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We dove into the latest foot traffic analytics for leading movie theater chains – AMC Theatres, Regal Cinemas, and Cinemark – to uncover how recent consumer behavior and visitor demographics are setting the stage for the cinema category’s next chapter.
Cinemas have yet to reclaim their pre-COVID glory – and during the first few months of 2024, visits to AMC and Regal, and to a lesser extent Cinemark, remained substantially below 2019 levels. While some of these visit gaps can be attributed to exhibitors downsizing their real estate portfolios, the rise in at-home entertainment continues to impact pre-pandemic foot traffic comparisons.
In addition, since the pandemic, blockbuster releases have taken on even greater importance as drivers of movie theater visit spikes. And in early 2024, a relative absence of new blockbusters took its toll on theater operators’ performance. Between January and April 2024, cinema leaders saw YoY visit dips – likely attributable in part to delayed releases. And smash-hit titles that drove box-office success in early 2023 – including Avatar: The Way of Water, Ant Man, and The Super Mario Bros. Movie – helped set the stage for challenging YoY comparisons.
Despite these visit gaps, analysis of changing visitor demographics suggests that there remain a variety of ways for theater operators to succeed.
Analyzing cinema leaders’ captured markets with demographics from STI: PopStats shows that today’s movie-goers are more affluent than they were before COVID. After dipping in Q1 2023, the median household incomes (HHIs) of AMC, Regal Cinema, and Cinemark’s captured markets spiked in Q1 2024, surpassing the chains’ own pre-pandemic benchmarks. This shift may be due in part to discretionary spending cutbacks by less affluent consumers – who may be particularly inclined to hold off on going to the movies when there are no big releases on offer.
For exhibitors, the increase in visitors’ spending power presents an important opportunity: Affluent movie-goers are likely to spend more on revenue-boosting concessions and premium formats, a boon for theater chains at a time when visit gaps linger.
Five years after COVID sent movie theaters into a tailspin, the category is holding its own. Though routine visits remain lower than they were before the pandemic, a shifting customer base continues to provide operators with new avenues for success.
For more data-driven entertainment insights, visit Placer.ai.
This blog includes data from Placer.ai Data Version 2.0, which implements improvements to our extrapolation capabilities, adds short visit monitoring, and enhances visit detection.
The fitness industry has experienced steady growth in recent years, propelled by consumers’ prioritization of health and wellness – and gyms across the country are benefiting.
So with 2024 underway, we dove into the data to examine the segment’s performance during the first months of the year. Did Fitness’ strong January showing persist beyond the season of new year’s resolutions? And how did major gym chains – including Planet Fitness, Life Time, Crunch Fitness, and EōS – perform in Q1 2024 relative to last year?
Fitness has been a consistent success story over the past few years, and the category is showing no signs of slowing down. Year-over-year (YoY) visits to the industry were up nearly every week between January and April 2024, with the sole exception of the week of January 15th, when an Arctic blast saw many people hunkering down indoors. And visits remained slightly elevated even during the week of March 25th, when Easter celebrations likely distracted many people from their gym goals – an impressive feat given the comparison to a non-holiday week in 2023.
Drilling down into visit trends for eight major fitness chains shows that in today’s robust fitness environment, there’s enough demand to sustain a variety of chains: Both premium and mid-range options like Life Time and LA Fitness as well as more affordable choices like Planet Fitness and Crunch Fitness saw visits increase or remain steady for most of Q1 – and all saw YoY visit bumps in April.
Some gym-goers hit the gym several times a week and spend hours working out, while others have a more relaxed get-in-shape schedule. And analyzing leading chains’ visitation patterns shows that gyms are finding success by catering to fitness buffs’ varying preferences.
Perhaps unsurprisingly, the data reveals a strong correlation between a chain’s share of frequent visitors (i.e. those visiting the gym eight or more times in a month), and a chain’s share of visitors staying longer than 90 minutes. While some clubs, including Life Time and EōS appear to attract highly dedicated gym-goers, others, including Planet Fitness and Anytime Fitness, seem to draw more casual visitors.
The fact that both fitness chains attracting frequent visitors for longer workouts and gyms that cater to more casual exercisers who spend less time in the gym during each session are seeing positive visitation trends indicates that there are plenty of models for fitness success in 2024.
One thing seems clear – interest in gyms is not going away anytime soon. Visits continue to show YoY growth, and the industry is full of options for every kind of fitness enthusiast. Whether opting for occasional visits or adhering to a structured workout regimen – there’s something for everyone.
To stay ahead of the latest retail and fitness developments, visit placer.ai/blog.
Following a busy week of Q1 2024 updates several restaurant chains, the key question facing operators is whether menu price increases the past several years have forced consumers into alternative food retail channels. Several restaurant chains--most notably McDonald’s–highlighted a more “discriminating” consumer during their quarterly updates. According McDonald’s CEO Chris Kempczinski on the company’s Q1 2024 update this week: “U.S. consumers continued to be even more discriminating with every dollar that they spend as they faced elevated prices in their day-to-day spending which is putting pressure on the QSR industry.” In turn, this has resulted in flat-to-declining industry traffic in the U.S. during the quarter. Looking at year-to-date visitation trends across the different restaurant categories, we see a weak start to the year due to inclement weather, followed by a rebound to low-single-digit growth for the limited-service categories (QSR and fast casual) and low-single-digit declines for the full-service restaurant chains.
