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As we enter the final quarter of 2025, the retail landscape has been defined by an eventful year in consumer behavior – and by more uncertainty heading into the holidays than in recent memory. The year has been marked by volatile retail traffic, reflecting a consumer base grappling with macroeconomic uncertainty, the impact of tariffs, and a growing insistence on deep discounts.
This choppiness is clearly illustrated in the year-over-year (YoY) weekly visit trends for our Placer 100 Retail Index, as shown below. But despite the turbulence, our visitation data reveals some key trends that are already painting a clear picture of what to expect this holiday season.
One notable pattern is the growing visibility of a “two-tier economy” – a theme we also explored in our recent look at the restaurant category. Affluent consumers appear confident, largely driven by the "wealth effect." With strong financial markets, a healthy housing market, and the positive impact of recent interest rate cuts, this demographic has seen its net worth grow and continues to spend on discretionary goods and services.
This confidence is clearly visible in our retail visitation data, which shows strong performance in categories catering to higher-income shoppers. Luxury department stores, specialty and fresh-format grocers, and fine-dining restaurants are all experiencing steady traffic, indicating this key consumer group is well-positioned to spend this holiday season.
By contrast, lower- to middle-income households face mounting cost-of-living pressures that have clearly impacted their discretionary spending. As shown in the first graph above, our data shows a notable softening across the broader retail and restaurant landscape in late August, September, and early October as these consumers grapple with economic uncertainty and the initial effects of tariff-related price increases. This cautious stance has prompted a distinct shift in behavior; consumers are not just pulling back, but actively trading down to more affordable retail channels. We've seen this manifest in increased traffic to value-oriented grocers, warehouse clubs, dollar stores, and off-price apparel chains as households look to stretch their budgets.
Softening visitation trends among lower- and middle-income consumers help explain another key trend – the early start to this year’s holiday promotional season, which began as early as September, well before Amazon’s “Big Deal Days” ignited the broader deal-hunting frenzy. Our data indicates this consumer segment is being highly strategic, leading to foot traffic that spikes during major sales events, but remains subdued during non-promotional periods. Consequently, retailers are caught in a promotional arms race, pushing sales earlier than ever in a fierce attempt to attract these value-seeking shoppers and, more importantly, lock in a share of their limited holiday budgets before they are spent elsewhere.
This dynamic creates a precarious balancing act for retailers. A potential slowdown in manufacturing and port activity could lead to inventory challenges, creating a perfect storm when combined with a consumer base conditioned to seek out deep discounts. This environment suggests that precise inventory management and flawless promotional timing won't just be important – they will be the critical factors separating the winners from the losers this holiday season.
Still, promotions don’t just have to be about price cuts. Pop-culture tie-ins and strategic product launches have also proven effective at driving retail traffic this year – and could be particularly impactful during the holiday season.
This holiday season, retailers will be increasingly dependent on affluent consumers, as lower- and middle-income shoppers are forced to balance "needs versus wants." This doesn't mean this group has stopped spending, but that their priorities have shifted. And to succeed this holiday season, retailers will need to meet both sides of the consumer divide – delivering value where it matters most and using strategic, well-timed promotions to drive engagement across income levels.
For more data-driven retail 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.
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In Q3 2025, consumers continued to pull back on food-away-from-home spending amid rising prices and shifting behaviors, creating persistent pressure across the dining landscape. McDonald’s (MCD) and Chipotle (CMG) each navigated these challenges with mixed results, underscoring the difficulty of sustaining growth even for well-established brands. Both chains showed relative resilience compared to the broader market but faced mounting headwinds that tempered performance and tested their strategic approaches.
The quick-service category is under pressure from multiple fronts: persistent inflation, shifting consumer behavior, value-menu fatigue, and even the growing adoption of GLP-1 weight-loss drugs, which are dampening demand for food consumed away from home. And McDonald’s has not been immune from these challenges.
The company’s successful Minecraft Meal collaboration helped lift traffic in April, contributing to a 2.5% increase in U.S. comparable sales in Q2 – a welcome rebound from Q1’s 3.6% comp sales decline. But the momentum has been difficult to sustain. Foot traffic lagged 2024 levels throughout the summer – albeit lapping last year’s Summer of Value promotion – and remained sluggish even after the September debut of McDonald’s new Extra Value Meal. In Q3, visits were down 3.5% year over year (YoY), with same-store traffic falling 4.0%, underscoring how difficult it is to reignite growth in 2025 even with special promotions – especially for a chain reliant on a customer base that is less affluent than the national average.
Like McDonald’s, Chipotle has leaned on special promotions, such as its recent “Wear a College Football Jersey” BOGO on September 15, 2025, to help navigate this year’s headwinds. But its primary strategy has been expansion. Since the start of 2024, Chipotle has opened hundreds of new locations, most featuring a Chipotlane drive-thru pickup lane.
