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Department stores have faced their fair share of challenges in recent years – and many of these household names are still figuring out how to remain relevant and adapt to a challenging economic environment.
With the first half of the year nearly behind us, we took a look at the visit performance for some of the major players in the department store space to understand their current standing.
As consumer budgets continue to react to the strain of rising prices, department stores are experiencing mixed visitation patterns. While luxury shoppers have, in some cases, been more insulated from the effects of inflation and rising costs, visits to high-end department stores have not been spared from this overall volatility.
However, some department stores are rallying. Visits to Nordstrom (which will be shifting to private ownership soon) and Bloomingdale’s grew by 3.3% and 2.7%, respectively, in Q1 2025 compared to Q1 2024. Meanwhile, Saks Fifth Avenue and Neiman Marcus – which recently merged – saw their Q1 2025 visits drop by -6.0% and -5.9% YoY, respectively.
Average visits per location showed more variance, with Nordstrom the only department store to experience growth in this metric (+4.1%).
Analyzing visits into April showed a continuation of the quarterly trends explored above. Nordstrom and Bloomingdale’s continued to enjoy visit growth for the most part, while Saks Fifth Avenue and Neiman Marcus visits declined slightly relative to 2024.
While Nordstrom, Macy’s, and Saks are known for their luxury offerings, several other department stores cater to a more mid-range consumer – and like their luxury counterparts, their visit performance has varied since the start of the year.
In Q1 2025, Macy’s was the sole department store among those analyzed to experience overall visit growth – though none of the chains saw their average visits per location surpass those of Q1 2024. However, April visits offered a more positive outlook, with Belk and JCPenney, in particular, showing elevated visits in all but one week of April 2025. Dillard's also displayed promising visitation patterns, with weekly visits up for two weeks of April.
And in an environment where so many department stores are struggling, the ability for these brands to keep visits near, or above, previous years’ levels suggests that this segment is enjoying stability.
Despite the challenges facing the overall retail segment, department stores are proving their staying power. The strong visit performance of some – like Nordstrom and Belk – alongside the visit declines of others highlight that the way ahead looks different for every store.
With plenty of changes – including in ownership and merchandising initiatives – coming up for many of these chains, will visits continue to grow?
Visit Placer.ai/anchor to stay ahead of the latest data-driven retail insights.
Superstores remain American retail staples, and once again, wholesale clubs were the foot traffic winners of the space in Q1 2025. We dove into the data to explore how weather and expanding footprints played a part in visitation trends for Target, Walmart, Sam’s Club, BJ’s Wholesale Club, and Costco Wholesale and how the demographic characteristics of visitors impacted in-store shopping behavior.
Wholesale clubs outperformed traditional superstores in Q1 2025, as BJ’s, Sam’s Club, and Costco saw 2.7% to 6.1% YoY visit increases. BJ’s and Costco expanded their footprints over the past year, which likely caused overall visit growth to outpace visit-per-location increases.
Zooming in on monthly visits reveals more nuanced foot traffic patterns. After a strong January 2025, February’s YoY visits were impacted by the comparison to 2024’s leap year. And despite severe weather, YoY traffic to all of the analyzed chains improved in March 2025, perhaps due to consumers stocking up on essentials in preparation for the storms.
Although Walmart and Target saw YoY foot traffic declines in Q1 2025 overall, Walmart saw a 4.5% YoY visit increase in April, while Target saw its visit gap narrow. Some of the April strength may have been due to the pull-forward of consumer demand ahead of anticipated price hikes and supply constraints.
The two chains’ improved April performance was likely also aided by pre-Easter shopping, with Walmart receiving the more sizable visit boost. Last year, Easter fell during the week of March 25th, ‘24, but this year, Easter fell during the week of April 14th, ‘25, giving Walmart a 15.5% weekly visit boost while Target benefitted from a smaller 0.9% visit lift (compared to the weekly average YTD). Clearly, Walmart is a more popular pre-Easter shopping destination and the calendar shift played a part in the chain’s YoY visit growth in April.
