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Consumers continue to prioritize health and wellness, putting the fitness space in a strong position even as economic headwinds and value-seeking shape discretionary spending. With 2026 now underway – and the industry’s peak sign-up season in motion – we took a closer look at Planet Fitness, one of the category’s largest players, alongside broader fitness trends to put our finger on the pulse of fitness in 2026.
Through most of 2025, Planet Fitness – and the fitness category as a whole – maintained YoY monthly visit growth. February 2025 marked the lone dip in visits for both Planet Fitness and the broader category, likely driven by inclement weather that temporarily kept some consumers out of gyms.
And Planet Fitness’ growth outpaced the wider category nearly every month, with the chain's momentum likely reflecting continued expansion – part of its multi-year growth strategy. Planet Fitness’ average visits per location were also up YoY – aligned with overall category levels – suggesting new gyms are meeting incremental demand rather than redistributing existing traffic.
In January 2026, Planet Fitness continued to experience visit growth, perhaps as New Year’s resolution-driven sign-ups helped lift traffic. Combined with the chain’s ongoing unit expansion, this dynamic could support continued gains as the brand moves further into 2026.
Planet Fitness’ recent gains may also reflect a broader shift within the fitness landscape toward low-priced membership models.
The chart below shows that since at least the start of 2024, visits to budget-friendly gym chains (monthly fees under $30) such as Planet Fitness have consistently outpaced those to mid-tier ($30-$60) and premium competitors ($60+).
But the divergence became more pronounced beginning in early 2025, when traffic growth of premium fitness chains fell off sharply while low-priced gyms continued to see visits accelerate. In a retail environment defined by heightened price sensitivity and value-seeking, lower-cost memberships appear to be resonating with consumers looking to manage discretionary spending while higher-cost concepts face mounting pressure.
Moreover, once a gym membership is paid for, price-conscious consumers could be leaning more heavily into fitness visits as a way to spend time outside the home without opening their wallets – especially as other “going out” activities have become more expensive.
As the fitness industry moves through the early months of 2026, one of the most telling indicators to watch is visitor frequency. During the peak sign-up season, this metric offers an early read on member engagement – and on whether new joiners are building habits that support longer-term retention.
In January 2026, visitor frequency to Planet Fitness held steady, even as several other analyzed gym chains saw slight declines. The dip elsewhere may be partly attributable to Storm Fern, which likely disrupted routines and temporarily curtailed gym visits across affected regions. Against that backdrop, Planet Fitness’ stable frequency stands out as a relative bright spot.
Still, with resolution-driven sign-ups typically extending through much of Q1, it may be too early to draw firm conclusions about full-year performance. As weather-related effects fade and new members settle into routines, frequency trends over the coming months should offer clearer insight into how the category – and Planet Fitness in particular – is positioned for the rest of 2026.
Planet Fitness’ ability to grow visits, sustain per-location demand, and hold visitor frequency steady early in 2026 suggests the brand is benefiting from both internal strategy and favorable category-level tailwinds. While it remains early in the year, the underlying trends indicate that low-cost fitness models, and Planet Fitness in particular, are well-positioned as consumers prioritize cost-effective ways to stay active.
Which gyms will grow in 2026? Visit Placer.ai/anchor to find out.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
Super Bowl LX kicked off on Sunday, February 8th at Levi’s Stadium in Santa Clara, but celebrations across the Bay Area – from fan festivals and concerts to immersive cultural activations – began well before game day.
An AI-powered analysis of two marquee Super Bowl week events – the Ferry Building Projection Show and Chris Stapleton’s concert at the Bill Graham Civic Auditorium – highlights the role pre-game attractions played in extending the championship into a multi-day driver of regional foot traffic.
Between February 5th and 7th – the three nights leading up to the Super Bowl – San Francisco’s iconic Ferry Building became the canvas for a large-scale projection show celebrating 60 years of Super Bowl history. Comparing evening visits during the installation to the nightly average since January 1st, 2025 highlights the magnitude of the crowds drawn downtown for the spectacle.
The Ferry Building is no stranger to major surges in visitation tied to visual events. On July 4th, 2025, visits to the area were 217.5% above the daily average as fireworks lit up the Bay, while New Year’s Eve drove an even larger spike of 336.9%. Other recent activations – including a drone light show on October 8th and the multi-day “Let’s Glow SF” installation from December 5th to 14th – also generated noticeable visit increases.
But, the pre-Super Bowl Projection Show stood apart. Evening visits to the Ferry Building spiked by 141.6% on the first night of the installation and by 265.7% on the second. On the eve of the Super Bowl, February 7th, visits surged 479.1% above the nightly average, surpassing every other evening visit peak observed over the previous twelve months. This shows that the event was not only visually compelling, but also exceptionally effective at drawing crowds into the city core during Super Bowl week.
While the Ferry Building Projection Show was a major draw in its own right, many attendees treated it as just one stop on a broader evening itinerary.
Location intelligence shows that 18.2% of visitors to the projection show also made an evening visit to Moscone Center, home of the Super Bowl LX Experience between February 3rd and 7th. Other popular destinations included Pier 39, Ghirardelli Square, and the Fillmore Shopping District – all well-established tourist and retail corridors.
Regional indoor shopping centers also benefited from an influx of visitors. Serramonte Center and Stonestown Galleria ranked among the more common evening stops for projection show attendees, a pattern that could suggest travelers sought warm, indoor environments for dining and shopping after spending time along the waterfront.
Taken together, the data indicates that Super Bowl-themed activations drove visit spikes while generating spillover benefits for a diverse mix of retail, dining, and entertainment destinations across the Bay Area.
Among Super Bowl week’s most anticipated and in-demand ticketed events was Chris Stapleton’s concert at the Bill Graham Civic Auditorium on February 7th.
