Methods

Hair color is one of the most demanding segments in the cosmetics industry. The extreme diversity of hair profiles, consumers' high sensitivity to color results, and the complexity of formulas to evaluate all make designing rigorous consumer tests in this category a true niche expertise. It is precisely in this category that Repères has established itself over more than twenty years as a trusted partner for the sector's leading players.
Whatever the objective - competitive benchmarking, formula renovation, or innovation - succeeding in a consumer test requires a tailored approach and expert support, both for at-home tests and in-salon evaluations.

Augmented Preference Mapping: integrating overall liking into the construction of the sensory map via MFA for better preference modelling

When testing sweet products, study design strongly impacts consumer perception. Discover how Repères secures sugar-reduction testing using sequential monadic protocols, home use tests, and emotional measurement to capture true acceptability

Reco #1 —At-home vs in-hall testing: where to conduct product tests for genuine consumer feedback?

Reco #2 — Monadic vs Sequential: how to structure tests for reliable and actionable results?

Reco #3 — Blind vs Branded product tests: are you testing the formula or the full offer?

Reco #4 — Measuring what consumers feel… Not just what they say

No sensory data available on your products? Use consumers' own words to describe and model their preferences!
Although sensory description by experts remains the most effective approach for mapping preferences, Repères has demonstrated that consumer language can be a good substitute for understanding product perception, positioning products and modelling preferences.

Immerse Yourself in a Multi-Sensory Creative Experience Towards a Prosperous Future for Businesses!

Augmented Preference Mapping (Prefmap): Leverage consumers' spontaneous feelings to go beyond simple liking.
Enrich consumer understanding, better connect with sensory data to improve Prefmap modeling.