All three of the leading wholesale clubs – BJ’s, Sam’s Club, and Costco – carry a variety of essentials sold in-bulk, as well as products from discretionary categories such as apparel, housewares, and electronics. But diving into the retailers’ captured trade areas in Q1 2025 reveals that each chain serves a slightly different audience.
Costco tends to attract visitors from higher-income areas and larger households (including those with children and non-family roommates) than either Sam’s Club or BJ’s. And since larger households may need to stock-up on essentials more frequently, this could account for Costco’s higher average share of repeat monthly visitors, and by extension, its strong membership renewal rate.
Meanwhile, Sam’s Club and BJ’s typically attract more single-person households and visitors from lower-income areas – at least in part because singles are often younger consumers who have yet to reach their peak earning years. This clientele presents an opportunity for Sam’s Club and BJ’s to foster lifetime brand loyalty among digitally-driven Millennials and Gen Z-ers and shoppers seeking value in what remains a challenging economic environment.
Visitors to Sam’s Club, BJ’s, and Costco also exhibit different in-store shopping behaviors. BJ’s and Sam’s Club visitors appear to make quicker trips, with both brands seeing a larger share of visits under thirty minutes than Costco in Q1 2025 – which may be due to the use of time-saving self-checkout apps and curbside pickup. Meanwhile, Costco experienced a greater share of weekday visits than either BJ’s or Sam’s Club – perhaps since shoppers from larger households are likely to replenish essentials mid-week and prepare for large weekend gatherings. An understanding of these consumer preferences and behaviors could help the chains build out their retail media networks and put the right promotions in front of shoppers at the right time.
Wholesale clubs and superstores remain go-to destinations for essentials – and nearly everything else – and are likely to maintain their positions as retail powerhouses going forward. Using location analytics, brands can better understand their consumer base and hone their retail strategies to drive further growth.
For more data-driven retail insights, visit Placer.ai.
We dove into the data to explore The Home Depot and Lowe’s recent foot traffic performance, audience profiles, and consumer trends shaping what lies ahead for the chains.
The home improvement space has seen YoY traffic lag for quite some time, as sustained challenges in the housing market and tight budgets have resulted in fewer home improvement projects. Despite these trends continuing in Q1 2025, YoY visit gaps to home improvement retailers remained relatively minor; The Home Depot received 3.8% less visits in Q1 2025 than in Q1 2024 while Lowe’s received 3.6% fewer visits.
Zooming in on monthly visits reveals more nuanced foot traffic patterns to The Home Depot and Lowe’s. February’s relatively dramatic declines in YoY visits were likely impacted by the comparison to 2024’s leap year. And in spite of severe weather, YoY traffic to the chains improved in March 2025 as consumers prepared their homes for storms.
Despite Q1 2025’s lackluster performance, analysis of weekly visits suggests that there is reason for optimism in the home improvement space. In 2024, industry foot traffic peaked in mid-May – perhaps as consumers took on pre-Summer projects – indicating that the next few weeks of 2025 present an opportunity for The Home Depot and Lowe’s to drive significant seasonal traffic.
As traffic to the home improvement space begins to turn a corner, analysis of the trade areas from which The Home Depot and Lowe’s attract visitors reveals that each chain serves a slightly different mix of rural, suburban, and urban audience segments.
In Q1 2025, both The Home Depot and Lowe’s were popular among consumers in regions defined as “Suburban Periphery” and “Metro Cities” (i.e. small metro areas and satellite cities). However, Lowe’s drove higher shares of traffic from rural segments and The Home Depot from strongly urbanized ones. This audience segmentation highlights several differences between the chains’ retail footprints and the regions from which they command traffic.
Despite prevailing headwinds, the home improvement space may be gearing up for a seasonal boost, particularly if consumers feel a little wiggle room in their budgets or decide to take on bigger projects in anticipation of price hikes and supply constraints.
For more data-driven retail insights, visit Placer.ai.