With limited ticket availability and a premium price-tag, the concert drew a notably affluent audience. On the day of the show, households classified as “Ultra Wealthy Families” accounted for 45.5% of the venue’s captured market, compared to 23.5% across the prior twelve months. Similarly, households earning more than $175K represented 46.5% of the venue’s captured market on concert day, well above the 34.9% average observed over the previous year. These shifts demonstrate the robust demand for exclusive Super Bowl week experiences among higher-income music fans.
But affluence alone only tells part of the story. Using location intelligence to examine visitor journeys offers clearer insight into the concert’s audience – whether it skewed local or was bolstered by visiting Super Bowl guests.
Trade area analysis reveals that 36.6% of visitors to the Bill Graham Civic Auditorium on the day of the show traveled between 10 and 30 miles – a higher share than usual for the venue, indicating stronger representation from the extended Bay Area.
At the same time, the event also drew a meaningful influx of long-distance travelers. Visitors coming from more than 250 miles away accounted for 12.9% of concertgoers on February 7th, up from 8.0% over the previous twelve months. This increase suggests that many Super Bowl tourists incorporated the high-profile live show into their itineraries, reinforcing the role of major concerts as drivers of valuable traffic during destination sporting events.
For civic leaders, major activations like these highlight how strategic programming can amplify the regional impact of tentpole sporting events – generating surges in visitation and meaningful spillover to retail corridors, entertainment districts, and shopping centers.
For more data-driven civic insights, visit placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
Wingstop closed out Q4 2025 with soft same-store traffic but a clearly defined strategic trajectory. While same-store visits remained under pressure, performance in Dallas – the brand’s most mature market – suggests that improvements in operational efficiency could play a central role in unlocking Wingstop’s next phase of growth.
Wingstop continued to expand its physical footprint in Q4 2025, driving total chain-wide traffic up 1.0% year over year (YoY) for the quarter and 4.5% for 2025 as a whole. At the same time, same-store traffic remained soft, extending a pattern that persisted throughout the second half of the year.
Some of that pressure reflects a challenging baseline comparison. Wingstop is lapping an unusually strong 2024, when domestic same-store sales surged nearly 20% YoY – setting a high bar for subsequent growth. The decline in same-store visits also aligns with the brand’s deliberate shift toward off-premise occasions: By Q3 2025, 72.8% of Wingstop’s sales were digital, underscoring the brand’s evolution into a tech-led, delivery-forward concept.
Still, looking more closely at Wingstop’s Dallas, TX market – home to the majority of its company-owned restaurants – offers a compelling signal for how the brand can reverse recent traffic trends. In 2025 earnings calls, management repeatedly pointed to Dallas as a top performer, attributing its resilience to the early integration of the chain’s AI-powered Smart Kitchen platform.
Piloted in Dallas before its nationwide rollout in late 2025, the AI-powered system is designed to optimize throughput and accuracy to deliver a more consistent pickup experience. And location analytics appear to support management’s view: In Q4 2025, 44.5% of Wingstop visits in the Dallas DMA lasted under ten minutes, compared to 40.8% nationwide.
Comparing YoY performance for shorter and longer visits to Wingstop – both in Dallas and nationwide – further highlights the growing importance of speed of service. In Q4 2025, visits lasting under ten minutes increased YoY on a per-location basis nationwide, with even stronger gains in Dallas, while longer visits continued to lag.
Crucially, although Dallas was not immune to the broader pressures weighing on longer visits, its YoY decline was notably less severe than the national trend. This divergence suggests that, beyond reducing wait times, the faster and more accurate service enabled by the Smart Kitchen platform may be contributing to a stronger overall visitor experience.
Location analytics suggest that operational improvements and faster service are beginning to translate into stronger traffic for Wingstop. And with the chain’s new loyalty platform set to launch nationwide later this year the brand may be poised for renewed same-store momentum.
For more data-driven dining insights, follow Placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
The return to office was put to the test last month as a slew of new RTO mandates took effect – coinciding with the late-January arrival of Winter Storm Fern. With policies pulling in one direction and weather disruptions pulling in the other, how were offices impacted on the ground?
January 2026 delivered a reminder that return-to-office progress is anything but linear – but it is still gaining ground. Despite Winter Storm Fern disrupting travel and commutes across large parts of the country toward the end of the month, office attendance continued its gradual recovery. Visits to the Nationwide Office Index were 38.3% below January 2019 levels, a modest improvement from January 2025, when a Polar Vortex similarly inhibited commutes.
And while total monthly visits came in slightly below January 2024 levels, adjusting for the number of working days reveals a more encouraging picture. On a per-working-day basis, January 2026 was the busiest in-office January since COVID – no small feat in a month when ice and snow covered large swaths of the contiguous U.S. for several days. The fact that offices were generally fuller than in prior Januaries, even amid widespread disruptions, points to a robust underlying RTO trajectory.
Fern’s influence becomes clearer, however, when zooming in on individual metros. Cities that avoided the worst of the storm generally posted stronger year-over-year (YoY) gains, while heavily impacted markets saw flatter or negative results. Miami, for example, continued to record YoY increases, while New York City – hit hard by Fern – saw visits edge down 0.3% YoY.
Last year’s winter conditions also played a meaningful role in YoY comparisons. Both Dallas and Houston were affected by Fern this January, though Dallas bore the brunt of the storm, with snow, ice, travel disruptions, and flight cancellations contributing to a 6.7% YoY drop in office visits. Houston, by contrast, experienced more limited disruption in January 2026 and posted a YoY increase – in part because it was lapping the January 2025 Gulf Coast Blizzard, which saw rare snow accumulations effectively shut the city down. In other words, Houston’s biggest weather-related disruption occurred last winter, while Dallas faced a more acute shock this year.
Washington, D.C.’s 3.2% YoY uptick and Atlanta’s 9.1% gain similarly reflect comparisons to January 2025, when both markets were hampered by extreme winter weather. But these rebounds also point to underlying recovery momentum – especially for Atlanta, which, despite being impacted by Fern, ranked third among the analyzed cities for post-pandemic office recovery.
