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Market Share With Optimal Product

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Figure 4: Predicted Market share with Optimal Product 1
- Packaging, labelling and branding the new Kirin product with an European name and label design
- Pricing the product at $4.8 per bottle
- With low calories and full bodied texture packaged and sold in a pack of 6 brown-painted 12 ounce bottles.
Question 6
Now use the conjoint part-worths to run another segmentation analysis and explore whether there are distinct segments (as opposed to the overall market) that would prefer the new Kirin product you designed. [Note: you may need to create a new data file that combines the partworth data sheet from the conjoint file with the discrimination data sheet from the segmentation file, or to be able to toggle back and forth between these two files to select the required data to run the analysis]. Should you standardize the data when running this segmentation analysis? [why or why not]. After running the segmentation tool, how many segments do you find? Which segment looks most promising for Kirin, and what market share could Kirin achieve in this segment? Is it worthwhile for Kirin to design a brand specifically for this segment? Explain.
A. While running the segmentation analysis with the part-worth data we didn’t need to standardize the data as the same scale is used both for the discriminant and part-worth data (now the segmentation data). After running the segmentation analysis, we get 3 clusters as displayed by the following dendogram- Figure 5: Dendogram for

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