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Conjoint Analysis

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Conjoint analysis is based on a model of buyer behavior which underlies many other marketing research techniques. Any product or service is viewed as a combination of attributes, each of which makes some contribution (positive or negative) to its acceptability. With conventional product testing, usually one or two attributes are considered to see what effect a change has on overall preference. With conjoint analysis, we can estimate the effects of many different attribute-level changes in one study.

NMM’s software uses Adaptive Conjoint Analysis (ACA). Data are collected over the Internet. In older versions of conjoint analysis, respondents worked with a fixed set of attribute trade-offs. In ACA, the questions adjust to the individual’s earlier answers – that is, it "adapts" as the respondent makes more and more choices. This lets us estimate the buyer’s utilities for a large number of attribute combinations with a small number of questions because the system skips the obvious choices and zeroes in on the ones the buyer is truly trading off. This also makes the task shorter and more interesting for the respondent.



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Our approach allows for varied methodology applications.  From every nth visitor to password protected, by invitation only surveys, we can adapt our approach to your situation.