Multivariate Solutions is a full service statistical consultancy dedicated to delivering innovative, actionable, data-driven solutions and top line presentations for profitable decision-making, in clear, visual reports.
Multivariate Solutions fully manages market research projects, from questionnaire development, data collection and processing, sophisticated multivariate work, top line presentations, through final report.
The extensive amount of actionable information contained in any political poll requires accurate professional analysis to reveal hidden and overlooked key indicators that make the strategic difference.
Maximum Difference Choice Simulator shows the increase in visits to Sloppy Joe's American Diner if they offer various specials to their frequent customers. The increases in visitation are calculated by using Maximum Difference Analysis and forming a choice model. Email us to request a copy of the simulator.
Olive Oil Conjoint Purchase Intent Simulator is by far the most interesting aspect of Conjoint Analysis. This gives you the ability to “predict” the market share of new products and concepts that may not exist today. This also gives you the ability to measure the “Gain” or “Loss” in market share based on changes to existing products in the given market. Email us to request a copy of the simulator.
Jimmy's Italian Deli Menu Simulator allows Jimmy’s Italian Deli to project its profit gain or loss from raising and lowering prices on individual items. The model is created by using simulated online menus where respondents order from up to 5 different menus. The menu simulator allows restaurants to test what will happen to their bottom line if they raise or lower the prices on certain items. Email us to request a copy of the simulator. …
Mean Drop Summary Analysis
Multidimensional Scaling Maps
Multidimensional Preference Maps
Mean Drop Summary Analysis is a graphic that relates “just-about-right” (JAR) variable responses to reference variables such as overall liking in sensory/consumer research. Penalty, or mean drop, analysis is a tool used by market researchers and product developers to gain an understanding of the product attributes that most affect the…Read More
Multidimensional Scaling Maps transforms consumer judgments of similarity into a two-dimensional space, forming groups such as which products customer would purpose at a supermarket or the causes and effects of climate change. Read More
Multidimensional Preference Mapscan visually depict such queries as ‘What underlying dimensions characterize how consumers view the products?’ or ‘What is the competitive set associated with the new concept?’. Read More
Counterintuitive Marketing +
Cruise ship accidents lead to increases in customer inquiries because they expect bargain rates. Counterintuitive Marketing, published in Research World Magazine, describes additional examples of this phenomenon.
Grow Restaurant Dining Visits +
Grow Restaurant Dining Visits, in Admap Magazine, contrasts brand ratings with operational attributes to determine which factors are most important for increasing visits.
Helping Wrangle Big Data: Monte Carlo for Marketing Research +
Small Data Visualization, published in Quirk's Marketing Research Review, presents two examples for examining primary research - a two-step cluster analysis and a data-mining example that takes existing consumer purchase data and reports the items in which the client should specialize to connect to the greatest number of other products.