As we discuss throughout this week’s Anchor report, consumers will likely remain discriminating over the next several quarters. As such, we expect a continuation of the channel shifts we’ve been witnessing across the broader food retail sector. According to our data, the QSR category saw a +5% increase in visits from 2019-2023, while the full-service restaurant category saw a -8% decrease in visits (partly explained by the permanent closure of many smaller, regional full-service dining chains). Conversely, the grocery, superstore, convenience store, and dollar/discount stores have all seen meaningfully higher visit growth over the same period (as our friends at Restaurant Business have also called out), indicating these channels are taking share from the restaurant industry.
Looking at McDonald’s cross-visitation trends during the quarter, we see further evidence of this shift. We’ve compared the favorite grocery chains of McDonald’s visitors in Q1 2024 to Q1 2023 below. We see a material increase in the percentage of McDonald’s visitors that visited an Aldi location year-over-year–24% versus 17% in the year ago period. We also see a decrease in percentage of visits to most conventional grocery chains.
Not surprisingly, McDonald’s plans to accentuate its value offerings in the coming quarters. On its update call, management noted that 90% of its U.S. locations offer meal bundles for $4 or less and that it has been running several promotions through its digital app. The company also noted the need to align around a strong national value proposition so that the company can use its tremendous media scale to drive high consumer awareness. It will likely take time for McDonald’s to organize around its value platform, but once it does start to promote its value offerings on a nationwide basis, we would expect much of the rest of the QSR category to follow suit.
This weekend, Formula 1 is once again ready to take the track in the United States, this time at the Miami Grand Prix on Sunday. The Miami Grand Prix is the first U.S. race in the 2024 calendar, followed by the U.S. Grand Prix in Austin, Texas and the Las Vegas Grand Prix in the fall.
America has grown into the new epicenter of the sport and is the only country besides Italy to host multiple races in a singular season. Not only does the U.S. host races, but countless American retail, tech, CPG and hospitality brands serve as team sponsors, including Marriott, Rokt, Tommy Hilfiger, Google, eBay, Coca Cola and more. For brands looking at the consumption habits of younger, more affluent consumers, the rise of Formula 1 in the U.S. can help unlock insights on this group. Credit for Formula 1’s exponential growth in popularity is largely due to the Netflix docuseries, Drive to Survive, which just released its sixth season in the first quarter of 2024. According to Netflix, over 90 million hours of the program were watched throughout the first half of last year. The immense popularity of the show and its behind the scenes access to the luxurious world of F1 generated a large demand for the sport by Americans, and the appetite for home grown F1 races where U.S. based fans can participate is palpable.
2024 is the third running of the Miami Grand Prix, held around Hard Rock Stadium, with the event debuting in 2022. According to Placer.ai data, traffic at the event, which usually runs Thursday-Sunday, in 2023 increased 3% compared to 2022. Usually during grand prix weekends, visitors have the option to purchase single or multi-day passes, and our data (as shown below) indicates that there were fewer repeat visits in 2023 compared to 2022; consumers may have chosen single day passes more often or made the event a part of a larger weekend in Miami. The highest number of visits occurred on Sunday each year, which aligns with the fact that the actual race takes place that day, with practice sessions and qualifying taking place on Friday and Saturday respectively.
Despite slightly fewer loyal visits during the weekend, the time spent at the event increased, with an average of 179 minutes, up 4% year-over-year. With consumers spending around three hours at the venue, there is a huge opportunity for American CPG and retail companies to engage with this captive audience.
The U.S. Grand Prix, held annually in Austin, has seen similar success from the influx of American F1 fans. Traffic at the 2023 event weekend grew by 38% compared to 2019. 2022 saw peak event attendance, most likely due to a competitive and exhilarating end to the 2021 season that bled into the next year. 2023 also saw the highest percentage of three-day visits during the weekend, highlighting that most U.S. Grand Prix attendees visit the track multiple days for the various race weekend events.
While the growth of the event itself is impressive, the change in visitor demographics provides an even more striking opportunity for American retailers and brands. 2023 brought the highest percentage of visits from young professionals and young urban singles compared to all other segments in 2023. Young professionals also grew to 36% of visits in 2023 from less than 30% in 2019, showcasing the rise in younger and more affluent visitors. Both the popularity of Netflix coupled with the increase in influencer marketing brand trips to races may both have contributed to this shift over time.
It’s clear that Formula 1’s growing popularity has no doubt fueled race expansion stateside and that has been able to capture the attention of the elusive younger consumer, especially those with disposable income. Brands, licensees and retailers have all jumped on the opportunity to collaborate with drivers, teams and race weekends to tap into this growth market. Sporting events are a highly competitive landscape, excuse the pun, but the intersection of sports and content have paved the way for Formula 1’s success in the U.S.
Last week, Chipotle’s Q1 2024 update featured a number of positives, including visitation trends that outperformed the broader restaurant category and strong contribution from new store openings. More than 5% of the company’s 7% comparable sales growth during the quarter was driven by transaction growth, and year-over-year visitation trends have accelerated thus far in April. (Recall that our year-over-year visitation data includes contribution from stores opened during the past year as well as improvements in visits per location).
