Personal Day Doing The Work Daily Exfoliating Treatment Liquid
Product Images NDC 84234-002

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Personal Day Doing The Work Daily Exfoliating Treatment (NDC 84234-002). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Personal Day Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Inner Label (Inner Label)

This text appears to be a description of a skincare product, specifically a Daily Exfoliating Treatment designed for acne-prone skin. The product is dermatologist developed and formulated with Azelaic Acid, Zinc, and Hyaluronate. It is a multi-tasking toner that helps clear congestion, treat breakouts, calm redness, even skin tone, and smooth texture. It is recommended for daily use for congested or breakout-prone skin and for maintaining clarity. The text also provides instructions on how to use the product, along with warnings and information about the manufacturer.*

FDA Label Image

Outer Label (Outer Label)

This is a daily exfoliating toner formulated with 2% Salicylic Acid to treat acne and prevent breakouts. It helps to clear congestion, calm redness, even skin tone, and improve skin texture without stripping moisture. The multi-tasking product is suitable for congested or breakout-prone skin and can be used 1-2 times daily. It contains additional ingredients like Azelaic Acid, Zinc Hyaluronate, and Niacinamide to hydrate and soothe the skin. This dermatologist-developed formula is vegan, cruelty-free, and free from synthetic dyes, making it suitable for sensitive and acne-prone skin. Remember to wear sunscreen as it contains an alpha-hydroxy acid that can increase sun sensitivity.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.