CASE STUDY: JMP044
Pricing Spectacles
by M Ajoy Kumar, Associate Professor Siddaganga Institute of Technology
Muralidhara A, JMP Global Academic Team
Key Concepts: Discrete choice design, regression, utility and probability profiler, willingness to pay

Objective
Design and analyze discrete choice experiments (also called conjoint analysis) to discover which product or service attributes are preferred by potential customers.
Background
Lenzmart is a famous eyewear retail chain that has both an online and offline presence. Of the many products it designs and sells, reading glasses are very popular. There are multiple attributes for a pair of reading glasses, including the frame’s material, shape, color, weight, type and price. The levels of each of these attributes are displayed in Exhibit 1 (see PDF).
The Task
To customize and better position each product, the marketing team of Lenzmart performs the following tasks so that they can understand customer preferences:
- Create an effective and efficient design or set of profiles comprising varying product attributes for their experiment.
- After conducting the experiment, the team hopes to understand:
- Which attribute is perceived of high value by their customers?
- What is the relative importance of each attribute?
- What is the optimized configuration?
- How much are customers willing to pay if there is a change in attribute levels?