COVID-19 sped up the process in many cases.
When COVID-19 brought the restaurant industry to its knees in February 2020, an interesting phenomenon occurred; everyone from hometown eateries to major multi-unit brands temporarily offered takeout and delivery to survive. Meanwhile, companies with pre-established off-premises systems (i.e. Chipotle), enjoyed increased revenues.
Considering the U.S. trend to shop from home, it makes perfect sense that online food ordering would catch on someday. COVID-19 simply sped up the process. In fact, SiteZeus’ CEO, Hannibal Baldwin, commented that, “this pandemic has taken a decade long consumer behavior transition and radically compressed it into a matter of weeks.”
When states reopen for business, we can still expect 30 percent of restaurant revenue to come from off-premises sales channels—almost double that of 2019. As you adapt your business model to capitalize on this trend, chew on the following facts:
- 70 percent of consumers would rather order directly from a restaurant, preferring that their money goes directly to the business, not a third-party service
- 60 percent of U.S. consumers order delivery or takeout once a week
- 59 percent of restaurant orders from millennials are takeout or delivery
- 45 percent of consumers say that offering mobile ordering or loyalty programs would encourage them to order online more often
- 34 percent of consumers spend at least $50 per order when ordering food online
- 33 percent of consumers are willing to pay a higher fee for faster delivery
- 31 percent of U.S. consumers use third-party delivery services at least twice weekly
- 20 percent of consumers spend more on off-premises orders than regular dine-in
- Third-party delivery services have increased restaurant sales volume by 10-20 percent
To maximize profit margins in off-premises sales, successful brands enact multifaceted strategies. From a functional perspective, they adopt new processes, evaluate online ordering services, develop travel-friendly menu offerings, and launch new consumer advertising campaigns. On the real estate front, they optimize select existing locations, and acquire promising new sites, in high-density markets.
Taking this fast, dynamic approach is only possible with an inhouse A.I.-powered predictive analytics platform. Real estate teams use this modern technology to produce accurate sales models, then confirm operational experiments for promising locations in hours. Before investing budget, they can ensure higher ROI in a new restaurant landscape.
Make better location-based decisions first in the post-pandemic world.
Liz Jennings-Orozco is the COO at SiteZeus, a cutting-edge predictive analytics platform based in Tampa, FL. She leads her teams to proactively investigate, anticipate and solve for their clients’ market planning needs. By delivering A.I.-powered growth and optimization models, SiteZeus is the go-to solution for multi-unit brands like Subway, Burger King, Inspire Brands and Checkers.