Meanwhile, West Coast markets that were largely spared severe winter conditions posted the strongest year-over-year gains. Los Angeles and San Francisco led the pack, with YoY increases of 15.6% and 10.9%, respectively.
In today’s hybrid workplace, weather disruptions have become an increasingly accepted reason to skip the commute and work from home. And as a result, January – one of the most weather-prone months of the year – has emerged as a softer period for office attendance, regardless of broader RTO momentum.
Still, when adjusting for the number of working days, office visits this January marked a meaningful improvement over last year – further evidence that return-to-office progress continues to move steadily forward.
For more data-driven office recovery analyses, visit Placer.ai/anchor.
The fast casual space has become an increasingly competitive battleground for share-of-stomach as price-sensitive consumers trade down to lower-cost food channels. Against this backdrop, CAVA and sweetgreen offer a timely case study in resilience. Both brands continue to expand their footprints and diversify their audiences while leaning on loyalty programs and menu innovation to sustain growth during a volatile period for the dining sector. Using AI-powered location analytics, we uncover how macroeconomic pressures have shaped foot traffic trends to both chains and explore the strategies helping to keep them on a positive growth trajectory.
CAVA and sweetgreen continue to pursue aggressive expansion strategies, contributing to the overall visit growth of both brands. But while CAVA showed relative stability in both overall visits and same-store performance in H2 2025, sweetgreen experienced softer year-over-year (YoY) visit growth and moderate same-store visit declines in most months – raising the possibility of emerging “bowl fatigue.”
In Q4 2025, CAVA posted 16.6% YoY visit growth, with loyalty program enhancements and a holiday campaign likely helping to sustain visits.
Sweetgreen’s 4.4% visit growth in Q4 2025 was moderate by comparison, although December stood out for delivering positive YoY visits and same-store visits. This boost may have been driven by the value-focused $10 Harvest Bowl promotion alongside continued adoption of the brand’s refreshed loyalty program.
For both chains, revamped loyalty programs and continued expansion may set the stage for growth in the year ahead.
Even as refreshed loyalty programs and expansion act as growth levers, both chains have recently called out a shared headwind – softer engagement among Gen Z and Millennial diners amid sustained financial pressure on younger consumers.
However, AI-powered captured market analysis combined with the Spatial.ai: PersonaLive dataset suggests early signs of renewed momentum. In Q4 2025, both chains saw an increased share of visitors from the “Young Urban Singles” segment – a cohort that skews heavily Gen Z and Millennial – compared to Q4 2024. And sweetgreen saw growth in its “Educated Urbanites” segment – another cohort that skews heavily Gen Z and Millennial, and which makes up a large share of the chain’s captured market. These shifts could indicate that both brands reclaimed some younger traffic toward the end of the year.
At the same time, both brands saw broader audience diversification within their captured markets. Sweetgreen increased its share of “Wealthy Suburban Families”, while CAVA saw gains among “Upper Suburban Diverse Families” and “Near-Urban Diverse Families”. This suggests that growth among older and more financially stable segments is likely helping to offset some of the pullback from younger diners.
And while some of CAVA and sweetgreen’s suburban and near-urban audience gains likely reflect both chains’ continued unit expansion beyond urban cores, the rise in young urban traffic indicates that strategic initiatives are resonating with traditional audiences. Menu innovation and tools that give diners greater control over nutritional inputs – particularly offerings aligned with protein-forward trends – may be helping to re-engage young urban diners.
As consumer budgets remain under pressure, CAVA and sweetgreen illustrate that sustaining momentum in today’s dining landscape requires a deliberate, multi-pronged strategy. Thoughtful real estate decisions can expand a brand’s consumer base while innovation and loyalty programs keep existing audiences engaged.
The broader industry takeaway is clear: brands that deepen relevance across multiple consumer segments may be best positioned to compete for share-of-stomach in the months ahead.
Which restaurant brands will succeed in 2026? Visit Placer.ai/anchor to find out.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
Malls started the year on a strong note, with year-over-year traffic increases across all three mall formats. Open-air shopping centers received the largest gains, with visits up 6.2% compared to January 2025. Indoor malls, which outperformed the other formats for much of 2025, also posted solid growth of 4.5% YoY – a notable result given their already strong performance last January. Even outlet malls, which struggled to maintain growth momentum for most of 2025, saw a 3.6% increase in visits – perhaps suggesting that consumers are entering 2026 more willing to return to discretionary shopping destinations after a cautious 2025.
A closer look at the data suggests that a meaningful share of last month’s mall traffic may have been driven by post-holiday retail returns. There is some evidence that return activity was higher this January than in January 2025, and the timing of visits supports this interpretation.
Mall traffic was heavily front-loaded to the first two weeks of the year – consistent with the post-holiday returns window – with visit growth already beginning to moderate during the third week of January. (The more pronounced decline in traffic observed in the final week of the month was likely driven by the impact of Winter Storm Fern, which weighed on visits across all mall formats).
Visit duration patterns further support the idea that increased returns activity drove much of January’s mall traffic surge – the largest gains were concentrated in short visits, with trips lasting 10 minutes or less increasing by double digits across all mall formats.
At the same time, the data also shows year-over-year growth in longer visits, indicating that higher-quality, more engaged mall trips increased in January 2026 as well. So while post-holiday returns clearly played a role in driving January foot traffic, the simultaneous growth in longer trips suggests that shoppers were also spending time browsing or making additional purchases.
As 2026 unfolds, this blend of efficiency and engagement will be a key dynamic to watch: consumers appear increasingly willing to re-enter physical retail spaces, but they remain intentional about how they shop. Mall formats that can seamlessly support quick, frictionless visits while also encouraging extended dwell time may be best positioned to capture both sides of evolving consumer behavior in the year ahead.
For more data-driven retail insights, visit placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
Sports leagues like the NBA, NFL, and MLB boast billion-dollar revenues – and the venues where these games unfold hold significant commercial potential in their own rights. Many stadiums host concerts and other shows in addition to regularly held sporting matches and can accommodate tens of thousands of spectators at once – creating massive retail, dining, and advertisement opportunities.
