Customer Satisfaction Benchmarks by Industry (2026)

What is a good customer satisfaction score?#

A good customer satisfaction score is generally 75–85% CSAT — the share of customers who pick the top one or two boxes on a satisfaction question — or roughly 76–78 on the 100-point ACSI scale, which tracks near the U.S. national average. But "good" is relative: an 80% CSAT is unremarkable for a luxury hotel and exceptional for an internet service provider. That is why customer satisfaction benchmarks by industry matter more than any universal cutoff. The only score worth chasing is one that beats your own sector — and even that number hides the reason customers feel the way they do.

The best anchor for these comparisons is the American Customer Satisfaction Index (ACSI), the longest-running cross-industry satisfaction benchmark in the U.S. For the underlying metric — its formula and its limits — start with our guide to the customer satisfaction score (CSAT).

Customer satisfaction benchmarks by industry (2026)#

Customer satisfaction benchmarks vary by 15–20 points across industries, so the same raw score can be top-tier or bottom-of-the-barrel depending on where you compete. The table below uses ACSI's 0–100 index — where the national average has hovered around 76–78 in recent years — because it is the most consistently measured cross-sector benchmark available. These are approximate recent ranges, not single-year readings, and index scores are not identical to a 5-point CSAT percentage; use them to place your own number in context.

The pattern is consistent year over year: manufacturing, food, and retail sit at the top; utilities-adjacent services — pay TV, ISPs, wireless — sit at the bottom. If you want the parallel view for loyalty rather than satisfaction, our customer retention benchmarks by industry map the same sectors to renewal and repeat-purchase rates, and our what is a good NPS score by industry breakdown does it for Net Promoter Score.

Software and SaaS CSAT benchmarks#

Good CSAT for software and SaaS lands around 78–85%, higher than the cross-industry average because product usage is self-selecting — unhappy users churn before they answer. B2B software vendors commonly report CSAT in the low-to-mid 80s, while support-ticket CSAT (measured right after a resolved ticket) often runs higher, in the mid-to-high 80s, because it captures a moment of relief rather than the whole relationship. That gap is the first benchmark trap: a stellar post-ticket score can mask a mediocre overall experience.

SaaS satisfaction is also segment-sensitive: enterprise accounts with dedicated success managers score higher than self-serve SMB users who never talk to a human, and a blended CSAT hides that split. Our NPS benchmarks for SaaS breakdown applies the same segment logic to promoter scores, and how to measure customer satisfaction covers CSAT, CES, sentiment, and behavioral signals side by side.

Retail and ecommerce satisfaction benchmarks#

Retail and ecommerce satisfaction benchmarks cluster in the 78–82 ACSI range, with category leaders pulling the average up and long-tail marketplaces dragging it down. Internet retail has historically outscored brick-and-mortar because convenience and price transparency map cleanly onto what shoppers say they want. But the retail benchmark is deceptively volatile: fulfillment delays, return friction, and out-of-stocks can move a score several points in a single quarter.

The metric that predicts revenue in retail is repeat behavior, not the satisfaction snapshot — a shopper can rate a purchase "5 stars" and never return. If your CSAT is healthy but reorders are not, that disconnect is a research question. Design the right instrument for a transactional retail moment with our customer satisfaction surveys guide and the CSAT vs NPS vs CES comparison.

Financial services and insurance benchmarks#

Financial services and insurance benchmarks split sharply: banks sit around 77–80 on ACSI, while health insurance trails at 72–76 — below the national average and among the lower-scoring sectors overall. The divide comes down to interaction quality. Banking has invested heavily in mobile apps and instant service; insurance is still defined by claims friction, opaque pricing, and infrequent, high-stakes touchpoints where a single bad experience colors the whole relationship.

That fragility is measurable. PwC found that one in three customers will walk away from a brand they love after a single bad experience — and in insurance, the "single experience" is often the claim. A benchmark-matching CSAT taken at renewal can completely miss a policyholder who was quietly alienated at claim time. Closing that gap requires acting on individual responses, which is the whole point of closing the loop on customer feedback.

Why a benchmark-beating CSAT can still hide churn#

A CSAT that beats your industry benchmark can still sit on top of serious churn risk, because satisfaction scores measure the average and churn happens at the edges. Two failure modes are common. First, non-response bias: satisfied and indifferent customers answer; the actively frustrated often don't, so your sample skews positive right before they leave. Second, the satisfaction–loyalty gap: "satisfied" is a low bar. Customers who rate you a 4 out of 5 defect at meaningfully higher rates than those who rate you a 5, yet both count as "satisfied" in a top-two-box CSAT.

