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Between July and October 2025, Chipotle’s year-over-year (YoY) visit growth was driven almost entirely by expansion. Overall chain-wide visits rose each month, while same-store visits remained negative, generally hovering between -1% and -2%.
This pattern aligns closely with Chipotle’s recent earnings results. In Q2 2025, the company reported a 4% decline in comparable restaurant sales driven by a nearly 5% drop in transactions, even as average check size increased modestly. Q3 showed a slight improvement in same-store sales, but that gain was driven by higher checks rather than traffic, prompting Chipotle to trim its same-store sales outlook to a low single-digit decline. Throughout this period, digital sales remained a significant share of revenue, and new restaurant openings continued to support overall growth.
More recent visit data, however, suggests the dynamic may be shifting. In November, same-store visits turned slightly positive, contributing to a stronger increase in total chain-wide traffic, and December data shows that improvement continued to build. While expansion remains a key driver, this emerging pattern suggests existing locations may be starting to regain momentum.
Some of Chipotle’s late-year momentum appears to be driven by a growing share of short visits (defined as those lasting under ten minutes), which accounted for 42.2% of total chain traffic in 2025 – up from 41.2% in 2024. These quicker trips have consistently outperformed longer visits on a YoY basis, making their increasing share an important contributor to overall visit growth.
Importantly, the rise in short visits does not appear to be coming at the expense of longer ones. From July through October 2025, average per-location visits lasting under ten minutes remained essentially flat even as longer visits continued to lag; by December, however, both short and longer visits were growing on a per-location basis. This pattern indicates that the shift toward convenience is not cannibalizing traditional visit occasions, but may instead be lifting overall engagement with the brand.
Chipotle still benefits from expansion, but the more important story may be what’s happening inside existing restaurants: Same-store visits are stabilizing while quick trips gain share. And with the December launch of an all-new high-protein menu, Chipotle is signaling that it isn’t standing still – it’s continuing to refine its offerings to stay relevant as customer expectations and visit behaviors change.
For more data-driven 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.

McDonald’s ended 2025 with clear visit momentum, reversing earlier softness and posting steady gains in the back half of the year. Same-store visits followed a similar trajectory, indicating that growth was driven by stronger underlying demand rather than unit expansion. This late-year rebound positions McDonald’s with solid visit momentum heading into 2026, suggesting improving consumer engagement as the year closed.
Some of the visit growth is likely due to the chain's popular Q4 LTOs – but diving deeper into the visit frequency data suggests that McDonald’s long-term investment in its loyalty program is also playing a part. The company's launch of MyMcDonald’s Rewards in 2021 seems to have succeeded in shifting traffic toward higher-frequency, incremental visits rather than relying on new customer acquisition.
Compared to pre-loyalty levels in H2 2019, a growing share of McDonald’s visits now comes from diners visiting an average of 4+ times per month, with the share of visits from consumers visiting the chain an average of 8+ times per month showing the most dramatic growth. Grouping YoY visit trends by visit frequency also shows that visits from high-frequency diners grew the most compared to H2 2024 and H2 2019. This dynamic points to a core benefit of loyalty-led growth: driving incremental visits from existing customers is typically far more efficient than acquiring new ones, especially in a mature, highly penetrated category like quick service restaurants.
McDonald’s executives have been explicit that loyalty is designed to increase frequency, not just enrollment. The continued growth of the program through 2025 – including deeper integration with value offers and digital ordering – suggests McDonald’s is still finding room to extract incremental visits from an already loyal base.
For other restaurant chains, McDonald’s experience points to the value of using loyalty as a lever for incremental growth, particularly once a customer has already been acquired. While many QSR brands continue to drive expansion by entering new markets or opening additional locations, McDonald’s data illustrates how meaningful gains can also come from increasing visit frequency among existing customers. Even without McDonald’s scale, the underlying strategy is broadly applicable: converting first-time or occasional visitors into higher-frequency customers can serve as a complementary – and often more efficient – path to growth alongside physical expansion.
