Reviews & Ratings

The threshold most shoppers anchor on is somewhere between 8 and 20 reviews. Below that, the average rating reads as statistically thin and shoppers discount it. Above 20, additional volume helps mainly through the long tail of written content showing attribute-specific use cases.

Show it. A visible 4.2 with 80 reviews converts better than a hidden rating, because absence reads as zero. The exception is products with fewer than 5 reviews — those can be hidden until coverage builds, since the average is too volatile to be useful.

Yes. Verified badges materially lift trust per-review, especially for shoppers comparing across brands. On Shopify and WooCommerce most review apps handle this natively by tying the review to the order ID, so the engineering work is usually a one-time switch in the widget config.

They lift volume by roughly 2-3x and lift the average rating by about 0.1-0.2 stars. Most shoppers expect this and discount accordingly. The bigger risk is incentive cannibalisation of full-price purchases — gate the code so it only fires for first-time reviewers.

Skin type, skin concern, age range, and tone match. These let a shopper find reviews from buyers like themselves, which is the actual job-to-be-done. Generic filters like 'most helpful' or 'most recent' should be present but secondary.

Treat them as different layers. Trustpilot and Google ratings are brand-level signals that show up in ads and search snippets. On-page product reviews are product-level signals that close the sale. Most stores need both; they don't substitute for each other.

One ask 7-14 days after delivery, one reminder 7 days later, then stop. The first ask captures 70-80% of total replies. Pushing further hurts deliverability and brand perception without meaningful incremental volume.

Adjacent to the product title, above the price, with the review count clickable so it scrolls to the full review section. The scroll-to-section pattern preserves the buy box while letting research-mode shoppers go deep without leaving the page.

Strongly. Reviews flagging fit issues are leading indicators of upcoming return spikes — particularly in apparel. Reading the last 30 days of 2 and 3-star reviews on your top SKUs is usually the cheapest returns-prevention exercise you can run.

Only when they violate policy — fake, off-topic, profane, or referencing the wrong product. Removing genuine negative reviews backfires when shoppers notice the all-5-star pattern. A handful of 2 and 3-star reviews with a thoughtful brand reply actually lifts overall trust.