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Commercial real estate’s reputation as a technology laggard is not entirely undeserved. At its core, CRE is a see-touch-and-feel industry, as much art as science. Local knowledge, intuition, and long-standing relationships continue to shape how deals get done, and that reality isn’t likely to change. Boots on the ground matter, as firsthand market insight and trust between brokers, landlords, and tenants, remain central to the business.
That context is essential when thinking about technology’s role in CRE. Tech can support and enhance decision-making, but it cannot replace the fundamentals. AI, for example, can make processes faster and more efficient, but it will not change the core of how CRE works. It will never be the tool that says, “I know a landlord who’s about to bring this space to market, and I’m getting the first look because of our relationship.”
That said, technology does have an important role to play. During COVID, when activity slowed dramatically, many organizations finally had the time to look inward and ask how technology could support faster, more resilient decision-making once the market returned. As the industry continues to invest in digital tools, three principles stand out.
Technology delivers the most value when it is guided by well-defined questions. One of the most persistent challenges in CRE’s use of technology is data fragmentation and fatigue. The industry generates enormous amounts of data, much of it spread across spreadsheets, emails, platforms, and institutional knowledge. And without knowing what you want to accomplish, that volume can quickly become overwhelming.
As shown in the chart above, for example, even when a national trend appears relatively modest, the underlying regional variation can be significant. Without a clear question guiding the analysis, it’s easy to walk away with a generic conclusion that misses where performance is actually diverging. Framed correctly, the same data becomes a tool for understanding where demand is strengthening, where it’s softening, and how strategy should differ by market.
Once the right questions are defined, the next challenge is selecting the right tools. Here again, clarity matters. There is no universal technology stack for commercial real estate. Organizations operate across different markets, asset types, and strategies, and technology needs to reflect those differences.
Thinking in terms of a recipe provides a more useful framework. The questions define the goal, and technology becomes a set of ingredients chosen to achieve it. Some tools add context, others improve precision, and others help scale insights across teams by surfacing distinct metrics and perspectives. The objective is not to find a single solution or data point that does everything, but to assemble the right combination that supports how the organization actually works.
The graph below highlights the value of layering multiple signals to understand performance. Topline visit trends offer a baseline, but adding context around visitor profile and travel patterns helps clarify what’s actually driving change. When analyzed together, these signals move analysis beyond surface-level conclusions and toward insight that can inform real decisions.
The technology best positioned to help CRE is shaped by how people actually use it. Companies that consistently learn from their users, refine inputs, expand data sets thoughtfully, and stay focused on real decision-making are far more likely to deliver lasting value.
The true test of any technology is whether it helps professionals make better decisions faster and with greater confidence while reducing risk. When insights surface quickly and are paired with on-the-ground experience and market context, data reinforces what CRE professionals already see and understand. Used this way, technology becomes a decision-support tool that facilitates de-risking and enables organizations to act at the right speed without losing sight of the fundamentals.
When analyzing mall properties, for instance, sustained weekday and weekend visit growth, paired with a broadening and increasingly family-oriented audience, can signal traffic that is more likely to endure. Identifying these deeper patterns in visit behavior helps validate assumptions, align strategy, and move forward with greater confidence, especially when paired with local market context.
As technology adoption continues, CRE leaders face an additional challenge: distinguishing between tools that meaningfully support these principles and those that generate attention without lasting value. Some technologies – like foot traffic and demographics – will become table stakes, while others will struggle to move beyond experimentation.
One area to watch is Virtual AI, including remote site visits and digital building tours. These tools may streamline early-stage evaluation and expand access, even as final decisions continue to rely on boots on the ground. Ultimately, their impact will depend on whether they reinforce the fundamentals of CRE – clear questions, practical workflows, and faster paths to confident decisions.
Since taking the reins in 2023, Gap Inc. CEO Richard Dickson has pursued a turnaround strategy aimed at reinvigorating the legacy apparel retailer, with promising results so far. Did that positive momentum carry through the end of the year? And what can location analytics reveal about the role of each of Gap Inc.’s largest banners in powering the company’s recovery?