Will these lessons shape the QSR space in 2026? Visit Placer.ai/anchor to find out.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.

In 2024, Dollar Tree capitalized on the liquidation of the 99 Cents Only chain to execute a strategic "land grab" in the notoriously tight US retail market. By acquiring designation rights for 170 leases across priority markets like California, Arizona, Nevada, and Texas, the retailer aimed to bypass zoning hurdles and accelerate growth.
AI-powered location analytics indicates the selection process was highly disciplined: Looking at over 85 California stores that were converted from 99 Cents Only to Dollar Tree reveals that Dollar Tree cherry-picked high-performing sites that were generating 6.0% more foot traffic than the 99 Cents Only chain average in 2023. This suggests the acquisition was a calculated move to secure proven, high-quality real estate.
However, 2025 performance data reveals that capitalizing on this opportunity comes with distinct operational costs. Total visits to the converted stores have dropped 38.8% compared to their 2023 baselines. While some of this decline is structural – Dollar Tree operates a lower-frequency "treasure hunt" model compared to the high-frequency grocery model of the previous tenant – a significant portion is self-inflicted through network overlap.
A staggering 36% of the new sites are located less than a mile from an existing Dollar Tree, which inevitably dilutes local traffic through cannibalization. This serves as a critical lesson for retailers considering bulk acquisitions: purchasing a portfolio "en masse" often prevents perfect network optimization, forcing the acquirer to manage the friction where new footprints compete with the old.
Still, despite this cannibalization and the drop in raw volume, the transition offers a potential "healthy correction" for the business. The previous tenant collapsed under the weight of "rising levels of shrink" and low-margin grocery sales. By shifting the model, Dollar Tree is effectively filtering out non-paying visitors and low-value transactions, trading chaotic volume for a more controlled, margin-focused operation. The discrepancy between the sharp drop in total visits (-38.8%) and the more moderate dip in visits per square foot (-25.0%) suggests Dollar Tree is already rightsizing these operations, leaving some "ghost space" inactive rather than over-investing in labor to manage the entire cavernous floor.
And this excess square footage is only a liability if it remains empty; turning it into an asset requires leveraging the fundamental change in who is now shopping these aisles. The shift in shopper demographics – where "Wealthy Suburban Families" have replaced the "Young Urban Singles" and "Melting Pot Families" of the previous tenant – is crucial for Dollar Tree's future. This new audience, which is less price-sensitive, provides the ideal environment for Dollar Tree to deploy its "Multi-Price" strategy.
While CFO Jeff Davis has cited "start-up costs" regarding these conversions, the long-term opportunity is clear: if Dollar Tree can utilize the extra square footage to showcase this higher-margin assortment, these locations could evolve from overlapping burdens into profitable flagships that capture a share of wallet the traditional small-box fleet never could.
For more data-driven CRE 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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It’s mid-January, and you promised yourself this would be the year you finally join a gym and get in shape.
But let’s be honest – choosing a gym is about more than fitness goals alone. You’ll still need to judge the equipment, locker rooms, and showers for yourself (we’re not here to do your dirty work) but there are other, less obvious factors that can determine which gym feels like the right fit – and that’s where we come in.
Trying to dodge the morning rush? Hoping to make new friends? Curious where other singles work out? Letting AI-powered location analytics do some of the heavy lifting, we analyzed major fitness chains to uncover the patterns that could help you find your ideal gym in 2026.
Few things derail motivation faster than showing up ready to work out – only to find every treadmill and weight machine taken. To understand which gyms are most likely to offer breathing room during the busiest parts of the day, we analyzed hourly visit patterns across the nation’s largest fitness chains.
The analysis shows clear differences in how morning traffic is distributed. For early risers, LA Fitness recorded the lowest share of daily visits between 5:00 AM and 8:00 AM in 2025, at just 8.9%. 24 Hour Fitness and EōS Fitness also kept morning traffic below the 10% mark, suggesting these chains may be better options for members looking to avoid crowded early workouts.
