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The last full week before Christmas (December 15th to 21st) saw massive seasonal spikes in traffic across the board, underscoring the continued importance of physical retail during the holiday season. But while visits rose broadly compared to the year-to-date (YTD) average, year-over-year comparisons tell a more nuanced story, with many traditional gifting categories experiencing modest declines relative to 2024.
Part of this softness likely reflects the calendar shift. Super Saturday fell on December 20th in 2025 but on December 21st in 2024, so 2025 holiday shoppers enjoyed an extra day between Super Saturday and Christmas to complete last-minute purchases. Yet a deeper look at the data suggests that timing alone does not tell the full story. Value-oriented retailers – including dollar stores, thrift stores, and off-price chains – saw traffic remain flat or even increase year over year (YoY) despite the same calendar shift.
So consumers are still spending, but they are trading down, actively seeking deals, and gravitating toward “treasure hunt” retail experiences rather than traditional discretionary splurges.
In a season defined by economic prudence, the most immediate winners were the retailers promising the most bang for the buck. Discount & Dollar Stores – not a traditional holiday category – saw a healthy seasonal uplift of 37.3% compared to their weekly average as well as a 3.8% traffic increase compared to 2024. In contrast, Superstores saw smaller spikes compared to the YTD average and YoY visits dips of 4.6%.
The outperformance of dollar stores suggests that shoppers were making targeted, smaller-basket trips for affordable essentials and stocking stuffers rather than relying solely on the "one-stop-shop" giants.
The "traditional" holiday categories, including apparel and electronic stores, experienced their expected massive seasonal "pop," but – like superstores – struggled to match the highs of 2024.
And while some of the decline can be explained by the calendar shift, the double-digit YoY drop in traffic to key holiday categories such as department stores suggests that timing alone does not account for the slowdown. Instead, the data indicates that consumers are still showing up to buy gifts, but are purchasing fewer items or choosing lower-priced alternatives – forcing traditional discretionary retailers to compete more aggressively for a shrinking share of wallet.
Malls showed a similar pattern, with strong seasonal traffic surges alongside YoY declines – although these YoY gaps were far smaller than in other discretionary categories. This resilience suggests that, despite headwinds facing individual retailers, the mall itself remains the central hub of the holiday shopping experience.
The off-price sector delivered one of the strongest signals this season, posting sharp seasonal traffic surges alongside modest YoY gains despite unfavorable calendar shifts. Thrift stores also stood out, recording a notable YoY increase in visits even as traffic came in slightly below the category’s YTD weekly average – likely reflecting the category’s year-round strength and its relatively recent emergence as a holiday shopping destination.
This data underscores the outsized role of value perception in shaping holiday shopping behavior and highlights the growing appeal of the “thrill of the find.” Whether hunting for a designer deal or uncovering a one-of-a-kind vintage piece, consumers increasingly favored discovery-driven experiences over the standardized assortments of traditional retail.
For retailers looking ahead to 2026, the lessons of this holiday season are stark. First, value is non-negotiable – consumers are actively migrating to formats that offer perceived savings. Second, the mall is not dead, but it is evolving. The format remains a critical seasonal traffic driver, but it must compete harder on convenience and experience. Finally, the success of the off-price and thrift sectors suggests that inventory freshness and the "treasure hunt" dynamic are powerful tools to combat consumer fatigue. As we close the books on 2025, it’s clear that while the consumer is still shopping, they are doing so with a sharper, more critical eye.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
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Black Friday has long served as a reliable anchor in the retail calendar. But some retailers place less weight on the post-Thanksgiving rush – or even opt out of it altogether – in favor of promotional windows that better align with their customers or brand values.
We analyzed foot traffic patterns at two such retailers, REI and IKEA, to see how alternative promotional strategies can shape visit performance throughout the year.
Mission-driven REI’s decision to close on Black Friday is a deliberate break from retail tradition. The brand’s long-running #OptOutside initiative reflects its commitment to outdoor activity and to the well-being of its employees, who get the day off to spend with friends and family.
The graph below highlights the foot traffic impact of the decision: while the traditional apparel and recreational & sporting goods categories experienced a sharp surge during the week of Black Friday, REI’s visits dropped below its 2025 YTD average.
