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Skin Age & Hair Age - Why we do NOT measure Biological Age

  • Writer: IQONIC.AI
    IQONIC.AI
  • Jul 3
  • 2 min read

An increasing number of consumers expect customised solutions, including in skin and hair care. Our analysis enables cosmetics companies to offer their customers innovative added value that goes far beyond traditional product advice. A central element of this technology is the determination of ‘Skin Age’ and ‘Hair Age’. Contrary to what one might assume, however, this is not about measuring biological age, but about the actual age of skin and hair. These parameters record the functional condition of skin and hair in order to form a basis for customised product recommendations.


What do our Skin Age & Hair Age Parameters measure?

Skin and hair age due to environmental influences, lifestyle, care behaviour and internal factors, as well as the passing of years. Therefore, the actual biological age says little about the current condition.

  • Skin Age describes the functional condition of the skin, for example in terms of elasticity, moisture balance, and UV damage.

  • Hair Age shows how healthy or stressed the hair currently is, for example due to heat styling, chemical treatments, or other stress factors.


Both values serve as an easy-to-understand guide, showing how old the skin and hair actually appear compared to biological age.


How does the Analysis work?

Skin Age and Hair Age form part of a more comprehensive analysis concept, which involves recording numerous parameters. Based on these measurements, Skin Age and Hair Age are calculated and presented as easy-to-understand key figures. These figures provide users with an immediate assessment of their current skin and hair condition, helping them to identify the exact skincare products needed to restore balance to their skin or hair.

Example: Hair Age
Example: Hair Age

Determining Skin Age and Hair Age enables:

  • Personalised product recommendations based on measurable skin and hair needs

  • Greater customer satisfaction thanks to visibly more suitable care results

  • Building trust by providing data-based, objectively verifiable recommendations

 
 
 

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