Frequently Asked Questions Around Foodservice Custom Research

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Foodservice Custom Research

Are you a franchisor looking to expand your franchise operations, but don’t know where to start? As you scope out the ideal location for your next franchise location, you want to make sure it’s a success and will bring in revenue. One of the best ways to ensure this is through research that provides customized insights and a deeper understanding of what’s currently happening on the market in the region.

At Brizo, we provide restaurants, franchises, and other food business owners with the market intelligence needed to make informed decisions. Our comprehensive data fields of the food service industry, in-depth menu data, and restaurant tech coverage help you expand and explore your brand. Here in this article, we’ll look at the frequently asked questions around foodservice custom research.

What types of insights are available to research the foodservice market?

When it comes to analyzing and researching the foodservice market, many type of insights are available. These include the number of restaurants in any particular city or state, average check sizes, menu pricing, labor costs, customer demographics, product trends, and much more. Additionally, data about technology used by different establishments can be included, such as shop management and ordering systems, contactless payment solutions, inventory tracking systems, and customer loyalty programs.

What’s the difference between primary data and secondary data for foodservice custom research?

Primary data is information that is originally collected by researchers and is the most valuable source of data when researching the foodservice market. This type of data is usually collected from surveys, interviews, and experiments by companies or researchers in the foodservice industry.

Secondary data is information that has already been collected by someone else and is usually found in the form of public records and/or governmental data. This type of data is useful for doing basic research, as well as for creating comparison studies featuring a variety of restaurants in the same area.

What’s the best way to use foodservice custom research?

Foodservice custom research is useful for sales prospecting, generating marketing and sales insights, streamlining production innovation to expand your brand, and enriching your systems with comprehensive market insights. Additionally, the data and insights can be utilized to create targeted campaigns to potential customers in particular areas, as well as to assess the competitive landscape in any particular region.

Which industries benefit the most from foodservice custom research?

Foodservice custom research has several applications for various industries, such as: restaurants, catering, food delivery services, quick-service restaurants (QSR), fast-casual chains, bar & pub owners, c-stores, and food tech businesses.

How can foodservice custom research help in making better decisions?

Foodservice custom research helps you make data-informed decisions by providing detailed insights into your potential customers. You can use this data to gain a deeper understanding of the region’s food trends, local market dynamics, and customer preferences. This data can help you identify the ideal location for your franchise, as well as get an idea of what types of meals are popular in a particular area. Additionally, insights are available on other factors relevant to the foodservice industry, such as competitor pricing, labor costs, rising menu trends, impetus to use technology, and demographic insights.

What’s the best way to use foodservice custom research to attract, convert, and close leads?

Using data-led insights from foodservice custom research, you can engage potential customers and build trust among your existing customers. By accurately targeting the right demographic, you can create strategies to increase the reach of your franchise. Additionally, you can use the insights to create promotional campaigns and bundle offers to maximize customer engagement.