Product Images Lbel Effet Parfait Spots Reducing Effect Foundation Spf 18 - Obscure 8a

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Product Label Images

The following 3 images provide visual information about the product associated with Lbel Effet Parfait Spots Reducing Effect Foundation Spf 18 - Obscure 8a NDC 43596-0017 by Ventura Corporation, 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.

Effet Parfai 8g A - EffetParfait8gA

Effet Parfai 8g A - EffetParfait8gA

L'BEL Effet Parfait is a foundation with a spots reducing effect and SPF 18. It has Octinoxate (7,5%) and Oxybenzone (2%) as active ingredients that help prevent sunburn. However, it does not protect against skin cancer or early skin aging. The foundation should not be used on damaged or broken skin and should be kept away from eyes. In case of a rash, stop using the product and consult a doctor. The foundation is distributed by Ventura International Ltd. in the US and made in Colombia.*

Effet Parfait 8g B - EffetParfait8gB

Effet Parfait 8g B - EffetParfait8gB

Effet Parfait is a line of innovative makeup products from L'BEL that helps in concealing and correcting imperfections while providing youthful and glowing skin. Its Perfecting Technology transforms the appearance of the face and prepares the skin for makeup application. The Spot Reducing Effect Foundation SPF 18 adapts to the needs of one's face and diminishes spots, evens out skin tone, and conceals dark areas effectively. However, it is only shown to help prevent sunburn and not skin cancer and other skin aging signs. To attain perfect skin, Effet Parfait recommends a skincare routine involving Retexturizing Gel, foundation, rejuvenating concealer, and compact powder based on one's skin needs.*

Effet Parfait 8g C - EffetParfait8gC

Effet Parfait 8g C - EffetParfait8gC

* 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.