If after-work workouts are more your style – and minimizing crowds is the priority – the data points to a few clear standouts.
Among the analyzed gyms, Club Pilates recorded the smallest share of visits between 5:00 PM and 8:00 PM at 16.5%, followed by Orangetheory (17.3%) and Burn Boot Camp (18.7%). That lighter early-evening traffic likely reflects the structured nature of class-based formats, which can help limit overcrowding even during peak hours.
Looking specifically at traditional gyms, EōS Fitness, Life Time, and Vasa Fitness saw the lowest share of early-evening visits – making them potential options for those hoping to squeeze in a workout while avoiding the after-work rush.
If getting in shape and finding love are both on the agenda this year, there may be a way to double up. Using AI-powered captured market data, we analyzed major gym chains to understand where members are most likely to be single – which may mean a higher chance of meeting someone special.
The analysis shows that Genesis Health Clubs had the highest combined share of one-person households and non-family households – i.e. people living alone or with roommates – in its captured market, at 36.6%. Crunch Fitness followed closely at 35.8%, with Planet Fitness just behind at 35.2%. These household segmentation patterns suggest that these gyms may offer more opportunities to meet other singles while getting in a workout.
If you’re looking for love, or simply to make new friends, age demographics may be something to consider when choosing a gym.
Our analysis of major fitness chains shows that the potential markets of Fitness Connection, Vasa Fitness, and In-Shape Family Fitness – i.e. the areas from which each chain draws its visitors – skewed younger in 2025, with large shares of visitors under 30.
By contrast, gyms such as The Edge Fitness Club, Retro Fitness, and Life Time tended to attract older audiences, with large shares of visitors 45 and older. For members looking to work out alongside peers closer to their own age, these demographic patterns could help narrow the field.
Age is just a number, right? So if you’re looking to make a real connection at the gym this year, you might look for some common areas of interest with other members. Our analysis highlights which gyms are most likely to attract visitors with your shared passions.
For dog lovers hoping to meet a fellow fitness enthusiast who’s just as excited about the dog park as leg day, Burn Boot Camp stands out. The chain over-indexed most strongly for the “Dog Lovers” segment, based on Spatial.ai: Proximity and AI-powered captured market data.
Prefer bonding over a good book? Genesis Health Clubs led the pack for the “Bookish” segment, suggesting a higher likelihood of members who enjoy reading as much as a solid workout. Coffee aficionados may find their people at 24 Hour Fitness, which showed the strongest over-indexing for the “Coffee Connoisseur” segment.
For those with travel on the brain, Workout Anytime over-indexed for the “Wanderlust” segment – pointing to a member base more likely to dream about their next destination. And if your ideal post-workout plan includes a movie or live show, 24 Hour Fitness and Gold’s Gym emerged as standouts, over-indexing for the “Film Lovers” and “Live & Local Music” segments, respectively.
Ultimately, choosing the right gym goes beyond equipment, pricing, or proximity. Visit patterns, demographics, and shared interests all shape the experience – influencing when you’ll work out, who you’ll see, and how the gym fits into your broader lifestyle. While no dataset can guarantee a perfect match, these patterns offer a data-backed starting point for finding a gym that aligns with how you want to train, socialize, and show up in 2026.
Want more data-driven insights for the real world? 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.
*This article excludes data from Washington State due to local regulations

Brick-and-mortar retail ended 2025 on a high note, with offline retailers posting a 2.4% increase in traffic in Q4 2025 relative to Q4 2024. This growth underscores the sector’s continued relevance even amid ongoing e-commerce growth and reinforces that retail growth is not a zero-sum dynamic, but one in which physical and digital channels increasingly coexist and complement one another.
The traffic gains during the holiday season also highlights the particular appeal of physical retail during the holiday season, when demand for in-person shopping experiences is particularly high. And as retailers refine store formats, right-size footprints, and better integrate physical locations into omnichannel strategies, brick-and-mortar retail is well positioned to remain a critical growth and engagement channel heading into 2026.
