Testing a product with young people - whether children or teenagers - always represents a methodological challenge: difficulty maintaining attention, biases introduced by overly standardized questionnaires… Yet capturing their genuine feedback is essential to help brands develop products that are both suitable and appealing.
At Repères, we have developed a specific approach based on emotional spontaneity, allowing us to get as close as possible to the real experience of these young consumers.
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
Artificial Intelligence is revolutionising cosmetic product testing! 💡 At the SENSORY Congress, Repères Beauty presented innovative approaches to capturing consumers' spontaneous emotions and enriching marketing studies using AI. Discover the key takeaways from this presentation.
How can you test a large number of ideas/trends with consumers to gauge their potential ? How to identify those that will make a difference tomorrow from those that will remain marginal?
An exclusive Repères approach that has proven its worth. A look back at a use case for a food client.
To prepare its innovation plan, our client wanted to evaluate around fifteen new concepts. Using a hybrid methodology combining rational indicators and emotional measurement via the R3M Score®, the study made it possible to prioritise ideas, identify those that were essential to launch quickly and detect areas that needed further work.
The result: a clear, secure and predictive innovation plan for investing in the concepts that create the most value.
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.