Product Images No7 Soft And Sheer Tinted Moisturiser Medium

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Product Label Images

The following 2 images provide visual information about the product associated with No7 Soft And Sheer Tinted Moisturiser Medium NDC 61589-1905 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.

Soft and Sheer Tinted Moisturiser carton - Soft and Sheer Tinted Moisturiser carton

Soft and Sheer Tinted Moisturiser carton - Soft and Sheer Tinted Moisturiser carton

This product is a Soft and Sheer Tinted Moisturizer that hydrates and protects your skin while adding a natural glow. It contains sunscreen SPF 15 and light-reflecting particles that help reduce the appearance of fine lines and flaws. The moisturizer is hypoallergenic and has been dermatologically tested. It is not intended for children under 12 years old and not for use while sunbathing. The product should be applied evenly at least 15 minutes before sun exposure and reapplied as needed. The package contains 50ml.*

Soft and Sheer Tinted Moisturiser tube - Soft and Sheer Tinted Moisturiser tube

Soft and Sheer Tinted Moisturiser tube - Soft and Sheer Tinted Moisturiser tube

Soft & Sheer Tinted Moisturiser is a hypo-allergenic 50ml moisturiser suitable for all skin types. It comes with an SPF 15 sunscreen and active ingredients including Octinoxate 5% and Titanium Dioxide 1.9%. This tinted moisturiser can hydrate the skin for up to 12 hours while also evening out complexion for a natural finish all day long. It has been dermatologically tested and features light-reflecting particles that help to smooth the appearance of fine lines and flaws. Ready to face the day, just shake before use and smooth it evenly like your usual moisturiser. It is made in France for BBI Ltd and distributed in the USA by Boots Retail USA Inc.*

* 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.