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Dollar stores often benefit from consumer pullbacks – and with soaring gas prices and plummeting consumer sentiment, spring 2026 had all the ingredients for a category-wide boost.
But location analytics reveal a more nuanced picture, with Dollar General and Dollar Tree on notably different trajectories. We dove into the data to explore some of the factors behind the gap and what they reveal about today’s value-driven shopper.
Same-store visit data shows Dollar General outpacing Dollar Tree throughout the first four months of 2026, with the gap between the two chains widening as the year progressed. By March, Dollar Tree visits had slipped into negative territory (-0.6% YoY), with declines reaching -3.5% in April. Dollar General, meanwhile, maintained low-single-digit growth of 1.9% and 2.3% in March and April, respectively.
The divergence mirrors each chain’s recent sales drivers. Last quarter, Dollar General saw comparable sales growth driven primarily by increased traffic, while Dollar Tree posted ticket-driven gains – supported by the discretionary categories it has expanded through its Multi-Price 3.0 strategy. As consumer hesitancy deepened through the spring, that shift likely left Dollar Tree's traffic more vulnerable to pullback. Still, given the chain’s continued expansion and a difficult year-over-year comparison, a same-store visit dip of just a few percentage points suggests that underlying demand remains resilient.
Dollar General's hyper-local footprint has also long been a structural strength – one that likely became even more valuable in the spring 2026 environment. Gas prices climbed sharply in March, pushing the national average above $4 per gallon by early April for the first time in four years. With 12.4% of Dollar General visits originating from within half a mile of a store, compared to 7.3% for Dollar Tree, the chain was particularly well positioned to capture quick, low-drive-distance trips at a time when consumers were watching their fuel budgets.
Still, temporary headwinds aside, Dollar Tree’s stronger draw among families with children and the coveted Gen Z cohort could become a meaningful advantage as consumer conditions improve.
Dollar Tree and Dollar General have similar exposure to younger consumers and households with children across their potential trade areas, but Dollar Tree appears to do a better job converting that potential audience into actual visits. Its captured market – reflecting the parts of its trade area actually generating the most visits – is on par with or slightly over-indexes for both groups compared to its potential market, while Dollar General under-indexes.
That gap carries strategic implications for both chains. Dollar Tree’s expanded offerings in seasonal décor, party supplies, toys, and home goods may be resonating with these audiences. And though this discretionary tilt may leave traffic more exposed when budgets tighten, it also positions Dollar Tree well to capture occasion-driven and family-oriented spending as spending rebounds.
For Dollar General, meanwhile, under-indexing with those same groups highlights a longer-term opportunity to broaden its appeal among younger consumers – and drive incremental growth in the process.
The spring slowdown underscores that value retail is not immune to broader consumer pressure – and that not all dollar chains are exposed to that pressure in the same way. Dollar General's dense, hyper-local footprint gives it an edge when shoppers are watching basket size and driving costs. Dollar Tree's discretionary leaning, meanwhile, makes it more vulnerable in the near term – but its stronger pull among younger consumers and families suggests it is building relevance with audiences that could matter more in the next spending cycle.
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Five Below has thrived in recent years, riding strong demand for affordable splurges. But how did the chain hold up in early 2026, with rising gas prices and sinking consumer sentiment squeezing discretionary spending?
Five Below has continued expanding its footprint over the past year, entering the Pacific Northwest for the first time and ending January 2026 with 1,921 stores across 46 states – a net increase of 150 stores compared to early 2025.
This growth helped drive a 25.9% YoY jump in chainwide visits in Q1 2026. But same-store visits also sustained double-digit growth throughout the quarter and into April – showing that Five Below is meaningfully growing its audience at existing locations even as it opens new ones at a rapid clip. That’s a rare combination at a moment when much of retail is grappling with consumer pullback.
Five Below's same-store momentum appears closely tied to its revamped merchandising strategy. Since taking the helm in December 2024, CEO Winnie Park has integrated the company’s “Five Beyond” items – priced at $7, $10, $15, and above – throughout the main store floor. Park has also pushed sharper, more trend-focused merchandising and a marketing approach built around social discovery and creator-led engagement.