This white paper analyzes location intelligence metrics for some of the biggest stadiums across the country to reveal the commercial potential of these venues beyond simple ticketing revenue. Where do visitors of various stadiums like to shop? Do specific sporting and cultural events impact the nearby restaurant scene differently? How can stadium operators, local businesses, and advertisers tailor their offerings to a stadium’s particular audience and make the most of the stadium and the space throughout the year?
We take a closer look below.
The three major sports leagues – the National Basketball League (NBA), Major League Baseball (MLB), and the National Football League (NFL) – play at different points of the year, and the number of games each league holds during the season also varies.
MLB leads in game frequency, with each team playing 162 games during the regular season, which runs approximately from April through September. Basketball season is also around six months – roughly from mid-October to mid-April – but each NBA team plays only 82 games a season. And the NFL has both the shortest season – 18 weeks running from early September to early January (with the pre-season starting in August) – and the fewest number of matches per team. Understanding the monthly visitation patterns for the various types of stadiums can help advertisers, stadium operators, and other stakeholders ensure that they are leveraging the full potential of the venue throughout the year.
Unsurprisingly, the sports arenas serving the different leagues see visit spikes during their leagues’ respective season. But comparing visit numbers throughout the year to the average monthly visit numbers for each category in 2023 reveals that the relative visit increases and decreases during the on- and off-season vary for each type of stadium.
MLB stadiums display the steadiest visit strength during the on-season – perhaps due to MLB’s packed game schedule. MLB tickets also tend to be relatively affordable compared to tickets to pro football or basketball matches, which may also contribute to MLB’s consistently strong visit numbers throughout the season. During the MLB off-season, baseball fields – which tend to be uncovered – are relatively empty.
The seasonal visit spike to NBA arenas is less steady. The beginning and end of the season see strong peaks, and visits slow down slightly during the mid-season months of January and February. Visits then drop during the off-season spring and summer, but the off-season visit dip is not as low as it is for MLB fields – perhaps because the NBA arenas’ indoor nature make them suitable locations for concerts and other non-basketball events.
Meanwhile, NFL stadiums see the least dramatic drop in visits during the NFL off-season, as these venues’ enormous size also make them the ideal location for concerts and other cultural events that draw large crowds. These arenas’ strong almost year-round visitation numbers mean that sponsors and advertisers looking to expand beyond sports fans to reach a diverse audience may have the most success with these venues.
Although MLB offers the most budget-friendly outing, combining STI: Popstats demographic metrics with trade area data reveals that MLB stadium visitors reside in higher-income areas when compared with visitors to NBA or NFL stadiums.
Baseball fans tend to be older than fans of the other sports, which could partially explain MLB stadium visitors’ higher household income (HHI). The combination of lower ticket prices, higher median HHI among fans, and many games per season offers baseball stadiums significant opportunities to engage effectively with their fan bases.
But while NBA and NFL stadium attendees may not come from as high-income areas as do MLB stadium visitors, fans of live basketball and football still reside in trade areas with a higher HHI compared to the nationwide median. So by leveraging stadium space, advertisers and other stakeholders can reach tens of thousands of relatively high-income consumers easily and effectively.
Sports fans are known to be passionate, engaged, and willing to spend money on their team – but stadium visitors also shop for non-sports related goods and services. Retailers and advertisers can draw on location analytics to uncover the consumer preferences of stadium visitors and tailor campaigns, sponsorships, and collaborations accordingly.
Visitation data to the top five most visited MLB stadiums during 2023 showed differences between the apparel and sporting goods shopping preferences of the various stadiums’ attendees. While 39.4% of visitors to Truist Park also visited DICK’s in 2023, only 30.8% of Yankee Stadium visitors stopped by the sporting goods retailer in the same period. Similarly, while 29.9% of visitors to Yankee Stadium frequented Kohl’s, that percentage jumped to 47.3% for Busch Stadium visitors.
Harnessing location intelligence to see the consumer preferences of a stadium’s visitor base can help retailers, stadium operators, and even team managers choose partnerships and merchandising agreements that will yield the most effective results.
Sports and snacks go hand in hand – what would a baseball game be without a hot dog or peanuts? But while every stadium likely provides a similar core of traditional game day eats, each venue also offers a unique set of dining options, both on- and off-premise. And by leveraging location analytics to gain visibility into stadium-goers dining habits, stadium operators and local food businesses can understand how to best serve each arena’s audience.
Mapping where stadium visitors dine before and after games can help stakeholders in the stadium industry reach more fans.
The chart below shows the share of visitors coming to a stadium from a dining venue (on the x-axis) or going to a dining venue after visiting the stadium (on the y-axis). The data reveals a correlation between pre-stadium dining and post-stadium dining – stadiums where many guests visit dining venues before the stadium also tend to have a large share of guests going to dining venues after the event. For example, the AT&T Stadium in Arlington, Texas, saw large shares of visitors grabbing a bite to eat on their journey to or from the stadium, while the M&T Bank Stadium in Baltimore, Maryland saw low rates of pre- and post stadium dining engagement.
These trends present opportunities for both local businesses and stadium stakeholders. For example, venues with high dining engagement can explore partnerships with local restaurants, while those with lower rates can build out their in-house dining options for hungry sports fans.
Stadiums looking to enhance their food offerings – or local entrepreneurs thinking of opening a restaurant near a stadium – can also get inspired by stadium visitors’ dining preferences. For example, psychographic data taken from the Spatial.ai: FollowGraph dataset reveals that visitors to MetLife Stadium in East Rutherford, New Jersey have a much stronger preference for Asian cuisine compared to New Jersey residents overall. With that knowledge, the stadium can enhance the visitor experience by expanding its Asian food offerings.
On the other hand, MetLife Stadium goers seem much less partial to Brewery fare than average New Jerseyans, so the stadium operators and restaurateurs may want to avoid offering too many Brewery-themed dining options. Stadium stakeholders can reserve the craft beers for Caesars Stadium, M&T Bank Stadium, and Soldier Field Stadiums, where visitors seem to enjoy artisanal brews more than the average resident in Louisiana, Maryland, and Illinois, respectively.
