Price: $7.99 - $6.97
(as of Mar 11,2025 09:20:07 UTC – Details)
The prices listed in the article are accurate as of the time of publication and may change. Please check the linked page for the most up-to-date prices.
View on Amazon
Here are Today’s Best Deals at Amazon
Uses color theory to effectively mask visible imperfections. It is a creamy under-eye concealer that glides on smoothly and offers full coverage without caking. Non-drying concealing stick. Yellow hides blemishes, under-eye circles and other minor skin imperfections.
Is Discontinued By Manufacturer : No
Product Dimensions : 0.85 x 1.85 x 5.55 inches; 0.15 ounces
Item model number : PF837
UPC : 044386008373
Manufacturer : Physicians Formula
ASIN : B007T9V0Q8
Country of Origin : China
CONCEALER STICK: This Gentle Cover Concealer Stick in yellow uses color theory to effectively mask visible imperfections. It hides blemishes, under-eye circles and other minor skin imperfections.
GLIDES ON EASILY: This gentle, creamy formula comes in a non-drying stick and glides on smoothly for easy application. Use alone or under makeup. It’s hypoallergenic, fragrance-free and non-comedogenic.
EXPLORE OUR COLLECTIONS: We make a full line of beauty products for eyes, lips, face and skin care, from bronzer, concealer and foundation to eyeshadow and mascara, plus serums, eye creams and clay masks.
HEALTHY BEAUTY PRODUCTS: Every one of our products is hypoallergenic, safe for sensitive skin and eyes, and created without any of the 150 plus known harsh ingredients found in other personal care items.
Customers say
Customers find that this concealer provides good coverage for dark under-eye circles. The yellow tint masks the bluish tone of under-eye circles and covers deeper red pigments. They appreciate its ability to brighten the under eye area. Many consider it a nice product that helps cover blemishes and dark circles under their eyes. The color match is also considered good, with most customers finding it a fair light shade that matches their skin almost perfectly.
AI-generated from the text of customer reviews