SHOP Companies Facilitates Restaurant Client Expansion With Data-Driven Insights
SHOP Companies used Placer.ai’s trade area insights to help a restaurant chain expand into non-specialty centers. This strategy led to higher visit frequencies and validated a plan for greater store density.
The Challenge
A restaurant chain wanted to expand beyond their initial DFW metro locations. Situated in Asian shopping centers with large trade areas, the chain sought to validate a change in strategy for future growth: would opening locations in non-specialty shopping centers allow for greater expansion?
The Outcome
Using Placer's data, SHOP Companies identified a new site and showed that new stores in non-specialty centers have smaller trade areas but 17% higher visit frequencies without cannibalizing locations nearby. This validated the chain’s expansion plan to operate with a higher store density.
Placer's tools helped us analyze trade areas and identify optimal new locations for store expansion. To then see the site selection strategy show a 17% higher visit frequency at a new location while minimizing cannibalization is a testament that the data works. There’s a reason Placer is one of the first tabs I open on my computer every morning."
