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Location intelligence for Walmart and Target highlights two distinct storylines in the superstore space – one defined by sustained momentum, and the other by the early stages of a rebound.
Over the past several months, Walmart has recorded consistent year-over-year (YoY) visit growth, with same-store visits closely tracking overall traffic – suggesting that gains are being driven primarily by existing locations rather than new store openings. This trend aligns with the company’s previously reported transaction growth, reinforcing the strength of underlying demand and serving as a positive signal as Q2 2026 progresses.
Target, on the other hand, entered 2026 under pressure, as visits trailed prior-year levels in both November and December 2025 – partly reflecting continued softness in discretionary categories, which represent a significant portion of its business.
January 2026, however, appeared to mark the beginning of a notable shift, with both overall visits and same-store visits stabilizing. The months that followed brought a meaningful traffic rebound, indicating that February’s positive sales trends may have continued, and new CEO Michael Fiddelke’s turnaround strategy may be bearing fruit. These improvements are particularly noteworthy in light of ongoing weakness in consumer sentiment and the impact of energy price hikes.
An analysis of visits to both brands by day of week adds further context to their recent performance. At Walmart and Target alike, weekday visits rose sharply YoY in Q1 2026 – marking a clear improvement for both retailers – while weekend visits remained essentially flat YoY.
For Target, this stabilization in weekend visits is notable, as prior declines had weighed on overall performance. This matters because weekends tend to capture more discretionary browsing and higher-margin categories that are central to Target’s model.
At the same time, with non-essential spending under pressure, growth anchored in steady weekday demand – reflecting routine, need-based shopping trips – suggests that both brands are reinforcing their roles as essential retail destinations. A measured, but steady, start to 2026.
AI-powered location intelligence indicates that Walmart continues to benefit from steady, need-based demand, while Target appears to be regaining traction after a softer period. Whether Target can build on this early momentum and translate it into sustained growth may be one of the more closely watched dynamics in the sector in the months ahead.
For updates, 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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We're living through one of the most consequential technology shifts of our lifetimes. Generative AI is reshaping how people analyze information, make decisions, and do their work at a pace that would have seemed implausible only a few years ago. For industries like ours, where professionals rely on data to make high-stakes decisions about the physical world, the opportunity is especially exciting. Insights that once took weeks can now surface in minutes. Analytical workflows that once required specialized training can become accessible to anyone.
But that opportunity comes with real responsibility. The same capabilities that make GenAI so powerful also introduce risks such as bias, accuracy, privacy, and misuse - and those risks compound when the underlying technology is moving faster than the norms and regulations around it. The companies building with AI today are, in many ways, writing the operating rules in real time. How we choose to do that matters.
At Placer, we want to be clear about how we choose to do it. Placer doesn't build its own large language models (LLMs). Instead, we use well-established, trusted models from leading providers - the same foundation models that power the most widely adopted AI tools in the enterprise today. That's a deliberate choice. Our value to customers comes from the depth and quality of our data and the analytical expertise built around it, not from reinventing general-purpose AI infrastructure.
But not building the models ourselves doesn't let us off the hook for how we use them. If anything, it raises the bar. When we embed GenAI into our platform, whether as an analytical assistant, an automated summary, or a future agent that helps professionals move faster through their workflows, our customers trust us with the outcome. They're trusting us to pick the right models, apply the right guardrails, protect their data, and be transparent about what the technology is and isn't doing.
That's why we're publishing our Responsible AI Principles today. They're clear, concise, and they reflect how we actually operate.
The four Responsible AI principles address the issues we believe matter most to the professionals who rely on Placer every day:
Fairness and bias mitigation. AI systems can reflect and amplify existing biases in their training data. Our core defense is something we've been doing since long before GenAI: continuously validating our models, monitoring our AI practices and de-biasing outputs where appropriate.
Transparency and accountability. When we use GenAI in customer-facing features, we say so. We build feedback mechanisms into the product and treat that feedback as a real input to how the system evolves.
Privacy by design. Our AI tools are built to identify patterns about places and brands, not individuals. The same strict privacy measures that govern the rest of the Placer platform apply to every new GenAI feature we ship.
Security and safety. We are responsible custodians of our customers' data and are committed to safeguarding its integrity using industry leading standards.
