Reviews that match the person reading them.
A home barista on a product page reads that machine’s reviews. A café owner reads a café’s case study, an office manager reads an office’s, and a past buyer reads reviews of their own grinder from people in their state — all from one review library. Switch the visitor below to see all four.
Built with Reviews & Testimonials — see the feature →
One review library. Every visitor sees the part that is about them.
Bring the reviews in
Import them from the review platforms the store already uses or from a file, or collect them on the site. Product reviews, testimonials and case studies live in one library.
Tag who each one is for
A product, an industry, a company size, a region. One case study can carry several tags; a product review is tied to its product automatically.
Let the widget match
As the page loads, the tags are compared with the visitor. Pick how strict: only matches, matches first, or hide the ones tagged for someone else.
How Personyze picks the reviews each visitor sees.
The product page shows that product’s reviews
Product Reviews reads the product on the page. The Duo shows 4.7 from its own 212 reviews and three of them, set to Only matches, so no grinder or kettle review slips in. Below it, a bought-together row.
A café owner reads a café’s case study
She told the store her business type and number of locations on the trade form, and those answers are on her profile. The Testimonial Wall puts the case study tagged for cafés first, and the review cards below it come from other café owners.
An office is recognized without a form
An ABM integration resolves the office IP to a 300-person consultancy. The same Testimonial Wall shows an architecture firm’s story instead, with reviews from office managers at firms of a similar size.
The logos are ones they will recognize
Customer logos carry the same tags, so the café owner sees cafés under “Trusted by cafés like yours” and the consultancy sees professional-services firms.
A past buyer reads reviews of what they bought, from near them
The last order says Mill 64; the IP says Colorado. Reviews matching both lead, set to Matches first, so other Mill 64 reviews fill in behind them and the block is never empty.
And is asked for a review of their own
A Review Form under the hero pictures the grinder they bought and marks the review as from a verified buyer. Every customer is asked the same way, whatever they would rate, and new reviews wait for the store’s approval before they go live.
See how it is built, and where else it fits
Questions about this example
How does Personyze decide which reviews a visitor sees?
Each review, testimonial or case study can be tagged with who it is for: a product, an industry, a company size, a country, region or city, a page. The widget compares those tags with the visitor as the page loads, including the product on the page or the last one they bought, and shows the ones that fit.
Where does a visitor's industry come from?
From anything on the visitor's profile: answers they gave in a form, as the cafe owner did on the trade-account form, fields from a CRM, or company data from an ABM integration that resolves an office IP to a company, as with the consultancy in this example.
What happens when no review matches a visitor?
That depends on the strength chosen for each rule. With Matches first, matching reviews lead and the rest fill in, so the widget is never empty. With Only matches, as on the product page here, only matching reviews show, and if none match, the widget is not shown to that visitor.
Show your visitors the proof that fits them.
Bring your reviews, testimonials and case studies into one library, tag who each is for, and let every page show the ones that match the person reading it.