NPS Benchmarks in France

Last update: July 1, 2026

Next update: August 1, 2026

What this benchmark says about France

This page tracks how customer loyalty compares across businesses in France. The current benchmark for Jun 2026 is 29.7, 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.

Toulon currently leads the visible city-level benchmark set at 34.8, while Hotels and Resorts is the strongest industry in France at 45.4. Those two reference points help frame what “strong” looks like in this market right now.

Key insights

  • Toulon is currently the strongest visible city benchmark in France with an NPS of 34.8.
  • Hotels and Resorts is currently the strongest industry benchmark in this market with an NPS of 45.4.
  • 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.

France

France NPS (Overall)

Last Month29.70.00 pts
6 Months Ago29.6-0.10 pts
12 Months AgoN/An/a

France NPS Evolution (Overall)

Top markets this month in France

  • Toulon is currently at 34.8 NPS.
  • Lyon is currently at 34.7 NPS.
  • Paris is currently at 34.2 NPS.

Biggest movers this month in France

  • Ajaccio shows the strongest month-over-month gain at +0.5 pts.
  • Toulon shows the weakest month-over-month move at -0.4 pts.

France's Cities Overview — All Industries combined

# City NPS Δ vs 1M Δ vs 6M Δ vs 12M
1 Ajaccio 33.2 +0.50 pts -0.10 pts n/a
2 Bordeaux 27.2 0.00 pts +0.40 pts n/a
3 Dijon 24.1 -0.20 pts 0.00 pts n/a
4 Lille 25.1 -0.10 pts +0.10 pts n/a
5 Lyon 34.7 -0.30 pts -2.00 pts n/a
6 Marseille 32.7 0.00 pts +0.90 pts n/a
7 Montpellier 32.7 +0.30 pts +0.60 pts n/a
8 Nantes 28.3 +0.10 pts -0.20 pts n/a
9 Nice 33.7 +0.50 pts +0.20 pts n/a
10 Orléans 26.4 +0.30 pts -0.20 pts n/a
11 Paris 34.2 -0.10 pts -0.30 pts n/a
12 Rennes 26.9 +0.30 pts +0.10 pts n/a
13 Rouen 25.2 0.00 pts -0.20 pts n/a
14 Saint-Etienne 32.7 -0.10 pts +0.20 pts n/a
15 Strasbourg 24.4 0.00 pts -0.30 pts n/a
16 Toulon 34.8 -0.40 pts -1.50 pts n/a
17 Toulouse 28.4 +0.10 pts +0.40 pts n/a

Industries Overview — France (All Cities Combined)

# Industry NPS Δ vs 1M Δ vs 6M Δ vs 12M
1 Airlines 24.2 -0.10 pts +1.00 pts n/a
2 Apparel 25.7 +0.20 pts +0.20 pts n/a
3 Automotive Dealers and Service 32.2 0.00 pts -0.60 pts n/a
4 B2B SaaS: Core Apps 38.2 +0.10 pts -0.60 pts n/a
5 Car Manufacturers 33.9 +0.30 pts -0.70 pts n/a
6 Consumer Electronics 25.2 -0.10 pts +0.90 pts n/a
7 Consumer Services 31.9 0.00 pts -0.50 pts n/a
8 Cosmetics and Beauty 31.8 -0.20 pts -0.20 pts n/a
9 Energy and Utilities 14.7 -0.20 pts -0.40 pts n/a
10 Entertainment and Streaming 24.5 +0.40 pts +1.40 pts n/a
11 Fintech and Digital Banking 37.8 -0.30 pts 0.00 pts n/a
12 General Retail, Multicategory 30.4 -0.20 pts -0.70 pts n/a
13 Hotels and Resorts 45.4 +0.10 pts -1.20 pts n/a
14 Internet Service Providers 18.3 -0.10 pts -0.40 pts n/a
15 Luxury Goods 39.7 +0.70 pts -0.60 pts n/a
16 Packaged Food and Beverage 21.4 +0.50 pts +0.10 pts n/a
17 Quick Service Restaurants 27.2 -0.10 pts -0.60 pts n/a
18 Restaurants, Full Service 32.7 +0.10 pts -0.10 pts n/a
19 Sports Teams and Leagues 30.2 -0.10 pts +0.70 pts n/a
20 Supermarkets and Grocery 27.8 +0.10 pts +0.10 pts 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.

Toulon benchmarks
Top city benchmark
Lyon benchmarks
Top city benchmark
Paris benchmarks
Top city benchmark
Nice benchmarks
Top city benchmark
Hotels and Resorts benchmarks
Top industry benchmark
Luxury Goods benchmarks
Top industry benchmark
B2B SaaS: Core Apps benchmarks
Top industry benchmark

Frequently asked questions about France

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.

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.

© 2026 npsBench