Creascience offers you its statistical expertise in preference mapping methods. Such methods are powerful tools for product development and allow you to explore the structure and tendencies of consumer choices. The preference mapping methods are particularly useful in the fields of market research and R&D and continue to grow in popularity.
This set of multidimensional methods can be used to:
- Explore and understand the structure and tendencies of consumer preferences
- Link consumer preference information to other data - i.e. demographic or product characteristics
- Predict the behavior of consumers in term of acceptance of a given product
Your Needs
- To understand the market and reveal its segmentation
- To identify the key characteristics contributing to the preference of products
- To benchmark your products and compare them to your competitors
- To successfully develop new products
- To reduce product development cost and time by optimizing the use of existing information
- To study the effect of concept marketing
Our Solutions
With the expertise acquired through many consulting mandates, our team can assist you at all stages of your study to help answer your research objective: study design, sample size, data analysis, graphical output and interpretation of results. Moreover, the use of complementary methods increases the information obtained by the techniques of preference mapping.
Examples of Our Interventions
- To define the study design and methodology: number of consumers, number of products, statistical design of data collection
- To produce graphical summaries of the results
- To classify the products according to their acceptability
- To correlate the preferences with the information obtained on the products: instrumental, physicochemical and sensory measurements
- To relate preference information to demographic data: projection of consumer characteristics onto the graphs
- To classify consumers according to their preference and to characterize these segments of the population
- To identify the potential axes of development
To answer your research questions, a variety of multivariate statistical methods are at your disposal:
- Internal Preference Mapping: MDPref
- Extended Internal Preference Mapping
- External Preference Mapping: PrefMap
- Clustering / Segmentation: hierarchical methods, modeling methods, optimization methods
- PLS: Partial Least Square
Training
Creascience also offers applied training sessions on a variety of statistical methods, one of which is dedicated to preference mapping methods. This one-day training course on the statistical aspects of the internal and external preference mapping includes the statistical basis of these methods, their use and the interpretation of the results, both numeric and graphical. Case studies and the use of statistical software allow participants to immediately put their knowledge into practice.To learn more on this training session, go to this page.