Released to mark the availability of dataplor’s new mobility product, these insights highlight how regional loyalty and location exclusivity drive fast-food preferences across the United States.
Foot Traffic Analysis from dataplor Highlights Trends Among America's Top Fast-Food Restaurants
dataplor, a leading provider of global location intelligence, has released a foot traffic analysis report showcasing regional and national trends in Americans’ fast-food preferences. The report coincides with the release of the company’s new mobility product, which combines extensive POI data with footfall counts to equip businesses with deeper intelligence and insights into consumer visits. The findings offer a unique view of customer behavior, highlighting how foot traffic trends can reveal the relationship between popularity, number of locations, and regional loyalty.
On the national level, the analysis found a disconnect between popularity and ubiquity. McDonald’s and Subway are the most likely to be found in states across the country. Yet Wendy’s was the most popular restaurant in terms of foot traffic, followed by Raising Cane’s. These preferences indicate that a greater presence doesn’t always translate to popularity. Similarly, regional favorites like In-n-Out often hold favor even with fewer locations. Wendy’s and McDonald’s were the only brands that appeared in the top five for both foot traffic and number of stores, cementing once again that localized loyalty can outweigh presence.
The locality factor remained steadfast when looking at regional patterns. In the West, In-N-Out Burger was ranked number one for foot traffic in five states, despite not making the top five for total number of stores in a single regional state. In the Northeast, Five Guys, which originated in Washington, D.C., and Jersey Mikes, founded on the Jersey Shore, ranked second and third in the region in terms of the number of times they appear in the top five for total number of stores in a given state, and Five Guys also came in third place for overall foot traffic distribution. Wisconsin-born Culver’s was a contender for both popularity and ubiquity in the Midwest, coming in second and fourth places, respectively.
“We look forward to seeing how businesses leverage our mobility product data to enhance their decision-making and tailor their offerings,” said dataplor CEO Geoff Michener. “The fast-food study is just a glimpse of how location intelligence can uncover valuable insights about consumer behaviors.”
Businesses can leverage this kind of mobility data to uncover actionable insights. From understanding consumer behavior to optimizing marketing strategies and identifying growth opportunities, location intelligence offers companies an edge against the competition. For more information about the study and dataplor’s mobility product, read dataplor’s latest blog post or visit www.dataplor.com.
About dataplor
dataplor is a leading provider of point-of-interest (POI) and mobility data that helps global enterprises grow abroad by mapping tough-to-reach markets with a privacy-first approach. As the majority of international location data is often inaccurate and quickly outdated, dataplor goes several steps beyond the industry standard, helping the world’s largest companies across technology, mapping, search, third-party logistics, consumer packaged goods (CPG), telecom, investing, real estate, and finance understand location intelligence about any commercial or physical location in real-time, fueling their expansion abroad.
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