All of the stadiums analyzed exhibited unique visitor dining tastes, a reminder that no customer or fan base is alike. Aligning on- or off-site dining options with offerings that align with a given customer base’s preferences can improve overall visitor satisfaction and boost revenues.
Zooming in to look at consumer behavior around individual events reveals further variability in dining preferences even among visitors to the same stadium, with different types of events driving distinct dining behaviors.
State Farm Stadium in Glendale, Arizona, is home to the Arizona Cardinals. The stadium hosted the 2023 Super Bowl, but the NFL stadium also acts as a concert venue for acts ranging from Taylor Swift to Metallica. And location intelligence reveals that the dining preferences of stadium visitors vary based on the events held at the venue.
During the Super Bowl, sports bars such as Yard House and Buffalo Wild Wings saw the largest increase in visits compared to the chains’ daily average. A month later, attendees at Taylor Swift's concert gave fried-chicken leader Raising Cane’s a significant boost.
Local restaurants can leverage location analytics to see what types of events are popular with their visitor base and craft collaborations and advertising campaigns that resonate effectively with their patrons.
Sports stadiums and arenas are not just spaces for sports and music enthusiasts to gather; they also offer significant commercial opportunities for the surrounding communities. Stadium operators and local businesses can fine-tune their offerings by utilizing location analytics to better connect with their visitor bases and uncover new retail opportunities.
The dining industry showcased its agility over the past couple of years as it rapidly adapted to shifts in consumer preference brought on by COVID and rising prices. And with a new year around the corner, the pace of change shows no signs of slowing down.
This white paper harnesses location analytics, including visitation patterns, demographic data, and psychographic insights, to explore the trends that will shape the dining space in 2024. Which dining segments are likely to pull ahead of the pack? How are chains responding to changes in visitor behavior? And where are brands driving dining foot traffic by taking advantage of a new advertising possibility? Read on to find out how dining leaders can tap into emerging trends to stay ahead of the competition in 2024.
Comparing quarterly visits in 2023 and 2022 highlights the impact of the ongoing economic headwinds on the dining industry. The year started off strong, with year-over-year (YoY) dining visits up overall in Q1 2023 – perhaps aided by the comparison to an Omicron-impacted muted Q1 2022. And while overall dining growth stalled in Q2 2023, several segments – including QSR, Fast Casual, and Coffee – continued posting YoY visit increases, likely bolstered by consumers trading down from pricier full-service concepts.
Foot traffic slowed significantly in Q3 2023 as inflation and tighter consumer budgets constrained discretionary spending. Overall dining visits fell 2.4% YoY, and full-service restaurants – with their relatively high price point compared to other dining segments – seemed to be particularly impacted by the wider economic outlook. But the data also revealed some bright spots: Fast Casual still succeeded in maintaining positive YoY visit numbers and Coffee saw its Q3 visit grow an impressive 5.4% YoY. As the return to office continues, a pre-work coffee run or lunchtime foray to a fast-casual chain may continue propelling the two segments forward.
Restaurant visitation patterns have evolved over the past few years. Although an 8 PM seating was once the most coveted slot at fine-dining restaurants, recent visitation data suggests that sitting down to dinner earlier is rising in popularity.
But among the QSR segment, the opposite trend is emerging, with late-night visits rising. Analyzing hourly foot traffic to several major QSR chains reveals that the share of visits between 9 PM and 12 AM increased significantly between Q3 2019 and Q3 2023. Even Taco Bell – already known for its popularity among the late-night crowd – saw a substantial increase in late-night visits YoY – from 15.4% to 20.3%.
Who is driving the late night visit surge? One reason restaurants have been expanding their opening hours is to capture more Gen-Z diners, who tend to seek out nighttime dining options. But location intelligence reveals that younger millennials are also taking advantage of the later QSR closing times.
An analysis of the captured market for trade areas of top locations within one of Taco Bell’s major markets – the Chicago-Naperville-Elgin, IL-IN-WI Metropolitan area – reveals a year-over-four-year (Yo4Y) increase in “Singles & Starters.” The “Singles & Starters” segment is defined by Experian: Mosaic as young singles and starter families living in cities who are typically between 25 and 30 years old. As consumers continue to prioritize experiential entertainment and going out with friends, late-night dining may continue to see increased interest from young city-dwellers.
Millennials and Gen-Z consumers aren’t only heading to their favorite fast food joint for a late-night bite – these audience segments are also helping drive visits on the weekends. Smoothie King is one chain feeling the benefits of young, health-conscious consumers.
The chain, which opened in New Orleans, LA, in 1973 as a health food store, has since grown to over 1,100 locations nationwide and is currently expanding, focusing on the Dallas-Fort Worth CBSA. The area’s Smoothie King venues have seen strong visitation patterns, particularly on the weekends – weekend visits were up 3.4% YoY in Q3 2023. The smoothie brand’s trade areas in the greater Dallas region is also seeing a YoY increase in weekend visits from “Young Professionals” – defined by the Spatial.ai PersonaLive dataset as “well-educated young professionals starting their careers in white-collar or technical jobs.”
While some dining chains are appealing to the late-night or weekend crowd, others are driving visits by appealing to sports lovers. How have recent rule changes around student athletes changed the restaurant game, and how can college football teams drive business in their hometowns?
College sports have long been a major moneymaker, with top-tier teams raking in billions of dollars annually. And as of 2021, college athletes can enjoy a piece of the significant fan following of college sports thanks to the change in the NCAA’s Name, Image, and Likeness (NIL) rules, which now allows student athletes to sign endorsement deals.
Since then, multiple restaurants have jumped on the opportunity to partner with student athletes, some of whom have millions of followers on Instagram and TikTok. Chains like Chipotle, Sweetgreen, Slim Chickens, and Hooters have all signed college athletes to various brand deals.
