NPS Benchmarks in Netherlands

Last update: July 1, 2026

Next update: August 1, 2026

What this benchmark says about Netherlands

This page tracks how customer loyalty compares across businesses in Netherlands. The current benchmark for Jun 2026 is 30.2, giving teams a national reference point before drilling down into city-level differences and industry-specific patterns.

Country pages are especially useful when you need to separate local volatility from broader market movement. They help you see whether a change in your own NPS is a company issue, a regional pattern, or part of a wider shift in customer expectations.

Amsterdam currently leads the visible city-level benchmark set at 33.2, while Hotels and Resorts is the strongest industry in Netherlands at 44.7. Those two reference points help frame what “strong” looks like in this market right now.

Key insights

  • Amsterdam is currently the strongest visible city benchmark in Netherlands with an NPS of 33.2.
  • Hotels and Resorts is currently the strongest industry benchmark in this market with an NPS of 44.7.
  • Use the city and industry tables below to distinguish nationwide trends from more localized performance patterns.

How to interpret this benchmark

  • Compare your own score first with the national benchmark, then with the strongest city and strongest industry to understand whether your gap is structural or local.
  • A country benchmark is most useful when local results are noisy. If your city is moving differently from the national line, that often points to local competition or regional demand shifts.

Netherlands

Limited data: this report currently has only 1 month of history. Trends and comparisons may be unstable until more months are collected.

Netherlands NPS (Overall)

Last MonthN/An/a
6 Months AgoN/An/a
12 Months AgoN/An/a

Netherlands NPS Evolution (Overall)

Top markets this month in Netherlands

  • Amsterdam is currently at 33.2 NPS.
  • Eindhoven is currently at 30.7 NPS.
  • Utrecht is currently at 30.7 NPS.

Netherlands's Cities Overview — All Industries combined

# City NPS Δ vs 1M Δ vs 6M Δ vs 12M
1 Amsterdam 33.2 n/a n/a n/a
2 Eindhoven 30.7 n/a n/a n/a
3 Groningen 28.7 n/a n/a n/a
4 Maastricht 28.7 n/a n/a n/a
5 Rotterdam 29.7 n/a n/a n/a
6 The Hague 29.7 n/a n/a n/a
7 Utrecht 30.7 n/a n/a n/a

Industries Overview — Netherlands (All Cities Combined)

# Industry NPS Δ vs 1M Δ vs 6M Δ vs 12M
1 Airlines 27.6 n/a n/a n/a
2 Apparel 25.4 n/a n/a n/a
3 Automotive Dealers and Service 30.4 n/a n/a n/a
4 B2B SaaS: Core Apps 38.6 n/a n/a n/a
5 Car Manufacturers 32.4 n/a n/a n/a
6 Consumer Electronics 27.4 n/a n/a n/a
7 Consumer Services 30.4 n/a n/a n/a
8 Cosmetics and Beauty 31.4 n/a n/a n/a
9 Energy and Utilities 15.4 n/a n/a n/a
10 Entertainment and Streaming 24.4 n/a n/a n/a
11 Fintech and Digital Banking 41.7 n/a n/a n/a
12 General Retail, Multicategory 30.4 n/a n/a n/a
13 Hotels and Resorts 44.7 n/a n/a n/a
14 Internet Service Providers 19.4 n/a n/a n/a
15 Luxury Goods 44.6 n/a n/a n/a
16 Packaged Food and Beverage 22.4 n/a n/a n/a
17 Quick Service Restaurants 25.4 n/a n/a n/a
18 Restaurants, Full Service 30.7 n/a n/a n/a
19 Sports Teams and Leagues 31.6 n/a n/a n/a
20 Supermarkets and Grocery 28.4 n/a n/a n/a

Continue exploring related benchmarks

Compare nearby geographies and sector pages to understand whether benchmark shifts come from the local market, the national context or the industry itself.

Amsterdam benchmarks
Top city benchmark
Eindhoven benchmarks
Top city benchmark
Utrecht benchmarks
Top city benchmark
Rotterdam benchmarks
Top city benchmark
Hotels and Resorts benchmarks
Top industry benchmark
Luxury Goods benchmarks
Top industry benchmark
Fintech and Digital Banking benchmarks
Top industry benchmark

Frequently asked questions about Netherlands

A good NPS depends on the industry, but this country page gives you the national baseline for the latest month so you can compare your own score against an up-to-date market reference.

City scores can diverge because of local competition, service consistency, customer mix, review volume and seasonal demand patterns. That is why country-level and city-level views should be read together.

Start with the country to understand market context, then check the industry table to see whether your sector typically overperforms or underperforms the national average.

What does this report deliver?

The NPS Index Report gives you a clear view of customer loyalty across the markets that matter. Each month we compile Net Promoter Score benchmarks for key industries and break them down by country, region, and city. You see your space at a glance. Then you see your context. That combination turns NPS from a single number into a decision tool. Trends become visible. Seasonality is obvious. Outliers no longer trick you.

This report is built for operators and analysts who need to act. You get clean monthly snapshots, directional movement, and variance indicators that highlight where to dig. Want to know if your 3-point dip is noise or a real shift? You will know. Need to brief the team with one chart per market plus a short narrative? Done. Use the benchmarks to set realistic targets, size the gap to leaders, and test if new initiatives are moving the needle.

Data History

  • From January 2024: Data is available for Canada and the United States.
  • From September 2025: Data collection expands to include France, Spain, Italy and Germany.
  • From June 2026: Data collection expands to include Mexico, Portugal, Netherlands, Belgium, United Arab Emirates and Qatar.

Methodology

We aggregate public review data from platforms such as Google, TripAdvisor, and Yelp via a multi-source API, ingesting continuously and snapping everything to monthly windows. Listings are matched to real businesses using name, address, and category signals; duplicates and closed venues are removed to protect panel integrity.

Every review passes spam and anomaly checks that include burst detection, reviewer history scoring, language verification, and platform cross-validation. We run NLP to identify intent and experience dimensions, map native 0–10 recommendation answers directly when present, and otherwise infer promoter, passive, and detractor classes from text and rating context with calibrated thresholds. For each industry and geography, NPS is computed as promoters minus detractors, with Bayesian smoothing to stabilize low-volume samples and confidence ranges published alongside the point estimate.

We normalize categories to a unified industry taxonomy, align time zones, standardize language, and apply weighting so large markets do not overpower smaller ones within a region. Monthly values are reported as exact snapshots, and a rolling three-month view clarifies trend direction while preserving month-to-month comparability. We publish a monthly NPS only when minimum sample size and coverage criteria are met, with methods, thresholds, and known limitations disclosed in the report's technical notes.

Finally, models and pipelines are audited continuously with backtests and drift checks, and any detected bias or source change triggers a documented review and re-calibration.

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