Product Images No7 Stay Perfect Foundation Sunscreen Spf 15 Almond 30

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The following 2 images provide visual information about the product associated with No7 Stay Perfect Foundation Sunscreen Spf 15 Almond 30 NDC 61589-1816 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 30ml foundation that offers picture-perfect skin from morning till night. It contains active ingredients such as Octinoxate 5% and Titanium Dioxide 1.6%. The foundation is soft, silky and flattering in any light, and rub-resistant. It is a good choice for those who do not want their pores blocked. The foundation needs to be shaken well before use and can be applied with fingers or a sponge. It is made in France for BBI Ltd NG2 3AA, UK and distributed in the USA by Boots Retail USA Inc., Stamford CT 06901. For more information, visit www.boots.com. If you have any questions in the USA, call 1-866-75-800TS -324M.*

Stay Perfect Fdn carton - Stay Perfect Fdn carton

Stay Perfect Fdn carton - Stay Perfect Fdn carton

Stay Perfect Moisturizing Foundation is a perfume-free, long-lasting foundation that provides a perfect and flawless finish. It has a sunscreen SPF 15, is hypoallergic, and is perfect for all-day wear. The foundation is easy to blend and creates soft, silky, and photo-perfect skin that lasts all day without letting you down. It resists rubbing and won't block your pores. This foundation is created to work as a normal foundation and should be applied evenly at least 15 minutes before sun exposure. It's not recommended for children under 12 and is intended for cosmetic purposes.*

* 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.