Even so, the data indicates that REI still captures seasonal momentum. The retailer’s pre-Thanksgiving Holiday Sale delivered a modest visit lift that partially offset its voluntary pause on one of the category’s highest-traffic days. And REI’s post-Black Friday sales – Cyber Monday and last-minute gifts sale – appeared to do some heavy lifting for the brand, while the anticipated end-of-year sale is likely to provide an additional foot traffic boost as shoppers gear up for winter activities.
And beyond the holidays, REI follows a distinct promotional rhythm of its own, leaning into moments – like the start of summer – that reflect the seasonal outdoor needs of its customers. The retailer’s annual Anniversary Sale in May delivered the largest weekly visit spike of 2025, with demand for warm-weather gear sustaining elevated traffic in the weeks that followed. And unlike traditional apparel and recreational and sporting goods retailers, which saw a pronounced back-to-school visit surge in early August, the brand saw a smaller bump during its end-of-summer Labor Day sale.
REI’s alternative holiday cadence sets up an interesting comparison with other retailers – like IKEA – that hold Black Friday sales events but rely less heavily on the milestone than their wider category.
As shown in the graph below, the furniture and home furnishings segment received its largest visit boost of the year in the weeks leading up to and including Black Friday, as consumers likely took advantage of big sales events to spruce up their spaces in anticipation of hosting family and friends for the holidays. IKEA, however, saw just a modest November lift, with weekly visits remaining below the chain’s year-to-date average.
Instead, IKEA anchors its promotional calendar around several event-driven periods throughout the year – most notably its summer sale window from June through August, when the brand capitalizes on home furnishing demand during the peak moving season. Other events, such as IKEA’s winter clearance sale from December 2024 through early January 2025 helped stabilize post-holiday traffic at a moment when category visits softened.
REI and IKEA’s visit trends underscore the value of a promotional calendar built around brand alignment rather than conventional retail expectations. Neither retailer maximizes Black Friday in the way their respective categories do, yet both demonstrate how targeted seasonal events can cultivate consistent demand outside of traditional peak periods.
For more retail insights, visit Placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
Luxury apparel retailers have long been central to the holiday experience, carrying premium gifts for the special people in our lives and offering intricate window displays to admire while out and about. And more recently, thrift stores have also entered the holiday shopping conversation as budget-conscious and sustainability-minded consumers increasingly turn to this segment.
We dove into the data for the luxury apparel and thrift store segments to explore the trends defining each space this holiday season.
Bifurcation in apparel, which has been one of the defining themes of 2025, remains a factor during the holiday season thus far. Many consumers continue to prioritize value as inflation weighs on household budgets, while high-end segments are sustained by affluent shoppers less affected by near-term economic headwinds.
The graph below shows the latest visit trends for thrift stores and luxury apparel retailers, highlighting this bifurcation. Thrift stores have posted consistent double-digit visit growth through the second half of 2025, suggesting that economic pressure, sustainability concerns, and the appeal of the treasure-hunt experience are pushing more consumers toward secondhand shopping. And even though thrift store visits don’t generally surge during the holidays (consumers, it seems, prefer gifting from traditional retail channels), Black Friday traffic to the segment surged this year – highlighting the category's growth potential this holiday season.
At the same time, luxury retailers are also maintaining their footing, outperforming traditional apparel. With the exception of a few softer months, luxury visits have hovered near or above 2024 levels for most of the year, as higher-income shoppers continue to stabilize the segment’s performance.
With the core holiday period in full swing, both ends of the apparel spectrum appear positioned to succeed in the current bifurcated retail landscape.
The bifurcation in apparel and its impact on consumer behavior becomes even more apparent when analyzing the trade area median household income (HHI) of the thrift and luxury segments.
The chart below shows that since 2022, the median HHI of luxury apparel retailers’ captured markets has continued to rise – reinforcing the category’s growing dependence on higher-income shoppers as prices climb and more aspirational consumers shift to other segments.