Foot traffic to e-commerce distribution centers remained consistently positive YoY throughout 2025, underscoring the strength of the logistics segment and signaling durable demand for logistics space rather than short-term fluctuations. This pattern aligns with the broader trajectory of e-commerce in the U.S., where online retail sales are projected to continue expanding, and reflects a broader structural shift in how goods move through the economy, with fulfillment infrastructure playing an increasingly central role.
This consistency is driven by long-term forces shaping retail and supply chains, including omnichannel fulfillment, faster delivery expectations, and inventory decentralization. As retailers rely more heavily on regional distribution nodes to support ship-from-store, curbside pickup, and next-day delivery, logistics facilities have become essential infrastructure rather than optional back-end operations. Even as growth moderated slightly later in the year, the persistence of positive YoY traffic points to sustained operational intensity and long-term relevance.
Year-over-year (YoY) foot traffic to U.S. manufacturing facilities points to volatility rather than sustained growth, reflecting a sector that is actively managing uncertainty. Visits declined during much of the year, suggesting restrained hiring as manufacturers appear to be operating lean – adjusting labor and on-site activity quickly in response to demand changes. Productivity gains and automation are likely also playing a role, allowing facilities to maintain output with less consistent physical presence. As a result, the foot traffic volatility may be reflecting operational flexibility rather than simple expansion or contraction.
Against this backdrop, December stands out with a clear uptick in manufacturing visits, signaling increased end-of-year activity. This rise likely reflects a mix of year-end production runs, inventory adjustments, maintenance work, and preparation for early-year demand. The December traffic increase reinforces that U.S. manufacturing – still one of the largest and most economically significant sectors globally – is adapting, not retreating, maintaining operational relevance even as it recalibrates for efficiency, automation, and selective growth.
For more data-driven retail & CRE insights, visit placer.ai/anchor.

Pacsun has seen its fair share of challenges in its more than forty years of business. Now, the brand is entering a new phase of growth, with a major brick-and-mortar expansion alongside concrete steps to engage Gen Z consumers. We dove into the data for several Pacsun locations outperforming their host malls to understand what a growing footprint could mean for shopping centers and how the brand is connecting with young consumers online and off.
Pacsun has faced its share of challenges over the years. More recently, however, the legacy brand and mall staple appears to be in the midst of a renaissance – with plans to further expand its domestic brick-and-mortar footprint in 2026.
Foot traffic data for several Pacsun locations that experienced notable foot traffic growth in 2025 suggests that the brand’s stores have the potential to help drive traffic to the shopping centers that host them. At The Promenade Shops at Centerra in Colorado, visits to Pacsun rose 35.7% YoY in 2025, significantly outpacing the -5.5% visit gap of the mall as a whole.
Psychographic segmentation suggests that beyond driving visits, these locations also help attract key young demographics to the mall.
At Winter Garden Village, for example, the Gen Z-aligned "Young Professionals" segment accounted for 19.4% of the Pacsun store’s captured market, compared to the mall’s 16.2% share of the segment.
These locations may be an example of how Pacsun’s physical retail presence works together with its social-sales strategy to engage with a younger generation; driving traffic, in part, by serving as spaces to experience products seen on trusted social channels or at creator-led events.
And Pacsun appears firmly committed to its younger audience as part of its wider strategy. Although the brand looks to move upmarket, the latest example of which being the launch of a premium eyewear collection, by maintaining what it views as an accessible price point, Pacsun remains focused on consumers yet to reach their peak earning years.
Pacsun’s ability to drive traffic from this key demographic makes it an attractive potential tenant for malls looking to build long-term loyalty among younger audiences with earning potential.
The Pacsun model demonstrates that physical retail remains a critical touchpoint for brands investing in digital engagement and younger audiences. With plans to open dozens of new locations over the next few years, Pacsun emerges as a compelling tenant for shopping centers seeking cultural relevance and the next generation of consumers.
For more 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.
