One check came back concerning — look at that one closely before you buy.
Based on 3 of 8 checks — a score built on fewer checks isn't comparable to one built on more. No buyer-review data underlies this number.
Amazon’s own rating of this seller — shipping, packaging, returns. It doesn’t tell you if the hair is good; it tells you if they ship what you ordered.
Amazon didn't say what period this covers. Amazon didn't show a star-by-star breakdown for this seller.
On Amazon, a shop can call itself almost anything. A brand’s name on a shop doesn’t prove it’s really that brand. Here’s what their Amazon record actually says.
What we haven’t checked: whether this shop is connected to any brand with a similar name. If that matters to you, the brand’s own website usually lists its official sellers — compare that list with the name and address above.
The other 5 haven't run yet or found nothing — each one says which. Empty checks aren't scored and don't count toward the rating.
How to read these: higher is better. Green is Clear, gray is Mixed, and orange is Concerning — orange is rare, so take it seriously when you see it.
Storefront address differs from the listing's claimed origin.
2 listings under this seller; 100% share the same stated origin.
Listing copy is unique relative to indexed listings.
Ran, but found nothing to report for this seller.
No data for this signal yet.
Too few indexed reviews to measure — not scored.
Ran, but found nothing to report for this seller.
Ran, but found nothing to report for this seller.
Each check carries a fixed weight in our eight-check model. Checks that found nothing carry no weight here, and the weights of the 3 that did (covering 50% of the model) are re-balanced to sum to 100% — so absence of evidence can’t drag the score down, and the headline number won’t match a straight average of the visible rows.
We haven't indexed any reviews across this seller's 2 listings yet — the marketplace shows 16.
These are single buyers’ dated reports, quoted as written — not a lifespan measurement. Treat them as a weak signal, and weigh how many reviews sit behind them.
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