And this aggressive growth has helped sustain Chipotle’s momentum. Chain-wide visits have remained positive YoY in most months of 2025 – likely supported by Chipotle’s more affluent customer base. And in Q3, overall visits rose 0.5% YoY ,keeping pace with the broader fast-casual segment, which saw visits grow by 0.7%.
At the same time, same-store visits have trended slightly negative YoY, echoing Q2’s 4.0% decline in comparable sales. This suggests that while new unit growth is cushioning the slowdown, maintaining traffic at established locations remains a challenge. Still, the declines have been relatively modest, highlighting Chipotle’s underlying resilience – especially given the comparison to a particularly strong 2024.
External pressures continue to weigh on the dining sector, and McDonald’s and Chipotle are no exception. Being able to remain nimble and embrace challenges will remain crucial for both chains as Q4 gets underway.
For the most up-to-date dining data, check out Placer.ai’s free tools.
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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Weekly visits to Placer’s Industrial Manufacturing Index remained below 2024 levels throughout September and into early October. Although trends began to stabilize during the week of September 22nd, activity continued to lag behind last year’s benchmarks – signaling a sustained year-over-year (YoY) slowdown.
These findings align broadly with the ISM Manufacturing PMI, which edged up to 49.1% in September from 48.7% in August – signaling contraction, but at a potentially moderating pace. (Any value below 50 indicates a decline.) Still, sentiment indicators remain mixed, with the S&P Global U.S. Manufacturing PMI easing from 53.0 in August to 52.0 in September – reflecting slower growth but still remaining in expansionary territory.
As shown in the chart above, the slowdown was particularly acute in the auto sector, where U.S. sales forecasts have been revised downward and production figures indicate declining output. The sharp divergence from the overall index beginning the week of September 15th likely also reflects industry-wide disruption following last month’s devastating fire at the Novelis plant in New York, which reverberated throughout the industry.
Beyond short-term disruptions like the Novelis fire and ongoing tariff uncertainty, structural forces tied to AI and automation may also be contributing to the industrial deceleration. Many plants are adopting AI-enabled predictive maintenance, robotics, and remote monitoring, which reduce the need for certain categories of employees. And in autos especially, the shift to EV production and AI-driven retooling may already be visible in lower employee presence.
For more data-driven manufacturing insights, follow Placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
August’s drop in office foot traffic left many wondering – had the return-to-office movement finally hit a wall, or was it just summer taking its usual toll?
We analyzed the latest location analytics to find out.
In September 2025, a wave of new RTO mandates took effect nationwide, with companies from Intel to Toyota requiring employees to spend at least four days per week in the office. And following August’s sharp retreat, September delivered a decisive rebound: Office visits were just 26.3% below 2019 levels – a clear improvement from August and essentially tied with June’s performance.
This suggests that August’s dip was seasonal rather than structural – a reflection of flexible post-pandemic work habits during vacation-heavy periods. As fall routines took hold, RTO momentum strengthened once again, underscoring the nonlinear yet sustained nature of office recovery progress.
To be sure, some of September’s upswing can be chalked up to calendar math – the month had 21 working days, compared to 20 in both September 2024 and 2019. But that extra day alone doesn’t explain the full rebound.
Even when adjusting for working days, September 2025 ranked as the third busiest in-office month since COVID, just behind June and July 2025.
Miami and New York City – two markets where in-person work has firmly reestablished itself as the norm – continued to lead the office recovery in September. In Miami, ongoing corporate migration is reinforcing an “office-first” culture, while in New York, a growing wave of finance-sector mandates is accelerating the push back to the office.
And several other markets also saw significant improvement. Dallas and Atlanta outperformed the nationwide average with office visit gaps just 15.4% and 22.9% below September 2019 levels, respectively. Meanwhile, San Francisco – though still trailing other major markets – closed its post-pandemic gap to 40.2%.
In addition, San Francisco recorded the largest year-over-year gain in office visits this September, outpacing national trends and surpassing more recovered markets.
That combination – still lagging but accelerating rapidly – mirrors what’s happening in the city’s leasing market, where AI-driven demand is fueling fresh activity and major employers are renewing their commitments to the Bay Area. Salesforce’s new multi-year investment in San Francisco further underscores confidence in the city’s long-term role as an innovation hub. And in late August, the city’s municipal workers also returned to the office four days a week, further helping set the tone for a city in the midst of a comeback.
With fall routines reestablished and corporate mandates expanding, the office recovery appears to be regaining momentum.
Will this renewed surge carry through the winter – or will the season’s holidays bring another pause?
Follow Placer.ai’s data-driven RTO analyses to find out.
**NOTE: Data in the office index has changed due to a regular process of enhancing the list of buildings. This includes the addition of nearly 300 new entities across the index and the removal of buildings that no longer met the necessary standard - either due to renovation or repurposing. In total, the removed assets amounted to less than 5% of the overall count, and the overall trendlines remained the same.
