Customer reviews are a major part of how consumers evaluate businesses and products. In BrightLocal’s 2026 US consumer survey, 49% of respondents said they trust customer reviews as much as personal recommendations, while 85% said positive reviews make them more likely to use a business. The statistics below cover review trust, volume, recency, ratings, responses, authenticity, and category-level performance. Measurement periods and scopes vary, so each figure is identified by source and date.
Contents
- Consumer reliance and trust
- Review volume, recency, and star ratings
- How reviews affect purchase behavior
- Responses and customer participation
- AI, authenticity, and fake reviews
- Category and platform benchmarks
Consumer reliance and trust
Customer reviews sit close to personal recommendations in consumer decision-making. BrightLocal’s Local Consumer Review Survey 2026 found that 49% of US consumers trust customer reviews as much as personal recommendations when choosing a business. Only 4% said they never read online business reviews. Together, these figures show that review content is widely used and can carry recommendation-like weight.
Consumers do not necessarily rely on only one review source. In BrightLocal’s Local Consumer Review Survey 2025, 48% of US consumers said they use local news outlets as a source for local business reviews. The same source reported that 43% of US consumers considered information seen on Facebook untrustworthy in 2023. That contrast matters for marketers: visibility on a platform does not automatically make the information there credible.
Local search is also part of the review journey. BrightLocal’s 2026 research reported that 84% of US consumers had searched for a local business online during the three months before the survey. Among those consumers, 72% considered three or fewer businesses before making a local-business decision, and only 6% simply clicked the top result. Star rating mattered to 38% of US consumers researching a local business.
These figures describe survey responses from US consumers, not universal behavior in every market. They nevertheless point to a compact competitive set: many local shoppers search online, compare only a few businesses, and use visible signals such as ratings while deciding which options deserve further attention.
Review volume, recency, and star ratings
Review quantity is an important threshold signal. BrightLocal’s 2026 survey found that 47% of US consumers will not use a business with fewer than 20 customer reviews. Only 9% were willing to use a business with five or fewer reviews. This does not mean every business must reach the same number before a consumer will act, but it shows that a very small review footprint can create resistance.
Recency matters alongside volume. The same survey found that 18% of US consumers are swayed only by reviews written within the previous week. Another 32% look for reviews from the previous two weeks, while 74% seek reviews written within the previous three months. The results indicate that an established review count may lose persuasive power if recent customer experiences are absent.
Star ratings are another broad screening device. BrightLocal reported that 92% of US consumers care about star ratings when choosing a business. The thresholds were demanding: 31% said they would use only businesses rated at least 4.5 stars, 68% would use only businesses rated at least four stars, and 10% would use only a five-star business.
| Review signal | US consumer measure | Source period |
|---|---|---|
| Will not use a business with fewer than 20 reviews | 47% | BrightLocal, 2026 |
| Seek reviews from the previous three months | 74% | BrightLocal, 2026 |
| Care about star ratings | 92% | BrightLocal, 2026 |
| Use only businesses rated at least four stars | 68% | BrightLocal, 2026 |
| Use only businesses rated at least 4.5 stars | 31% | BrightLocal, 2026 |
Product-level data adds a different benchmark. PowerReviews’ 2023 Ratings & Reviews Report: Amazon Edition analyzed Amazon products from September 1, 2022, through August 30, 2023. Its analysis found an average of 4.23 stars and 40 reviews per product. In the same 2023 report, 65% of consumers said they ideally wanted at least 51 customer reviews for a product. The Amazon figures are an e-commerce analysis, not a universal standard for every product or business listing.
How reviews affect purchase behavior
Positive reviews can move consumers through several stages of the buying process. BrightLocal’s 2026 survey found that 85% of US consumers are more likely to use a business after reading positive customer reviews. After reading positive reviews, 54% visit the business website and 66% do more research. A smaller but commercially important 34% make a purchase or booking after reading a positive review.
Negative reviews can stop the journey. In the same survey, 77% of US consumers said negative customer reviews deter them from using a business. The figures describe reported consumer reactions, so they should not be interpreted as a universal conversion rate or as proof that a particular review causes a transaction.
Reviews are also associated with substantial spending decisions. BrightLocal reported that 93% of US consumers have made a purchase after reading customer reviews. Of those surveyed, 27% had spent more than $1,000 after reading reviews, and 13% had spent more than $5,000. At the same time, 70% said they had made a purchase they later regretted after reading customer reviews. Review influence can therefore support action without guaranteeing a satisfactory outcome.
An older observational benchmark shows why review display can matter on a product page. Spiegel’s How Online Reviews Influence Sales reported that displaying customer reviews increased purchase likelihood by 270% in its analysis of a high-end gift retailer. This was a one-year retailer observation reported in 2017, not a current market-wide conversion rate. It should be treated as a historical case study rather than a forecast for every retailer.