How can brands ensure they partner with athletes their customers will want to engage with? Analyzing a chain’s audience by looking at the interests of residents in a given chain’s trade area can reveal which type of athlete will be the most attractive to each brand’s customer base. For example, data from Spatial.ai: Followgraph provides insight into the social media activity of consumers in a given trade area and can highlight desirable partnerships.
Examining the trade areas of Chipotle, Sweetgreen, Slim Chickens, and Hooters, for instance, reveals that Sweetgreen’s visitors tended to have the largest share of Women’s Soccer followers. Conversely, Sweetgreen’s trade area had lower-than-average shares of College Football Fans or College Basketball Fans, while residents of the trade areas of the other three chains showed greater-than-average interest in these sports. Leveraging location intelligence can help companies choose brand deals that their customers resonate with and find the ideal athletes to represent the chain.
Finding the right college athlete partnership is one way for dining brands to appeal to college sports enthusiasts. But dining chains and venues located near major college stadiums also benefit from the popularity of their local team by enjoying a major game day visit boost.
One of the country’s most popular college football teams, the Ohio State Buckeyes, can draw millions of TV viewers, and its stadium has a capacity of 102,780 – one of the largest stadiums in the country. And while tailgating is a popular activity for Buckeyes fans, nearby restaurants are some of the biggest beneficiaries of the college football craze. Panera experienced a 235.3% increase on game days as compared to a typical day, Domino’s Pizza visits grew by 283.3%, and Tommy’s Pizza, a local pie shop, saw its visits jump by a whopping 600.9%.
This influx in diners also causes a major shift in game day visitor demographics, as revealed by changes in visitors at dining venues located near stadiums of two of the nation’s best college football teams – the Ohio State Buckeyes and Ole Miss Rebels. Based on Spatial.ai: Personalive data for the captured market of these dining venues, game day visitors tended to come from “Ultra Wealthy Families” when compared to visitors during a typical non-game day in September or October.
The analysis indicates that popular sporting events create a unique opportunity for restaurants near college stadiums to attract high-income customers game day after game day, year after year.
While some spend game day tailgating or visiting a college restaurant, others hold a viewing party – with a six-foot submarine. And the sub’s popularity extends beyond Superbowl Sundays. Sandwich chains including Jersey Mike’s, Firehouse Subs, Jimmy John’s, and Subway (recently purchased by the same company that owns Jimmy John’s) have seen sustained YoY increases in visits and visits per venue in the first three quarters of 2023.
Some of the growth to these chains may be related to their affordability, a draw at all times but especially during a period marked by consumer uncertainty and rising food costs. And subway leaders seem to be seizing the moment and striking while the iron is hot – Jersey Mike’s opened 350 stores in 2023 and still saw its YoY visits per venue grow by 6.6%. And Subway reported ten consecutive quarters of positive sales, a promising sign for its new owner.
The love for a healthy, affordable sandwich extends across all income levels, with all four chains seeing a range in their visitors' median household income (HHI). Out of the four chains analyzed, Jersey Mike’s – which has long prioritized a suburban, middle-income customer – had the highest trade area median household income of the four chains at $77.3K/year. Subway, known for its affordability, had the lowest, with $62.9K/year. The variance in median HHI combined with the strong foot traffic growth shows that when it comes to sandwiches, there’s something for everyone.
Persistent inflation and declining consumer sentiment may pose serious challenges for the dining space, but emerging trends are helping boost some restaurants. Customers seeking out a late-night bite drive visits to QSR chains, and health-conscious diners are boosting foot traffic to smoothie bars and sandwich shops. Meanwhile, sports sponsorships and game-day restaurant visits can provide a boost to dining businesses that take advantage of these opportunities.
“Retail media networks have turned retailers into ad moguls. That’s a huge change and nobody yet understands all the implications of it.”
Constantine von Hoffman, MARTECH
Companies operating consumer-facing brick-and-mortar venues traditionally relied on selling goods and services as their primary revenue stream. But recently, leading retailers such as Walmart and Target have begun to leverage their immense store fleet into a powerful advertising platform.
Online retailers have been tapping into the advertising power of their digital sites for years by relying on various automated tools to show third-party advertisements to relevant consumer segments. But now, retailers with a strong offline presence can also leverage physical marketing impressions and focus their campaigns while reaching consumers at the point of purchase. Retailers have long recognized the intent that drives a store visit, and understanding the full value of leveraging that visit to its full extent is an important new frontier.
Major retailers are continuing to see their physical visits outnumber their online ones.
And in spite of the gloomy predictions regarding the future of brick and mortar retail, major retailers are continuing to see their physical visits outnumber their online ones. Monthly numbers of visitors to Walmart and Target significantly outpace the brands’ online reach, according to web data from Similarweb. So although, up until recently, these brands have focused their media placements on their digital channels, it is becoming increasingly clear that these chains’ physical stores hold powerful – and currently untapped – advertising potential.
Online visitor data source: similarweb.com
And with the recent rise in digital advertising costs, retail media networks are becoming more attractive for companies looking to make the most of their ad budget. Retail media networks can also help brands reach rural communities, elderly Americans, and other consumer segments that are currently underserved by digital advertisers.
This white paper explores several retailers on the cutting edge of the retail media network revolution. Keep reading to find out how advertisers can use retail media networks to promote to hard-to-reach consumers, segment their ad spending, and optimize their campaigns.
Residents of rural areas use the internet less frequently, and have lower levels of technology ownership than their urban and suburban counterparts. As a result, companies that stick to digital advertising may have a harder time reaching rural consumers. Brick and mortar retailers popular in smaller markets can fill in the gaps and help brands promote their products and services to this hard-to-reach audience.
Brick and mortar retailers popular in smaller markets can help brands advertise to hard-to-reach audiences.
Dollar General saw significant success over the pandemic, with the current economic climate continuing to benefit the brand. Between January and August 2022, nationwide visits to Dollar General venues were 35.6% higher than they were between January and August 2019, while the number of visitors increased 25.4% in the same period.Visit numbers aggregate the visits to the chain’s various locations in a given period, while visitor numbers track the number of people who enter the brand’s stores.
