Skip to content

Social proof and reviews

| Article: 3 min read | Store pages

Social proof is confirmation that other people choose a product or store: reviews, ratings, the number of buyers, customer photos. In an online store its most important form is customer reviews on the product page.

In plain words

When a product can't be held in the hand, shoppers look for other people's experience. According to a Clutch survey (400 American consumers, February 2026), 96% check reviews before buying something they haven't tried, and 47% always do (Clutch).

What the research shows

  • When they read. Clutch (USA, 2026): 72% read reviews when comparing options, and 69% look at them again before completing a purchase (Clutch).
  • Trust is falling. CivicScience (USA, January 2025): 29% of Americans always look for reviews of a product they want to buy, and 39% of review readers say they trust them less than five years ago (CivicScience).
  • Suspicion of AI. Clutch: 48% often come across reviews written with AI or faked, and 72% say that suspicion lowers their trust. Reviews on Amazon are trusted by 73%, on Google by 65%, on the brands' own sites by 46% (Clutch).

Both surveys concern the USA and are based on the respondents' own answers. There is no fresh open data on how many reviews a product page needs or which rating is best.

Laws on fake reviews

In the USA in August 2024 the Federal Trade Commission adopted a rule banning fake reviews, including those generated by AI in the name of non-existent people, as well as buying and selling such reviews. The Commission can seek penalties from those who knowingly violate the rule (FTC). The rule is American and doesn't apply in Ukraine, but it shows where regulators are heading.

For reviews on a product page it helps to:

  • provide a summary of the reviews;
  • make it easy to find and filter positive and negative ones;
  • show details about the author that help judge the review;
  • mark verified reviews.

Baymard (article updated in March 2026, Baymard):

  • 89% of sites don't respond to negative reviews; it recommends responding and styling the store's reply separately from customer reviews;
  • 63% don't allow browsing between reviews through customer photos; it recommends a carousel of all photos.

How different sources see it

Clutch and CivicScience measure how shoppers feel about reviews and how much they trust them. Baymard and NN/g look at how usable reviews are: filters, photos, store replies. The approaches don't conflict: you need the reviews themselves, trust in them, and ease of using them.

In Ukraine it is typical to collect reviews on Google, on Rozetka or Prom and on your own site. Don't copy other people's reviews onto a page without permission and don't invent them; mark reviews from verified buyers.

Illustrative example

The numbers are illustrative. A new product page gets its first 5 reviews after an email to buyers asking them to leave a rating. If the page's conversion was 1.0% and rose to 1.5%, and the page has 2,000 visits a month, that is 10 additional orders. Check such an effect with an A/B test or by comparing similar products.

Common mistakes

  • Showing only perfect 5.0 ratings: shoppers suspect fake reviews (see above).
  • Deleting all negative reviews.
  • Leaving negative ones unanswered.
  • Inventing reviews, generating them with AI or "buying" them: this undermines trust, and in the USA it is also banned.
  • Collecting reviews only in the first days and not refreshing them.

FAQ

How many reviews does a product need? There is no fresh open data on an exact number. In practice: start collecting from the first orders and don't wait until there are many.

Do negative reviews hurt? Not necessarily: shoppers look for them themselves to judge the worst case. Respond to them.

Do shoppers trust reviews? Not unconditionally: according to CivicScience (2025), 39% trust reviews less than five years ago, and according to Clutch (2026), suspicion of AI reviews lowers trust for 72%.

How do I collect reviews? Ask buyers after delivery, mark verified buyers, allow photos to be added.

Sources

Want to check this on your store?

CRO / Conversion optimization

We find where the store loses buyers and test the changes that raise conversion.

About the service →

Share

Related

  • Product photos, video and AI generation

    | Article: 3 min read

    A product photo is the main way to show a shopper something they can't hold in their hands. AI generation helps create a background, an angle or an illustration, but it comes with clear rules: in Google Merchant Center such images must be labeled, and the EU…

  • Trust signals

    | Article: 3 min read

    Trust signals are elements of a site that help a shopper believe the store is real, honest and safe to pay: reviews, contacts, delivery and return terms, visual signs of protection on the card form, familiar payment methods.

  • Free shipping threshold

    | Article: 4 min read

    A free shipping threshold is a rule: shipping is free if the order total is at least a set amount (for example, from 1,500 UAH). For the store it is a way to raise the average order value, for the shopper an incentive to add one more item.

  • Online store catalog structure

    | Article: 6 min read

    Catalog structure is how products are arranged into categories, subcategories, filters and page URLs. It answers two questions: can a customer find what they need in a few clicks, and does a search engine understand which pages matter.