Industry Resources and Product Information

Case Study

United States Beef

Background

US Beef is Arby’s largest franchisee, opening its first Arby’s restaurant in Tulsa, Oklahoma in 1969. Today, it has over 360 Arby’s restaurants and is listed as one of the country’s top twenty multi-unit franchisee groups in the country. In January 2016, US Beef signed an aggressive development plan with its franchisor, Arby’s Restaurant Group (ARG) to open 70 new Arby’s restaurants between 2016 – 2022, expanding their footprint significantly, with heavy expansion in the Colorado market. By 2022, US Beef will have more than 400 restaurants.

Challenges

It’s not uncommon for franchisees to rely on models developed for their corporate partners – but US Beef is no common franchisee. As one of the largest franchisees in the United States, US Beef wanted to be masters of their own destiny and develop market optimization, sales forecasting and cannibalization models specifically designed with their growth plans in mind.

Talk to us about how Tango can help your franchisees
take matters into their own hands to develop market plans.

Request A Demo

As one of the largest franchisees in the US, United States Beef Corp wanted custom-built market optimization and sales forecasting – so they partnered with Tango.

Solution

US Beef chose Tango to help support their growth, given Tango’s leadership position in Site Modeling as well as the company’s extensive experience in the QSR arena having built models for Dunkin Brands, Burger King, Dairy Queen Grill & Chill and Papa Murphy’s Pizza.

In addition, US Beef leveraged Tango’s data partnership with UberMedia, which provides the industry’s most highly precise customer data. UberMedia’s ability to track mobile data points in relation to stores gives companies like US Beef the customer and competitive data they require and eliminates the often-burdensome effort and cost associated with customer surveying. When this data is combined with Tango’s sophisticated predictive analytics capabilities, retailers can pinpoint where a customer visited immediately before or after patronizing a particular location, and therefore decipher the shopping generators.