.svg)
While a state’s share of brick-and-mortar retail visits generally tracks with its share of the U.S. population, the chart below shows that the relationship is not perfectly proportional. Some states, such as Texas and Florida, generate a larger share of retail traffic than their population size alone would suggest, while others, such as California and New York, account for a smaller portion of visits relative to their population base.
Mapping each state’s share of retail visits to its share of the population reveals a clear geographic pattern: Across much of the Sun Belt, retail visits tend to over-index relative to population, while under-indexing is more common along the West Coast and in parts of the Northeast.
Several structural dynamics may help explain this regional divide. Migration into Sun Belt markets has been driven in part by lower costs of living, and once there, households may have more discretionary income relative to high-cost coastal markets – supporting more frequent in-person shopping trips. At the same time, consumer behavior differs across regions: in higher-cost coastal and Northeastern markets, shoppers may be more likely to consolidate trips or shift spending online, contributing to fewer retail visits per capita.
For retailers and CRE professionals, these patterns suggest that a data-driven expansion strategy should account not just for population growth, but for how and where consumers choose to shop across regions.
Sun Belt markets may offer outsized opportunities for physical retail expansion, as higher-than-expected foot traffic signals strong in-person engagement and potential demand for additional brick-and-mortar supply. Conversely, in coastal and Northeastern markets, where visits under-index and e-commerce adoption is higher, success may depend more on experiential retail, premium formats, or omnichannel integration rather than footprint growth alone.
For more data-driven retail and CRE insights, visit placer.ai/anchor.
After failing to attract a buyer for its retail operations following its February 2026 bankruptcy filing, Eddie Bauer LLC announced it would close all of its stores – though the Eddie Bauer brand will continue to be sold online and through wholesale partners. The company has pointed to headwinds such as inflation and tariff uncertainty as major factors contributing to the chapter 11 filing.
But Eddie Bauer isn’t the only brand facing these pressures – and even in today’s challenging macroeconomic environment, some apparel brands are thriving. So what other factors likely contributed to Eddie Bauer’s decline? We dove into the data to find out.
Unsurprisingly, visits to Eddie Bauer’s store fleet had been declining for some time. In 2024, year-over-year (YoY) traffic to Eddie Bauer fell 9.7% compared to just 4.1% for sportswear and athleisure brands and 3.7% for traditional apparel. And although the brand’s YoY visit gap narrowed in 2025, it remained significantly larger than that of the broader categories.
Alongside the company’s explanations, commentators have pointed to other challenges – including rising competition from athleisure brands, limited traction in Asian markets, and a disconnect between the company’s typical older shopper base and the younger demographic it sought to attract. Observers have also noted that the brand’s shift toward outlet malls, as it closed underperforming full-price locations, blurred its premium identity and conditioned consumers to expect deep discounts.
But location analytics also suggest another way in which Eddie Bauer’s drift towards outlet malls may have undermined the company’s brick-and-mortar performance – a mismatch between Eddie Bauer’s core audience and that of the typical outlet mall shopper.
As retail destinations that typically require a drive and center on discretionary purchases, outlet malls tend to attract visitors from areas with higher median household incomes than the nationwide average. But Eddie Bauer’s audience appears to be even more affluent – suggesting that the brand’s core customers may not have been typical bargain-hunting outlet shoppers.
At the same time, Eddie Bauer’s audience skews older and less family-oriented than that of outlet malls overall. In 2025, households belonging to ESRI ArcGIS Tapestry’s “Mature and Retired Living” segment group accounted for more than half of the brand’s captured market – significantly higher than both the nationwide average and the share seen in outlet mall trade areas.
Meanwhile, other key outlet audiences – such as families – were substantially underrepresented in Eddie Bauer’s trade areas. And despite attempts to woo Gen Z consumers, the brand attracted relatively fewer “Contemporary Households,” a younger-skewing group that includes singles, couples without children, and other non-family households.
Retail turnarounds are far from impossible – especially for legacy brands with strong recognition. But in a retail environment with little room for error, success hinges on getting every detail right. As Eddie Bauer’s experience shows, that means keeping locations, target audiences, and positioning tightly aligned, to deliver a clear, compelling value proposition.
For more data-driven retail analyses, follow Placer.ai/anchor.
Over the past several months since our last self-storage update, the industry has remained surprisingly resilient even as its primary fuel source – housing turnover – dried up. With Public Storage's recent acquisition of National Storage Affiliates, we dove into the data to understand what's driving the category's ongoing growth.
Coming out of the pandemic, demand for self-storage facilities surged due to increased migration trends and living space downsizing trends. According to Extra Space’s December 2025 Company Presentation, 12.6% of U.S. Households utilized self-storage facilities in 2023, up from below 10% before the pandemic. Our location intelligence reinforces this data, as monthly visitation trends to self-storage chains continued to grow in 2025, albeit at a slower pace than previous years (below).