Boot Barn is one of the fast growing brick-and-mortar apparel brands, with the company seeing a 13.5% year-over-year (YoY) increase in overall visits in Q1 2025. And while much of the growth is driven by the chain’s expansion, the average number of visits per location has remained stable (+0.2% YoY in Q1 2025), suggesting that Boot Barn’s expansion is catering to an existing and eager consumer base.
The company’s strength continued into April, with average visits per venue up by 3.3% YoY – the strongest increase all year – perhaps boosted by consumers’ stocking up on apparel ahead of anticipated price hikes.
For more data-driven retail insights, visit placer.ai/anchor.
Like many consumer companies, the first quarter of 2025 was a challenging one for quick-service restaurants (QSRs). Consistent with commentary from the management teams at several QSR chains that have reported first-quarter 2025 results, year-over-year foot traffic decreased amid increased economic uncertainty for consumers, with our data indicating a 1.6% decrease year over year (YoY). Major chains like McDonald's reported a 3.6% decrease in U.S. same-store sales, driven largely by reduced visits from lower- and middle-income consumers according to management. Despite efforts to attract budget-conscious diners through value promotions like $5 meal deals, many consumers opted to dine at home or shift to more affordable grocery options. However, some brands, including Taco Bell and Wingstop, managed to buck the trend by leveraging unique products and targeted promotions to drive traffic growth.
Below, we build upon our Q1 recap analyses and review year-to-date visitation trends for some of the more notable limited service chains.
McDonald's has not been immune to the increasingly challenging operating environment faced by QSR operators, reporting a 3.6% drop in U.S. same-store sales – the steepest since 2020. This reduction in guests comes amid heightened economic uncertainty and inflationary pressures, which particularly impacted low- and middle-income consumers and led to YoY decreases in visits across much of the retail sector. Our data indicated a 3.3% decrease in visits per location for the quarter, which compares favorably with McDonald’s reported results when adjusting for YoY menu price increases and product mix (an increase in McValue menu purchases has put downward pressure on the average check size). However, weekly visit per location trends have improved since the quarter ended, helped by new menu items, including chicken strips and a Minecraft-themed Happy Meal, to attract cost-conscious diners.
Chipotle Mexican Grill reported a comparable restaurant sales decline of 0.4% during Q1 2025, marking the first such drop since 2020. The comparable store sales decrease was driven by a 2.3% decrease in transaction volume, partially offset by a 1.9% increase in average check size. Our data indicated a 2.1% decrease in visits per location for the full quarter, aligning with the company’s reported results.
Like McDonald’s, Chipotle saw improved visitation trends in March, helped by the introduction of Honey Chicken Since as a protein option in March. According to management, the percentage of Honey Chicken orders as a percent of total has been higher than any other previous limited time offer and even surpassing its two-market pilot test. However, on its first-quarter update, management also called out a slowdown in underlying transaction trends during April as consumers reduced their frequency of restaurant visits amid economic concerns.
Starbucks' also faced a challenging consumer backdrop in the U.S. during its January-March 2025 quarter, with comparable store sales declining 2% year-over-year. This decrease was primarily driven by a 4% drop in transaction volume, partially offset by a 3% increase in average ticket size. Our data indicated [a 5.6% decrease in visits per location and 3.7% decrease in comparable visits]. The company attributed these pressures to decreased foot traffic and increased labor investments associated with its "Back to Starbucks" turnaround strategy. Despite these headwinds, CEO Brian Niccol expressed confidence in the ongoing transformation efforts aimed at enhancing customer experience and operational efficiency.
While Starbucks is still in the early days of implementing its turnaround strategies, competition from mid-sized chains like Dutch Bros, Scooter’s Coffee, and 7 Brew Coffee has become more pronounced. As we recently discussed, these emerging competitors experienced significant year-over-year visit increases—13.4% for Dutch Bros, 15.3% for Scooter’s, and an impressive 87.3% for 7 Brew—suggesting that consumers are increasingly drawn to unique, indulgent offerings and convenient formats such as drive-thrus. Despite Starbucks' strong customer loyalty, the rise of these agile rivals indicates a shift in consumer preferences toward more personalized and experiential coffee options.