The company has also been operating a media network since 2018. The Dollar General Media Network (DGMN) enables advertisers to reach Dollar General consumers across the company’s channels to build awareness both digitally and in physical spaces. Advertisers with DGMN can display in-store bollard, blade, and wipe stand signs, security pedestals, basket bottomers, and shelfAdz to deliver in-store messaging from parking lot to purchase. Recently, Dollar General announced that its ad platform was now working with 21 new advertising partners, including Unilever, General Mills, Hershey’s, and Colgate-Palmolive.
Embracing the Power of the Small Market
Advertising partners can leverage the DGMN to promote their goods and services to harder-to-reach consumers.
Dollar General has been serving rural residents for years, with the majority of the company’s stores located in communities with fewer than 20,00 residents. And while the brand is growing nationwide, Dollar General’s strength is particularly evident in small markets – which means that advertising partners can leverage the DGMN to promote their goods and services to harder-to-reach consumers.
Comparing year-over-three-year (Yo3Y) visit change to Dollar General stores in metropolitan and micropolitan core based statistical areas (CBSAs) highlights the company’s success in smaller markets. According to the United States Office of Management and Budget, metropolitan and micropolitan CBSAs have over and under 50,000 residents, respectively. Since January 2022, monthly Yo3Y visit growth to Dollar General venues in select Texas micropolitans has consistently outpaced foot traffic to nearby metropolitan areas. While the Sherman-Denison metro area saw August 2022 foot traffic hit a solid 24.5% increase over August 2019, the Gainesville, Texas micro area – around 35 miles east of Sherman – saw its foot traffic increase 54.5% in the same period.
Dollar General’s presence across a significant number of smaller markets means that advertising partners can use the growing DGMN to increase awareness and drive purchase consideration among these harder-to-reach consumers.
In the digital space, three tech giants – Alphabet (previously Google), Meta (previously Facebook), and Amazon – enjoy over 60% of the digital ad revenue in the United States. This means that companies are competing for impressions on a small number of platforms – and smaller brands geared at specific consumer segments may need to spend significant advertising budgets to outbid the larger players. Retail media networks create additional advertising platforms, and enable advertisers to diversify their ad spend, increase their (physical) impressions, focus on more specialized channels to better reach their audience, and potentially reach customers at their highest point of intent.
Retail media networks create additional advertising platforms and potentially reach customers at their highest point of intent.
Albertsons launched its retail media network, Albertsons Media Collective, in November 2021 with the goal of delivering “digitally native, shopper-centric and engaging branded content to the company’s ever-growing network of shoppers.” Currently, the grocer’s media network is primarily digital, but Albertsons’ head of retail media products Evan Hovorka recognizes the importance of leveraging in-store assets to deliver a unique advertising experience. The company is testing out smart carts that link with “Albertsons for U” loyalty program to display ads to shoppers – and Albertsons is likely to find more ways to reach in-store consumers as it continues to develop its retail media network.
The chain is also one of the most popular grocers nationwide. With the exception of March and April 2022, when inflation and high gas prices temporarily halted growth, the brand’s monthly visits and visitor numbers have consistently exceeded pre-pandemic levels. Monthly visits for Albertsons in August 2022 were up 5.7% and monthly visitors were up 5.4% on a Yo3Y basis. This means that advertisers with Albertsons can increase their reach and grow their physical ad impressions just by displaying their ads in Albertsons locations and tapping into the chain’s growing visitor base.
Looking beyond Albertsons' nationwide average foot traffic trends reveals some important regional differences. Between January and July 2022, visits to the brands increased 4.6% in Wyoming on a Yo3Y basis, while foot traffic to the brand’s locations in Oregon jumped 18.5% compared to January through July 2019. This means that a brand looking to reach consumers in Oregon can contract with Albertsons’ media network to show its ads to a fast-growing pool of visitors.
A larger visitor count translates to an increase in unique ad impressions, while more visits from fewer visitors can drive repeated exposures.
Diving deeper into the data reveals an additional layer of insight. Some states with only moderate visit growth are seeing a surge in visitor numbers, while other states are seeing a drop in visitor numbers but a rise in visits. A larger visitor count translates to an increase in unique ad impressions and more people exposed to the ads, while more visits from fewer visitors translates to more overall impressions that can drive repeated exposure among a smaller group of visitors. So advertisers can use segmented foot traffic data to decide where to focus their marketing depending on the goal of the campaign.
For example, Wyoming's moderate increase in visits hides a significant spike in visitors, which means that advertisers to Albertsons venues in Wyoming can get their impressions before a large number of different potential consumers. Meanwhile, Oregon's 18.5% increase in visits is the result of just a 9.4% increase in visitors – so Albertsons is cultivating an increasingly loyal following in the Beaver State, and the grocer’s advertising partners can expect that the same visitors will be exposed to their brand repeatedly.
So companies that want to increase unique ad impressions and build awareness can advertise to Albertsons customers in Wyoming, where their ads will be seen by a large number of new people. But in Oregon, companies may want to promote a campaign that focuses on moving Albertsons visitors through their funnel.
In order to accurately assess the ad distribution patterns in each location, brands operating retail media networks need to understand both visits and visitors trends in each region and for the chain as a whole.
Advertisers with retail media networks can use foot traffic data to refine their geographic audience by identifying the consumer preferences of a given brick-and-mortar brand on a store or city level.
In August 2020, CVS Pharmacy launched its media network, the CVS Media Exchange (cMx). The company estimates that 76% of U.S. consumers live within five miles of at least one store, and the cMx allows partners to tap into the chain’s reach by giving advertisers access to CVS’ online and offline channels, including in-store ads.
Although CVS has been closing locations recently, the brand is still one of the strongest players in the brick-and-mortar retail space. Its 2022 visit numbers have consistently exceeded pre-pandemic levels nationwide, and data from CVS locations in leading cities shows that its Yo3Y visits per venue and visitor numbers are even higher.