Looking ahead to 2026, can this momentum continue? Home sales have improved modestly as interest rates inched downward, but the industry has had to pivot to generate growth the past few years. With that backdrop, we’ve identified four trends that will define the category in 2026.
With fewer people moving, operators had to cut prices to attract new tenants, with "street rates" declining in recent years. According to [many operators], "street rates" for a 10x10 unit dropped 10%–15% year-over-year in 2025. To compensate, major REITs (like Public Storage and Extra Space) raised rates on current tenants. Because these tenants were also locked into their housing situations, they proved incredibly "sticky" – accepting the price hikes rather than going through the hassle of moving their goods. Our data also shows an increase in the share of frequent visitors (2+ times a month) to self-storage units, reinforcing the idea that storage has become a more embedded, utility-like part of their daily lives – and further reducing their likelihood to churn even as rents rise.
If you can't move, you improve. As migration trends and housing turnover trends have slowed, there appears to be a shift in the rationale behind why customers were renting self-storage units. Instead of "moving storage," demand has shifted toward "lifestyle storage." As homeowners renovated to accommodate hybrid work setups or cleared out spare rooms for new family members, they needed temporary space. We see this with the percentage of remote workers visiting the largest self-storage chains, which has steadily increased the past several years. In turn, this helped put a floor under occupancy rates, which have stabilized in the low-90% range for REIT-managed storage properties and in the low-80% range across all operators.
The self-storage industry is seeing regional divergence. Sunbelt markets (Phoenix, Tampa, Atlanta), which saw massive migration and development booms during the pandemic, faced a supply hangover in 2025. With too many new facilities opening just as migration slowed, these markets saw the steepest drops in pricing compared to high-barrier markets in the Northeast.
However, this “saturation" could offer opportunities within this category. Recently, CubeSmart and CBRE Investment Management announced a $250 million joint venture to acquire assets in these very high-growth markets. Their first acquisition? A property in Phoenix – the poster child for recent oversupply. This move signals a critical shift for 2026: while development is slowing, institutional capital is waking up. Major players are using this period of soft pricing to acquire high-quality assets in the Sunbelt, betting that the long-term population growth will eventually absorb the current supply glut.
While standard drive-up units remain the bread and butter of the consumer self-storage industry, 2025 saw a continued shift toward climate-controlled solutions as a key revenue driver. New development throughout 2025 and into 2026 has skewed heavily toward 100% climate-controlled facilities. As consumers store higher-value items – such as electronics, wine, and collectibles – rather than just "garage overflow," they have proven willing to pay a higher premium for strict humidity and temperature regulation.
Simultaneously, investors tracking the self-storage sector have historically looked to industrial cold storage (refrigerated warehousing for food and pharma) as a parallel play, given both asset classes benefit from similar "last-mile" logistics tailwinds. However, the 2026 outlook for the industrial side has shifted significantly.
While the rise of online grocery and pharmaceutical delivery initially made refrigerated warehousing a defensive darling, the sector is now digesting a massive pandemic-era development boom. The U.S. industrial cold storage market is currently facing a notable supply glut. As industry leader Americold recently highlighted, "[O]ver the last few years, it's in excess of 15% of incremental capacity that's been added mainly by a lot of new market entrants whose business model is to get a little bit of scale and then try to transact."
This creates a split narrative for 2026: while consumer climate-controlled self-storage continues to capture premium yields, the industrial cold storage sector is entering a period of recalibration, forcing operators to focus on absorbing excess capacity and improving efficiency rather than breaking ground on new builds. We see this in visitation trends to cold-storage leaders Americold and Lineage, where visits continue to trend downward versus 2022 as these chains see an increase in new competitors.
As we head deeper into 2026, the industry is watching for the "thaw." If interest rates moderate and housing turnover picks up, street rates could rally quickly. But until then, the name of the game is consolidation and efficiency. Expect more REITs to follow CubeSmart’s lead, partnering with institutional capital to scoop up modern, climate-controlled assets while smaller operators struggle to compete in a low-volume environment.
For more data-driven CRE insights, visit placer.ai/anchor.
.avif)
Recent McDonald's menu additions such as the annual Shamrock Shake release and the Big Arch Burger pilot appear to have generated only a modest lift in McDonald’s foot traffic. Although visits increased 5.5% year-over-year during the week of February 16th 2026 – the week of the Shamrock Shake's launch – traffic the following week dipped -0.5%, suggesting the seasonal item generated only a short-lived bump rather than a sustained lift in visits. And the heavily publicized Big Arch generated just a 2.2% YoY traffic boost during its launch week of March 2nd to March 8th 2026 – although performance may strengthen as the item gains traction with consumers.
So while these LTOs did generate modest traffic lifts for the chain, the impact was relatively muted compared to some of last year’s stronger performers, such as McDonald’s Grinch Meals. These results may suggest that consumers are becoming increasingly selective in their spending – potentially making it more difficult for QSR chains to rely on LTOs alone to drive meaningful traffic momentum without additional value-oriented offerings.
While recent LTOs delivered only modest gains on their own, pairing LTOs with a clearer value proposition – such as the upcoming McValue 2.0 – may prove more effective, with limited-time items drawing attention and value-focused offerings encouraging repeat visits. In a price-sensitive environment, this dual strategy could drive a more sustainable traffic lift than product innovation or value promotions alone.
For more data-driven restaurant 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.
.avif)
Confidence in physical retail remains solid this year. More than 55% of survey respondents said they feel confident or very confident about brick-and-mortar performance in 2026, while only around 20% expressed concern.
This sentiment aligns with the broader performance of the sector. The chart below shows two consecutive years of modest but positive retail visit growth, with year-over-year (YoY) gains hovering around 1%. While that pace reflects a relatively stable – rather than booming – environment, it reinforces the idea that physical retail continues to demonstrate resilience despite macroeconomic uncertainty.
Still, the results also highlight an element of caution. Nearly half of respondents reported feeling neutral or concerned about the coming year, suggesting that while the foundation for brick-and-mortar retail remains strong, industry leaders are watching economic conditions closely.
At the same time, most respondents believe online retail will continue to grow faster than physical stores. Nearly 70% said they expect e-commerce to outpace brick-and-mortar growth over the next twelve months.
This outlook is hardly surprising given e-commerce’s smaller starting point and the ongoing digital expansion across the retail landscape. But crucially, the expectation of stronger online growth does not translate into pessimism about stores. Nearly a third of respondents said they were actually more bullish on physical retail than on e-commerce.
These findings suggest the industry has moved beyond the once-dominant narrative that e-commerce would inevitably replace physical retail. Instead, the data reflects a growing consensus that the two channels are increasingly complementary – a story also supported by visit data, which shows e-commerce activity growing faster than brick-and-mortar retail even as both continue to expand. The rise of online retail doesn’t reduce the necessity of physical stores – it pushes retailers, brands, and landlords alike to develop clearer strategies for how online and offline channels work together to create a seamless consumer journey that leverages the unique advantages of each.
When we asked professionals about the role agentic AI could play in retail in the coming years, our expectation was a resounding vote for the lift it would provide e-commerce. And indeed, 44% of respondents said they expect agentic AI to increase the share of online retail.
However, reflecting the growing recognition that retail’s future lies in more harmonized commerce, 34% of respondents said they believe agentic AI will lift all boats – increasing incremental growth across commerce more broadly.
This is a significant signal. It reinforces the idea that innovation, whether centered on physical or digital shopping, is most powerful when it creates value across the entire ecosystem. Rather than viewing technology as a zero-sum competition between channels, many retail leaders increasingly see tools like AI as ways to strengthen the overall shopping experience. And that perspective makes it more likely that retailers and brands will evaluate new technologies through a broader lens that prioritizes integrated commerce.
Understanding why consumers visit stores remains central to shaping the next phase of brick-and-mortar retail. When survey participants were asked to identify the key drivers of in-store visits, tactile experiences topped the list, with nearly 80% of respondents pointing to the ability to see, touch, and try products as among the biggest advantages of physical retail. Another 70% highlighted the enjoyment of the in-store shopping experience itself – emphasizing another element that is difficult to replicate online.
At the same time, respondents expressed skepticism about some of the strategies often cited as drivers of store traffic. Only 12% identified services such as buy-online-pickup-in-store (BOPIS) or in-store returns as major traffic drivers. This suggests that while these services are important components of omnichannel retail – reflected, for example, in a growing share of short in-store visits across industries – they may not yet be fully integrated into shopping journeys in ways that maximize their potential.
Perhaps most surprisingly, only 30% of respondents said stores excel at inspiring shoppers to discover new products. Yet this capability may represent one of brick-and-mortar retail’s greatest untapped opportunities. Physical environments are uniquely positioned to spark discovery through merchandising, layout, and experiential elements – factors that can expand baskets and deepen customer engagement.
Industry sentiment also varies significantly across retail segments, with sector-level expectations closely tracking last year’s visit performance. When asked whether they expected various categories to grow, remain stable, or decline over the next twelve months, respondents were more likely to express confidence in continued growth or stability for segments that experienced stronger YoY traffic trends in 2025.
Wholesale clubs, which saw visits rise 5.0% YoY in 2025, topped the list – with 97% of respondents expecting growth or stability in the months ahead, followed by grocery stores at 96%. The strength of both sectors reflects broader consumer trends, including suburban living, increased home cooking, and a heightened focus on value and wellness.
Still, respondents are significantly more bullish on wholesale clubs than on traditional grocery stores: Breaking down the growth / stability outlook down further, 61% of respondents expect clubs to see continued growth, compared with about 35% for grocery stores.
One reason may be the club model’s ability to capture large shopping baskets. While consumers today are increasingly willing to visit multiple stores to find the best value or selection, club retailers excel at capturing a significant share of the shopping list once they secure the visit. Grocery stores, on the other hand, attract frequent trips – but these may include fewer items as shoppers spread spending across multiple retailers. This dynamic may push grocers to focus more heavily on specialization, differentiated offerings, and higher value per visit.
Mass merchandisers such as Walmart and Target also received strong confidence scores, reflecting Walmart’s recent performance and expectations surrounding Target’s ongoing turnaround strategy. Meanwhile, discount and dollar stores – another category that has performed well recently – were widely expected to remain stable, with fewer respondents predicting continued rapid growth for the sector in the months ahead.
There are few sectors we love talking about more than malls. Several years ago, the prevailing expectation was of a perpetual decline for the sector as a whole. But the “death of the mall” narrative has quickly diminished – or at least evolved. In our survey, 54% of respondents expected continued success for Tier 1 malls, while 30% anticipated decline across all mall types. Only 16% expected Tier 2 malls to perform well, and less than half of those believed that success would extend further down the tier ladder.
This largely aligns with visit data, with top-tier indoor malls driving significant success in recent years – a trend that will likely be further reinforced by the continued shift of key audiences toward the suburbs.
However, the potential of Tier 2 malls remains an area worth watching. A major part of the success of top malls has been a shift away from heavy concentrations of apparel and beauty toward more diverse tenant mixes, along with a stronger emphasis on elevated dining and experiences. This has been a critical element for the highest-performing malls. But in an environment where space is increasingly at a premium – and where less space is being dedicated to apparel and beauty in these top locations – a significant opportunity may emerge for Tier 2 malls to provide a stage for retailers that can no longer find a home in the most sought-after centers.
The result is an opportunity for these properties to become the “big fish” in smaller ponds, particularly if they focus on building tenant mixes that complement major regional players rather than compete with them directly. Executed well, this strategy could reduce direct competition while creating more destinations where consumers want to spend time.
Industry sentiment, especially when combined with visit data, offers a valuable snapshot of how retail is likely to evolve in the year ahead. Together, they point to a sector defined by steady physical retail performance, growing integration between online and in-store channels, optimism around technologies like AI, and shifting opportunities across segments from wholesale clubs and grocery to evolving mall formats.
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.
Swig, the Utah-born drive-thru concept that helped popularize customizable dirty sodas, has evolved from a regional novelty into one of the fastest-growing beverage chains in the country. Known for mixing classic soft drinks with flavored syrups, creams, and fruit add-ins – alongside cookies and pretzel bites – the brand has expanded well beyond its Mountain West roots.
This expansion is fueled by significant online hype, with new locations often generating lines that wrap around the block and leave some customers waiting over an hour to try their first drink. And as the brand pushes deeper into the Sunbelt and beyond, location analytics offer a window into how this growth is impacting traffic trends and reshaping the brand's audience.
Unsurprisingly, the data shows that as Swig has expanded its footprint, it has successfully grown its overall traffic. In February 2026, visits to the chain were 137.9% higher than in February 2023 – and up 30.7% year-over-year compared to February 2025.
The data also shows the emergence of a clear seasonal pattern, with visits to Swig peaking each year in the summer as people seek out cool soda treats to beat the heat. Notably, the magnitude of the summer peak in 2025 was larger than ever before, suggesting that as the chain becomes more mainstream, its seasonal appeal may be increasing. But the dramatic increase in off-season visits as well shows that Swig is successfully building a loyal customer base that craves its offerings year-round.
This rapid growth is also leading to a meaningful broadening of Swig’s customer base. While the chain’s trade areas still remain affluent relative to the average U.S. household, the median household income (HHI) of its captured market is dropping as it reaches a more varied demographic.
And while "Wealthy Suburban Families" and "Upper Suburban Diverse Families" remain Swig’s largest audience segments, their total share of the market has edged down as engagement deepens across additional cohorts. This includes, notably, households in Blue Collar Suburbs who are now overindexed at 8.1% of Swig’s captured market, compared to a 6.9% nationwide baseline.
As Swig continues its transition from a niche favorite to a broad staple, it will inevitably face the challenges of sustained growth, such as maintaining unit-level productivity and operational consistency. However, for now, the data and the visible excitement surrounding new openings suggest that the dirty soda pioneer still has plenty of fizz left.
For more data-driven dining analyses 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.
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.
