Fragrance Skin Care: Research on Consumer Fragrance Preference and Emotional Value

ABSTRACT In order to explore consumer preference and the relationship of emotional value of high‐end skin care fragrance, five high‐end creams with different fragrances were selected and heavy users of skin care products with fragrance were recruited. The consumer tests were conducted using various consumer research methods, such as a 9‐point Likert scale, cluster analysis, Modified Flash Profile (mFP), Check‐All‐That‐Apply (CATA), etc., to analyse and explore the tested product from multiple dimensions of product preference, population segmentation, fragrance attributes, fragrance impression/scent‐related emotions. The results showed that by screening the target consumers and conducting a combination of consumer research methods, we can gain a systematic understanding of the fragrance characteristics of high‐end skin care products to support formulation development. In addition, the relationship between fragrance impressions and emotional skincare was better represented than in conventional consumer preference tests.

Authors

Publication Details

Journal
Flavour and Fragrance Journal
Published
2025-03-07
DOI
https://doi.org/10.1002/ffj.3858
Primary Topic
Sensory Analysis and Statistical Methods
Type
article
Field-Weighted Citation Impact
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article

Fragrance Skin Care: Research on Consumer Fragrance Preference and Emotional Value

Liling Chu, Rong Qi, Dangdang Cheng
Flavour and Fragrance Journal
Sensory Analysis and Statistical Methods
article

Fragrance Skin Care: Research on Consumer Fragrance Preference and Emotional Value

Liling Chu, Rong Qi, Dangdang Cheng
article en

Abstract

ABSTRACT In order to explore consumer preference and the relationship of emotional value of high‐end skin care fragrance, five high‐end creams with different fragrances were selected and heavy users of skin care products with fragrance were recruited. The consumer tests were conducted using various consumer research methods, such as a 9‐point Likert scale, cluster analysis, Modified Flash Profile (mFP), Check‐All‐That‐Apply (CATA), etc., to analyse and explore the tested product from multiple dimensions of product preference, population segmentation, fragrance attributes, fragrance impression/scent‐related emotions. The results showed that by screening the target consumers and conducting a combination of consumer research methods, we can gain a systematic understanding of the fragrance characteristics of high‐end skin care products to support formulation development. In addition, the relationship between fragrance impressions and emotional skincare was better represented than in conventional consumer preference tests.

Flavour and Fragrance JournalVol. 40(4)
Openalex Percentile: Top 95%
Sensory Analysis and Statistical Methods
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