Product Review Statistics
A curated, sourced roundup of product review statistics from Spiegel, PowerReviews, Bazaarvoice, BrightLocal and others. It covers readership, conversion lift, review count, star rating and trust in negative reviews.
Product Review Statistics
Sourced data on how customer reviews shape online shopping: readership, conversion lift, review count, star rating and trust.
Product review statistics measure how shoppers use ratings and written reviews, and how much those reviews change what people buy. The most-cited figures come from academic work, like Northwestern University's Spiegel Research Center, and from large consumer surveys by PowerReviews, Bazaarvoice and BrightLocal.
Treat each figure according to how it was measured. Survey data tells you what shoppers say they do. Network and on-site data tells you what they actually do. Local-business surveys measure behaviour toward service providers, not product detail pages. This page labels which is which, so you can cite the right number in the right context.
Key statistics
• Products with five reviews are 270% more likely to be bought than products with none (Spiegel Research Center, 2017). • For higher-priced products that lift rises to 380%, compared with 190% for lower-priced products (Spiegel Research Center, 2017). • Purchase likelihood peaks for products rated 4.0–4.7 stars and drops as ratings approach a perfect 5.0 (Spiegel Research Center, 2017). • 93% of US consumers consult product reviews when shopping online (PowerReviews, 2023). • 98% of US consumers are more likely to read reviews for a product they have never bought before (PowerReviews, 2023, n=8,153). • Shoppers who interact with ratings and reviews are 108.6% more likely to convert (Bazaarvoice network data). • 64% of US consumers are more likely to buy a product with fewer but more recent reviews (PowerReviews, 2022, n=9,012). • 31% of consumers will only use a business rated 4.5 stars or higher, up from 17% a year earlier (BrightLocal Local Consumer Review Survey, 2026).
The numbers below are grouped around the four questions a CRO team actually asks. Do shoppers read reviews? How much do reviews lift conversion? How many reviews and what rating do you need? And do shoppers trust what they read? Each figure carries its publisher, year and sample so you can cite it directly.
How many shoppers read product reviews
Review readership by survey, audience and context
| Statistic | Figure | Audience | Source / year |
|---|---|---|---|
| Consult reviews when shopping online | 93% | US consumers | PowerReviews, 2023 |
| More likely to read reviews for a never-purchased product | 98% | US consumers | PowerReviews, 2023 |
| Read more reviews the more expensive the product | 78% | US consumers | PowerReviews, 2023 |
| Read reviews on Amazon | 96% | US consumers | PowerReviews, 2023 |
| Read reviews on big-box retailer sites | 86% | US consumers | PowerReviews, 2023 |
| Look at ratings and reviews before in-store purchases | 84% | US consumers | PowerReviews, 2023 |
| Read shopper reviews when browsing or buying | 86% global / 82% US | Global shoppers | Bazaarvoice SEI, 2022 |
| Look at shopper photos and videos | 75% global / 72% US | Global shoppers | Bazaarvoice SEI, 2022 |
| Read between 1 and 25 reviews before buying | 69% | US consumers | PowerReviews, 2022 |
| Read reviews for local businesses | 97% | US consumers | BrightLocal, 2026 |
Readership is effectively universal. Every major survey since 2022 puts it between 82% and 98%, depending on how the question is worded. What varies is depth. PowerReviews found 78% of shoppers read more reviews as price rises, so a €180 jacket gets far more scrutiny than a €14 lip balm.
The 69% figure is the one to plan around. Most shoppers read up to 25 reviews, not hundreds. That means the first screen of your review widget does most of the work, and default sort order, filters and photo reviews matter more than total volume.
Visual reviews are a separate lever. Bazaarvoice found three in four shoppers look at customer photos and videos. In apparel and beauty, those images answer fit and shade questions that text can't, which is why photo-review prompts in post-purchase emails are worth testing.
Conversion lift when reviews are shown
Reported uplift from displaying or engaging with reviews
The 270% headline comes from the Spiegel Research Center's 2017 study with PowerReviews. It compares products that have five reviews with products that have none. It is not the lift you get from adding a review widget to a page that already shows reviews. Most of the gain comes from the first handful of reviews, and the curve flattens after that.
Price magnifies the effect: 380% for higher-priced items versus 190% for cheaper ones in the same study. Bazaarvoice's 108.6% and 162% figures compare shoppers who chose to engage with reviews against those who didn't. That is a self-selected group, so read those numbers as correlation, not a causal lift.
For a product page that already shows reviews, more realistic test outcomes are in the range Yotpo reports: a 10–30% conversion lift from adding reviews (Yotpo, 2024, as cited by Smash Balloon). Gains from review design tests, like summary snippets, photo carousels or star placement near the price, are usually smaller. You need enough traffic to detect them.