And this trend is also impacting holiday consumer dynamics. Historically, the median household income (HHI) for luxury retailers dips in October and November as middle-income shoppers enter the market for gifts. However, as the sector's baseline affluence rises, the holiday audience is following suit, with the income gap between year-round and seasonal shoppers narrowing. This suggests that the traditional middle-income splurge is waning, replaced by a holiday consumer who increasingly mirrors the high-income profile of the core luxury client.
On the opposite side of the apparel spectrum, the thrift segment appears to be benefitting from the economic headwinds that have put luxury out of reach for many average-income consumers. The data shows that the segment’s captured market median HHI has inched upward since 2022 (although still below the nationwide median of $79.6K) – suggesting that some higher-income consumers are seeking price relief by trading down to thrift stores.
And while the segment's captured market median HHI also decreases slightly in October and November, the decline is less marked than for the luxury segment, indicating only limited leakage of higher-income thrift visitors during the holiday season. These trends suggest that the thrift segment is benefiting from a more price-sensitive consumer base, as its trade area continues to broaden to include a greater share of higher-income households.
Foot traffic and consumer trends across the luxury and thrift segments reveal deeper shifts in the apparel industry. For luxury retailers, a core affluent audience continues to anchor year-round performance, while the aspirational holiday shopper who once traded up for premium gifts appears less engaged than in previous years. Meanwhile, the thrift segment – and other segments traditionally catering to lower-income shoppers – seem to be benefitting from an increasingly bifurcated landscape that has expanded their reach among a wider range of consumers.
While luxury retailers can’t control macroeconomic conditions, they can double-down on the authentic, premium experiences that sustain high-income loyalty and have historically drawn aspirational shoppers during the holidays. At the same time, thrift stores can’t simply introduce premium merchandise to attract higher-income shoppers, but they can continue to invest in store operations in ways that enhance the treasure-hunting experience and strengthen their overall value proposition.
For more holiday retail insights, visit Placer.ai/anchor.
The Sacramento-Roseville-Folsom metro area is emerging as one of California’s most resilient growth stories. Between 2021 and 2023, the region added residents at a steady, if modest, pace, even as the state overall faced declining or stagnant population trends. And by 2024, the CBSA pulled ahead of the national metro average for year-over-year (YoY) population growth, outpacing major California peers including Los Angeles, San Francisco, and San Diego.
What’s driving this momentum? And how is Sacramento’s rise shaping local retail and dining trends?
One factor behind Sacramento’s rise may be its economic diversity. The metro area is over-indexed for a broad cross-section of audience segments, ranging from wealthy and upper suburban families earning more than $100K to young urban singles and professionals bringing in less than $75K. And though the area’s median household income (HHI) sits below the California baseline, the diversity of household types – each contributing different spending patterns – creates a strong foundation for continued economic growth.
Location analytics also show that Sacramento’s expanding, economically diverse population is fueling a flourishing retail scene. From May through October 2025, overall retail visits in the CBSA rose YoY, outperforming California’s state average and keeping pace with national trends. In several key categories – including discount and dollar stores, home furnishings, superstores, and traditional apparel – the metro area exceeded both state and national benchmarks, underscoring Sacramento’s rising consumer strength and regional momentum.
Greater Sacramento’s dining scene is also thriving. Fast-casual and quick-service chains overperformed during the analyzed period, reflecting the region’s growing base of young professionals, urban singles, and families who may favor convenient, affordable dining choices. And while full-service chain visits dipped slightly below 2024 levels, they represented only 12.2% of total traffic across the three dining segments for the period.
Sacramento’s broader rise is also closely tied to the vitality of the city itself. The chart below shows that out-of-market visits – defined here as visits by people who neither live nor work in the city – rose 3.5% YoY over the past 6 months. This influx includes visitors from across the metro and beyond – and HHI data indicates that, on average, they tend to be more affluent than local residents.
These visitors are drawn to Sacramento’s concentration of independent restaurants, bars, retail, and cultural hubs, including its bustling Midtown neighborhood. And a growing calendar of major annual events, from Aftershock to Farm to Fork, is also helping to supercharge local tourism and cement the city’s regional appeal.