CVS’s nationally distributed fleet means that the brand’s locations in different regions attract distinct consumer bases.
CVS carries a varied product mix of daily essentials in addition to its healthcare offerings, so the brand attracts a wide range of consumer segments. And the chain’s nationally distributed store fleet means that CVS has locations in different regions that attract distinct consumer bases who do not all have the same lifestyle preferences. By using foot traffic data to understand the regional consumer preferences of CVS consumers beyond the store, advertising partners can refine their market and make the most of the cMx.
Different regions have different fitness cultures. Chains catering to health-conscious consumers can use retail media networks and foot traffic data to focus their efforts on areas where inhabitants exhibit a high demand for regular workouts.
Analyzing cross-visit data from CVS locations across five major urban centers in the U.S. shows that the percentage of those who also visited gyms or fitness studios varied significantly across each DMA. In the New York area, 62.7% of those who visited CVS in Q2 2022 also visited a fitness venue during that period, in contrast with only 38.0% of CVS visitors around Dallas-Ft. Worth, TX in the same period. This information can help advertising partners in the health and wellness space decide where to place their campaigns.
Looking at cross-visit data on a city-wide level can provide a sense of the consumer culture in each area, but advertisers that dive into foot traffic data for individual stores can refine their messaging even further.
On average, 43.8% of CVS visitors in the Chicago DMA also visited a gym in Q2 2022. But drilling down to the top CVS locations in the city reveals that the rate of cross-visits varies significantly from location to location. Both the E 53rd Street and W 103rd Street locations have a relatively high share of visitors who visit fitness locations – 52.5% and 49.2%, respectively. Meanwhile fitness cross-visits were at just 36.6% for the South Stony Island Avenue location. Advertisers promoting health and wellness related products and services may want to focus on the 103rd St. and 53rd St. CVS locations.
Diving into a customer’s behavior and preferences outside the store can help retail media network operators and advertising partners find the areas and locations best suited for each type of ad.
Cross-visit data is one way to identify consumer preferences beyond the physical store. Advertisers can also analyze digital preferences of offline visitors to focus their marketing on the most appropriate locations.
Advertisers can also analyze digital preferences of offline visitors to focus on the most appropriate locations.
Over the past couple of years, Macy’s has been finding ways to reinvent itself and optimize its store fleet – and foot traffic data indicates that the retailer's efforts are paying off. In the first half of 2022, Macy’s exceeded its H1 2021 overall visit and average visits per venue numbers and posted a positive year-over-year (YoY) visitor count. In Q2 2022, despite the wider economic challenges, Macy’s visitors, visits, and average visits per venue saw YoY increases of 3.4%, 4.0% and 9.9% increases.
Like CVS, Macy’s launched its media network in August 2020, and by February 2021 the Macy’s Media Network was already generating $35 million annually. In addition to advertising on the company’s digital channels, Macy’s also offers partners the use of in-store screen displays, package inserts, and the brand’s iconic billboard in New York City’s Herald Square.
Advertisers can optimize their advertising by analyzing the differences in consumer profiles between a chain’s various stores.
Advertisers that understand the differences in consumer profiles between a chain’s various stores can optimize their advertising efforts. While looking at variations in cross-visit trends is one way to identify interested brick-and-mortar consumers, diving into visitor’s digital behavior and online preferences can also provide valuable insights.
Tools such as Spatial.ai’s GeoWeb, which tracks online engagement with various trends and topics by neighborhood, can reveal how offline consumers behave online. An index score of 100 indicates that consumers in an area have an average interest in a given topic, while scores over (or under) 100 indicate that consumers are more (or less) interested in the topic when compared to the national average interest.
We used Spatial.ai’s GeoWeb tool to analyze the online behavior of consumers in the True Trade Areas (TTA) of five Macy’s locations in the Philadelphia, PA DMA – and found that residents of the different TTAs stores showed differing indexes. For example, the Macy’s in the King of Prussia Mall location showed a high index of 161 in “Men’s Business Clothes Shoppers,” while the Cottman Ave. location had an only slightly above average index of 102. This means that advertisers of men’s business apparel may see more results by focussing their advertising on visitors to the King of Prussia location.
Advertisers that use retail media networks do a lot more than just reach in-store shoppers. Stores exist in the physical world, so advertisers can also reach passers-by through physical venues’ windows, blade signs – or in the case of Macy’s, through its Herald Square Billboard. Here too, foot traffic data can reveal the consumer preferences of people walking by the sign.
We looked at the online behavior in the TTA around the traffic pin on the corner where the billboard is located (Broadway/6th Ave and 34th Street in New York) to understand which advertisers might benefit most from a billboard at that location. While the “Men’s Business Clothes Shoppers” category was over-indexed compared to the national average, as would be expected in midtown Manhattan, “Women’s Fashion Brand Shoppers” had an even higher index. “Gen Z Apparel Shoppers” were over-represented, but “Leather Good Shoppers” and ”Athleisure Shoppers” were under-represented. So a brand that carries both elegant wear and athleisure may want to display its less casual clothing lines on the billboard.
Understanding how consumers behave both on and offline can help retail media networks and advertising partners promote their campaigns most effectively.
To transform their physical store fleet into a media network, brands and companies need to analyze the reach of each venue. The same chain operating in multiple regions may be reaching different types of consumers in each area, or even in various neighborhoods of the same city. These distinct audiences may have contrasting products, brands, and shopping preferences.
Retailers that leverage their brick and mortar presence can transform the advertisement space as it exists today.
Retailers can also partner with advertising partners who wish to promote goods and services not carried by the retailer. For this to succeed, the retailer will need to analyze how consumers behave outside of its stores. Understanding what characterizes the overall behavior of consumers in each locations’ trade area will allow the retailer to reach a larger audience and truly compete with the digital giants. And by leveraging their brick and mortar presence, brick and mortar retail can transform the advertisement space as it exists today.
