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Strategy11 min read

Contractor Review & Reputation Statistics for 2026

What the peer-reviewed research and consumer surveys actually establish about online reviews — including the causal studies most reputation articles never cite, and the population limits that matter when you apply them to a trade business.

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Revenue lift per Yelp star (upper bound, Harvard)

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More likely to sell out per half-star (Berkeley)

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Consumers requiring 4+ stars

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Who prioritise reviews under 3 months old

J
JadenFounder, Elev8 Operations
200+ contractor accounts managed11 min read · Updated 2026-07-30

Key Takeaways

  • A one-star increase in Yelp rating raised revenue 5-9% for independent restaurants — the most-cited figure in reputation marketing, and one of the very few that comes from a causal study rather than a correlation.
  • Rating gains work through a threshold, not a slope: an extra half-star made restaurants sell out 19 percentage points more often, because ratings round and consumers filter.
  • Review recency now matters more than review count for most local searches — 74% of consumers prioritise reviews from the last three months.
  • Almost every headline review statistic comes from restaurants or e-commerce, not from trades, so the direction transfers and the magnitude does not.
  • Since October 2024, buying or incentivising reviews is not merely against platform policy — it carries federal civil penalties under an FTC rule.

Reputation statistics are the worst-sourced numbers in local marketing. The same handful of figures circulate for years, each blog citing the last, until the original study is three links back and nobody has checked whether it studied restaurants, retailers or contractors. This page lists what the research actually establishes, names the population each study measured, and flags where the number stops being transferable.

How much does a star rating actually affect revenue?

A one-star increase in Yelp rating produced a 5-9% increase in revenue for independent restaurants. That comes from Michael Luca's Harvard Business School working paper, which matched Yelp data against Washington State Department of Revenue filings and used Yelp's rounding thresholds as a regression discontinuity — making it causal rather than correlational.

The population is independent restaurants, and chain-affiliated restaurants showed no effect at all. A roofing company is not a restaurant, so treat the direction as well established and the magnitude as unverified for trades.

Why does half a star matter so much more than it should?

Because ratings round and consumers filter. Anderson and Magruder found an extra half-star caused restaurants to sell out 19 percentage points more often — a 49% relative increase — with the effect strongest where other information was scarce. Ratings do not work as a smooth slope; they work as a set of cliffs at the display thresholds.

Finding
Figure
Study
Population
Revenue effect of one extra star
+5% to +9%
Luca, HBS WP 12-016 (2011)
Independent restaurants, Washington State
Revenue effect for chain restaurants
No significant effect
Luca, HBS WP 12-016 (2011)
Chain-affiliated restaurants
Sell-out rate per extra half-star
+19 percentage points (+49% relative)
Anderson & Magruder, Economic Journal 122(563) (2012)
San Francisco restaurants
Purchase likelihood, 5 reviews vs none
+270%
Spiegel Research Center / PowerReviews (2017)
Online retail products
Conversion lift, lower-priced items
+190%
Spiegel Research Center / PowerReviews (2017)
Online retail products
Conversion lift, higher-priced items
+380%
Spiegel Research Center / PowerReviews (2017)
Online retail products

How many reviews does a contractor need?

Fewer than most people assume, because the returns fall off a cliff. Northwestern's Spiegel Research Center found purchase likelihood rose 270% between zero and five reviews, then the marginal value of each additional review dropped sharply. The first five reviews are the ones that change behaviour; the fiftieth mostly changes nothing.

That study covers online retail products, not services. The shape of the curve — steep early, flat later — is the transferable insight. The 270% is not.

Is a perfect 5.0 rating better than a 4.7?

No. Spiegel found purchase likelihood peaks between 4.0 and 4.7 and then declines as ratings approach 5.0, because a flawless record reads as filtered rather than earned. A contractor sitting at 4.8 with two hundred reviews is in a stronger position than one at 5.0 with nine.

What star rating do consumers require in 2026?

BrightLocal's 2026 Local Consumer Review Survey of 1,002 US adults found 68% will not consider a business rated below four stars, and 31% require 4.5 or better. That is a hard filter applied before your marketing gets a chance to work — below four stars, most of your ad spend is buying impressions from people who have already excluded you.