We've also published a clear statement on how Placer's GenAI capabilities may be used and what restrictions we apply. These aren't new restrictions; they extend the responsible-use commitments that have always governed how our data can be used.
We're excited about the era of GenAI and about the value these new capabilities will create for our customers. The AI principles we're publishing are part of a broader effort across the company that’s grounded in a simple idea: trust isn't something we claim once and move on from. It's something we earn in every feature we ship.
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April 2025 set a high bar for movie theater performance, with A Minecraft Movie (April 4) and Sinners (April 18) driving significant spikes in foot traffic. Against this strong comparison, year-over-year (YoY) theater visits trended negative through much of April 2026. This followed a stronger March 2026, when releases like Scream 7 and Project Hail Mary – and easier comparisons – helped sustain significant YoY traffic gains
While the highly anticipated The Devil Wears Prada 2 (released May 1) did not generate a meaningful YoY uplift – given the difficult April 2025 comparison – it appears to have helped stabilize visitation trends, halting the declines seen in prior weeks.
Overall, the data reinforces that theater traffic remains highly blockbuster-driven, with consumers still willing to return to theaters when content feels like a must-see experience. With a slate of major releases ahead – including Star Wars: The Mandalorian and Grogu in late May and Toy Story 5 in mid-June – the sector is likely to see renewed spikes in visitation tied to tentpole premieres.
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.
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April data indicates positive momentum for the mall sector, with year-over-year (YoY) traffic increases across all three formats analyzed – indoor malls, open-air shopping centers, and outlet malls. This performance is particularly notable given the strong April baseline last year, when traffic rose between 3.7% and 4.3% across formats compared to April 2024.
Open-air centers came out on top, extending a trend in place since December 2025, with visits rising 3.5% YoY. This marks a return to the top growth position after ceding the lead to indoor malls for much of 2025. Indoor malls followed with a 2.2% increase, while outlet malls lagged behind, posting a modest 0.5% YoY gain in April 2025 – potentially reflecting greater sensitivity to elevated gas prices in recent weeks.
At the same time, the average visit duration declined YoY, with all formats experiencing a shift toward shorter visits (under 30 minutes) and a corresponding drop in longer visits (45+ minutes).
This divergence between rising traffic and shorter dwell times suggests that a growing share of consumers are engaging in more mission-driven trips – visiting with a specific purpose in mind rather than for extended browsing. As a result, malls may be seeing more targeted, efficiency-oriented behavior that could concentrate spend within fewer stores per trip.
Still, this shift does not signal a wholesale move away from malls as destinations: across formats, over 40% of visits continue to last more than 60 minutes, indicating that a significant segment of consumers remains engaged in longer, more experiential visits even as quick trips become more prevalent.
April’s data suggests that malls are evolving to meet a wider range of consumer needs. The combination of rising traffic and varied visit lengths suggests that malls are successfully functioning both as convenient, mission-driven retail hubs and as destinations for longer, experiential outings. This dual role may ultimately prove to be a strength, enabling operators and tenants to capture multiple trip types and occasions. If sustained, these trends position the sector for continued resilience, with opportunities to further optimize tenant mix, merchandising strategies, and on-site experiences to align with increasingly dynamic consumer behavior.
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 home improvement category has faced sustained headwinds in recent years – from elevated mortgage rates to sluggish existing-home sales and a consumer base hesitant to take on major remodeling projects. But after a prolonged stretch of year-over-year (YoY) visit declines, both Home Depot and Lowe’s have returned to growth – and the foot traffic data suggests this shift is more than just a seasonal uptick.
Both home improvement leaders closed Q1 2026 with YoY visit gains – Home Depot up 1.9% and Lowe’s up 2.0% – building on the stabilization seen in Q4 2025. This improvement aligns with their latest financial results: Home Depot reported U.S. comparable sales growth of 0.3%, while Lowe’s posted a stronger 1.3%. And for both chains, the return to positive territory suggests a long-awaited recovery may finally be underway.
Monthly data also suggests that while inclement weather contributed to the segment's strong performance in January, the underlying recovery is genuine. Home improvement benefits from unusual weather events, and January's strong gains for both chains – Home Depot +2.5%, Lowe's +3.9% – were partly fueled by Winter Storm Fern, which impacted communities across more than thirty states. But the momentum carried into February, and while growth moderated in March – and for Home Depot again in April – neither brand slipped into negative territory.
