Skip navigation
waitress-cleaning-a-restaurant-table.gif Drazen Zigic/iStock/Getty Images Plus
In January, it was something as unglamorous as cleanliness that guests cared about more than anything else.

Restaurant consumers remain hyper-focused on cleanliness, safety in January as data shows little change in guest sentiment

Black Box Intelligence™ says January was the best month for restaurant same-store sales growth, traffic growth since the beginning of the pandemic

January was encouraging for the restaurant industry. With same-store sales growth of -4.9% and traffic growth of -12.2%, it was the best performance for restaurants since the beginning of the pandemic almost a year ago.

This is good news for an industry that struggled the last two months of 2020, as sales and traffic growth worsened compared to the COVID-era peak achieved in October. Likely contributing to some of the consumer pent-up demand for restaurant spending was a stimulus check distribution, a sense of optimism from turning the page on 2020 and the increased prospect of additional government aid soon.

There also continues to be resiliency from restaurant operators, and perhaps some goodwill from restaurant guests as well. Despite all the challenges being faced by the industry, guest sentiment as measured through online reviews and comments remains more positive than it was a year ago for the key attributes of the restaurant experience.

Guest sentiment based on restaurant food became 3.8 percentage points more positive in January year-over-year. However, less than 50% of all reviews centered around food were classified as positive during the month, while the industry had consistently been achieving over 50% positive food sentiment during the previous five months. As sales and traffic experienced an upswing in January, it may have become harder to keep up in terms of consistency and execution, especially considering the reduced staffing levels experienced by most in the industry.

The story is similar when analyzing restaurant service. The good news is that guests continue to rate their service experiences more positively than they did a year ago (before COVID had hit at a significant national level). Although over 50% of service-centered reviews were classified as positive during January, the month also experienced the lowest percentage of positive service mentions since July. Like food, an increased pace of business may also be causing pressures on the service model of restaurants.

Connecting the dots

Since the summer, an emerging theme in online social data related to restaurants was how ambiance net sentiment started to improve year-over-year. But it was not the usual components that come up when discussing restaurant ambiance that were driving this improvement in guest sentiment. Rather, it was something as unglamorous as cleanliness that guests cared about more than anything else. Given that a global pandemic had just hit our country it was obvious these were not normal times and guests were rightfully hyper-focused on their safety when visiting restaurants.

Nine months into the pandemic, guests have learned to live and adapt to their new conditions. Has their perception on restaurant ambiance changed? Have they gone back to focusing on other, more elevated aspects of the restaurant’s atmosphere when they discuss their restaurant experiences online?

Recent data from Black Box Guest Intelligence™ reveals that no, not much has changed. Guest sentiment based on restaurant ambiance became more positive by 7.5 percentage points year-over-year during the fourth quarter of 2020. But the two subcomponents of ambiance that saw the biggest improvements in net sentiment were cleanliness, which improved by 18.3 percentage points year-over-year, and the newly tracked “safety” category, which became 17.3 percentage points more positive during the period.

The good news is overall, operators keep doing a good job at implementing and executing on their policies to keep their restaurants clean and safe as we continue to face this health crisis. Instead of restaurants showing fatigue due to the length of the pandemic and safety practices slipping up, guests continue to be increasingly satisfied with what they see once they decide to dine out or order food for off-premise consumption. Cleanliness and safety continue to be at the forefront of their concerns, and for the most part restaurants are succeeding in meeting those expectations.

By comparison, ambiance sentiment based on restaurant appearance only improved 7.2 percentage points year-over-year during the fourth quarter, while ambiance based on restaurant décor declined 5.0 percentage points during the same period.

Top designated market areas

Among the top 25 largest markets in the country, Orlando, Fla., and Raleigh, N.C., were the leaders in restaurant guest satisfaction in January. Orlando was the metropolitan area with the most positive guests based on restaurant food, beverage and service. The most positive guests based on restaurant ambiance, value and intent to return were in Raleigh.

For major markets with the lowest restaurant guest sentiment during January we find some that have been among the most hurt by the sales downturn in recent months. Seattle was the major market with the biggest decline in same-store sales year-over-year in January, and it was also the DMA with the lowest guest sentiment based on restaurant food and intent to return during the same month. Detroit was the major market with the lowest guest sentiment based on restaurant service during January, while Seattle had the lowest net sentiment based on restaurant value. Both were among the five worst performing major markets in January based on same-store sales growth.

To further illustrate the relationship that exists between restaurant sales and guest sentiment at the local level, the top 10 major markets based on their same-store sales growth in January had guest sentiment 12.3 percentage points more positive based on restaurant food than the 10 markets with the worst sales growth results. The differences were also 12.3 percentage points based on ambiance sentiment and 9.6 points based on service. Especially in this environment, in which market performance is largely driven by how much restaurant operations continue to be disrupted due to health risks and associated restrictions, it is not surprising to discover the restaurant experience being delivered to guests in those places that are facing the most challenges is likely less than ideal and not what restaurant operators work hard to provide their guests.

The Restaurant Guest Satisfaction Snapshot is produced by data from Guest Intelligence™, a Black Box Intelligence Product™. Guest Intelligence is tracking over 190 brands to benchmark customer satisfaction and is the only online tool that integrates with operational performance data to validate the impact on financial performance. The algorithm determining ranking brands is based on sentiment and determined by Black Box Guest Intelligence. Brands included in this monthly snapshot must have a total of at least 250 mentions for the month. Restaurants must have a minimum number of units to be eligible as well. DMA rankings consider only the largest 25 areas.

Black Box Intelligence™ (formerly TDn2K) is the leading data and insights provider of workforce, guest, consumer and financial performance benchmarks for the hospitality industry. The Black Box Intelligence product suite is the industry standard for operators seeking to achieve best-in-class performance results. With the largest and most reliable set of real restaurant data in the marketplace, Black Box Intelligence currently tracks and analyzes nearly 300 brands, 2.4 million employees, 50,000 restaurant units and $76 billion in annual sales revenue. Black Box Intelligence is also the producer of the Global Best Practices Conference held annually in Dallas, Texas.

TAGS: Finance
Hide comments


  • Allowed HTML tags: <em> <strong> <blockquote> <br> <p>

Plain text

  • No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.