Impressively, there were multiple sources driving Chipotle’s transaction growth during the quarter. The company’s strong track record for menu innovation under CEO Brian Niccol continued during the most recent quarter, with the company spotlighting Barbacoa and the return of Chicken Al Pastor as a limited time offer. Management will continue to explore new menu additions, and is currently developing a new product pipeline for the next 18-24 months.
While menu innovation is important, it’s clear that throughput (the amount of customers that can be served with Chipotle’s assembly line process) is becoming a major factor in visitation traffic outperformance. We believe this has been driven by lower employee turnover rates—the company noted that it is experiencing the lowest turnover rates since Niccol joined the company in March 2018. According to management, throughput reached the highest levels in four years because of more consistent staffing, which aligns with our visit per location data for the past five years (below).
Chipotle noted that its throughput improved by nearly 2 entrees in its peak 15 minutes compared to last year with each month showing an acceleration. According to the company, “the restaurants run more smoothly as our teams are properly trained and deployed, which allows them to keep up with demand without stress. This leads to more stability and therefore more experienced teams that execute better every day, and this can be seen in our latest turnover data which is at historically low levels.” Our data also shows that visitation trends are improving during its peak hours, but that its peak hours are also changing. Historically, the hours between 12:00 PM-2:00 PM have represented Chipotle’s most frequently visited hours, but post-pandemic, we’ve seen visits shift to the 6:00 PM-8:00 PM timeframe (below). Return-to-office trends partly explain these trends, as do Chipotle’s push into smaller, more suburban/rural markets.
When we look at visit per location trends by hour, we see that most of the improvement during the Q1 2024 compared to Q1 2023 took place during the later afternoon and evening dayparts.
Looking ahead, Chipotle sees an opportunity to improve peak hour throughput, including adjusting the cadence of digital orders to better balance the deployment of labor (thus eliminating the need to pull a crew member from the front makeline to help the digital makeline during peak periods). The company also plans to bring back a coaching tool for its associates that it had in place prior to the pandemic. With more and more retailers embracing generative AI to help educate and train their employees-–a trend we heard consistently at this week’s Analytics Unite conference–we would expect Chipotle to also adopt generative AI with its updated coaching tool, potentially unlocking greater throughput improvements in the process.
The widespread adoption of hybrid work continues to be one of the most significant paradigm shifts since the COVID pandemic. As employees visit offices less frequently, or not at all, corporate users are opting for less but better space which is driving office vacancy rates to record highs.
But even as utilization for many office buildings remains below capacity, some buildings are clearly prospering. So what sets these thriving properties apart from the pack? We looked at outperforming office buildings in four major metro areas – New York, Chicago, San Francisco, and Dallas – to find out.
The post-pandemic office recovery has been uneven across the country. As of February 2024, a significantly larger share of workers in the New York-Newark-Jersey City and Dallas-Fort Worth CBSAs were back in the office, while office visits in the Chicago-Naperville-Elgin and San Francisco-Oakland-Berkeley CBSAs remained subdued.
But throughout the country, the reality is much more nuanced as some office buildings struggle to maintain occupancy,others are thriving. We identified four office buildings in four major metropolitan areas where the recovery in utilization was significantly stronger than the respective metro:
What sets these buildings apart from the pack?
One factor that isn’t driving the office recovery at these high-occupancy office buildings is different weekly visitation patterns.
Location intelligence for offices nationwide indicates that hybrid workers appear to prefer coming to the office mid-week: The bulk of weekly visits occur on Tuesdays, Wednesdays, and Thursdays, with fewer visits taking place on Monday and even less visits on Fridays. And this was also the weekly visitation pattern in the four CBSAs analyzed as well as in the high-occupancy office buildings. In fact, the outperforming office buildings had even more of their visits concentrated mid-week compared to the visit patterns in the wider CBSA.
It seems, then, that the higher visits to these outperforming offices is not due to more employees coming in on typical WFH days. Instead, more workers are likely coming in mid-week to make up for the lull on Mondays and Fridays.
So who are these visitors? And could they hold the key to these buildings' strong recovery numbers?
Focusing on the period between March 2023 and February 2024 reveals that in all the labor catchment areas of the analyzed Office Indexes, the share of one-person households was larger than the nationwide share of 27.5%. And during the same period, the share of one-person households in the catchment areas of the high-performing office buildings was even greater – almost 50% of households in the captured market of 2010 Flora St. in Dallas consisted of one-person households.
On the other hand, families with children were underrepresented in the catchment areas of the office indexes relative to the nationwide average of 27.1% – and the share of households with children was even lower in the catchment areas of the high-occupancy office buildings.
This indicates that those with young children at home were generally less likely to go into the office – and so the office buildings seeing the strongest post-COVID recovery are those that serve a large contingent of single employees. On the flip side, there is often a motivation for young singles to visit the office more frequently, whether driven by the desire for training and mentorship or the prospect of meeting a significant other in or around the workplace.
Much has been written on the challenging impact that return-to-office mandates can have on working parents – and especially on working mothers – so it may not come as a surprise that employees from family households are underrepresented in office buildings in 2024.
But the fact that one-person households are even more prevalent in the labor markets of the overperforming buildings (as compared to the wider CBSA Office Index) indicates that businesses and office assets can thrive even without wooing working parents back to the office.