Review count, star rating and recency
How review count, star rating and recency affect purchase decisions
| Factor | Finding | Figure | Source / year |
|---|---|---|---|
| Review count | Purchase likelihood at 5 reviews vs 0 | +270% | Spiegel, 2017 |
| Review count | Consumers who won't use a business with fewer than 20 reviews | 47% | BrightLocal, 2026 |
| Review count | Consumers willing to use a business with 5 or fewer reviews | 9% | BrightLocal, 2026 |
| Star rating | Rating band where purchase likelihood peaks | 4.0–4.7 stars | Spiegel, 2017 |
| Star rating | Consumers who only use businesses rated 4.5+ | 31% (17% prior year) | BrightLocal, 2026 |
| Recency | More likely to buy with fewer but more recent reviews | 64% | PowerReviews, 2022 |
| Recency | Look for reviews posted within the last month | 44% | PowerReviews, 2022 |
| Verification | Purchase likelihood boost from verified-buyer reviews | +15% | Spiegel, 2017 |
Count, rating and recency work together. Five reviews clears the first trust threshold on a product page. Twenty or more is where local-business shoppers stop hesitating, and the same intuition likely applies to hero SKUs. Recency can override volume: 64% of shoppers prefer fewer, newer reviews to a large, stale pile.
The rating bar is rising. BrightLocal's 4.5+ cut-off group nearly doubled in a year. Spiegel's data still shows a perfect 5.0 underperforming a 4.4, so the goal is a believable high-4 rating, not a flawless one.
A perfect 5.0 can cost you sales
Spiegel Research Center found purchase likelihood peaks at 4.0–4.7 stars and then declines as ratings approach 5.0. Shoppers read a perfect score as filtered or fake. Don't suppress critical reviews. Show them, reply to them, and let the mix prove your reviews are real.
Trust, negative reviews and fake reviews
Negative reviews are a feature, not a leak. Shoppers use low-star reviews to check worst-case outcomes, like sizing running small, a serum causing breakouts or a charger failing after a month. Then they decide whether those risks apply to them. A visible 2-star review with a helpful brand reply often converts better than a wall of praise.
Trust in reviews broadly holds up. BrightLocal's 2025 survey found 42% of consumers trust online reviews as much as personal recommendations. Verification helps: Spiegel measured a 15% higher purchase likelihood when reviews came from verified buyers rather than anonymous posters.
Regulation now backs that scepticism. The US Federal Trade Commission's rule banning fake reviews and testimonials took effect in October 2024. The UK's Digital Markets, Competition and Consumers Act made fake reviews a banned practice from April 2025. Incentivised or gated review collection is now a legal risk, not just a trust risk.
Response speed is becoming part of trust. In BrightLocal's 2026 survey, 32% of consumers expected a reply to a review by the next day, up from 18% in 2025. Generic replies did more harm than good. For product reviews, a fast, specific answer to a sizing or shipping complaint is visible proof that a team is behind the store.
Collection still works best when you simply ask. BrightLocal found 83% of people who were asked to leave a review in 2025 went on to write one, and 28% say they will always write one when asked. A well-timed post-delivery email from Klaviyo or your review app is still the biggest volume lever.
How to use these numbers
Use Spiegel's 270% when you're arguing for getting your first five reviews onto zero-review SKUs, not to forecast a widget redesign. Use PowerReviews' readership data to set priorities, and Bazaarvoice's engagement figures as directional only. Then measure your own baseline. Compare conversion on product pages with 0, 1–4, 5–19 and 20+ reviews, split mobile and desktop, and test the gaps that cost you the most revenue.
Product review statistics: FAQ
Between 82% and 98%, depending on the survey. PowerReviews (2023) found 93% of US consumers consult reviews when shopping online. Bazaarvoice (2022) found 86% of global shoppers and 82% of Americans read shopper reviews when browsing or buying.
Spiegel Research Center (2017) found a product with five reviews is 270% more likely to be bought than one with none. On pages that already show reviews, design and placement tests typically return far smaller lifts. Yotpo reports 10–30% from adding reviews to product pages.
Five is the first big threshold: Spiegel found most of the purchase-likelihood gain happens by the fifth review. BrightLocal's 2026 survey found 47% of consumers won't choose a business with fewer than 20 reviews. That makes 20+ a sensible target for your best-selling SKUs.
Spiegel Research Center found purchase likelihood peaks between 4.0 and 4.7 stars and falls as ratings approach 5.0. Shoppers see perfect scores as less credible. A believable 4.3–4.7 tends to outperform a flawless 5.0.
Not usually, as long as there are some. A mix of ratings signals authenticity, which is why purchase likelihood peaks below 5.0 stars. Shoppers read low-star reviews to judge risk, and a helpful brand reply can turn a complaint into reassurance.
Very recent. PowerReviews (2022) found 64% of US consumers prefer products with fewer but more recent reviews, and 44% look for reviews from the past month. Keep a steady flow coming through post-purchase emails rather than one-off campaigns.
Not many. PowerReviews found 69% of US consumers read between 1 and 25 reviews before buying. Your default sort order, the first few reviews and any photo reviews above the fold do most of the persuading.
Yes, especially in apparel, beauty and home. Bazaarvoice (2022) found 75% of global shoppers look at customer photos and videos. Shoppers who engaged with user-generated content generated 162% more revenue per visitor and about 13% higher average order value.
In the US, the FTC's rule banning fake reviews and testimonials took effect in October 2024. In the UK, fake reviews became a banned practice under the DMCC Act from April 2025. Buying reviews, writing them yourself or suppressing negative ones can lead to penalties.
Group your product pages by review count and rating, then compare conversion rate and revenue per visitor by device. Next, A/B test changes like star placement, review summaries or photo carousels. See our Product Reviews guide for setup and tactics.
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