It can be really confusing to know which are the most beneficial products to buy if you are into make-up and skincare.
Is there really any difference between a BB cream and a CC cream? How essential is the toner part of a cleansing routine if you have dry skin? What is the best moisturiser to use if you have oily skin and are travelling to a humid climate?
If consumers are asking themselves these questions, brands and retailers are also pondering the same thing as they push to personalise the user experience that they offer.
With the half decade’s worth of beauty data generated from a platform that generates shopper profiles and recommends beauty products, CEO Nidhima Kohli has recently uncovered Beauty Matching Engine. According to Kohli, Beauty Matching Engine helps brands, hair salons and beauty retailers to personalise the shopping experiences of their customers by tailoring their recommendations, upsell suggestions, emails and landing pages.
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