So who are these singles driving the return to the office? Some of this segment may be made up of Gen-Zers seeking the networking and mentorship opportunities provided by an in-person office setting. But it’s not just younger workers leading the return to the office – the data indicates that executives and managers also make up an outsized portion of the outperforming buildings’ catchment areas. In all four CBSAs analyzed, the catchment area of the high-occupancy building included a significantly larger share of people in a managerial or executive role compared to the average catchment area composition of the wider CBSA Office Index.
Many of these executives are likely choosing – rather than being forced – to work on-site. Some might be looking to encourage their staff to return to the office by leading by example, while many are likely leveraging their space to host clients, driving foot traffic to these locations higher. But whatever factors are driving the trend – it appears that office buildings looking to bounce back in the new normal need to make sure they are drawing back the managerial ranks.
Analyzing the popular industries and occupations in the catchment areas of the office buildings and industries also reveals that the overperforming buildings serve a much higher share of employees working in finance, insurance, and real estate. A larger share of the catchment area population of the high-occupancy office complexes also works in professional services – including high-tech jobs – compared to the office index in the wider CBSA.
Many financial institutions and tech companies have asked employees to return to the office at least three days a week, which could explain why these industries are overrepresented in the catchment area of the high-occupancy buildings. This data may indicate, then, that while some of the foot traffic is coming from executives choosing to return to their pre-COVID work habits, the return-to-office mandates – whether full or part-time – are likely also helping these buildings stay ahead of the curve.
Although the proliferation of office vacancies across the country can make it seem like the return to office battle has already been lost, several buildings are bucking the trend. Location intelligence indicates that a combination of partial return-to-office mandates along with a larger-than-usual share of visitors from executives and non-parental households is helping these office complexes thrive.
1. Expanded grocery supply is increasing overall category engagement. New locations and deeper food assortments across formats are bringing shoppers into the category more often, rather than fragmenting demand.
2. Grocery visit growth is being driven by low- and middle-income households. Elevated food costs are leading to more frequent, budget-conscious trips, reinforcing grocery’s role as a non-discretionary category.
3. Short, frequent trips are a major driver of brick-and-mortar traffic growth. Fill-in shopping, deal-seeking, and omnichannel behaviors are pushing visit frequency higher, even as trip duration declines.
4. Scale is accelerating consolidation among large grocery chains. Larger retailers are using their size to invest in value, assortment, private label, and execution, allowing them to capture longer and more engaged shopping trips.
5. Both large and small grocers have viable paths to growth. Large chains are winning by competing for the full grocery list, while smaller banners can grow by specializing, owning specific missions, or offering compelling value that earns them a place in shoppers’ routines.
While much of the retail conversation going into 2026 focused on discretionary spending pressure, digital substitution, and higher-income consumers as the primary drivers of growth, grocery foot traffic tells a different story.
Rather than being diluted by new formats or eroded by e-commerce, brick-and-mortar grocery engagement is expanding. Visits are rising even as grocery supply spreads across wholesale clubs, discount and dollar stores, and mass merchants. At the same time, growth is being powered not by affluent trade areas, but by low- and middle-income households navigating higher food costs through more frequent, targeted trips. Shoppers are showing up more often and increasingly splitting their trips across retailers based on value, availability, and mission – pushing grocers to compete for portions of the grocery list instead of the full weekly basket.
The data also suggests that the largest grocery chains are capturing a disproportionate share of rising grocery demand – but the multi-trip nature of grocery shopping in 2026 means that smaller banners can still drive traffic growth. By strengthening their value proposition, specializing in specific products, or owning specific shopping missions, these smaller chains can complement, rather than compete with, larger one-stop destinations.
Ultimately, AI-based location analytics point to a clear set of grocery growth drivers in 2026: expanded supply that increases overall engagement, more frequent and mission-driven trips, and continued traffic concentration among large chains alongside new opportunities for smaller banners.
One driver of grocery growth in recent years is simply the expansion of grocery supply across multiple retail formats. Wholesale clubs are constantly opening new locations and discount and dollar stores are investing more heavily in their food selection, giving consumers a wider choice of where to shop for groceries. And rather than fragmenting demand, this broader availability appears to have increased overall grocery engagement – benefiting both dedicated grocery stores and grocery-adjacent channels.
Grocery stores continue to capture nearly half of all visits across grocery stores, wholesale clubs, discount and dollar stores, and mass merchants. That share has remained remarkably stable thanks to consistent year-over-year traffic growth – so even as grocery supply increases across categories, dedicated grocery stores remain the primary destination for food shopping.
Meanwhile, mass merchants have seen a decline in relative visit share as expanding grocery assortments at discount and dollar stores and the growing store fleets of wholesale clubs give consumers more alternatives for one-stop shopping.
While much of the broader retail conversation heading into 2026 centers on higher-income consumers carrying growth, the trend looks different in the grocery space. Recent visit trends show that grocery growth has increasingly shifted toward lower- and middle-income trade areas, underscoring the distinct dynamics of non-discretionary retail.
For lower- and middle-income shoppers, elevated food costs appear to be translating into more frequent grocery trips as consumers manage budgets through smaller baskets, deal-seeking, and shopping across retailers. In contrast, higher-income households – often cited as a key growth engine for discretionary retail – are contributing less to grocery visit growth, likely reflecting more stable shopping patterns or a greater ability to consolidate trips or shift spend online.