Bolstered by investments in major new semiconductor plants and medical centers, the Sacramento CBSA was recently ranked among LinkedIn’s 25 fastest-growing U.S. metro areas for jobs and new talent. And the region’s demographic breadth, strong retail and dining performance, and increasingly magnetic urban core position it for continued growth.
For more data-driven analyses of the trends shaping America’s cities follow Placer.ai/anchor.
Retail corridors have long been central to the holiday experience, offering festive spaces for shopping and intricate window displays to admire. But retail corridors can vary significantly – some cluster large global flagship stores, while others lean into smaller regional formats and boutique-style shops, creating a more lifestyle-oriented setting for spending time with friends and family.
We dove into the data for these two types of retail corridors to explore the foot traffic trends defining each space this holiday season.
Flagship-led corridors such as SoHo in New York City and Union Square in San Francisco typically see their visitation peak in December, when consumers come to browse elegant window displays, holiday lights, and seasonal attractions – often turning a shopping trip into a full outing with friends or family. Union Square’s towering Macy’s Christmas tree, outdoor ice rink, and “Winter Walk” draw crowds looking for a quintessential holiday atmosphere. And SoHo, home to numerous high-end flagship stores, remains one of Manhattan’s most sought-after luxury shopping districts during the holidays.
Both corridors have seen rising visits throughout 2025, suggesting that their December 2025 lifts could exceed last year’s levels.
However, retail corridors that center on boutiques, independent retailers, and lifestyle-oriented offerings rather than global luxury flagships – like Back Bay in Boston and South Congress Avenue in Austin – follow a different seasonal rhythm. Rather than peaking at year-end, visits to these districts spike earlier in the calendar.
Back Bay perhaps benefits from “Open Newbury,” the summer program that closes Newbury Street to vehicular traffic and turns the corridor into a pedestrian promenade, while South Congress sees heightened activity in the spring, before the Texas heat arrives. Both have also seen solid visit growth in 2025, indicating the potential for a healthy December – even if holiday foot traffic plays a smaller role in their overall annual performance compared to flagship-led districts.
As both flagship-led and lifestyle-driven corridors head into December with solid year-to-date momentum, high street retailers have a clear opportunity to capitalize on distinct seasonal strengths. Flagship districts should be prepared for an especially pronounced holiday surge, while lifestyle-oriented corridors can focus on converting growing spring and summer foot traffic bumps into sustained engagement year-round.
For more foot traffic insights, visit Placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
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Traffic for manufacturing facilities included in the Placer.ai Manufacturing Index declined 3.5% year over year (YoY) in November 2025, indicating reduced operational intensity that may reflect fewer production shifts, lower output volumes, or scaled-back facility utilization. While part of the decline reflects calendar shifts – November 2025 contained one fewer working day than the prior year – the broader trend aligns with official data. The ISM Manufacturing PMI remained in contraction during the month, underscoring a subdued end to 2025 for the U.S. manufacturing sector.
But even as macro headwinds weighed on other parts of the economy – particularly goods production – e-commerce operators seem to be scaling capacity, expanding hiring, and investing in distribution efficiency. This momentum is reflected in visit gains to e-commerce fulfillment facilities nationwide, with November posting the strongest growth of 2025 at 6.6% YoY.
The consistent upward trajectory in foot traffic indicates that digital retail channels remain a key engine of economic activity, with robust consumer demand fueling the growth of fulfillment networks despite broader industrial softness. The steady gains through the fall in particular suggest that operators are expecting strong holiday demand and are well prepared to handle it.
The softness of the Industrial Index combined with the strength of the E-Commerce Distribution Index highlights a growing paradox: manufacturing activity is weakening even as consumer demand remains firm.
This divergence is likely due to a confluence of factors. Consumer spending may be flowing toward lower-cost online goods and everyday essentials rather than the higher-priced durable goods that drive factory output. Retailers may also be working through excess inventories and placing fewer new orders, while high interest rates make it more expensive for businesses to invest in equipment or expand production. Together, these dynamics point to a two-speed economy heading into 2026 – one powered by resilient consumption and digital commerce, while traditional production continues to recalibrate.
For more data-driven consumer insights, visit placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
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.
