NPS Benchmarks in Canada

Last update: June 1, 2026

Next update: July 1, 2026

What this benchmark says about Canada

This page tracks how customer loyalty compares across businesses in Canada. The current benchmark for May 2026 is 29.1, 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.

Toronto currently leads the visible city-level benchmark set at 32.7, while Hotels and Resorts is the strongest industry in Canada at 44.2. Those two reference points help frame what “strong” looks like in this market right now.

Key insights

  • Toronto is currently the strongest visible city benchmark in Canada with an NPS of 32.7.
  • Hotels and Resorts is currently the strongest industry benchmark in this market with an NPS of 44.2.
  • 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.

Canada

Canada NPS (Overall)

Last Month29.10.00 pts
6 Months Ago29.3+0.20 pts
12 Months Ago29.10.00 pts

Canada NPS Evolution (Overall)

Top markets this month in Canada

  • Toronto is currently at 32.7 NPS.
  • Quebec City is currently at 31.9 NPS.
  • Ottawa is currently at 31.2 NPS.

Biggest movers this month in Canada

  • Quebec City shows the strongest month-over-month gain at +0.7 pts.
  • Fredericton shows the weakest month-over-month move at -0.5 pts.

Canada's Cities Overview — All Industries combined

# City NPS Δ vs 1M Δ vs 6M Δ vs 12M
1 Calgary 28.9 0.00 pts +0.90 pts +0.40 pts
2 Charlottetown 27.7 -0.10 pts -0.30 pts -0.30 pts
3 Edmonton 29.4 0.00 pts +0.40 pts +0.20 pts
4 Fredericton 28.1 -0.50 pts -0.30 pts -0.50 pts
5 Halifax 28.9 -0.10 pts -0.30 pts -0.70 pts
6 Montreal 31.2 -0.10 pts +0.50 pts +0.20 pts
7 Ottawa 31.2 +0.30 pts +2.00 pts +1.50 pts
8 Quebec City 31.9 +0.70 pts +0.10 pts -0.80 pts
9 Regina 25.5 +0.10 pts -0.50 pts -0.20 pts
10 St. John's 26.6 +0.30 pts +0.20 pts 0.00 pts
11 Toronto 32.7 -0.10 pts -0.10 pts +0.10 pts
12 Vancouver 30.9 -0.20 pts +0.50 pts +0.50 pts
13 Winnipeg 25.9 0.00 pts -0.80 pts -1.10 pts

Industries Overview — Canada (All Cities Combined)

# Industry NPS Δ vs 1M Δ vs 6M Δ vs 12M
1 Airlines 27.4 -0.10 pts 0.00 pts -1.50 pts
2 Apparel 24.2 +0.30 pts +0.40 pts +1.20 pts
3 Automotive Dealers and Service 27.7 +0.10 pts +1.50 pts +1.90 pts
4 B2B SaaS: Core Apps 41.2 -0.50 pts -0.50 pts -1.00 pts
5 Car Manufacturers 31 +0.10 pts +1.20 pts +0.80 pts
6 Consumer Electronics 25.1 0.00 pts -0.30 pts -0.30 pts
7 Consumer Services 31.2 +0.30 pts +0.20 pts -0.90 pts
8 Cosmetics and Beauty 31.2 0.00 pts +0.20 pts 0.00 pts
9 Energy and Utilities 16 0.00 pts -0.50 pts -0.30 pts
10 Entertainment and Streaming 24.1 -0.10 pts +0.70 pts +0.70 pts
11 Fintech and Digital Banking 34.8 0.00 pts +0.50 pts +0.90 pts
12 General Retail, Multicategory 30.3 -0.20 pts -0.60 pts -0.20 pts
13 Hotels and Resorts 44.2 0.00 pts -0.80 pts -1.10 pts
14 Internet Service Providers 19.8 +0.20 pts +0.40 pts +0.20 pts
15 Luxury Goods 37.8 -0.10 pts +0.30 pts +0.40 pts
16 Packaged Food and Beverage 22.5 +0.20 pts -0.60 pts -1.30 pts
17 Quick Service Restaurants 25.9 -0.30 pts -0.10 pts -0.30 pts
18 Restaurants, Full Service 32.1 -0.40 pts -0.70 pts -1.20 pts
19 Sports Teams and Leagues 29.2 +0.40 pts +1.00 pts +0.50 pts
20 Supermarkets and Grocery 27.1 0.00 pts +0.80 pts +0.30 pts

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.

Toronto benchmarks
Top city benchmark
Quebec City benchmarks
Top city benchmark
Ottawa benchmarks
Top city benchmark
Montreal benchmarks
Top city benchmark
Hotels and Resorts benchmarks
Top industry benchmark
B2B SaaS: Core Apps benchmarks
Top industry benchmark
Luxury Goods benchmarks
Top industry benchmark

Frequently asked questions about Canada

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