This means that, in 2026, grocery growth is not being propped up by high-income consumers. Instead, it is being fueled by necessity-driven shopping behavior in lower- and middle-income communities – reinforcing grocery’s role as an essential category and suggesting that similar dynamics may be at play across other non-discretionary retail segments.
Another factor driving grocery growth is the rise in short grocery visits in recent years. Between 2022 and 2025, the biggest year-over-year visit gains in the grocery space went to visits under 30 minutes, with sub-15 minute visits seeing particularly big boosts. As of 2025, visits under 15 minutes made up over 40% of grocery visits nationwide – up from 37.9% of visits in 2022.
This shift toward shorter visits – especially those under 15 minutes – is driven in part by the continued expansion of omnichannel grocery shopping, as many consumers complete larger stock-up orders online and rely on in-store trips for order collection or quick, fill-in needs. At the same time, the rise in short visits paired with consistent YoY growth in grocery traffic points to additional, behavior-driven forces at play – consumers' growing willingness to shop around at different grocery stores in search of the best deal or just-right product.
Value-conscious shoppers – particularly consumers from low- and middle-income households, which have driven much of recent grocery growth – seem to be increasingly shopping across multiple retailers to secure the best prices. This behavior often involves making targeted trips to different stores in search of the strongest deals, a pattern that is contributing to the rise in shorter, more frequent grocery visits. At the same time, other grocery shoppers are making quick trips to pick up a single ingredient or specialty item – perhaps reflecting the increasingly sophisticated home cooks and social media-driven ingredient crazes. In both these cases, speed is secondary to getting the best value or the right product.
So while some shorter visits reflect a growing emphasis on efficiency – as shoppers use in-store trips to complement primarily online grocery shopping – others appear driven by a preference for value or product selection over speed. Despite their differences, all of these behaviors have one thing in common – they're all contributing to continued growth in brick-and-mortar grocery visits. Grocers who invest in providing efficient in-store experiences are particularly well-positioned to benefit from these trends.
As early as 2022, the top 15 most-visited grocery chains already accounted for roughly half of all grocery visits nationwide. And by outpacing the industry average in terms of visit growth, these chains have continued to capture a growing share of grocery foot traffic.
This widening gap suggests that scale is increasingly enabling grocers to reinvest in the factors that attract and retain shoppers. Larger chains are better positioned to invest in broader and more differentiated product selection, stronger private-label programs that deliver quality at accessible price points, competitive pricing, and operational excellence across stores and omnichannel touchpoints. These capabilities allow top chains to serve a wide range of shopping missions – from quick, convenience-driven trips to more intentional visits in search of the right product or ingredient.
Consolidation at the top of the grocery category is reinforcing a virtuous cycle: scale enables better value, selection, and experience, which in turn draws more shoppers into stores and supports continued grocery traffic growth.
In 2025, the top 15 most-visited grocery chains accounted for a disproportionate share of visits lasting 15 minutes or more, while smaller grocers captured a larger share of the shortest trips. As shown above, larger grocery chains, which tend to attract longer visits, grew faster than the industry overall – but short visits, which skew more heavily toward smaller chains, accounted for a greater share of total traffic growth. Together, these patterns show that both long, destination trips and short, targeted visits are driving grocery traffic growth and creating viable paths forward for retailers of all sizes.
Larger chains are more likely to serve as destinations for fuller shopping missions, competing for the entire grocery list – or a significant share of it. But smaller banners can grow too by competing for more short visits. By specializing in a specific product category, owning a clearly defined shopping mission, or delivering a compelling value proposition, smaller grocers can earn a place in shoppers’ routines and become a deliberate stop within a broader grocery journey.
As grocery moves deeper into 2026, growth is being driven by the cumulative effect of how consumers are navigating food shopping today. Expanded supply has increased overall engagement, higher food costs are driving more frequent and targeted trips, and shoppers are increasingly willing to split their grocery list across retailers based on value, availability, and mission.
Looking ahead, this suggests that grocery growth will remain resilient, but unevenly distributed. Retailers that clearly understand which trips they are best positioned to win – and invest accordingly – will be best placed to capture that growth. Large chains are likely to continue benefiting from scale, consolidation, and their ability to serve full shopping missions, while smaller banners can grow by earning a defined role within shoppers’ broader grocery journeys. In 2026, success in grocery will be less about winning every trip and more about consistently winning the right ones.
To optimize office utilization and surrounding activity in 2026, stakeholders should:
1. Plan for continued, but slower, office recovery. Attendance continues to rise and has reached a post-pandemic high, but moderating growth suggests the return-to-office may progress at a more gradual and incremental pace than in prior years.
2. Account for growing seasonality in office staffing, local retail operations, and municipal services. As office visitation becomes increasingly concentrated in late spring and summer, offices, downtown retailers, and cities may need to plan for more predictable peaks and troughs by adjusting hours, staffing levels, and local services accordingly, rather than relying on annual averages.
3. Align leasing strategies with seasonal demand. Stronger attendance in Q2 and Q3 suggests these quarters are best suited for leasing activity, while softer Q1 and Q4 periods may be better used for renovations, repositioning, and targeted activation efforts designed to draw workers in.
4. Design hybrid policies around midweek anchor days. With Tuesdays and Wednesdays consistently driving the highest office attendance, employers can maximize collaboration and space utilization by concentrating meetings, programming, and in-office expectations midweek.
