British online beauty retailer Allbeauty created a new skincare brand called At1 and it draws from the retailer's own skincare sales data. The data-driven skincare brand leverages the fact that thousands upon thousands of products are purchased from the retailer every year and most often, these purchases are made by women between the ages of 35 to 55 so this informed the core demographic for the new brand.
Other insights from Allbeauty helped to determine that these female customers prefer effectiveness, proven active ingredients and premium products, while showing less of a preference for natural and sustainable properties. Still, At1 only uses synthetic ingredients where no natural alternatives are available.
The brand is introducing itself with products like the Luminating Anti-Ageing Serum, made with Superox-C from the Kakadu plum and the Restorative Eye Serum, containing Beautifeye and Gatuline Link N Lift.
What's Driving This Trend
- Data-driven Skincare
- The use of sales data to inform and develop skincare products, catering to specific demographics and preferences.
- Synthetic Ingredient Use in Skincare
- Exploration of synthetic ingredients as a viable alternative when natural options are limited.
- Effective and Proven Skincare
- Consumer preference for skincare products with proven active ingredients and high effectiveness.
Who This Affects Most
- Beauty and Skincare
- Companies in the beauty and skincare industry can benefit from analyzing sales data and developing products that cater to specific demographics and preferences.
- Data Analytics
- The use of sales data to create data-driven skincare products highlights the growing demand for data analytics in various industries.
- Chemical Manufacturing
- As synthetic ingredient use in skincare gains popularity, there is potential for growth in the chemical manufacturing industry to meet this need.
