Coke Brand Differentiation Example shows how to differentiate between coca-cola consumption groups in order to plan targeting which will move Weekly drinkers into the Daily category and Monthly drinkers into the Weekly category.
Restaurants and Food Service
Project Chocolate Dessert Snacks Report is an example of a concept test report that illustrates the uses of JAR (Just about Right) techniques, mean drop visuals, and regression drivers.
Measured Management Employee Satisfaction exhibits a regression model of how to predict employee retention in the high turnover restaurant management market.
Menu Revenue Simulator allows Jimmy’s Italian Deli to project its profit gain or loss from raising and lowering prices on individual items.
Virtual Supermarket – Multidimensional Scaling Visual is a technique that illustrates which products customers tend to purchase together. This tool is often utilized to optimize retail space.
Bush Jr’s Derived Importance Among Bush Jr’s Approvers shows how Bush Jr’s fares against its main competition on important customer attributes.
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 propensity to purchase a new product—it is particularly useful in consumer goods and confectionery/snackfood, and food products.
Discrete Choice Market Share Simulator – The Big George shows the gain/loss of market share of the Bush Jr.’s signature sandwich as it raises or lowers its prices, or the prices of key competitors.
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.
Loyalty ROI – Maximizing Loyalty Points examines Loyalty programs and discusses a forecast method to maximize their point value.
Segmenting the Burger Market is a key communication strategy for the fast-food industry.
What’s in a Name? It all starts with a name. Just as each of us has a name at the core of our individual sense of identity, so brands have names as the basis of their visual and verbal identities. Specific methodology tests and validates naming choices.
Conjoint Presentation – Energy Drinks indicates the power of pricing within the consumer consideration trade-off considerations.
The Discrete Choice – Specialty Cracker Market simulates market share and revenue for a newly introduced product and its competitors.
Using a Grange-Gabor Price Model with Price Elasticity, respondents are asked to complete a survey where they are asked to say if they would buy a product at a particular price. The price is changed and respondents again say if they would buy or not.
TURF Analysis is an acronym for “Total Unduplicated Reach and Frequency”, is a type of statistical analysis used for providing estimates of media or market potential and devising optimal ways how to use it given the limited resources.
After creating an add-value presentation with existing multi-wave data, Multivariate Solutions presented Mining Traffic Opportunities jointly with McCann-Erickson, New York.
Multivariate Solutions provides detailed food service and restaurant industry market research with viable, actionable multivariate techniques, visuals, and reports.
In addition to market-based surveys, we feature a series of survey instruments that are particularly useful in developing brand strategy, including concept tests, customer satisfaction, retail optimization, and consumer product and restaurant branding strategy.
