Product Images Botanics Face Lift Firming Sunscreen Spf 10

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Botanics Face Lift Firming Sunscreen Spf 10 NDC 11489-059 by Bcm Ltd, 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.

Face Lift Firming Cream back - Face Lift Firming Cream back

Face Lift Firming Cream back - Face Lift Firming Cream back

Active ingredients include Avobizane 3.0%, Dclisdlofé Z25%, and OEHToNte 7%. It is advised to avoid direct contact with eyes and skin. In case of contact, rinse thoroughly with cold water. The color may vary due to natural extracts and there may be some variations if in contact with fabric. The product is manufactured in the UK and distributed by Boots Retail USA Inc. For any questions, customers can call 1-805-75-BOOTS.*

Face Lift Firming Cream carton - Face Lift Firming Cream carton

Face Lift Firming Cream carton - Face Lift Firming Cream carton

This seems to be a product description, probably of a skincare product. The product appears to contain active plant extracts and has SPF 10. The description mentions that it helps in diminishing signs of aging, maintains skin elasticity and collagen leaving skin soft, firm, and smooth. The product has been dermatologically tested. Also, there are instructions, warnings, and drug facts mentioned. Overall, it seems to be a product aimed towards mature skin that needs nourishment and protection.*

Face Lift Firming Cream front - Face Lift Firming Cream front

Face Lift Firming Cream front - Face Lift Firming Cream front

The text appears to be a product label or advertisement for a botanical product called "Botanics", with a volume of 50ml and a price of €1.69 ($1.99 in USD). The product claims to harness the power of plants.*

* 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.