Neutrogena’s Newest Collection Addresses Dull, Uneven Skin image

Nearly two-thirds (66 percent) of U.S. millennial women age 23-38 have noticed a shift in their skin's brightness, according to a poll of more 1,100 U.S. women aged 18 and older sponsored by Neutrogena.

Neutrogena’s new four-part collection, Neutrogena Bright Boost, caters to women concerned about dull skin. The new Bright Boost collection includes a resurfacing micro polish, an Illuminating serum, a gel cream, and a facial moisturizer with Broad Spectrum SPF 30.

"We uncovered that the majority of millennial women (84 percent) believe that healthy skin is glowing skin, and nearly 4 in 5 (78 percent) wish there were more products on the market that gently exfoliate skin," says Kerry Sullivan, Vice President of Neutrogena, U.S. Skin Health at Johnson & Johnson Consumer Inc., in a news release. "The Bright Boost line is the perfect opportunity to deliver on this unmet need. “

Anna Rose, Principal Scientist, R&D Skin Health, Johnson & Johnson, explains, "We as women know what women need, so we designed these products with those needs in mind. To counteract the 'skin sins' of our 20s, like late nights, lack of proper sunscreen use, poor food choices and even dehydration, we needed to look beyond simple formulations."

Three of the new products are powered by Neoglucosamine technology, a gentle, non-acid amino sugar exfoliant. It helps boost surface cell turnover, which slows over time, and works in harmony with other skin-brightening ingredients, resulting in brighter, more even-looking skin. Additionally, Neoglucosamine can help minimize the appearance of fine lines. This collection also features Mandelic Acid and Glycolic Acid to brighten skin. Additionally, Neoglucosamine can help minimize the appearance of fine lines.

The survey was conducted online within the United States by The Harris Poll on behalf of Neutrogena from September 5-9, 2019 among 1,107 U.S. women ages 18 and older, among whom 347 are Millennials ages 23-38. This online survey is not based on a probability sample and therefore no estimate of theoretical sampling error can be calculated.