And these steps appear to be attracting higher-earning shoppers. Captured market data shows that the median household income of Five Below’s visitor base rose from $78.5K in 2025 to $80.3K in 2026 – a meaningful uptick after several years of marginal declines.
To be sure, a similar push into higher-price discretionary categories appears to have weighed on some other discount retailers, such as Dollar Tree, this spring. But Five Below has always been a discretionary-first destination – and unlike Dollar Tree, whose shoppers can shift more of their trips to Dollar General as they prioritize basics, Five Below's affordable-splurge appeal isn't easily replicated elsewhere in the value aisle.
Five Below's audience is also more distinctly local than other discretionary retail chains – an advantage as rising gas prices push consumers to rethink longer drives. Though not as hyper-local as traditional dollar stores, Five Below still pulls disproportionately from nearby neighborhoods: in early 2026, 53.8% of visits came from within five miles, compared with 47.9% for discretionary chains more broadly. That local footprint, paired with attainable price points, makes Five Below a natural choice for consumers eager to splurge on something fun even as they grow more selective about discretionary trips.
Five Below's Q1 2026 performance reflects a chain firing on multiple cylinders – expanding its footprint, lifting traffic at existing stores, broadening its demographic reach, and benefiting from a convenient presence as gas prices weigh on longer trips. In an environment marked by growing consumer caution, that breadth of momentum positions Five Below to keep outperforming through the rest of 2026.
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During periods of economic uncertainty and tighter consumer spending, demand for smaller indulgences often remains resilient. In beauty, this phenomenon is commonly referred to as the “lipstick effect” – the idea that consumers continue seeking affordable products that provide a sense of comfort, self-care, or reward even as discretionary budgets tighten.
Still, even this resilience doesn’t allow beauty chains to rest on their laurels. In 2025, both Ulta Beauty and Bath & Body Works introduced new corporate strategies aimed at driving their next phase of growth – but from very different starting points. Ulta is evolving from a position of relative strength, leaning into loyalty, discovery, and brand partnerships to sustain momentum. Bath & Body Works, meanwhile, is navigating a more uneven traffic recovery as it works to reduce its reliance on promotional peaks and expand engagement across digital and alternative channels.
How are those efforts resonating with consumers? And how are expanding e-commerce options impacting brick-and-mortar beauty visits? We dove into the data to find out.
Ulta Beauty’s has been faring well in recent months, with positive same-store and overall traffic increasing year-over-year (YoY) in nine of the last twelve months.
That consistency may reflect the impact of Ulta Beauty Unleashed – the company’s strategy aimed at deepening customer engagement and refining in-store execution, launched just over a year ago. The initiative has helped fuel continued growth in Ulta’s loyalty ecosystem, which now boasts more than 46 million members, while also creating a flywheel effect in which greater customer participation supports Ulta’s personalization capabilities that, in turn, help drive further engagement.
Ulta’s strong loyalty infrastructure also plays a role in the retailer’s ability to offer an innovative product assortment through brand-building – another pillar of the Ulta Beauty Unleashed strategy. This approach helps Ulta sustain a sense of discovery and newness within the store environment, driving consistent traffic while also creating opportunities for outsized visit spikes. This dynamic was evident in February 2026, when the launch of the Rare Beauty partnership drove record-breaking demand and contributed to a 10.3% increase in YoY visits to the chain – marking Ulta’s largest monthly traffic gain of the past twelve months.
Bath & Body Works, on the other hand, has been more reliant on promotion-driven peaks – something its leadership has been candid about since announcing its new Consumer First Formula.
Double-digit year-over-year (YoY) visit growth in July and October 2025 as well as in January 2026 aligned with periods of heightened promotional activity – including the retailer’s Semi-Annual Sales. But traffic moderated between those peaks, highlighting what management believes to be an overreliance on promotional cadences.
As Bath & Body Works CEO Daniel Heaf put it “transformations of this scale take time.” The foot traffic data suggests that the brand may still be facing near-term headwinds, with monthly YoY traffic trending down since February 2026 – although the dips may also indicate that a portion of in-store demand is shifting to e-commerce and alternate sales channels.
Bath & Body Works recently opened a new Amazon storefront, refreshed its mobile app, and lowered its free-shipping threshold, moves aimed at capturing digital demand and promoting discovery – particularly among younger consumers. And the company’s launch into campus bookstores reflects a similar effort to leverage alternative distribution channels to extend the brand’s reach and build relevance with younger consumers. These digital and alternative retail investments are designed to build longer-term engagement that could eventually translate into sustained growth for the chain.
