In the second part of our two-part series on conjoint analysis utilizing the Corus platform, Kevin walks through the results of the sample survey.
Drew Chambers (VP of Marketing) took a conjoint-based survey 20 times focused on the aspects of high-end bicycles that he might consider when buying a new bike. Kevin chose to use an adaptive conjoint question survey instead of MaxDiff because Corus believes that the cognitive load on MaxDiff is too high when there are multiple attributes or variables. Kevin, who knows nothing about bikes, is able to pinpoint exactly the right mix of features to accurately predict the perfect bike for Drew utilizing an adaptive conjoint analysis. A really cool result!
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Topics:
Insider,
conjoint,
conjoint analysis,
hardmath
Utilizing the Corus platform for the first time in this series, Kevin Mabe will show how a conjoint analysis is set up, and what to expect.
This is a particularly interesting video, as Drew Chambers (VP Marketing Corus and avid cyclist) is very involved in the construction of this survey. In this episode Kevin will construct a conjoint analysis utilizing the Corus platform, and show how we perform a basic adaptive conjoint question survey. We'll be setting up the adaptive conjoint analysis utilizing a set of factors around buying a bike. Drew will then take the survey several times to come to a finished product around what factors are most important in his buying decision.
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Topics:
Insider,
conjoint analysis,
hardmath
In the second part of this series on Market Segmentation, Kevin Mabe walks through analyzing the results and robustness of our analysis.
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Topics:
Insider,
hardmath,
market segmentation
In the first part of a two part series, Kevin Mabe, Chief Analytics Officer for Corus, talks about determining a purpose for market segmentation studies, and the benefits of performing this type of analysis.
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Topics:
Insider,
market research,
data analysis,
hardmath,
market segmentation
In our ongoing video blog series, Kevin tackles the basics and not-so-basics of predictive modeling.
All facets of business can benefit from predictive modeling. However, getting that analysis correct is challenging. Most don't take the time to do it correctly, or in some cases haven't even been shown the proper methodology.
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Topics:
Insider,
market research,
dataresearch,
use case,
predictiveanalytics,
predictivemodeling,
hardmath
