Sephora
Product Reviews · Beauty Insights
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review-title
Headline of the customer review
review-body
Full text of the customer review
shade
Product shade / variant the reviewer chose
recommended
Whether the reviewer recommends the product
reviewer-name
Display name of the reviewer
skin-profile
Reviewer's self-reported eye color, skin tone & type
verified-purchase
Whether the review is from a verified purchase
review-date
Date the review was posted
helpful-yes
Number of "helpful" up-votes the review received
helpful-no
Number of "not helpful" votes the review received
Shade & Formula Feedback. Break reviews down by shade and variant to see which colors and formulas win, and which draw complaints about texture, wear, or color accuracy.
Skin-Profile Segmentation. Segment sentiment by the reviewer's eye color, skin tone, and skin type to learn how a product performs across different people — invaluable for matching and recommendations.
Ingredient & Ethics Sentiment. Surface recurring themes such as cruelty-free, fragrance, or sensitivity concerns from review text to inform product and messaging decisions.
Incentivized-Review Detection & Social Proof. Separate gifted or incentivized reviews from organic ones, then feature your highest-voted "recommended" reviews as testimonials.
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