But even as Ulta and Bath & Body Works lean into digital and alternative channels, the brands are continuing to invest in their owned stores – and analyzing shifts in visit length for the two chains offers further insight into the role stores continue to play within each brand’s broader transformation strategy.
A Q1 comparison reveals that since 2023, more than 37% of visits to Ulta lasted over 30 minutes. The retailer has been rolling out an updated store format since 2022 – designed to promote exploration with a more intuitive category-based layout. And investments in the store experience have continued with ongoing Beauty Bar activations and events, K-Beauty World shop-in-shops, and the recent Wellness by Ulta Beauty pilot, all likely contributors to a more discovery-driven customer experience and longer dwell times.
Bath & Body Works, while seeing a smaller share of visits exceeding the 30-minute mark than Ulta, posted a significant increase in visits of that length between Q1 2025 (32.5%) and Q1 2026 (34.1%). This indicates that the Gingham+ redesign introduced in 2025 – featuring scent bars, dedicated product testing zones, and a more immersive merchandising approach – may be influencing the amount of time shoppers spend in-store.
While digital and nontraditional retail channels have become critical components of modern beauty retail strategy, the in-store experience remains a key driver of customer engagement – whether a retailer is navigating a period of transformation or working to sustain long-term growth.
The data suggests that beauty retail’s next phase of growth will depend on more than category resilience alone. Both Bath & Body Works and Ulta Beauty are investing in new ways to engage consumers – from loyalty ecosystems and digital expansion to immersive store experiences designed to encourage discovery. And while their strategies differ, both underscore a broader industry reality: even in an increasingly omnichannel environment, physical stores remain central to how beauty brands build engagement and long-term consumer loyalty.
For more data-driven 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.
January and February saw a modest year-over-year (YoY) uptick in visits to the DICK’s Sporting Goods banner, while March traffic softened. However, March 2026’s visit decline appears at least partially calendar-driven – the month had one fewer Saturday than the previous year – and traffic rebounded to near-flat levels in April.
Gap entered 2026 with momentum, but foot traffic softened in both March and April – perhaps reflecting the calendar shift as well as broader consumer caution and its impact on discretionary spending. Still, the traffic slowdown may be a temporary setback. Gap continues to expand into apparel-adjacent retail categories such as beauty and accessories – with new product launches in the months ahead that could help reinvigorate visits.
Meanwhile, lululemon’s North American business continues to face headwinds, as domestic performance lags behind stronger international results. Yet, the company – still searching for a new CEO – is guiding for a turnaround in the second half of 2026. Planned initiatives include new product introductions, reduced reliance on markdowns, and ongoing store expansion. Whether visit trends begin to reflect that anticipated recovery will be closely watched as the year unfolds.
For more data-driven 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.
The first four months of 2026 have been challenging for department stores, as consumer caution and rising gas prices weigh on discretionary spending. But visit data reveals a clear divide between chains gaining traction and those continuing to lose ground – offering a window into what’s working in today’s environment.
Looking at quarterly performance, Midwestern chain Von Maur stood apart from the field in Q1 2026, posting an 8.7% increase in overall visits and a 5.9% gain in average visits per location – the strongest performance in the segment on both measures.
Von Maur’s appeal can be attributed in part to a tightly controlled model that prioritizes service, brand curation, and pricing consistency over scale and promotions. And as a regional favorite in the Midwest, the brand benefits from a well-established customer base.
Other players with similar positioning also showed relative strength in Q1. Mid-Atlantic and Northeast regional favorite Boscov’s outperformed several larger national chains, while Nordstrom saw average visits per location increase 1.6% year over year – suggesting continued traction for curation-led formats. Saks Fifth Avenue and Bloomingdale’s also held steady, reinforcing the resilience of higher-end department stores even as Saks navigates bankruptcy proceedings.
Still, monthly data highlights just how exposed the department store segment is to discretionary, time-rich shopping trips, which tend to concentrate on weekends – and which consumers may be pulling back on in 2026.
