Test scenario: Beer shelf, with about 80 products (=purchase choices)
Factors: 4
• Price / Pack Size levels: 5 price levels
• Label / Pack Design: 2
• Shelf Space: 3
• Shelf Position: 3
Full factorial combinations: 5 x 2 x 3 x 3 = 90 (plus NONE option)
Restrictions: variation tied to 1 particular brand (with several
Required:
• You: Determine minimum number of test combinations to estimate individual factor
• You: Show profile of each (fractional factorial) test combination
• You: Recommend optimal sample size of respondents
• We: produce test stimuli, run choice interviews, collect data
• You: run analysis for total sample, 4-5 sub-groups
• You: provide market simulator (optionally)
Hello,
Expert here,
I am a Statistician involved in United Nations Projects in Geneva.
I would be very happy to assist you , Please share more details about your project.
I am available to discuss now.
Hear from you soon
Best Regards
Fouad
I am an analytics professional with more than five years of experience in the field. I would love to work on this CBC with you and help you ascertain the right characteristics for your product.
Here is what the output might look like:
I will send you an excel spreadsheet containing the results of this analysis. The results will be divided into different sheets:
Factors: this sheet will contain the characteristics of the selected factors
CBC Design: this sheet will contain the profiles generated
CBC: this sheet will contain the results of conjoint analysis (CBC)
Simulated market: this sheet will contain the complete market to simulate
Market Simulation: this sheet will contain the results of the market simulation.
Do reach out to me in case you have any questions and I will be happy to answer!
I did conjoint analysis even in previous century...
Wrote articles on conjoint analysis use cases (they are in Russian, so no link, howevere you can find my profile in LinkedIn)
Sounds like a fun project. You've laid out the project plan well. The only thing I would add is a beginning phase of project defining and scope. That is, getting clear on your project goals, the hypotheses you wish to test/explore, and the level of data and type of analyses that are appropriate (this will impact the desired sample size calculations).