Product Images No Foundation Foundation Fair

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Product Label Images

The following 2 images provide visual information about the product associated with No Foundation Foundation Fair NDC 62742-4060 by Allure Labs, Inc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Image of Product: Perricone MD No Foundation Foundation Fair 30ml - ImageNFFF

Image of Product: Perricone MD No Foundation Foundation Fair 30ml - ImageNFFF

The Perricone MD No Foundation Foundation Fair is a patented and researched formula by a dermatologist, Nicholas Perricone. It is a multi-purpose product that provides natural translucent coverage and non-chemical SPF 30 broad-spectrum protection. The product helps correct skin undertones while boosting its moisture level throughout the day with high potency ingredients infused within. The formula is also designed to firm the skin's appearance, soften lines, wrinkles, and pores. It is not for children, and users are advised to reapply every two hours. The product is made in the USA and distributed by NV Perricone LLC, Meriden CT 06450.*

Image of ther product: Perricone MD No Foundation Foundation Fair 59 ML - ImageNFFF20

Image of ther product: Perricone MD No Foundation Foundation Fair 59 ML - ImageNFFF20

Perricone MD No Foundation Foundation Fair is a multi-purpose formula that provides natural translucent coverage to the skin while protecting it with SPF 30. The product is unique because it is patented, researched, and formulated by Nicholas Perricone, M.D., a board-certified dermatologist and anti-aging expert. It delivers powerful results and boosts the skin's moisture level throughout the day. The product is formulated with specially treated pigments that soften the look of lines, wrinkles, and pores, making the skin look smooth and naturally radiant.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.