In Q1 2026, Saturdays accounted for more than a quarter (25.4%) of department store visits, well above both the 17.4% average for non-discretionary brick-and-mortar retailers and the 21.6% average for discretionary chains. As a result, March 2026 – which had one fewer Saturday than March 2025 – saw visits soften across the board.
April, however, painted a more encouraging picture. With the calendar normalized, several chains returned to flat or positive year-over-year same-store visit trends. Von Maur led once again with an 8.5% increase, while Nordstrom (+0.9%) and Bloomingdale’s (+1.7%) also posted gains. Macy’s, as it advances its Bold New Chapter strategy, saw its year-over-year visit gap narrow to 2.4% in April. As the chain continues to close underperforming locations and invest in its Reimagine 125 cohort, performance may improve further in the months ahead.
Department store performance in Q1 2026 reflected today’s increasingly bifurcated landscape, where premium, experience-driven retailers continue to draw shoppers even amid broader caution, while mid-market chains remain more exposed to macro pressure. Even in a constrained environment, consumers are still willing to show up for brands that offer a clear, compelling experience – but that bar is rising, making it harder for less differentiated players to keep up.
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.
When consumers get cautious, off-price gets busy. And as shoppers continued trading down in Q1 2026 amid rising gas prices and tariff-driven uncertainty, Ross Dress for Less stood out as a top performer, capturing demand from consumers seeking the deepest discounts.
Off-price’s momentum is most visible in its widening lead over department stores. The category captured 65.7% of combined visit share in Q1 2026, up from 62.2% in Q1 2025 and just 56.2% in Q1 2022. These steady, multi-year gains underscore a structural shift in where consumers are choosing to shop – one that continues to accelerate as value becomes a central decision driver.
While part of off-price’s growth stems from ongoing fleet expansions – even as department stores shrink their footprints – the data also points to steady, and in some cases rising, same-store performance.
Ross Dress for Less, for example, has seen double-digit same-store visit gains in recent months, consistent with its most recent earnings report of a 9% year-over-year (YoY) increase in comparable sales, primarily driven by traffic. Its no-frills, ultra-low pricing often undercuts the rest of the off-price segment – making it particularly attractive in today’s increasingly needs-based shopping environment. And with no e-commerce channel to divert demand, every transaction runs through the chain’s physical stores.
At Marshalls and TJ Maxx, the core strategy remains what it has always been: opportunistic buying at scale paired with a slightly more elevated treasure-hunt experience that keeps customers coming back. And in Q1, the banners delivered low single-digit overall visit growth, with modest gains in visits per location.
Performance, however, was uneven across the quarter. After a February lift – helped in part by easier comparisons – March same-store traffic turned slightly negative, reflecting both a calendar shift (one fewer Saturday) and broader consumer caution. That softness largely continued into April, though TJ Maxx saw a modest 0.4% YoY uptick. Marmaxx's higher price points and more brand-forward assortment likely make it more sensitive to discretionary pullbacks than Ross – while its e-commerce presence could also be absorbing demand as higher gas prices shift some shopping online.
Even so, Marmaxx remains in a position of structural strength. Its network of more than 1,400 buyers sourcing from over 21,000 vendors worldwide provides unmatched flexibility – particularly as tariff-related disruptions push excess inventory into the market. And as consumer sentiment rebounds, traffic growth is likely to follow.
Burlington, meanwhile, posted an 7.7% overall increase in visits in Q1, largely driven by its rapidly expanding store base, even as per-location traffic declined 2.1% YoY.
The company’s elevation strategy – focused on improving assortment quality with more recognizable brands and higher quality products – has delivered solid results in recent quarters. But with consumers pulling back on discretionary spending, the elevated assortment may be temporarily finding a smaller audience – a dynamic likely amplified by Burlington’s more value-oriented customer base compared to peers.
Still, Burlington’s positioning leaves it well placed to regain momentum when conditions stabilize. And given the current environment, strong overall traffic growth coupled with modest same-store declines represents a relatively resilient performance.
When economic pressure builds, off-price tends to win. And though Ross may be leading the pack today, Marmaxx and Burlington are both well positioned to regain strong traffic momentum as conditions evolve. With consumer confidence still strained and excess inventory likely to remain plentiful, the structural tailwinds supporting off-price remain firmly in place.
For more data-driven 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.
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.