Recent foot traffic data points to solid traffic momentum at Gap Inc. With the exception of a brief dip in December – likely driven by holiday demand pulling forward into November, along with one fewer Sunday compared to 2024 – year-over-year (YoY) company-level visits remained consistently positive over the past six months.
Throughout the period, same-store visits slightly outpaced total traffic, reflecting a more optimized fleet following the closure of several underperforming stores over the past year. Gap Inc’s robust traffic patterns also align with recent earnings commentary showing positive company-level in-store comparable sales in Q3 2025 and improving execution across Gap’s leading brands, as the company continues its strategic reset.
Looking at the company’s two largest brands shows that each is contributing to the company’s rebound in a different way. In Q4 2025, Gap slightly outperformed Old Navy on a quarterly basis, with banner-level traffic up 1.6% YoY, compared with 1.2% at Old Navy. However, Old Navy delivered more consistent monthly gains throughout the analyzed period – including in September, when Gap experienced a modest decline.
Gap’s traffic trends were notably more variable, with a stronger YoY lift in November, likely reflecting the brand’s greater sensitivity to seasonal storytelling and early holiday demand. This responsiveness was especially apparent on Black Friday, when Gap visits surged 504.4% above its 2025 daily average, compared with a still-robust but more measured 436.4% increase at Old Navy.
Old Navy’s smoother monthly performance likely reflects its role as the portfolio’s stability engine, with value-driven and replenishment trips supporting steady traffic throughout the year. Gap, on the other hand, appears to fulfill a more discretionary function, with visits responding more sharply to merchandising, marketing, and holiday timing.
Visitor behavior data for Gap and Old Navy further reinforces the two brands’ distinct positionings. Old Navy attracts longer, more frequent visits that skew toward weekdays, signaling habitual shopping tied to browsing, value-seeking, and building everyday wardrobe essentials. Gap, meanwhile, sees shorter, less frequent visits that are more likely to occur on weekends – consistent with more discretionary trips tied to seasonal needs, inspiration, or occasional splurges.
These differences between the two banners may help shape how Gap Inc. approaches its next phase of growth. In January 2026, the company leaned into “fashiontainment” with the appointment of former Paramount executive Pam Kaufman as Chief Entertainment Officer. At the same time, it has begun expanding into beauty and accessories, including the launch of Beauty Co. at 150 Old Navy locations nationwide.
As these strategies roll out, allowing them to express themselves differently across Gap and Old Navy could help maximize the strengths of each banner. At Gap, fashiontainment may lend itself to high-impact cultural moments and narrative-driven campaigns that tap into the brand’s strengths in nostalgia and storytelling – such as last year’s Better in Denim campaign featuring Katseye. At Old Navy, the same idea may be most effective through large-scale, family-friendly partnerships that reinforce its role as a dependable, mass-market destination – like the Disney collaboration launched last May. A similar dynamic could emerge in beauty, with Old Navy’s Beauty Co. supporting frequent, routine visits, and beauty at Gap reinforcing fashion authority and cultural relevance rather than driving habit.
For more insights into the consumer patterns shaping retail strategy, follow Placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
The home improvement space has faced sustained pressure from macroeconomic headwinds – including persistent inflation and a cooling housing market – prompting many consumers to delay major projects and defer big-ticket purchases. But is a category turnaround in the works? An AI-powered foot traffic analysis of the sector’s largest players – The Home Depot and Lowe’s – offers insight into whether momentum has shifted and a period of growth is on the horizon.
Both The Home Depot and Lowe's reported sales growth alongside an uptick in big-ticket purchases in fiscal Q3 2025, indicating that consumers were investing in significant upgrades despite many bigger renovations remaining on the back-burner. And the latest foot traffic data suggests that this momentum likely carried forward into the subsequent months.
In November 2025, both chains saw visit and same-store visit growth of roughly 3% year-over-year (YoY) – a sign of meaningful Black Friday traffic and a healthy start to the holiday shopping season.
And while December 2025 saw modest visit gaps, these likely stemmed in part from tough YoY comparisons to December 2024’s storm-related demand.
Traffic to both chains rebounded in the new year, with preparations ahead of Storm Fern likely accounting for some of January 2026’s YoY visit gains.
Overall, the past several months of foot traffic data paint a picture of continued positive momentum for The Home Depot and Lowe’s through fiscal Q4.
Large-scale projects may not yet be at hoped-for levels, but the data suggests consumers are still investing in their homes. And with mortgage rates trending lower, housing activity showing early signs of a turnaround, and the potential for abundant home equity to fund renovations, the home improvement sector appears poised for continued growth.
Will the home improvement space build on its successes in 2026? Visit Placer.ai/anchor to find out.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
E-commerce distribution centers outpaced brick-and-mortar retail chains in year-over-year (YoY) foot traffic growth throughout the 2025 holiday stretch. This pattern aligns with broader holiday-season data showing that e-commerce sales growth exceeded brick-and-mortar growth in 2025.
Still, physical retail continued to account for the majority of total holiday spending, and in-store visits also saw steady, positive YoY growth throughout the season. The data points to a retail environment where digital and physical channels are not competing for relevance but operating in parallel, each capturing different dimensions of consumer demand. That dynamic carried into the new year as well: January 2026 visits remained above year-ago levels for both e-commerce distribution centers and brick-and-mortar retail, rising 2.6% and 1.8% YoY, respectively.
Visits to Placer.ai’s Industrial Manufacturing Index, on the other hand, softened in January 2026, following stronger YoY momentum in December. At first glance, this decline may seem surprising: January marked a clear improvement in manufacturing sentiment, with the ISM Manufacturing PMI rising to 52.6% – its first expansionary reading in at least a year – and the Production sub-index also improving. While the ISM captures month-over-month shifts in sentiment rather than year-over-year change, a sharply improving outlook may seem inconsistent with such a steep YoY decline following a positive month.
But a closer look at the weekly data helps explain the divergence. Sentiment surveys capture outlook, orders, and expectations, while foot traffic reflects physical, on-site activity. Winter Storm Fern, which caused widespread disruptions late in the month, weighed heavily on manufacturing visits and pulled down the overall January figure. Weather events like this can meaningfully suppress foot traffic even as underlying sentiment improves – and they tend to register far more clearly in mobility data than in survey-based indicators.
Calendar effects likely contributed as well. January 2026 had one fewer working day than January 2025, a difference that can have an outsized impact on visit-based measures tied to operational and industrial activity.
Overall, the data points to an economy that ended 2025 with solid momentum across consumer-facing channels, even as early-2026 manufacturing activity reflected short-term disruption. As weather normalizes, will on-the-ground industrial activity rebound?
Follow Placer.ai/anchor for more data-driven insights into the trends shaping retail, logistics, and manufacturing.
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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Traditional department stores aren’t going anywhere. But over the past several years, the balance of power has shifted decisively toward retailers like off-price chains with the clearest value story. The latest signal of that shift came as Saks Global – parent of Saks Fifth Avenue, Neiman Marcus, and Bergdorf Goodman – filed for bankruptcy and began closing stores.
How wide has the gap between department stores and off-price really become? And what lies in store for the two categories in 2026?
The chart below shows just how dramatically the category split has changed since 2019. Pre-COVID, department stores held a slight edge, capturing just over half of visits to the two segments. But by 2025, that relationship had fully reversed, with off-price claiming a remarkable 62.9% share of visits. As consumers grow more price-sensitive and the retail landscape becomes more bifurcated, traditional department stores have struggled to articulate a clear competitive edge – while off-price continues to benefit from a straightforward, discovery-driven model.
