Attributes earn their keep on the storefront. Once your review form collects answers like fit, quality, or skin type, your widgets can show them as breakdowns and filters, so a shopper stops reading strangers and starts reading people like themselves.
If you have not set up attributes yet, start with Collect attributes with your review form.
On the PDP Reviews Widget
The attribute breakdown. Aggregated scores near the rating summary, like fit bars showing "runs small to runs large" across all reviewers. Turn it on with Show attribute breakdown in the block settings.
Attribute filters. Shoppers filter reviews by attribute values, for example only reviews from people with sensitive skin. The filters appear automatically for attributes that have enough answers.
Per-review answers. Each review card can list the reviewer's own answers. Toggle Show attributes on each review.
[SCREENSHOT: Attribute breakdown and filters on the PDP widget]
Your featured attribute
In Reviews, then Attributes, mark one attribute as Featured and it becomes the hero: the score your product page leads with next to the rating. Pick the one that answers your shoppers' biggest doubt. For apparel that is usually fit, for skincare it is usually whether it worked for their skin type.
On the Reviews Sidebar
The sidebar carries the same intelligence in its panel. The Show attributes toggle in the sidebar's settings adds attribute context to its reviews, so the floating panel answers the same "people like me" question on every page.
What shoppers see when data is thin
Widgets only show attribute elements once there are enough answers to mean something. A brand-new attribute stays invisible on the storefront until reviews carrying it arrive, so you never display a fit bar built on two opinions. On Unlimited, Extract with QI backfills attribute answers from your existing review text and gets you to useful density fast.
š” Tip: Less is more on the storefront. One featured attribute plus two or three filterable ones reads as helpful. Ten reads as a survey. Keep the rest for your analytics.