Responses and customer participation
A review program includes the business response, not only the customer comment. BrightLocal’s 2026 survey found that 80% of US consumers are likely to use a business that responds to every customer review. Conversely, 42% are unlikely to use a business that ignores customer reviews entirely. A response policy can therefore affect how consumers interpret the business’s attentiveness after the original review is published.
Timing is part of that expectation. BrightLocal reported that 89% of US consumers expect business owners to respond to customer reviews. Nineteen percent expect a response on the same day, while 81% expect one within a week. The figures do not establish that a same-day reply always produces a better commercial result, but they show that long silence can conflict with common expectations.
Specificity matters as well. Half of US consumers in the 2026 BrightLocal survey were unlikely to choose a business that uses templated or generic responses to customer reviews. This gives review replies a dual role: they address the reviewer and provide evidence to future readers that the business is paying attention to the substance of customer experiences.
Many consumers also participate directly. BrightLocal found that 69% of US consumers wrote a business review in the previous 12 months. Sixty percent wrote reviews about positive experiences, while 29% wrote reviews about negative experiences. These measures refer to review-writing activity during the stated period, so the positive and negative groups should not be treated as mutually exclusive or added together.
AI, authenticity, and fake reviews
Artificial intelligence is becoming part of review discovery. BrightLocal’s 2026 research found that 40% of US consumers trust AI platforms to provide local-business recommendations. Another 42% trust AI recommendations as much as traditional customer reviews for local recommendations. Review summaries are also widely consumed: 82% of US consumers said they read AI-generated customer-review summaries, and 23% were willing to rely solely on such a summary to decide.
That adoption does not remove the need for authenticity. In the same survey, 97% of US consumers said businesses should be punished for fake customer reviews, while 63% thought review platforms should detect and prevent fake reviews. Consumers may use automated summaries while still expecting the underlying review ecosystem to be credible.
Trustpilot’s Growing use of AI helps remove 90% of detected fake reviews reported that Trustpilot removed 4.5 million fake customer reviews in 2024. Those removals represented 7.4% of reviews submitted on Trustpilot’s platform that year, and 90% of the removed reviews were removed automatically by technology. These figures describe Trustpilot’s global platform, not all customer reviews worldwide.
For marketing teams, the practical distinction is between scale and credibility. More review content is not automatically better if it is generic, misleading, or artificial. The survey and platform figures show strong consumer expectations for both useful review information and systems that identify manipulation.
Category and platform benchmarks
Review behavior differs by platform and product category. BrightLocal’s 2026 survey found that 45% of US consumers left a customer review on Google during the previous year. The corresponding figures were 34% on Facebook and 24% on Yelp. These are reported platform-specific review-writing rates for the stated period, not shares of all reviews or measures of platform traffic.
PowerReviews’ Amazon analysis provides category-specific conversion benchmarks. For consumer-electronics products with 251 or more Amazon customer reviews, the report found a 70.9% conversion lift versus products with no reviews. Products with 500 or more reviews had a 96.5% conversion lift versus products with no reviews. These results cover September 1, 2022, through August 30, 2023, and are comparative lifts within the report’s analysis rather than guaranteed increases for every listing.
Beauty products showed a different pattern in the same report. Products with 101–250 Amazon customer reviews had a 24.8% conversion lift versus products with 100 or fewer reviews. Beauty products with 500 or more reviews had a 92% conversion lift versus products with 100 or fewer reviews.
| Product category and review count | Reported comparison | Measurement period |
|---|---|---|
| Consumer electronics, 251+ reviews | 70.9% lift vs. no reviews | Sep. 1, 2022–Aug. 30, 2023 |
| Consumer electronics, 500+ reviews | 96.5% lift vs. no reviews | Sep. 1, 2022–Aug. 30, 2023 |
| Beauty, 101–250 reviews | 24.8% lift vs. 100 or fewer | Sep. 1, 2022–Aug. 30, 2023 |
| Beauty, 500+ reviews | 92% lift vs. 100 or fewer | Sep. 1, 2022–Aug. 30, 2023 |
The report also found that 58% of in-store grocery shoppers were more likely to buy an untried grocery item when customer reviews were available. This is a 2023 consumer measure and applies to untried grocery items, not all grocery purchases.
Taken together, the benchmarks suggest that review programs should be evaluated in context. Local-business surveys emphasize trust, recency, response quality, and star ratings. Amazon analyses compare review-count groups within specific product categories. Historical retailer observations and platform-specific figures can inform planning, but they should retain their original dates, populations, and limitations when used in marketing decisions.