Consumer behaviour
Share of consumers
Read online reviews for local businesses
97%
Will not consider a business under 4 stars
68%
Require 4.5 stars or better
31%
Prioritise reviews from the last three months
74%
More likely to use a business that responds to all reviews
80%
Unlikely to use a business that ignores reviews entirely
42%
View generic templated responses negatively
50%

Does review recency matter more than review count?

For most local searches, yes. 74% of consumers prioritise reviews from the last three months, which means a hundred reviews from 2023 carry less weight than fifteen from this quarter. Reputation is a flow rather than a stock — a business that stops asking starts decaying regardless of its total.

Does responding to reviews change anything?

It changes a great deal in both directions. 80% of consumers are more likely to use a business that responds to all its reviews, and 42% are unlikely to use one that ignores them. But 50% view generic templated responses negatively, so a copy-pasted thank-you performs measurably worse than silence in half the audience.

What do reviews do to paid channels?

On Google Local Services Ads they feed the ranking directly, which makes reputation a media-efficiency lever rather than a branding exercise. SearchLight's benchmark across 888 contractors and $6.72M of tracked LSA spend recorded a 43.9% blended book rate and $233 cost per paying customer on a channel where review profile carries weight.

What are the legal limits on getting reviews?

Since 21 October 2024, federal ones with teeth. The FTC's rule on consumer reviews and testimonials bans buying positive reviews, writing fake ones, suppressing negative ones, and undisclosed insider reviews — and authorises civil penalties for knowing violations. Platform policy used to be the ceiling; now it is the floor.

Incentivising reviews conditioned on their being positive is squarely within what the rule prohibits. Asking every customer for an honest review is not, and remains the only strategy worth building on.

What is a realistic review velocity target?

Enough to keep a rolling three-month window populated, which for most contractors means somewhere between four and twelve a month depending on job volume. The arithmetic of moving an existing average is unforgiving — a business at 4.2 with 80 reviews needs far more five-star reviews to reach 4.5 than most owners expect.

Put these numbers to work

Which of these numbers should you actually trust?

The two causal studies, without reservation, for direction. The survey figures for consumer expectations, because that is what surveys measure well. And none of the magnitudes as forecasts for your business — every one of them was measured on restaurants or retail products, and no published dataset has run this experiment on trades.

Sources

The public studies behind the figures on this page, with what each one was used for. Last verified 2026-07-30.

  1. 1
    Harvard Business School (Michael Luca)Reviews, Reputation, and Revenue: The Case of Yelp.com — Working Paper 12-016

    September 2011 · Yelp review data matched against Washington State Department of Revenue restaurant revenue filings; regression discontinuity exploiting Yelp's rating rounding thresholds. Source for the 5-9% revenue increase per additional star, and for the finding that the effect appears only among independent restaurants and not chain-affiliated ones.

  2. 2
    The Economic Journal (Michael Anderson and Jeremy Magruder, UC Berkeley)Learning from the Crowd: Regression Discontinuity Estimates of the Effects of an Online Review Database

    The Economic Journal, Volume 122, Issue 563, September 2012, pages 957-989 · Regression discontinuity on Yelp rating rounding thresholds, measured against restaurant reservation availability. Source for the finding that an extra half-star causes restaurants to sell out 19 percentage points (49% relative) more frequently, with larger effects where alternative information is scarce.

  3. 3
    Spiegel Research Center, Medill School, Northwestern University (with PowerReviews)How Online Reviews Influence Sales

    June 2017 · Transaction and review data from online retailers, analysing conversion against review count, review volume and displayed rating. Source for the 270% purchase-likelihood increase at five reviews versus none, the 190%/380% split between lower and higher priced items, and the finding that purchase likelihood peaks between 4.0 and 4.7 rather than at 5.0.

  4. 4
    BrightLocalLocal Consumer Review Survey

    2026 · 1,002 US adult consumers surveyed via SurveyMonkey. Source for every consumer-expectation figure in the table: 97% read reviews, 68% require four stars or better, 31% require 4.5, 74% prioritise reviews from the last three months, 80% favour businesses that respond to all reviews, 42% avoid those that ignore them, and 50% view templated responses negatively.

