Aug 2, 2019
Perfectly personalised: beauty products that match your needs exactly
By Duncan Jefferies
Digital technology is revolutionising skin and hair products, thanks to a new range of scanners, apps and 3D models.
Our skin and hair are as unique as our eyes and ﬁngerprints. The weather, our diet, how much sleep we’re getting and countless other factors all inﬂuence their condition. And product ingredients that give one person a healthy glow can leave another red-faced.
That means beauty products designed for dry or oily skin, thin or thick hair, are personalised only in the broadest sense. As such, consumers can struggle to ﬁnd the right products for their particular needs. But the days of scanning countless reviews before buying a new shampoo or moisturiser (and then ﬁnding it doesn’t quite work for you anyway) could be coming to an end.
Beauty care companies both large and small are now harnessing the power of AI, algorithms, apps and scanners to oﬀer consumers an unprecedented level of product personalisation. “We’re moving towards a place where we can evaluate products based on data, rather than how we’re feeling or how the packaging looks,” says Lucile Bonnin, chemist and manager of new dyeing technologies, Henkel Beauty Care. “That’s really the next step in beauty care.”
Like it? Share it!
Henkel’s Schwarzkopf Professional SalonLab exempliﬁes this shift in perspective. Hairdressers can use SalonLab’s handheld analyser, which features near-infrared and visible light sensors, to measure a client’s inner hair quality, moisture level and true hair colour. That data is then processed by an algorithm, which was developed using a digitised hair model based on thousands of reference measurements.
The results are shown on the SalonLab Consultant app, which also uses augmented reality to allow the client to see what a hair colour will look like before it is applied. The app controls the SalonLab Customizer, which can produce personalised haircare products on-site. Hundreds of combinations of ingredients and fragrances can be mixed and dispensed in small portions.
The analyser should appear in selected Schwarzkopf salons in the ﬁrst half of 2019 in Europe. Bonnin says the analyser and app are designed to augment the skills and judgment of hairdressers, and that initial reactions have been positive. “We created this application and this ecosystem to empower them, not replace them,” she explains.
For Billi and Debbie Currie, who run the Billi Currie Salon in Marylebone, London, the great thing about innovations such as SalonLab is that they oﬀer clients something that can’t be bought online. “That kills a lot of salon businesses,” says Debbie, with agreement from Billi. “You can do a consultation, oﬀer a product, and ﬁnd the client is Googling where they can buy it cheaper online.”
Like SalonLab, the Elemis SkinLab also combines personalised product recommendations with a unique experience. A consultation takes 15 minutes and includes a facial mapping service that uses clinical imaging to identify spots, UV damage, wrinkles, problem pores and areas of sensitivity. Based on the results, an Elemis skin therapist will then recommend certain products and facials, and advise the client on their skincare regime.
Noella Gabriel, co-founder of Elemis, believes today’s consumers are much more aware of skincare formulations and how modern living aﬀects their skin, which means there’s no room for gimmicks. “You’ve got to provide something that delivers, that exceeds the client’s expectations, that excites them, and that is relevant,” she says.
SalonLab and SkinLab use a combination of human expertise and technology to deliver personalised products, but home-based tools aimed at tech-savvy Millennials also exist. For example, the Neutrogena Skin360 app and accompanying SkinScanner tool, which ﬁts over the user’s phone, uses a combination of lights, sensors and a 30x magniﬁcation lens to capture the user’s skin condition. This data is fed back to the app and analysed, and the user is then oﬀered suggestions for Neutrogena skincare products.
Bonnin says that many of these beauty tech applications can seem “very judgmental” as they lack the empathy that comes from having a human expert on hand to guide people through their results. For those who do want to order personalised products from the comfort of their own home, there are other options.
Skincare company Proven claims to have built the largest skincare database in the world, called the Beauty Genome Project. It used machine learning algorithms to analyse more than 8m customer reviews, 100,000 skincare products and 20,000 ingredients, as well as 4,000 peer-reviewed scientiﬁc articles – all with the aim of providing products that are highly personalised.
Co-founders Ming Zhao and Amy Yuan’s mutual dissatisfaction with current beauty care products provided the inspiration for starting the company. Zhao says she had tried “expensive ones, ones that promised miracles, ones that made the ingredients sound amazing” but that “none of them really kept their promise with regards to actual results”.
It wasn’t until she tried some personalised products made for her by facialists that she found something that worked, an experience that sowed the seed for Proven. Potential customers ﬁll out a survey on the company’s website, answering questions about their age, ethnicity, skin type and skincare priorities. Their answers are then matched with Proven’s data, and they’re oﬀered customised products created by a team of Stanford University scientists.
The cost of all these services varies from £15 for a SkinLab consultation, which can typically be redeemed if you purchase two or more Elemis products recommended by the consultant, to $49.99 (£38) for the Neutrogena Skin360 app and SkinScanner tool, and $39.99 (£30) for a set of trial-size Proven products, which the company claims should last three to four weeks. Membership of Proven’s service automatically continues at a rate of $120 (£92) every two months, and covers four full-sized, personalised products. The pricing structure of the SalonLab analyser, consultant app and customiser varies, according to the agreement made with the respective salon.
Although costs diﬀer, these personalised services are, naturally, all structured around selling the provider’s products rather than a broad range of beauty treatments. Nevertheless, the lab processes that underpin the competitive nature of the beauty care industry are often developed in an open, collaborative way, with product safety front-of-mind.
For example, a collaboration between Henkel and the Goethe University Frankfurt resulted in the Phenion Full-Thickness Skin model. This 3D bioartiﬁcial model mimics the epidermis and dermis layers of human skin. Recently, as part of a project involving Cosmetics Europe (the European trade association for the cosmetics and personal care industry), the skin model formed the basis of a new test procedure – the 3D Skin Comet assay – that is designed to assess the possible DNA damage caused by potential new ingredients.
“That was something a single lab couldn’t manage on its own,” says Dr Dirk Petersohn, director of biological and clinical research at Henkel Beauty Care, who cites both the project and the public-private structure of the Phenion startup as examples of Henkel’s open innovation approach. “It was a really fruitful collaboration that will help many industries conduct proper genotoxicity testing without using animals.”
With companies such as Allél now oﬀering to read your DNA in order to provide you with bespoke cosmetics, it seems clear that the personalisation trend will continue to drive innovations in beauty care. Bonnin says it represents a new era for the industry – one that is about “understanding how every single ingredient is working for diﬀerent types of people”.