A shopper with dry skin lands on a moisturiser’s product page. The reviews say “4.5 stars from 120 reviews.” She reads a couple — one rave from someone with oily skin, one complaint from someone with sensitive skin. Is this product for her? She’s reading for the signal but the reviews don’t tell her whose experience matches hers.
Demographic review data closes that gap. Your form asks each reviewer about their skin type, their body type, their experience level — whatever context matters for the kind of thing you sell. That context travels with the review so shoppers can tell at a glance whose experience is relevant to theirs.
How it’s collected
On any review form, fields of eligible types (Dropdown, Single Choice, Multiple Choice, Yes/No, Scale) can be flagged as demographic. The flag does two things at collection time:
- The form treats the field as reviewer-profile context, not review content.
- The answer stores on the review alongside the star rating and body.
You build demographic questions the same way you build any other form field (see the Custom form builder). Typical setups:
- Skincare form. Skin type (oily, dry, combination, sensitive, normal). Skin concerns (acne, redness, ageing).
- Apparel form. Body type / shape. Usual size. Height range. Fit preference.
- Supplement form. Reason for use. Duration of use.
- Fitness gear. Experience level (beginner, intermediate, advanced).
Which questions appear on which form is up to you. Fields can be required or optional; optional yields more reviews, required yields better data coverage.
How it renders
The demographic answers render alongside the reviewer’s name on each review card — a chip or short label like “Dry skin · Age 25-34” sits near the name, so readers can see at a glance whether the reviewer is relevant to them. The review body stays where it is; the demographic context becomes part of the reviewer’s visible profile rather than buried in the free text.
Are you considering Yotpo or Okendo?
Yotpo and Okendo are both mature SaaS review platforms with built-out demographic aggregates, filters, and analytics at their higher tiers. They function this way: reviews live in their platform, the aggregate UI and filters live in their platform, monthly pricing scales with review volume.
Trustie Pro’s demographic feature today functions this way: collection and on-card rendering, inside your WordPress site, at plugin cost. Without the aggregate-per-segment display and filtering that Yotpo / Okendo ship, the reviews carry the context but shoppers can’t slice by it in the UI.
The fit: if demographic-filtered aggregates are a must-have right now, a SaaS platform that has them today is the right call. If you want the data captured with your reviews and ready to be aggregated in a future release, Trustie sets that up.
Why shops collect it anyway
Even without aggregate display today, the per-review chips are already useful: a shopper reads a five-star review from “Dry skin, age 40-49” and clocks whether her own situation aligns. That’s valuable on its own. And the data gets richer the longer you collect — so when aggregate display does ship, your existing reviews already have the context built in.