5. Reduce early-week commute friction to support attendance. Monday office attendance appears closely correlated with commute ease, suggesting that reliable and efficient transportation may be an important factor in early-week office recovery.
6. Prioritize proximity in leasing and development decisions. Visits from employees traveling less than five miles to work have increased steadily since 2019, reinforcing the value of centrally located offices and housing near employment hubs.
2025 was the year of the return-to-office (RTO) mandate. Employers across industries – from Amazon to JPMorgan Chase – instituted full-time on-site requirements and sought to rein in remote work. But the year also underscored the limits of policy. As employee pushback and enforcement challenges mounted, many organizations turned to quieter tactics such as “hybrid creep” to gradually expand in-office expectations without triggering outright resistance.
For employers seeking to boost attendance, as well as office owners, retailers, and cities looking to maximize today’s visitation patterns, understanding what actually drives employee behavior has become more critical than ever. This reports dives into the data to examine office visitation patterns in 2025 – and explore how structural factors such as weather, commute convenience, and workplace proximity have emerged as key differentiators shaping how and when, and how often workers come into the office.
National office visits rose 5.6% year over year in 2025, bringing attendance to just 31.7% below pre-pandemic levels and marking the highest point since COVID disrupted workplace routines. At the same time, the pace of growth slowed compared to 2024, signaling a possible transition into a steadier phase of recovery.
With new return-to-office mandates expected in 2026, and the balance of power quietly shifting towards employers, additional gains remain likely. But the trajectory suggested by the data points toward gradual progress rather than a return to the more rapid rebounds seen in 2023 or 2024.
Before COVID, “I couldn’t come in, it was raining” would have sounded like a flimsy excuse to most bosses. But today, weather, travel, and individual scheduling are widely accepted reasons to stay home, reflecting a broader assumption that face time should flex around convenience.
This shift is visible in the growing seasonality of office visitation, which has intensified even as overall attendance continues to rise. In 2019, office life followed a relatively steady year-round cadence, with only modest quarterly variation after adjusting for the number of working days. In recent years, however, greater seasonality has emerged. Since 2024, Q1 and Q4 have consistently underperformed while Q2 and Q3 have posted meaningfully stronger attendance – a pattern that became even more pronounced in 2025. Winter weather disruptions, extended holiday travel, and the growing normalization of “workations” appear to be pulling some visits out of the colder, holiday-heavy months and concentrating them into late spring and summer.
For employers, office owners, downtown retailers, and city planners, this emerging seasonality matters. Staffing, operating budgets, and programming decisions increasingly need to account for predictable soft quarters and peak periods, making quarterly planning a more useful lens than annual averages. Leasing activity may also convert best in Q2 and Q3, when districts feel most active. Slower quarters, meanwhile, may be better suited for renovations, construction, or employer- and city-led programming designed to give workers a reason to show up.
The growing premium placed on convenience is also evident in the persistence of the TGIF workweek – and in the factors shaping its regional variability.
Before COVID, Mondays were typically the busiest day of the week, followed by relatively steady attendance through Thursday and a modest drop-off on Fridays. Today, Tuesdays and Wednesdays have firmly established themselves as the primary anchor days, while Mondays and Fridays see consistently lower activity. And notably, this pattern has remained essentially stable over the past three years – despite minor fluctuations – as workers continue to cluster their in-office time around the days that offer the most perceived value while preserving flexibility at the edges of the week.
At the same time, while the hybrid workweek remains firmly entrenched nationwide, its contours vary significantly across regions – and the data suggests that convenience is once again a key differentiator.
Across major markets, a clear pattern emerges: Cities with higher reliance on public transportation tend to see weaker Monday office attendance, while markets where more workers drive alone show stronger early-week presence. While industry mix and local office culture still matter, the data points to commute hassle as another factor potentially shaping Monday attendance.
New York City, excluded from the chart below as a clear outlier, stands as the exception that proves the rule. Despite nearly half of local employees relying on public transportation (48.7% according to the Census 2024 (ACS)), the city’s extensive and deeply embedded transit system appears to reduce perceived friction. In 2025, Mondays accounted for 18.4% of weekly office visits in the city, even with heavy transit usage.
The contrast highlights an important nuance: Where transit is fast, frequent, and integrated into daily routines, it can support office recovery, offering a potential roadmap for other dense urban markets seeking to rebuild early-week momentum.
Another powerful signal of today’s convenience-first mindset shows up in commute distances. Since 2019, the share of office visits generated by employees traveling less than five miles has steadily increased, largely at the expense of mid-distance commuters traveling 10 to 25 miles.
To be sure, this metric reflects total visits rather than unique visitors, so the shift may be driven by increased visit frequency among workers with shorter, simpler commutes rather than a change in where employees live overall. Still, the pattern is telling: Workers with shorter commutes appear more likely to generate repeat in-person visits, while longer and more complex commutes correspond with fewer trips. Over time, this dynamic could shape office leasing decisions, residential demand near employment centers – whether in urban cores or in nearby suburbs – and the geography of the workforce.
Taken together, the data paints a clear picture of the modern return-to-office landscape. Attendance is rising, but behavior is no longer driven by mandates alone. Instead, workers are making rational, convenience-based decisions about when coming in is worth the effort.
