• Zoe Barnes

How Can Digital Beauty Consultancy Technology Help Your Customers?

Digital Beauty Consultancy is a growing industry, and can mean many different things depending on who is wielding that technology. It can mean anything from using selfies that analyse skin type to personalised beauty shopping. Sometimes, though, it’s easy to get loaded down with all the figures and statistics when, really, you want to know about what the straight-forward appeal might be for your customers. So, practically and simply, what can a digital beauty consultant technology do to help your customers?


1) Needs


First off, when utilising AI-powered, beauty-specific, personalisation technology, the individualised, unglamorous needs of the customer are significantly taken into account. Some selfie-based tools do this by following patterns that have already been observed. Others, like My Beauty Matches, allow the customer to focus on highlighting their own greatest concerns. These needs will be individually addressed and individually assessed, encompassing anything that might be important: condition of skin and subsequent skin complaints, whether that’s more health-based (e.g. eczema) or aesthetic (e.g. circles under eyes) as well as addressing hair conditions or complaints that tend to be more important for those of certain ages or genders.


Addressing these needs tends to form the basis for our personalised beauty recommendations.


2) Preferences


The digital beauty consultant can then be geared towards preferences coming into play. Whether that’s the particular colours that customers gravitate towards, or fragrances that they feel most comfortable calling their own. By acknowledging customer preference, the digital beauty consultancy process allows the customer to have a greater sense that they are involved in a dialogue, and that the information gathered is truly helping them. It’s also worth noting that customers don’t always fall into neat columns, and having a digital beauty consultant acknowledge preferences can help pin down the trickier customer. Every single preference may not literally all be taken into account with the initial diagnostic quiz but, over time, the habits of the customer form a basis for further personalised beauty recommendations.




3) Budget


Different customers, from different backgrounds and with different incomes, can be catered for using a digital beauty consultation beauty-specific personalisation technology. Some cosmetics brands and beauty retailers will have a wide variety of products with a wide range of prices, and it would make no sense to suggest a £258 foundation when you have a customer who wouldn’t want to spend more than £15, whether because they think the higher price is too much money to spend on a beauty product, or because they simply can’t avoid it.


By taking budget into account, an AI driven digital beauty consultation technology makes sure that brands and retailers aren’t turning customers off before they’ve properly started browsing.


4) Ethical concerns and Ingredients

Beauty Matching Engine can take into account ethical concerns and ingredients when designing a personalised beauty matching service for its clients. Whether your customers are looking at entirely vegan products, free of animal cruelty, or whether they want shampoos that don’t use parabens and foundations with a high SPF rating. If you’re a brand that prides itself on transparently engaging with its customers, this is an invaluable way of making sure the right products are presented to your customers quickly and efficiently, letting them off the hook of looking through every label they might come across just to make sure that there are no sulphates.


Do you want to see how digital beauty consultation technology can be adapted to any particular brand or retailer, and the needs of your customers? Then look for the 'Book a Demo' button.

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