Following a brief lift in spring – when mall visits nationwide rose year-over-year (YoY) across all formats – the Placer.ai Mall Index showed momentum fading through the summer and softening further into fall.
Indoor malls registered slight year-over-year (YoY) visit upticks in July and August, but saw visits drop 1.9% YoY in September. Meanwhile, open-air centers and outlet malls, which maintained minor visit gaps in the summer, saw these widen to 1.7% and 6.8%, respectively, in September. Some of this decline can be attributed to a calendar shift: September 2025 had one fewer Sunday than the same month in 2024, a change likely to hit outlet malls the hardest. (So far this year, 18.2% of outlet mall visits have occurred on Sundays, compared to just 16.0% for indoor malls and 15.4% for open-air centers). But the September drop also signals that malls’ summer slowdown isn’t over.
Still, zooming out to quarterly visitation patterns shows that YoY changes in foot traffic have remained relatively modest across mall types since the start of 2025. In Q3 2025, visits to indoor malls were down just 0.1% compared to 2024, while visits to open-air shopping centers and outlet malls dipped just 1.1% and 2.8%, respectively. Given the macroeconomic headwinds that have challenged retail this year – including persistent inflation, tariffs, and higher living costs – these are mild declines.
And with the all-important holiday season approaching, retailers have an opportunity to shift the narrative. Strategic promotions, in-store experiences, and omnichannel integration could help convert cautious consumer sentiment into stronger end-of-year traffic.
Even so, despite relative stability in the sector, outlet malls have underperformed other mall types for YoY visits since the start of the year. The format’s steeper YoY declines likely reflect its stronger appeal to value-focused consumers – shoppers who are increasingly turning to large discounters and online bargain platforms.
Analyzing the three mall types’ trade areas with demographics from STI: PopStats shows that outlet malls attract a higher share of lower- to middle-income consumers than other mall formats. Over the past 12 months, 43.8% of households within outlet malls’ captured markets earned less than $75K annually, compared to 40.8% for indoor malls and 37.8% for open-air shopping centers. These shoppers are more likely to be watching their budgets (including for transportation) and choosing more convenient off-price alternatives such as T.J. Maxx, Ross Dress for Less, Burlington, Marshalls, or HomeGoods – all of which saw consistently steady YoY visits throughout the summer and early fall, as shown in the chart below.
Outlet malls also tend to offer fewer of the experiential elements – dining, entertainment, and events – that have helped other mall types regain momentum, leaving them struggling to differentiate and sustain consistent foot traffic. At the same time, shoppers have become more selective, turning to malls for quick, mission-driven visits rather than leisurely outings, a shift that is also reflected in shorter visit durations.
Although September capped off a sluggish summer, the broader picture offers reason for cautious optimism. Year-to-date performance has remained relatively stable, suggesting that underlying consumer demand remains intact, even if somewhat restrained.
If retailers and mall operators can re-engage shoppers through compelling promotions, festive in-person activations, and other special draws, the upcoming holiday season could still outperform expectations.
For more data-driven shopping center insights visit Placer.ai’s free industry trends tool.
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.
One of the hallmarks of Americana is the image of a biker riding fast and free down enormous expanses of American highways. For tens of thousands of motorcycle enthusiasts, nothing compares to the Sturgis Motorcycle Rally, held annually in Sturgis, South Dakota. In 2025, the event took place between August 1st and August 10th – and the week and a half of food, folks, and festivities drove a massive spike in out-of-market visitors to Sturgis.
Saturday, August 2, was the most popular day of visits, with visits up 14.7% compared to the prior year and up a whopping +549.9% compared to an average Saturday in Sturgis.
One popular place to visit within Sturgis is Lynn’s Dakotamart on Lazelle St, where one can find groceries ranging from NY strip steaks to fresh Midwest watermelon. During the Sturgis motorcycle rally, the store's trade area more than doubled from 15 miles to 33 miles.
Large events like the Sturgis Motorcycle Rally can also hold much promise for brands, as they seek to capture attention from motorcycle devotees. Placer.ai data shows that some of the top-visited places during the 10 days in August include Wells Fargo, McDonald’s, Burger King, Dairy King, Ace Hardware, and restaurant/live venues such as Loud American. The rally also brings an influx of affluent suburban visitors, with nearly 1 in 5 out-of-town visitors with a household income greater than $150K, and 13.4% belonging to the "Wealthy Suburban Families" Spatial.ai segment.
In sum, the Sturgis Motorcycle Rally is a unique opportunity for local businesses and local and national brands to capitalize on the excitement and celebratory frame of mind of the out-of-town visitors. Many of the guests come with the mindset to enjoy themselves, mingle with others, stay in local lodgings, and even visit shopping centers and eateries that would normally seem a bit further afield but that in the context of riding are just part of the journey itself.
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.
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.
