Product Images No7 Stay Perfect Foundation Sunscreen Spf 15 Vanilla 25

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The following 2 images provide visual information about the product associated with No7 Stay Perfect Foundation Sunscreen Spf 15 Vanilla 25 NDC 61589-1815 by Bcm Cosmetique Sas, 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.

Stay Perfect Fdn bottle labels - Stay Perfect Fdn bottle labels

Stay Perfect Fdn bottle labels - Stay Perfect Fdn bottle labels

Stay Perfect Foundation Sunscreen SPF 15 is a hypo-allergenic beauty product that can protect your skin during the daytime. It comes in 30ml volume with active ingredients such as Octinoxate (5%) and Titanium Dioxide (1.6%). This moisturizing foundation is soft, silky, and rub-resistant to give you the perfect skin you desire. You'll have no trouble using a sponge or your fingers to blend it on smoothly and evenly, as well as being non-pore blocking. The product is manufactured in France by BBI Ltd NG2 3AA for distribution in the USA exclusively by Boots Retail USA Inc. at Stamford CT 06901. If you have any questions or concerns, you can call 1-866-75-800TS —324M.*

Stay Perfect Fdn carton - Stay Perfect Fdn carton

Stay Perfect Fdn carton - Stay Perfect Fdn carton

This is a description of a foundation product called Stay Perfect by Nord. It is a hypo-allergenic foundation in a 30ml container with sunscreen SPF 15. The foundation provides a long-lasting and flawless finish. The active ingredients include Octinoxate 5% and Titonium Dioxide 1.6%, which serve to protect against the sun. The product is not for children under the age of 12. It contains inactive ingredients such as water, Cyclopentasiloxane, Mica, and Ethylhexyl Stearcte. It is easy to blend without blocking the pores, rub resistant without a fragrance, and made in France for BBI.*

* 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.