NPS Benchmarks by Industry: What a Good Net Promoter Score Looks Like in 2026

A good NPS is generally above 0, favorable above 20, and excellent above 50, but the number only means something next to your own industry. SaaS and B2B software tend to sit around 30 to 40, ecommerce and retail around 40 to 45, financial services and insurance around 30 to 40, and telecom and utilities lower, often 20 to 30. The reason for the score matters far more than the score itself.

Net Promoter Score is easy to calculate and easy to misread. You subtract the percentage of detractors (0 to 6) from the percentage of promoters (9 to 10) and land on a number between -100 and +100. The trouble starts the moment someone asks whether that number is good, because the honest answer is that it depends entirely on who you are compared to. A 35 that would embarrass a consumer app is a strong result for a business insurer. This guide lays out the benchmarks by industry, explains why they differ so much, and covers the part most teams skip: finding out why your score is where it is.

What is a good NPS score?

A good NPS score is anything above 0, because it means you have more promoters than detractors. Above 20 is considered favorable, above 50 is excellent, and above 80 is world-class and rare. Those thresholds come from the original Net Promoter research and hold up as a rough universal scale, but they flatten real differences between industries, sending methods and customer types, so treat them as a starting point rather than a verdict.

The single most useful comparison is not against a global threshold at all. It is against your own score last quarter. A score that climbs from 28 to 34 tells you something is working; a flat 45 that has not moved in a year is quietly telling you that your loyalty is stalled even though the absolute number looks healthy. For a fuller treatment of the thresholds themselves, we cover what a good NPS score means in its own guide.

NPS benchmarks by industry

Published industry benchmarks vary by source, sample and year, so the ranges below are approximate and meant for orientation, not as hard targets. Different providers survey different companies with different methods, and a benchmark that averages a hundred enterprise vendors will not describe your niche precisely. Use these to know roughly where your industry clusters, then anchor on your own trend.

Notice the spread. A telecom hitting 30 is doing genuinely well for its category, while a professional services firm at 30 is underperforming badly. If you benchmark against the wrong industry, or against a global average, you will either celebrate a mediocre result or panic over a strong one.

Why do NPS benchmarks differ so much by industry?

Three forces explain most of the variation. First, switching cost: industries where leaving is painful, like banking or enterprise software, keep customers who are not actually enthusiastic, which suppresses promoters and inflates passives. Second, emotional stakes: a category people care about and enjoy earns easy 9s and 10s, while a commodity utility earns indifferent 7s no matter how well it runs. Third, survey timing and method: an in-app survey sent right after a win scores higher than an email blast to your whole base, so two companies with identical loyalty can report scores 15 points apart purely from how they ask.

That last point is why cross-company comparison is so slippery. Before you read anything into a gap between your score and a benchmark, confirm you are measuring the same way: relational surveys sent to a representative sample behave very differently from transactional surveys fired after a support ticket. A meaningful comparison controls for method; a careless one compares your quarterly relationship survey to someone else's post-purchase pulse and draws confident, wrong conclusions.

What is the average NPS across all industries?

The cross-industry average tends to land somewhere in the 30s, but that figure is almost useless on its own. It blends world-class consumer brands with low-affection utilities into a number that describes no real company. Averaging NPS across industries is like averaging the height of jockeys and basketball players: the result is arithmetically true and practically meaningless. Use the all-industry figure only to sanity-check that you are not wildly off scale, then discard it in favor of your category and your own history.

How do you improve your NPS score?

You improve NPS by understanding the reason behind the number, not by chasing the number. The score is a lagging indicator; the leading indicators are the specific frustrations that turn a would-be promoter into a passive or a detractor. Raising the score means finding those frustrations, ranked by how many people they affect and how much revenue sits behind them, and fixing the ones at the top.

That is exactly where most NPS programs stall. The score gets tracked on a dashboard, the open-ended comments go unread, and nobody can say why the number moved. The fix is to treat the verbatim answers as the real data. Read them at scale, cluster them into themes, and tie each theme to who said it, so a two-point drop arrives with a named cause you can act on. Pull your responses into a spreadsheet to start, or if they already live in a warehouse, ask an AI data analyst to break the score down by segment in plain English. Then close the loop by fixing the top themes and telling customers what changed.

Software built for this does the theming and the linking for you. NPS software that reads the open text, groups it into ranked themes, and joins each theme to product behavior turns a bare score into a to-do list. Instead of knowing your NPS is 34, you know it is 34 because onboarding confusion and a slow mobile app are producing most of your detractors, with the exact comments to prove it. That is the difference between measuring loyalty and improving it, and it is the reason to connect your customer satisfaction survey software to the rest of your customer signals rather than reading it alone.

How often should you measure NPS?

For a relationship-level score, quarterly is the standard cadence: frequent enough to catch a trend, spaced enough to let changes take effect and to avoid survey fatigue. Transactional NPS, sent after a specific interaction like a support resolution or a renewal, can run continuously because each survey ties to a fresh event. Many teams run both: a quarterly relational pulse for the headline number and always-on transactional surveys for the operational detail.

Whatever cadence you choose, keep it consistent. Changing your sending method or timing mid-year breaks the comparison you care about most, your own trend, and reintroduces exactly the method noise that makes cross-company benchmarks unreliable. Pick a rhythm, hold it, and let the movement over time do the talking.

The takeaway on NPS benchmarks

Benchmarks are a map, not a scoreboard. Use them to learn roughly where your industry sits, to avoid comparing yourself against a category that plays by different rules, and to sanity-check that your score is on a sensible scale. Then set the benchmark aside and focus on the two things that actually drive the business: your score's direction over time and the specific, named reasons behind it. A company that knows why its NPS is 34 and is moving it to 38 will out-execute a company that knows only that a competitor reported 41.