There are two types of NPS surveys, and mixing them up destroys your data. Transactional NPS is sent immediately after a specific interaction (purchase, support call, delivery). Relational NPS measures overall brand perception at regular intervals.

Transactional NPS tells you what touchpoints are broken. Relational NPS tells you how your brand health is trending. You need both, but they measure different things and can’t be directly compared.

Run relational NPS quarterly to all customers and transactional NPS after key interactions. Label them clearly in your analytics and trend them separately.

How to Actually Use NPS to Improve Loyalty

Segment by Customer Value and Journey Stage

Don’t treat all Detractors equally. A Detractor who just purchased has different needs than one who’s been a customer for three years. Segment by customer lifetime value, tenure (new vs. established customers), product or service line, and transaction type. Bain UK research shows that segmenting NPS by transaction type—such as delivery versus in-store—improves actionability by revealing where specific operational issues live.

This helps you prioritize where to invest retention efforts for maximum ROI.

Combine NPS with Qualitative Feedback

The score is just a starting point. The open-ended “Why?” question that follows reveals the actual issues. A 2023 Tesco case study found that integrating verbatim analysis with CRM data identifies 70% of fixable issues that the score alone would miss.

Use text analytics or AI-powered sentiment analysis to categorize common themes in Detractor responses, then map those themes to specific operational improvements.

Track NPS Across Customer Journey Touchpoints

Rather than one global score, measure NPS at critical touchpoints along the customer journey: post-purchase, after support interactions, post-delivery, and at subscription renewal.

This reveals where in the journey you’re creating Promoters or Detractors—and where to focus operational improvements.

Use NPS to Optimize Your Support Channel Mix

Compare NPS scores from different support channels to understand which create better experiences. If AI-handled chats score consistently lower than human-handled interactions, that signals a training issue or a handoff problem—not necessarily that AI is ineffective.

Modern AI-powered support platforms help you strike the right balance by automating routine queries while seamlessly routing complex or high-emotion issues to human agents. This ensures customers get the right level of support at the right time—and your NPS reflects that balance.

Customer support video call illustrating human–agent assistance alongside digital support

Build Cross-Functional Response Teams

NPS isn’t just a customer service metric. A Harvard Business Review study found poor correlation between NPS and revenue growth in 40% of service sectors—often because NPS programs operate in silos without influence over product, operations, or pricing decisions.

Create cross-functional “Detractor task forces” that include product, operations, marketing, and support. Review Detractor themes monthly and assign ownership of systemic issues to the teams that can actually fix them.

NPS in a Multilingual, Global Context

If you operate internationally, language barriers can silently tank your NPS. Research shows that 72.4% of customers prefer to purchase from websites in their native language, and the same applies to support interactions.

A customer who can’t clearly articulate their issue—or who receives generic support because of language barriers—will rate you lower regardless of your product quality. Multilingual customer support addresses this directly: customers feel heard, issues get resolved faster, and NPS improves as a result.

Real-time translation and localized support also reduce customer effort, which directly impacts loyalty. Lower effort correlates more strongly with loyalty than delight, making language support one of your highest-leverage NPS improvement tactics for international businesses.

Combining NPS with Other Loyalty Metrics

NPS shouldn’t stand alone. For a complete view of loyalty, combine it with Customer Retention Rate (CRR), which measures actual behavior, not just intent to recommend; Customer Lifetime Value (CLV), which shows the financial impact of loyalty; and Customer Effort Score (CES)—research shows effort reduction predicts loyalty better than delight.

Using multiple metrics creates a more complete picture. You might have a decent NPS but declining retention—signaling that customers say they’d recommend you but don’t actually stick around. That gap points to a disconnect between perception and reality that a single metric would miss.

Learn more about building a comprehensive customer loyalty measurement system that integrates NPS with other key indicators.

The Technology Stack for Modern NPS Programs

Here’s what you need to run an effective NPS program at scale: a survey platform (Qualtrics, SurveyMonkey, or native tools in your CRM), a customer data platform to segment respondents and trigger targeted follow-ups, a support platform with AI to automate Detractor outreach and analyze qualitative feedback at scale, and an analytics dashboard to track trends, segment scores, and measure closed-loop resolution.

Modern AI-powered chat platforms can collect NPS scores in-conversation, automatically categorize feedback themes, and trigger alerts when scores drop below thresholds—turning NPS from a quarterly survey ritual into a continuous improvement system.

Getting Started: Your 30-Day NPS Action Plan

Week 1: Establish your baseline. Deploy a relational NPS survey to your full customer base, calculate your score and segment by customer value, tenure, and product line, and identify your industry benchmark for context.

Week 2: Build your rapid response system. Create Detractor outreach protocols with 24-hour SLAs, assign ownership for following up with Detractors, and draft response templates that acknowledge feedback and invite dialogue.

Week 3: Analyze qualitative feedback. Categorize open-ended responses into themes, map themes to specific operational or product issues, and prioritize fixes based on frequency and business impact.

Week 4: Launch targeted improvements. Implement 2-3 quick wins that address common Detractor complaints, launch transactional NPS at key journey touchpoints, and set up monthly NPS reviews with cross-functional teams.

NPS is a powerful loyalty metric—but only if you close the loop, segment intelligently, and take action on what you learn. The score itself doesn’t create loyalty. How you respond to it does. Understanding how customer service improves a business starts with measuring what matters, then acting on those insights to build stronger customer retention strategies.

Ready to start improving customer loyalty with better support experiences? Try Askly free for 14 days—our AI-powered chat platform helps you collect and act on NPS feedback in real time, with multilingual support across 100+ languages and seamless integration with your existing tools.