The economics make this expensive to ignore. Classic Harvard Business Review research by Reichheld and Sasser found that reducing customer defections by just 5% can raise profits by 25% to 95%. A benchmark-beating score that leaks 5% more customers than it should is quietly forfeiting that upside. The score tells you whether customers are satisfied; it never tells you why the merely-satisfied are one bad renewal away from leaving. For the fuller treatment of what the number can and can't do, see what customer satisfaction really is and how to measure it beyond the score and the limits section of our CSAT guide.

How to move your satisfaction score above benchmark#

Moving your satisfaction score above benchmark starts with treating the number as a diagnostic, not a target — chasing the score directly tends to produce survey-gaming, not happier customers. Three steps work:

1. Segment before you benchmark. Break CSAT down by plan, tenure, channel, and lifecycle stage. A blended score that matches the benchmark can hide a segment that is 15 points below it. Our customer service metrics breakdown and how to improve customer satisfaction cover which cuts predict churn.
2. Fix the drivers, not the score. Every point of CSAT is caused by something specific — a claims delay, a confusing onboarding step, a pricing surprise. You can only fix what you can name.
3. Ask "why," at scale. This is where scores hit their ceiling: a number can flag a dipping segment, but only a conversation explains it. Perspective AI runs AI-moderated interviews that follow up on a low rating in the customer's own words — probing the "it depends" and "I'm not sure" answers a static form flattens. Instead of a 5-point scale, you get the reason behind the 3, at the volume of a survey.

Frequently Asked Questions#

What is a good CSAT score?#

A good CSAT score is generally 75–85%, measured as the percentage of customers who choose the top one or two options on a satisfaction question. Anything above 80% is strong in most industries, and above 90% is exceptional. But the honest answer is relative: a "good" score is one that beats your specific industry benchmark and, more importantly, is trending upward for your key customer segments.

What is the average CSAT score by industry?#

The average satisfaction score ranges from roughly 64–68 (internet service providers) to 80–84 (food and beverage manufacturing) on ACSI's 0–100 scale, with the U.S. national average near 76–78. Software, ecommerce, and full-service restaurants sit above average; pay TV, ISPs, wireless, and health insurance sit below it. Compare against your own industry, not the blended average.

How is CSAT different from the ACSI benchmark?#

CSAT is a metric you run yourself — usually the percentage of customers who rate a specific interaction favorably — while the ACSI is a standardized national index that scores entire industries on a 0–100 scale using a consistent methodology. Use your internal CSAT to track change over time, and use ACSI industry scores as the external benchmark to judge whether your number is genuinely good.

Is a higher customer satisfaction score always better?#

Not always, because a high satisfaction score can be inflated by non-response bias and can still sit on top of real churn risk. Customers who rate you "satisfied" rather than "very satisfied" defect at higher rates, yet both count in a top-two-box CSAT. A rising score built on a shrinking, self-selecting sample is worse than a flat score with honest coverage.

How often should I benchmark customer satisfaction?#

Benchmark customer satisfaction continuously for transactional CSAT (after each key interaction) and at least quarterly for relationship-level satisfaction. Industry benchmarks like ACSI update on a rolling annual basis, so re-checking your position against them once or twice a year is enough. The higher-frequency signal you want is not the score itself but the qualitative "why" behind any movement.

Beyond the benchmark: finding your own why#

Customer satisfaction benchmarks are useful for one thing: telling you whether your number is good relative to your industry. In 2026, a good CSAT is roughly 75–85%, or 76–78 on ACSI — but the sector you compete in moves that bar by 15–20 points, and even a benchmark-beating score can hide the merely-satisfied customers who quietly leave. The benchmark is the floor, not the finish line.

The score tells you where you stand. It never tells you why. That "why" — the specific reason a customer rated you a 3, the constraint a form flattened into a dropdown — is where retention is actually won or lost. Perspective AI closes that gap by replacing the static satisfaction survey with AI-moderated interviews that probe, follow up, and capture the reasoning behind every score, across hundreds of customers at once. Start a research study to hear the why behind your next satisfaction number, or see how the AI interviewer agent turns a low rating into an actionable conversation.