Restaurants and Food Service
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.

Restaurant Articles

Michael Lieberman is quoted in an NBC New York news article about IHOP’s name change to promote its addition of burgers to the menu.

Discrete Choice – Big George Burger simulates market share and revenue for a newly introduced burger for our fictional fast-food chain, Bush Jr.’s. The model uses discrete choice logistic regression and tests price sensitivity. Email us to request a copy of the simulator.

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.

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.

Dual Usage Market Penetration Likelihood Simulator – A dual use simulator is a combination of discrete choice model where respondents are asked to choose one item from a list of four or five, generally with rotating prices. In addition, respondents are then asked, of the one choice they make, how likely would they be to purchase it. This extra inquiry not only allows the researcher to gauge price sensitivity, but also to determine market penetration by simply adding one more question per section. Email us to request a copy of the simulator.

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.

The article in Admap Magazine, Loyalty is the Big Enchilada, discusses how raising their Net Promoter Score can exponentially increase visit frequency and sales for restaurants and retail outlets.

tgif-150x150Grow Restaurant Dining Visits, in Admap Magazine, contrasts brand ratings with operational attributes to determine which factors are most important for increasing visits.

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.

Tacos in Tel Aviv, published in Quirk’s Marketing Research Review, demonstrates how a Monte Carlo simulation analyzed the primary survey research in a market forecast feasibility study about bringing a chain of upscale Mexican restaurants to Israel’s Silicon Valley.

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.

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.

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.