  5. 5
    US Federal Trade CommissionTrade Regulation Rule on the Use of Consumer Reviews and Testimonials (16 CFR Part 465)

    Announced August 2024; effective 21 October 2024 · Final rule adopted by unanimous 5-0 Commission vote following notice-and-comment rulemaking. Source for the compliance section: the rule prohibits fake and purchased reviews, review suppression, and undisclosed insider reviews, and authorises civil penalties against knowing violators.

  6. 6
    SearchLight DigitalHome Services LSA Benchmark — Google Local Service Ads Cost Per Lead by Trade

    February 2026 · 888 contractors, $6.72M tracked Local Services Ads spend, 126,650 leads, $52.7M closed revenue. Source for the 43.9% blended book rate and $233 cost per paying customer cited when describing what a review profile is worth on a paid channel that ranks partly on reviews.

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11 min read · Updated 2026-07-30

Frequent Questions. Short Answers.

Nobody has measured it on contractors. The best available evidence is Harvard's Yelp study, which found a 5-9% revenue increase per star for independent restaurants using a causal regression discontinuity design. The mechanism — consumers filtering by rating before they ever contact you — clearly applies to trades, but the size of the effect is unverified outside restaurants.

Because restaurants gave researchers something rare: a public rating and a matching revenue figure. Luca used Washington State tax filings alongside Yelp data, which is why that study is causal at all. Contractor revenue is not published anywhere comparable, so the equivalent study does not exist.

About five, based on Northwestern's research, after which each additional review does progressively less. That study covers online retail products, so treat five as the shape of the curve rather than a precise threshold — but the practical implication holds, which is that going from zero to five matters far more than going from fifty to sixty.

No. Purchase likelihood peaks between 4.0 and 4.7 and falls as ratings approach 5.0, because consumers read a flawless record as filtered. A 4.8 with two hundred reviews outperforms a 5.0 with nine, and chasing perfection creates pressure to suppress negative reviews — which is now federally prohibited.

Four stars, at minimum. BrightLocal's 2026 survey of 1,002 US adults found 68% will not consider a business rated below four, and 31% require 4.5 or better. Below four stars a substantial share of your ad impressions are served to people who have already ruled you out.

Less than owners assume. 74% of consumers prioritise reviews from the last three months, which makes reputation a flow rather than a stock. A business with 200 reviews and none this quarter looks worse to a real customer than one with 40 reviews and six from last month.

Yes, but not with a template. 80% of consumers are more likely to use a business that responds to all reviews and 42% are unlikely to use one that ignores them — yet 50% view generic templated responses negatively. A short specific reply beats a polished generic one.

Respond quickly, specifically, and without arguing the facts in public. The response is not written for the reviewer; it is written for the next fifty people who read it, and they are judging whether you sound like someone who fixes problems. Suppressing it is not an option — the FTC rule prohibits that directly.

Not for a positive one. The FTC's rule, effective 21 October 2024, prohibits buying positive reviews and carries civil penalties for knowing violations. An incentive offered regardless of what the customer writes sits in a greyer area, but the safe and effective approach is simply asking every customer, every time.

On Google Local Services Ads, directly — review profile feeds the ranking, so reputation lowers cost per booked job rather than merely improving brand perception. SearchLight's benchmark across 888 contractors recorded a 43.9% blended book rate and $233 cost per paying customer on that channel.

Not for discovery, but they matter for conversion. Most local discovery happens on Google, so that profile is the one that gates whether you appear. Facebook recommendations tend to be read by people already considering you, which makes them a closing asset rather than a finding one.

Enough to keep a rolling three-month window populated — for most contractors four to twelve, scaled to job volume. The target is not a total, it is a rate, because the 74% recency preference means the window empties whether or not you keep filling it.

Ask every customer at the moment the job is finished and they are happiest, and make the request one tap. Most contractors have a review problem that is really an asking problem: they request reviews from a fraction of customers, days late, via a link nobody opens.

None. Every figure on this page traces to a named external study — Harvard Business School, the Economic Journal, Northwestern's Spiegel Research Center, BrightLocal's consumer survey, the Federal Trade Commission, and SearchLight's LSA benchmark — all listed with their methodology in the sources block.

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