For cities, the implication is straightforward: Ease of access matters. Investments in transit reliability, last-mile connectivity, and housing near employment centers can all play a meaningful role in shaping how consistently people show up. For employers, too, the lesson is that the path back to the office runs through convenience, not just compulsion, as attendance gains are increasingly driven by how effectively organizations reduce friction and increase the perceived value of being on-site.
1. AI is raising the bar for physical retail as shoppers arrive more informed, more intentional, and less tolerant of friction – though the impact varies by category and format.
2. As discovery shifts upstream, stores increasingly serve as confirmation rather than discovery points where shoppers validate decisions through hands-on experience and expert guidance.
3. AI-based tools can improve in-store performance by removing operational friction – shortening trips in efficiency-led formats and supporting deeper engagement in experience-led ones.
4. By embedding expertise directly into frontline workflows, AI helps retailers deliver consistent, high-quality service despite high turnover and limited training windows.
5. AI enables precise, location-specific marketing and execution, allowing retailers of any size to align assortments, staffing, and messaging with real local demand.
6. Retailers can also use AI to manage their store fleets with greater discipline and understand where to expand, where to avoid cannibalization, and where to rightsize based on observed demand rather than static assumptions.
7. AI is not a universal lever in physical retail; its value depends on the store format, and in discovery-driven models it should support operations behind the scenes rather than reshape the customer experience.
Physical retail has faced repeated claims of obsolescence, from the rise of e-commerce to the shock of COVID. Each time, analysts predicted a structural decline in brick-and-mortar. And each time, physical retail adapted.
AI has triggered a similar round of predictions. Much of the current discussion frames retail’s future as a binary outcome: either stores become heavily automated, or e-commerce becomes so optimized that physical locations lose relevance altogether.
But past disruptions point in a different direction. E-commerce changed how physical retail operated by raising expectations for omnichannel integration, speed, and clarity of purpose. Retailers that adjusted store formats, merchandising, and operations accordingly went on to drive sustained growth.
AI likely represents another inflection point for physical retail. As shoppers arrive with more information, clearer intent, and even less tolerance for friction than in the age of "old-fashioned" e-commerce, physical stores will remain – but the standards they are held to continue to rise.
This report presents four ways retailers are using AI to get – and stay – ahead as physical retail adapts to this next wave of disruption.
E-commerce moved discovery earlier in the shopping journey. Instead of beginning the process in-store, many shoppers now arrive at brick-and-mortar locations after having deeply researched products, comparing options, and narrowing choices online – entering the store to validate rather than initiate their purchasing decision.
AI-powered shopping accelerates this pattern. Conversational assistants, recommendation engines, and AI-driven discovery across search and social reduce the time and effort required to evaluate options – and this shift is changing consumers' expectations around the in-store experience.
Apple shows what it looks like when a physical store is built for well-informed shoppers. Given the prevalence of AI-powered search and assistants in high-consideration categories like consumer electronics, Apple customers likely arrive at the Apple Store with more preferences already shaped by AI-assisted research than other retail categories.
Apple Stores were designed for this kind of customer long before AI became widespread. The layout puts working products directly in customers’ hands, merchandising emphasizes live use over promotional signage, and associates are trained to answer detailed technical questions rather than walk shoppers through basic options.
That alignment is showing up in store behavior. Even as AI-powered shopping expands, Apple Stores continue to see rising foot traffic and longer visits thanks to the store's specific and curated role in the customer journey – a place where customers confirm decisions through hands-on experience and expert guidance.
Some applications of AI extend trends that e-commerce has already introduced. Others address operational challenges that previously required manual coordination or tradeoffs.
AI can reduce friction and make store visits more predictable by improving staffing allocation, reducing checkout delays, optimizing inventory placement, and managing traffic flow. These changes reduce friction without altering the visible customer experience.
Sam's Club offers a clear, recent example of AI solving a specific in-store bottleneck. For years, customers completed checkout only to face a second line at the exit, where an employee manually scanned paper receipts and spot-checked carts.
In early 2024, Sam’s Club introduced computer vision-powered exit gates, allowing customers to exit the store without stopping as AI algorithms instantly captured images of the items in their carts and matched them against digital purchase data. Employees previously tasked with receipt checks could now shift their focus to member assistance and in-store support.
The impact was measurable. Sam’s Club reported that customers now exit stores 23% faster than under manual receipt checks, a result confirmed by a sustained nationwide decline in average dwell time. During the same period, in-store traffic increased 3.3% year-over-year – demonstrating how removing friction with AI can deliver tangible gains.
AI optimizes stores for different outcomes. At Sam’s Club, it shortens visits by removing friction from task-driven trips. At Apple, upstream research leads to longer visits focused on testing, questions, and decision validation. In both cases, AI aligns store execution with shopper intent – prioritizing speed and throughput in efficiency-led formats and deeper engagement in experience-led ones.
Beyond shaping store roles and streamlining operations, AI can also address a long-standing challenge in physical retail: delivering consistent, high-quality expertise on the sales floor despite high turnover and seasonal staffing. In the past, retailers relied on heavy training investments that often failed to pay off. AI can now embed that expertise directly into frontline workflows, allowing associates to deliver confident, informed service regardless of tenure and strengthening the in-store experience at scale.
In May 2025, Lowe’s rolled out a major in-store AI enhancement called Mylow Companion, an AI-powered assistant that equips frontline staff with real-time, expert support on product details, home improvement projects, inventory, and customer questions.
