NPS Benchmarks in Oklahoma City, USA

Last update: June 1, 2026

Next update: July 1, 2026

How to interpret the Oklahoma City benchmark

This page shows the latest NPS benchmark for Oklahoma City, USA. The current market benchmark is 29.8 for May 2026, which helps local teams understand whether their own score is ahead of, in line with, or behind the city-level market.

City pages are often the most actionable benchmark layer because they capture local competitive pressure and customer expectations more accurately than national averages alone. They are particularly useful for multi-location businesses and operators with strong local market exposure.

Within Oklahoma City, Hotels and Resorts currently sets one of the strongest sector reference points at 45.0 NPS. That gives local operators a sharper way to judge whether their score is strong for this city, not just acceptable in general.

Key insights

  • Hotels and Resorts is currently the strongest benchmarked sector in Oklahoma City with an NPS of 45.0.
  • Compare this city score with the country page to see whether local customer sentiment is stronger or weaker than the broader national market.

How to interpret this benchmark

  • If your score is above the city benchmark but below the best-performing local sector, your business may be healthy overall but still underperforming relative to the strongest customer experiences in this market.
  • A city benchmark is usually the most practical operating reference for local teams because it reflects the same customer pool, review mix and competitive environment.

Oklahoma City

Oklahoma City NPS (Overall)

Last Month29.9+0.10 pts
6 Months Ago29.6-0.20 pts
12 Months Ago29.9+0.10 pts

Oklahoma City NPS Evolution (Overall)

Top sectors this month in Oklahoma City

  • Hotels and Resorts is currently benchmarked at 45.0 NPS.
  • Luxury Goods is currently benchmarked at 43.0 NPS.
  • Fintech and Digital Banking is currently benchmarked at 40.0 NPS.

Biggest sector movers this month in Oklahoma City

  • Hotels and Resorts is the fastest improver month over month at +3.0 pts.
  • Consumer Services is the sharpest decliner month over month at -2.0 pts.

Industries Overview — Oklahoma City

# Industry NPS Δ vs 1M Δ vs 6M Δ vs 12M
1 Airlines 26 -1.00 pts 0.00 pts +1.00 pts
2 Apparel 25 0.00 pts +1.00 pts +1.00 pts
3 Automotive Dealers and Service 31 -1.00 pts +1.00 pts +2.00 pts
4 B2B SaaS: Core Apps 40 +1.00 pts +3.00 pts +1.00 pts
5 Car Manufacturers 39 -2.00 pts -4.00 pts -5.00 pts
6 Consumer Electronics 22 0.00 pts +3.00 pts +3.00 pts
7 Consumer Services 36 -2.00 pts -5.00 pts -6.00 pts
8 Cosmetics and Beauty 33 -1.00 pts -1.00 pts 0.00 pts
9 Energy and Utilities 12 +1.00 pts +1.00 pts +1.00 pts
10 Entertainment and Streaming 30 0.00 pts -3.00 pts -3.00 pts
11 Fintech and Digital Banking 40 0.00 pts -2.00 pts 0.00 pts
12 General Retail, Multicategory 24 +1.00 pts +2.00 pts +2.00 pts
13 Hotels and Resorts 45 +3.00 pts +1.00 pts +1.00 pts
14 Internet Service Providers 18 +1.00 pts 0.00 pts 0.00 pts
15 Luxury Goods 43 0.00 pts -3.00 pts -4.00 pts
16 Packaged Food and Beverage 21 0.00 pts 0.00 pts +2.00 pts
17 Quick Service Restaurants 25 0.00 pts +1.00 pts +3.00 pts
18 Restaurants, Full Service 26 +1.00 pts 0.00 pts +1.00 pts
19 Sports Teams and Leagues 35 0.00 pts -2.00 pts -2.00 pts
20 Supermarkets and Grocery 25 0.00 pts +2.00 pts +4.00 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.

USA national benchmark
Country page
Hotels and Resorts benchmarks
Relevant industry benchmark
Luxury Goods benchmarks
Relevant industry benchmark
Fintech and Digital Banking benchmarks
Relevant industry benchmark
B2B SaaS: Core Apps benchmarks
Relevant industry benchmark
Albany benchmarks
Nearby city page
Annapolis benchmarks
Nearby city page
Atlanta benchmarks
Nearby city page

Frequently asked questions about Oklahoma City, USA

City-level benchmarks are useful because customer expectations, competition and review behavior can change sharply from one market to another. They offer a more actionable local reference than a national average alone.

Use it to assess whether your current NPS is locally competitive, then review the industry breakdown to see whether the gap comes from your market or your sector.

Not necessarily. A strong city benchmark means customer sentiment is strong in that local market overall. Your own business still needs to outperform that reference if you want to lead locally.

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.

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