Year-over-year data reinforces the structural strength of the off-price model. In Q4, the segment once again delivered solid gains, extending a winning streak that’s become harder for traditional department stores to match.
Notably, all four major off-price players expanded their footprints over the past year, and in each case overall visit growth outpaced per-location gains. Ross Dress for Less led the group with per-location visit growth ranging from 11.5% to 7.5% between October 2025 and January 2026. Some of that strength reflects easier baseline comparisons, but the scale of the gain still signals durable demand. Burlington delivered 9.4% overall visit growth even as per-location visits were essentially flat at -0.3%, a pattern consistent with rapid store expansion paired with steady interest at existing locations.
Meanwhile, T.J. Maxx and Marshalls turned in low single-digit gains while lapping a strong prior year: T.J. Maxx grew 2.1% per-location and 2.8% overall, while Marshalls rose 1.6% and 3.3%, respectively.
Department stores, by contrast, faced a more challenging traffic environment, with several chains continuing to shrink their footprints. Yet even within the category, performance was mixed. And the brands with the clearest identities – whether rooted in regional loyalty or premium, service-led positioning – continued to thrive.
Regional players led the traditional segment, with Von Maur seeing the most pronounced and consistent per-location growth during the analyzed period. Repeatedly ranked “America’s Best Department Store” by Newsweek, the chain has built its reputation on a differentiated, service-first in-store experience. Boscov’s, another regional operator with a loyal customer base, delivered a solid Q4 as well, even though per-location traffic dipped slightly YoY in December and January.
Among national banners, several higher-end brands also showed relative strength. Nordstrom – long associated with standout customer service – grew per-location visits by 4.2% YoY in Q4, even as overall traffic slipped 0.6% amid store closures. Bloomingdale’s posted 1.9% per-location growth. And while Saks Fifth Avenue has faced well-publicized corporate headwinds, its traffic declines remained comparatively modest in Q4.
The pressure was most visible among mid-market chains without a sharply defined value or experiential proposition. Kohl’s saw per-location visits fall 3.2%, with overall traffic down 5.0%, while JCPenney declined 3.8% and 5.5%, respectively. Macy’s, meanwhile, saw overall traffic drop as it continued rightsizing – though per-location visits held relatively steady, suggesting its turnaround strategy is beginning to bear fruit.
The Q4 data underscores a defining theme in department store and off-price retail: Consumers are rewarding clarity. Off-price is winning on value and discovery, regionals are winning on loyalty, and premium banners are holding up where the experience is distinct. In a bifurcated retail environment, the middle is the toughest place to be.
For more data-driven retail insights, follow Placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
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The success of the dollar store category hadn’t been all too surprising in 2025. However, the ability for the category to shine so brightly during the holiday season was unexpected. Traffic to dollar and discount chains was up 4.5% year-over-year in the fourth quarter, mirroring the growth of categories like off-price and wholesale clubs and overperforming compared to traditional holiday staples like apparel, department stores, beauty, consumer electronics, and home.
The retail industry doesn't traditionally think of dollar stores as a holiday shopping destination, but 2025 proved that the definition might need to change in coming years. Dollar stores have done a fantastic job at expanding their assortments and becoming a staple in consumers’ weekly shopping rotation.
Each of the major retailers saw strong traffic trends during the elongated holiday timeframe. In particular, Five Below had a strong same store visit trend over the holidays, focusing on gifting categories, holiday decor, and wrapping supplies. Dollar Tree and Five Below tend to skew their assortments towards more discretionary items, which benefitted both chains over the holidays.
The inherent value proposition of dollar stores has built trust with consumers and aided retailers in winning with shoppers whose holiday budgets might have been more constrained last year, especially with lower income households. The median household income of the largest dollar chains is lower than the average across total retail visitors, indicating that despite higher economic concerns of lower income shoppers, consumers still wanted to ensure that their holidays weren’t impacted. Brands focusing on more discretionary items like stocking stuffers and smaller gift items helped price conscious consumers to round out their holiday shopping without having to abstain from gifting all together.