That resilience is an encouraging signal for the category during the critical spring home improvement season, particularly given renewed headwinds like rising gas prices and softening consumer sentiment. Lowe's stronger performance in April 2026, supported by easier comparisons, may also reflect its greater exposure to DIY customers tackling smaller repairs and at-home projects as consumers redirect spending closer to home.
Interest rates remain elevated and the housing market sluggish – but those same forces may now be working in the category's favor, as homeowners staying put begin to tackle a growing backlog of deferred repairs and maintenance. The bigger question is whether that momentum eventually unlocks the large discretionary projects both retailers say consumers are still holding back on – especially amid continued tariff uncertainty and elevated prices at the pump.
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.
There may be more digital entertainment than ever before, but consumers still seek out places to socialize and have fun in the physical world. And in-person entertainment venues – from stadiums to experiential viewing concepts – are attracting unique audiences that span a range of psychographic segments.
A closer look at venues in the Dallas and Los Angeles areas reveals how this diversity plays out across markets, and what it could signal for stakeholders in the business of out-of-home entertainment.
In-person entertainment includes a variety of venues and formats. In the Dallas area, legacy venues AT&T Stadium, American Airlines Center, and Globe Life Field – and eatertainment concepts, movie theaters, and “shared reality” experiences such as Cosm – are just some of the in-person entertainment options.
And in the Dallas region, AI-powered trade area analysis reveals that affluent and suburban families dominate the out-of-home entertainment scene. Across every analyzed venue and entertainment category, either Ultra Wealthy Families or Wealthy Suburban Families ranks as the top audience segment – reflecting the region's family-oriented, suburban fabric.
That said, each venue or category attracts a distinct audience mix. Cosm Dallas and the American Airlines Center over-index on Ultra Wealthy Families and draw a relatively higher share of Young Professionals than other venues. This likely reflects their premium positioning: Cosm as a novelty experience, and the AAC as an upscale urban destination where higher costs may skew attendance toward more affluent consumers.
By contrast, Wealthy Suburban Families lead at Globe Life Field (home to the Texas Rangers) and AT&T Stadium (home to the Dallas Cowboys), both of which also attract meaningful shares of blue-collar suburban audiences.
And there is clear demand for in-person entertainment among Dallas’s up-and-coming and working-class consumers. Blue Collar Suburbs and Young Urban Singles segments tend to favor eatertainment venues and movie theaters – more affordable options for going out.
Greater Los Angeles offers a similarly diverse mix of entertainment anchors: SoFi Stadium, Dodger Stadium, Angel Stadium, and Crypto.com Arena – as well as a Cosm location, eatertainment chains, and movie theaters.
However, audience segmentation for in-person entertainment in the region shows a distinct profile compared to Dallas – shaped by SoCal’s urban density and demographic diversity. Near-Urban Diverse Families represent the largest segment across every analyzed venue and entertainment category, while Wealthy Suburban Families also account for a significant share of visitors across formats – particularly at Angel Stadium, likely due to its suburban Orange County location. The prevalence of these two segments suggests that urban, middle-class family audiences are the backbone of entertainment demand in the region while higher-income, suburban households play a strong supporting role in out-of-home entertainment consumption.
Two other patterns also jump out from the data.
First, Cosm Los Angeles and Crypto.com Arena’s audiences draw more heavily from the Educated Urbanites and Ultra Wealthy Families segments, which could point to a somewhat more premium-leaning audience mix at these destinations.
Second, the Young Urban Singles segment accounts for a relatively consistent audience share across all categories – suggesting broad-based entertainment preferences. With no single entertainment format commanding outsized engagement from this young cohort, operators in the Los Angeles market have an opportunity to further tailor experiences and potentially shape future demand among this audience.
In both Dallas and Los Angeles, the composition of out-of-home entertainment audiences reflects each market’s underlying demographics and urban structure.
And yet, certain consumer segments prefer particular entertainment venues or formats over others, and understanding who shows up is critical. Operators and advertisers that tailor their offerings to the dominant segments – whether through pricing or programming – may be better positioned to capture sustained demand and attain better ROI within their market.
For more 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.
