One statistical test is the Monte Carlo simulation. This advanced simulation allows our researchers to estimate market size, market potential, sales forecasting and lucrative price points.
Another technique is “Derived Importance.” The idea behind this technique is to reflect a consumer’s actual purchasing behavior, instead of just a consumer’s statements of important criteria for a product that do not reflect his true purchasing behavior. Thus, SIS can quantitatively analyze consumer attitudes, consumer behavior, or both. Attitude, as measured by stated importance, is a direct reflection of purchase motivation, or what the consumer believes leads him to buy. Behavior, as measured by derived importance, is an indirect measure of purchase motivation, but is actually what leads the consumer to buy. The required data encompasses attribute ratings on a wide range of brands within the consideration set. The dependent variable can be purchase intent, brand preference or purchasing behavior on the same brands.
Buyer Segments are a quick add-in when conducting consumer testing for products such as Consumer Goods, Food & Beverage, and Electronics & Computers. Data can be demonstrated in multidimensional visuals like Perceptual Maps, Correspondence maps, Multidimensional Scaling, BiPlots, Multidimensional Preference Maps and many other ways that effectively convey insights.
SIS provides decision makers with comprehensive insights on their web stakeholders.
Organizations often consider the Internet as a wild frontier where stakeholders have the power to rapidly influence the opinions and behaviors of other web surfers. The stakeholders’ effects on companies are often substantial: