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After the rollercoaster performance of the retail industry in 2025, the first quarter of 2026 would serve as a barometer for consumer sentiment, resilience and industry stability. In actuality, this past quarter has once again provided obstacles, including winter weather, geo political conflict and retail bankruptcies. However, even for discretionary categories, the outlook still remains positive amidst the uncertainty.
Foot traffic to major brick-and-mortar retail chains were up 1.5% year-over-year Q1 2026. And while some of that growth is due to somewhat easy comparisons, with discretionary industries stagnating over the past few years – especially in the first quarter of last year – the slight increase also suggests that some discretionary categories are beginning to regain traction. And while non-discretionary industries continue to outperform their general merchandise counterparts, there is still plenty to celebrate over the last three months.
The visitation trends this past quarter underscore that consumer resilience remains strong, as consumerism doesn’t take a backseat to economic uncertainty. All of the macro-economic trends point otherwise, with unemployment and layoffs rising, debt accumulating and the housing market cooling, but consumers are still shopping. Retail bifurcation continues, with value based offerings still driving much of the growth, but consumers in the U.S. can’t seem to talk themselves out of being influenced to buy.
Digging into some of the top trends and performances of the quarter, it is easier to see where consumers are putting their attention, and in turn how those categories highlight the shifts in consumer behavior.
One of the largest overall stories of the quarter was the intense winter weather that span across the majority of the country. Winter Storm Fern, which hit the eastern half of the U.S. during the last week of January, had a material impact on foot traffic across categories, in particular non-essential store trips. The week prior (January 19th) brought stock-ups and pre-emptive trips, while the following week brought temporarily shuttered stores and fewer trips in many states. While winter weather has always created disruptions for shoppers, this year felt particularly impactful with more store closures than in previous years.
In times of uncertainty, consumers crave hobbies and experiences that are celebratory and help them to feel good. Participating in or picking-up a new hobby gives consumers some agency and also allows them to connect to others in their communities or through social media. The power of the hobby began to show up on foot traffic in 2025, and the trend has only accelerated faster in the first quarter.
Michaels, Paper Source and Barnes & Noble have all grown traffic in the first quarter of this year, truly underscoring that there is still a place for discretionary spending with today’s consumer. These retailers have all succeeded in building a foundation for shoppers to see these visits as indispensable. This could be due in part to the experiences and services that these retailers offer alongside tangible products, such as stationary & invitations, author signings and readings, and framing service or classes, which help separate a visit from a simple transaction.
The consolidation of retail banners has also benefitted the major names in the hobby, gift and craft category, particularly in the case of Michaels. But, less competition in today’s retail industry doesn’t instantly signal success; these chains have had to define their reason to exist in a digital-first shopping world.
The home improvement category is another area that has reversed its 2025 trend in the first quarter. This category did benefit from favorable comparable periods, but its growth also reflects larger shifts amongst consumers.
Both Lowe’s & Home Depot posted growth in store visits in Q1 2026, a sign that traffic from professionals and do-it-yourself consumers are heading back into building and repair. This traffic increase is all the more impressive given the housing market's current uncertainty as sales slump amidst lower inventory and rising costs – which in some cases may push consumers to pull back on moving or upgrade plans.
It was anticipated that 2025 might bring about a replacement cycle for those who invested in their homes during the pandemic, whether through home improvement or decorating, but this prediction never fully materialized. Now, the positive traffic may indicate that some of that demand may have been delayed, shifting some of the consumption into 2026 as consumers are less bullish on the housing and job markets, and trying to improve what is currently in their possession.
Winter weather was also a factor in the growth for the major retailers, as consumers looked to prepare for storms in advance or outfit their homes with generators, snow removal equipment and other essentials. Looking at the week leading up to winter storm Fern, both major chains benefited from the increased stooking up.
Looking ahead to the second quarter, home improvement retail demand can be subject to volatility in the market. If geopolitical conflict continues and oil prices remain elevated, the cost of home materials could rise and cool the demand for the category once again.
One of the most watched categories as a barometer for discretionary demand has been apparel. It is a category that, in many ways, best exemplifies the current bifurcation of the retail industry based on consumer priorities. Value remains the north star of the category, while full-price chains in apparel, sporting goods and department stores struggle to find their place in the crowd. Even the luxury market has stalled over the last nine months, despite the resilience of higher-income households. Apparel continues to be the bellwether for demand.
Looking at the performance of the category in the first quarter, off-price was once again the winning sector, comping its strong performance last year. Even winter weather didn’t deter shoppers too much, as they looked to off-price chains for key items and winter gear. The frequency of visits to off-price retailers remains a key to their success; repeat visitation is higher for these chains, which helps to boost overall traffic.
Apparel chains and sporting goods retailers fared similarly, with slower traffic overall. Within these subcategories, shifting athleisure preference, value orientation and digital focus all play a role in the tepid performance. There are still some bright spots, with Gap Inc. and Victoria’s Secret improving their business.
A major headline early in the first quarter was the announced bankruptcy and restructuring of Saks Global. As part of the restructuring, the off-price based Saks Off Fifth banner has been shuttered as well as some full line Neiman Marcus and Saks Fifth Avenue locations.
The luxury market has not been immune to the shift in consumer behavior over the past year, and the first quarter of this year has shown a deceleration of traffic to luxury department stores, even despite the gains made last year from brands like Bloomingdale’s and Nordstrom. The stall in traffic to this category reverses much of what happened in 2025, and it will be interesting to see if shoppers return in the coming months.
Beauty, despite some small setbacks in early 2025, continues its dominance as the category to watch for growth. The category began to rebound in the middle of last year, and traffic grew in the first quarter of 2026. Beauty has maintained its momentum through innovation, in-store experience and shifting consumer needs, as the category responds seamlessly to its shoppers.
Major chains like Ulta Beauty and Bath & Body Works led the charge in terms of performance, while smaller brands like Bluemercury faced slower traffic trends. Beauty has always been a category that thrives in economic uncertainty, and with the expansion of the store footprints over the last few years, beauty retailers have been ready for the increased attention.
As mentioned earlier, consumers still want to shop despite lower consumer sentiment, and the dopamine boost of a beauty retail visit can sustain shoppers who might otherwise be trying to limit their spend. Small indulgences are still top of mind for consumers, which certainly will continue to benefit beauty throughout the remainder of the year.
Finally, at the end of the first quarter, it was announced that digitally native footwear retailer, Allbirds, would sell for only $39 million, despite its prior valuation at $4 billion. Digitally native brands have been expanding store fleets once again, but Allbirds serves as a discretionary cautionary tale.
The footwear category has always been dominated by fashion trends; one day a brand is on fire, the next day it’s almost extinct. Allbirds followed a similar trend, with rapid retail expansion during the pre-pandemic period.
As has been the case, remaining relevant to audiences is still a challenge, even for buzz-worthy digitally native brands. Building lasting relationships with shoppers extends beyond being the product of the moment, and many of these brands are pivoting to focus on planting deeper roots.
Digitally native brands have a right to exist in discretionary retail. In many ways, they are responsible for much of the innovation that has come out of general merchandise categories over the past decade. But, there is still a lot of risk in the business of building new brands, and in the case of Allbirds, diversification that might be needed to keep shoppers coming back.
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.
Traffic to brick and mortar retail chains remained essentially flat in March 2026 following a period of steady year-over-year (YoY) gains – although calendar shifts may account for some of the apparent slowdown.
Saturday is typically the busiest day for in-store shopping, and March 2026 had one fewer Saturday than March 2025, which likely weighed on overall foot traffic, as average daily visits on each weekday in March 2026 were all higher than the monthly average. At the same time, the increase in average visits per weekday on most days was smaller than the YoY monthly growth in January and February – suggesting that consumer caution may have also played a role in the March traffic trends. April data should bring more clarity as to how much of the slowdown was driven by a calendar shift versus emerging consumer caution.
Meanwhile, traffic to e-commerce distribution centers skyrocketed in March – with visits rising 16.2% compared to March 2025 – perhaps helped by a different calendar shift. The shift in Easter – from April 20 in 2025 to April 5 in 2026 – likely pulled some holiday shopping into late March, boosting activity.
On the manufacturing side, foot traffic to plants remained relatively flat in March 2026, rising just 0.7% YoY nationwide.
The March ISM Manufacturing PMI showed growth in new orders and production compared to February, while employment declined – pulling foot traffic trends in opposite directions. The muted visit growth suggests facilities are maintaining operational intensity even as headcounts shrink, pointing to manufacturing activity becoming less labor-dependent, with output continuing to drive facility usage despite subdued hiring.
March’s data suggests that underlying consumer and industrial activity remains resilient, with calendar dynamics distorting headline trends rather than signaling a true slowdown. Looking ahead, as calendar effects normalize, retail and logistics activity may better reflect this underlying strength, while manufacturing continues its shift toward higher output with leaner workforces.
For more data-driven consumer 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.
Dining closed out Q1 2026 on uneven ground. While February offered renewed momentum across segments, macroeconomic headwinds continue to influence dining behavior – putting some categories on more favorable growth trajectories than others. We dive into the data below.
Quarterly dining data underscores a clear standout. Fast casual posted a 3.1% year-over-year (YoY) increase in Q1 2026 visits – outperforming other dining formats and signaling strong demand for the segment.
The trend likely reflects the current economic climate. Fast casual’s perception of quality, at a price point still below full-service dining, appears to be resonating as consumers weigh discretionary spending.
By contrast, traffic for the QSR segment remained essentially on par with last year in Q1 2026 – a sign that LTOs and value offerings are helping maintain traffic, even as the segment faces pressure from lower-income pullback.
Lastly, full-service restaurants showed the weakest performance, with visits declining 1.4% YoY in Q1 2026 – potentially reflecting softer demand as consumers scale back on higher-cost dining occasions.
A broader view of monthly visit patterns provides additional context to these trends.
The graph below shows that between April and October 2025, QSR traffic was essentially flat or below the previous year’s levels, likely a reflection of consumer sentiment regarding inflation and a degraded value perception in fast food.
But during the same window, full-service restaurants mustered several YoY visit lifts, suggesting that higher-income consumers continued to support sit-down dining – even as more price-sensitive audiences reeled from inflation.
However, the landscape began to shift toward the end of 2025. QSR trends improved, reflecting refreshed value strategies and LTOs designed to re-engage cost-conscious diners.
At the same time, full-service performance weakened. After a sharp dip in December 2025, the segment saw only a partial recovery before declining again in March 2026 – likely influenced by one fewer Saturday compared to March 2025. But overall, this pattern suggests that sustained economic pressure may be prompting even higher-income consumers to moderate discretionary spending in recent months.
Fast casual, meanwhile, has maintained an upward growth trajectory throughout the last twelve months, reinforcing its role as a middle-ground that can succeed in dynamic economic conditions.
Examining visit patterns by day of week reveals another layer of evolving consumer dining behavior amid ongoing economic uncertainty.
Fast casual’s Q1 2026 strength was driven primarily by weekday traffic, which rose 4.7% YoY, alongside a more modest 1.3% increase on weekends. This imbalance suggests that fast casual’s momentum is tied to workweek routines – lunch breaks, quick dinners, and on-the-go meals – where demand for convenience and perceived quality intersect. In the current macroeconomic environment, these habitual visits appear more resilient than discretionary weekend outings.
QSR’s visits followed a more muted version of this pattern. Weekday visits rose 0.6%, while weekend traffic dipped slightly (-0.4%), indicating that mid-week promotions may be sustaining convenience-driven demand, but basic value may be less effective at driving weekend traffic.
Full service visits, meanwhile, declined across both weekparts, with a steeper drop on weekends (-1.9%) than weekdays (-0.6%). Weekends – when busy schedules free-up for socializing and celebrations – are a cornerstone for sit-down dining, and this gap may point to the increased vulnerability of the full-service segment as consumers reassess discretionary spend.
The data points to a dining environment increasingly defined by value – with nuance in how that value is delivered.
QSR’s steady performance underscores the importance of affordability, particularly for budget-conscious consumers, while fast casual’s growth suggests that value is increasingly defined by price, quality, and convenience that justify spend.
On the other hand, full-service restaurants, and their elevated experience, appear more exposed to value-conscious decision-making. If economic pressures persist, more discretionary, sit-down dining occasions may come under greater scrutiny from consumers.
For more dining 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.
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After a weather-disrupted start to the year, March delivered a clear signal that the office recovery is once again moving forward. The latest data points to a seasonal rebound alongside tightening workplace policies translating into sustained return-to-office (RTO) gains.
March 2026 marked the busiest March for office visits since the onset of COVID, with traffic just 26.5% below 2019 levels.
Part of this strength was calendar-driven, as the month included 22 working days compared to 21 in both 2019 and 2025. But even after adjusting for this difference, the underlying trend remained firmly positive. Average visits per working day were 29.8% below 2019 levels and 6.4% higher than March 2025, pointing to real and continuing momentum in the market.
On a regional basis, substantive year-over-year (YoY) gains were seen across every major market but Washington, D.C., where adjusting for working days revealed a 3.4% YoY visit gap – possibly influenced by a mid-month severe storm event that may have kept some workers home in a region relatively unaccustomed to such disruptions.
Miami and New York remained at the top of the recovery curve, with office visits exceeding 90% of pre-COVID baselines.
But the more interesting story is unfolding on the West Coast, where some of the nation’s biggest recovery laggards are making steady progress. Los Angeles recorded the strongest YoY growth of any analyzed market, supported in part by the comparison to early 2025, when the city was still reeling from January’s wildfires. San Francisco, where an AI-driven recovery remains in full swing, also continued to build momentum, with visits up 15.4% YoY. The city is steadily climbing the post-pandemic recovery rankings – after avoiding the bottom spot since September 2025, it edged up to third from last for the second month in a row.
As hybrid policies continue to tighten and companies like Stellantis join the growing list of employers requiring five-day-a-week attendance, workplace behavior is shifting slowly but surely toward more in-person work. And While office attendance is unlikely to return to pre-COVID norms, additional mandates set to take effect later this year at organizations ranging from Home Depot to the California state government point to continued gains in office utilization in the months ahead.
For more data-driven RTO 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.
While artificial intelligence was the undeniable protagonist of Shoptalk Spring 2026, the discussions illuminated a landscape far more nuanced than simple automation. Retailers are currently navigating a perfect storm of behavioral shifts, ranging from the physiological impact of GLP-1 medications to the cultural resurgence of the mall driven by Gen Alpha. In response, the industry is moving away from rigid demand planning toward a model defined by extreme operational agility, where the lines between digital agents and physical storefronts are increasingly blurred – an evolution reflected in the four key takeaways from this year’s event.
The most significant evolution in the digital space is the transition from traditional e-commerce to Agentic Commerce, or "A-Commerce" (hat tip Shoptalk’s Joe Laszlo). As AI agents begin to autonomously manage discovery, price comparison, and purchasing for consumers, the retail industry must pivot to serve these non-human decision-makers. This shift has the potential to disrupt the long-standing trend of retail concentration. By lowering the cost of customer acquisition and brand formation, AI is effectively leveling the playing field, allowing niche brands to challenge established giants and potentially reversing a decade of market consolidation.
Consumer behavior is currently evolving faster than at any point in recent history. The widespread adoption of GLP-1 medications has created a "lifestyle domino effect" that stretches far beyond the pharmacy. Data shows these medications are not only shifting primary grocery destinations but are also triggering a chain reaction in discretionary spending. A significant weight loss often prompts a total wardrobe refresh, which in turn leads to increased spending on housewares as consumers feel a renewed desire to host social gatherings and showcase their updated personal aesthetic.
Simultaneously, Gen Alpha is coming of age and bringing a surprising nostalgia for the physical "mall hangout" culture. Brands are responding by leaning heavily into "recommerce" and resale markets to build long-term community engagement. In this environment, lifetime value is no longer just about the initial transaction but about fostering a continuous cycle of brand interaction through niche marketplaces and circular economies.
The physical store is not dying; it is being re-engineered to function like a high-end service environment. The industry is moving toward a "hotel check-in" model where computer vision and loyalty integrations allow retailers to identify customers the moment they cross the threshold. This level of tracking is part of a new value exchange: consumers grant access to their data in return for hyper-personalized in-store media and a frictionless shopping experience. This evolution notably aims to eliminate "security friction," such as locked display cabinets, by replacing them with seamless, background-monitoring technologies.
Behind these front-end changes lies a total re-engineering of the supply chain. The traditional discipline of demand planning, which relies on historical data, is being replaced by "demand sensing." This model uses real-time AI to create highly reactive inventory flows that can pivot instantly based on current market signals. Furthermore, the economics of fulfillment have reached a tipping point; micro-fulfillment centers are now financially viable at a threshold of just 500 orders per day. This democratization of automation allows a broader range of retailers to offer localized, rapid delivery that was once the exclusive domain of the industry's largest players.
The retail playbook is being aggressively rewritten in 2026 as the industry moves past the era of mere experimentation and into one of total operational integration. The convergence of autonomous "A-Commerce" agents, the physiological lifestyle shifts triggered by GLP-1 medications, and the unexpected cultural resurgence of the physical mall among Gen Alpha has rendered legacy forecasting models obsolete. Success in this new landscape now depends on a retailer’s ability to bridge the gap between high-tech digital convenience and hyper-personalized, frictionless physical experiences. Ultimately, the winners of this cycle will be those who replace static planning with real-time demand sensing, ensuring they remain as agile as the rapidly evolving consumers they serve.
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.
Despite the ongoing economic uncertainty, year-over-year (YoY) foot traffic trends to brick and mortar retail chains has been generally positive all year, with only three out of the first fourteen weeks of the year posting visit declines.
During Easter week, visits rose 5.7% compared to the week of March 31 to April 4, 2025 – the second biggest YoY increase of the year so far, following Valentine's Day week. And while some of this lift likely reflects calendar shifts, as Easter fell later in April in 2025, it also underscores consumers’ continued willingness to shop – especially for special occasions – despite broader headwinds.
Indeed, AI-powered location intelligence also shows a 1.9% increase in traffic compared to Easter Week 2025, and a 7.4% lift compared to the year-to-date weekly retail traffic average – highlighting current consumer resilience.
Easter generated increases in retail foot traffic across most of the country, but the strongest lift was in the Southeast, as can be seen on the map below. The region’s outsized performance likely reflects a combination of factors, including stronger cultural emphasis on Easter-related gatherings and traditions, favorable spring weather that supports in-store shopping, and a higher reliance on brick-and-mortar retail formats.
Retail traffic data for Easter Week 2026 suggests that retail traffic in 2026 is being supported by stable underlying demand, with holidays like Easter acting as accelerators rather than compensating for weakness. At the same time, the Southeast’s outperformance reinforces the need for regionally tailored strategies, as the ability to convert seasonal demand into store visits varies significantly across markets.
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.
