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How to design an optimal package for your product?
To answer this question, we developed a dynamic, on-the-fly optimization algorithm that combines traditional experimental research with an optimization learning process.
The benefit of our method is that you can explore a vast space of alternatives, with the freedom to testing hundred of thousands of combinations of graphic designs, on-pack benefit statements, pictures etc.
Eventually the method will narrow down the parameter space, acquiring observations only for a limited number of high-potential combinations while understanding the drivers of preference through "why" questions. As a result, you will be able to obtain the same levels of detail for each of them you would expect from a monadic concept test.
This deck was presented at the 2013 Advanced Research Technique (ART) Forum, organized in Chicago by the American Marketing Association