In Q1 2025, Taco Bell's emphasis on product innovation significantly contributed to its strong performance, with U.S. same-store sales increasing by 9%. Management noted that "Taco Bell saw a significant expansion in consumer penetration" which helped the brand to grow traffic low single digits, which is consistent with our year-over-year visit per location trends shown below.
The brand introduced a variety of new menu items, including the Caliente Cantina Chicken Menu featuring a spicy red jalapeño sauce, and the Flamin' Hot Burrito filled with seasoned beef, nacho cheese sauce, and Flamin' Hot Cheetos. Additionally, Taco Bell brought back its crispy chicken nuggets, marinated in jalapeño buttermilk and coated with breadcrumbs and tortilla chips, aiming to make them a permanent menu item by 2026. These innovative offerings, alongside value-focused options like the $5, $7, and $9 Luxe Cravings Boxes, have attracted a broad customer base, reinforcing Taco Bell's position as a leader in the quick-service restaurant industry.
Conclusion
Overall, the first quarter of 2025 underscored the increasingly competitive and economically sensitive landscape facing quick-service restaurant chains. While many brands struggled with softer consumer demand and declining visit volumes, a few outliers like Taco Bell and Wingstop demonstrated the power of targeted innovation and promotional strategies. As macroeconomic pressures persist, success in the QSR space will likely hinge on a brand’s ability to balance value offerings with menu excitement, respond quickly to evolving consumer behaviors, and differentiate through experience—whether through digital innovation, drive-thru efficiency, or localized product development.
For more data-driven dining analysis, visit placer.ai/anchor.
With Google and Uber joining the ever-growing ranks of companies tightening remote work policies, employees across industries are being forced to spend more time in the office. But how much are office visit patterns really changing on the ground? Did the resurgence observed in March 2025 continue into April, or was it merely a brief reprieve from the slump seen earlier this year?
April 2025 emerged as the third-busiest in-office month since COVID, outpaced only by October and July 2024. And visits to the Placer.ai Nationwide Office Index were down just 30.7% compared to April 2019 (pre-COVID) – an improvement over April 2024. The upswing is especially notable given that Easter fell in April this year, whereas last year it fell in March. Though the holiday itself takes place on Sunday, many employees celebrate the occasion with a long weekend.
April 2025’s strong performance suggests that despite setbacks in January and February, the office recovery is back on track, with further increases potentially ahead in the coming months.
A closer look at regional trends shows significant variation across major business hubs. New York City, long at the forefront of office recovery, nearly closed its post-pandemic office visit gap in April 2025, with visits just 5.5% below April 2019 levels. Miami also performed strongly, with visits down only 15.3%. Meanwhile, Atlanta and Dallas outperformed the national baseline (Dallas, just barely), while San Francisco once again took up the rear with Chicago.
Drilling down deeper into the data for office recovery leaders, New York and Miami highlights the continued influence of hybrid work on office visitation trends, even as numbers approach pre-pandemic levels.
Nationwide, office visits recovered most strongly mid-week. But this trend was especially pronounced in nearly-recovered NYC, where Tuesdays and Wednesdays were actually busier last month than they were during the same period of 2019 – and where Thursdays were essentially on par with April 2019 levels. Meanwhile, Fridays, and to a lesser extent Mondays, remained significantly below pre-COVID benchmarks. In Miami, too, it was midweek attendance that powered the office recovery – though Fridays rebounded more strongly in the Florida hub than in New York or nationwide.
Turning to year-over-year (YoY) trends, San Francisco once again led in YoY office visit growth – suggesting that accumulating RTO mandates in the city’s tech sector may be fueling substantial recovery. Boston was not far behind, with visits up 7.4% YoY. And while most other cities also posted YoY visit growth, a few hubs – including Houston and Los Angeles – saw modest declines.
April 2025 data from the Placer.ai Office Index indicates that the renewed office recovery momentum seen in March 2025 is continuing apace – though hybrid work remains in full force. What lies ahead for offices in the months to come?
Follow Placer.ai’s data-driven office recovery analyses to find out.
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.