Mylow Companion is embedded directly into associates’ handheld devices, delivering instant guidance through natural, conversational interactions, including voice-to-text. This enables even newly hired employees to provide confident, expert-level advice from day one, while helping experienced associates upsell and cross-sell more effectively. The tool complements Mylow, a customer-facing AI advisor launched the same year to help shoppers plan projects and discover the right products, leading to increased customer satisfaction.
While AI alone cannot solve demand challenges—especially amid macroeconomic pressure on large-ticket discretionary spending—early signals suggest it may still play a meaningful role. Location analytics indicate narrowing year-over-year visit gaps at Lowe’s post-deployment, pointing to a potentially improved in-store experience. And Home Depot’s recent announcement of agentic AI tools developed with Google Cloud suggests that these technologies are becoming table stakes in this category.
As more retailers roll out similar capabilities, those that moved earlier are better positioned to help set the bar – and benefit as the market adapts.
Beyond improving the in-store experience, AI also gives retailers a powerful way to drive foot traffic through precision marketing. By processing large volumes of behavioral, location, and timing data, AI can help retailers decide who to reach, when to engage them, where to activate, and what message or assortment will resonate – shifting marketing from broad seasonal pushes to campaigns grounded in local demand.
Target offers an early example of this approach before AI became widespread. Stores near college campuses have long tailored assortments and messaging around the academic calendar, especially during the back-to-school season. In August, these locations emphasize dorm essentials, compact storage, bedding, tech accessories, and affordable décor – supported by campaigns aimed at students and parents preparing for move-in. That localized approach has been effective in driving in-store traffic to Target stores near college campuses, with these venues seeing consistent visit spikes every August and outperforming the national average across multiple back-to-school seasons from 2023 to 2025.
AI makes local execution repeatable at scale. By analyzing visit patterns, past performance, and timing signals across thousands of locations, retailers can decide which products to promote, how to staff stores, and when to run campaigns at each location. Marketing, merchandising, and store operations then act on the same demand signals instead of separate assumptions.
Crucially, AI makes this level of localization accessible to retailers of all sizes. What once required the resources and institutional knowledge of a big-box giant can now be achieved through precision marketing and demand forecasting tools, allowing brands to adapt each store’s messaging, assortment, and execution to the unique rhythms of its community.
Beyond improving performance at individual stores, AI can also give retailers a clearer view of how their entire store fleet is working – and where it should grow, contract, or change. By analyzing foot traffic patterns, trade areas, customer overlap, and visit frequency across locations, AI helps retailers identify which sites are truly reaching their target audiences and which are underperforming relative to local demand.
AI also plays a critical role in smarter expansion. Retailers can use it to identify markets and neighborhoods where demand is growing, customer overlap is low, and incremental visits are likely – reducing the risk of cannibalization when opening new stores. By modeling how shoppers move between existing locations, AI can flag when a proposed site will attract new customers versus simply shifting traffic from nearby stores, grounding expansion decisions in observed behavior rather than demographic proxies or intuition alone.
Equally important, AI helps retailers recognize when expansion no longer makes sense. By tracking total fleet traffic, visit growth, and trade-area saturation, retailers can assess whether new stores are adding net demand or diluting performance. The same signals can identify locations where demand has structurally declined, informing rightsizing decisions and store closures. In this way, AI supports a more disciplined approach to physical retail – one that treats the store fleet as a dynamic system to be optimized over time, rather than a footprint that only grows.
The impact of AI on physical retail will vary significantly by category and format. Not every successful store experience is built around efficiency, prediction, or pre-qualification. Retailers with clearly differentiated offline value don’t necessarily benefit from forcing AI into customer-facing experiences that dilute what makes their stores work.
“Treasure hunt” formats are a clear example. Off-price retailers like TJ Maxx, Marshalls, Ross, and Burlington continue to drive strong traffic by offering unpredictability, scarcity, and discovery that cannot be replicated – or meaningfully enhanced – through AI-driven search or recommendation. The appeal lies precisely in not knowing what you’ll find. For these retailers, heavy investment in AI-led personalization or pre-shopping guidance risks undermining the core experience rather than improving it.
Similar dynamics apply in other categories. Independent boutiques, vintage stores, resale shops, and certain specialty retailers succeed by offering curation, serendipity, and human taste rather than optimization. In these cases, AI may still play a role behind the scenes – supporting inventory planning, pricing, or site selection – but it should not reshape the customer-facing experience. AI is most valuable when it reinforces a retailer’s existing value proposition. Formats built around discovery, surprise, or experiential browsing should protect those strengths, even as other parts of the retail landscape move toward greater efficiency and intent-driven shopping.
AI is forcing physical retail to evolve with intention. By creating a supportive environment for customers who arrive with made-up minds, removing friction inside the store, offering the best in-store services, and orchestrating demand with greater precision, retailers are adapting to the new world standards set by AI. All five strategies focus on aligning stores with shopper intent – what customers want, how the store supports it, and when the interaction happens.
The retailers that win in this next era won’t be the ones that use AI to simply automate what already exists. They’ll be the ones that use it to sharpen the role of physical retail – turning stores into places that help shoppers validate decisions, deliver value beyond convenience, and show up at exactly the right moment in a customer’s journey.
In the age of AI, physical retail wins by becoming more intentional – designed around informed shoppers, optimized for the right outcome in each format, and activated at moments when demand is real.