For more data-driven 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.
Commercial real estate in 2026 is characterized by differentiated performance across markets and asset types. Office recovery trajectories vary meaningfully by metro, retail performance reflects format-specific resilience, and domestic migration patterns continue to influence long-term demand fundamentals.
Many higher-income metros continue to trail 2019 benchmarks but drive the strongest Year-over-year gains, signaling a potential inflection in office utilization trends.
• Sunbelt markets along with New York, NY are closest to pre-pandemic office visit levels, while many coastal gateway and tech-heavy markets trail 2019 benchmarks.
• Many of the metros still furthest below pre-pandemic levels are now posting the strongest year-over-year gains.
• Leasing velocity may accelerate in coastal markets – particularly in high-quality assets – even if full recovery remains distant. The expansion of AI-driven firms and innovation-focused employers could support incremental demand in these ecosystems, reinforcing a bifurcation between top-tier buildings and the broader office inventory.
• Higher-income metros such as San Francisco show deeper structural gaps vs 2019, perhaps due to their higher concentration of hybrid-eligible workers – yet those same metros are driving the strongest YoY recovery in 2025.
• Accelerating growth in 2025 suggests that shifting employer policies, workplace enhancements, or broader labor dynamics may be beginning to drive increased in-office activity.
• Office performance in higher-income markets will increasingly depend on workplace quality and policy alignment. Assets that support premium amenities, modern design, and tenants implementing clear in-office expectations are likely to influence sustained office visits and leasing velocity in these metros.
Retail traffic is broadly improving across states, though performance varies by region and format.
• Retail traffic growth is broad-based, with the majority of states showing year-over-year gains in shopping center traffic in 2025.
• Still, even as many states are posting gains, pockets of softer performance remain – specifically in parts of the Southeast and Midwest.
• Broad-based traffic gains indicate consumer demand is more durable than anticipated. In growth states, operators can shift from defensive stabilization to capturing upside – pushing rents, upgrading tenant quality, and accelerating leasing while momentum holds. In softer markets, the focus should remain on protecting traffic through strong anchors and necessity-driven tenancy.
• Convenience-oriented formats are leading traffic growth, with strip/convenience centers materially outperforming all other shopping center types, and neighborhood and community centers also posting gains. This reinforces the strength of proximity-driven, daily-needs retail.
• Destination retail formats, including regional malls and factory outlets, continue to lag, while super-regional malls were essentially flat. Larger-format, discretionary-driven centers are not capturing the same momentum as convenience-based formats.
• The data suggests that consumer behavior continues to favor convenience, frequency, and necessity over destination-based shopping. Operators should lean into service-oriented and daily-needs tenancy in strip and neighborhood formats, while mall operators may need to further reposition assets toward experiential, mixed-use, or non-retail uses to stabilize traffic.
Domestic migration continues to reshape state-level demand, with gains clustering in select growth corridors.
• Domestic migration drove population gains in parts of the Southeast and Northern Plains, while several Western and Northeastern states show flat or negative migration.
• Some previously strong in-migration states in the South and West, including Texas and Utah, are showing softer movement, while other established migration leaders such as Florida and the Carolinas continue to attract net inbound residents.
• Migration flows are shifting relative to prior years. Operators should temper growth assumptions in states where inflows are slowing and prioritize markets where inbound demand remains strong.
• Florida dominates metro-level migration growth, with eight of the top ten U.S. metros for net domestic migration are in Florida.
• The markets with the strongest domestic migration-driven population gains are not major gateway cities but smaller, often retirement- or lifestyle-oriented metros, suggesting that migration-driven demand is increasingly flowing to secondary markets.
• CRE operators should prioritize expansion, leasing, and site selection in high-growth secondary metros where population inflows can directly translate into retail spending, housing absorption, and service demand.
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.
