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While a state’s share of brick-and-mortar retail visits generally tracks with its share of the U.S. population, the chart below shows that the relationship is not perfectly proportional. Some states, such as Texas and Florida, generate a larger share of retail traffic than their population size alone would suggest, while others, such as California and New York, account for a smaller portion of visits relative to their population base.
Mapping each state’s share of retail visits to its share of the population reveals a clear geographic pattern: Across much of the Sun Belt, retail visits tend to over-index relative to population, while under-indexing is more common along the West Coast and in parts of the Northeast.
Several structural dynamics may help explain this regional divide. Migration into Sun Belt markets has been driven in part by lower costs of living, and once there, households may have more discretionary income relative to high-cost coastal markets – supporting more frequent in-person shopping trips. At the same time, consumer behavior differs across regions: in higher-cost coastal and Northeastern markets, shoppers may be more likely to consolidate trips or shift spending online, contributing to fewer retail visits per capita.
For retailers and CRE professionals, these patterns suggest that a data-driven expansion strategy should account not just for population growth, but for how and where consumers choose to shop across regions.
Sun Belt markets may offer outsized opportunities for physical retail expansion, as higher-than-expected foot traffic signals strong in-person engagement and potential demand for additional brick-and-mortar supply. Conversely, in coastal and Northeastern markets, where visits under-index and e-commerce adoption is higher, success may depend more on experiential retail, premium formats, or omnichannel integration rather than footprint growth alone.
For more data-driven retail and CRE insights, visit placer.ai/anchor.
After failing to attract a buyer for its retail operations following its February 2026 bankruptcy filing, Eddie Bauer LLC announced it would close all of its stores – though the Eddie Bauer brand will continue to be sold online and through wholesale partners. The company has pointed to headwinds such as inflation and tariff uncertainty as major factors contributing to the chapter 11 filing.
But Eddie Bauer isn’t the only brand facing these pressures – and even in today’s challenging macroeconomic environment, some apparel brands are thriving. So what other factors likely contributed to Eddie Bauer’s decline? We dove into the data to find out.
Unsurprisingly, visits to Eddie Bauer’s store fleet had been declining for some time. In 2024, year-over-year (YoY) traffic to Eddie Bauer fell 9.7% compared to just 4.1% for sportswear and athleisure brands and 3.7% for traditional apparel. And although the brand’s YoY visit gap narrowed in 2025, it remained significantly larger than that of the broader categories.
Alongside the company’s explanations, commentators have pointed to other challenges – including rising competition from athleisure brands, limited traction in Asian markets, and a disconnect between the company’s typical older shopper base and the younger demographic it sought to attract. Observers have also noted that the brand’s shift toward outlet malls, as it closed underperforming full-price locations, blurred its premium identity and conditioned consumers to expect deep discounts.
But location analytics also suggest another way in which Eddie Bauer’s drift towards outlet malls may have undermined the company’s brick-and-mortar performance – a mismatch between Eddie Bauer’s core audience and that of the typical outlet mall shopper.
As retail destinations that typically require a drive and center on discretionary purchases, outlet malls tend to attract visitors from areas with higher median household incomes than the nationwide average. But Eddie Bauer’s audience appears to be even more affluent – suggesting that the brand’s core customers may not have been typical bargain-hunting outlet shoppers.
At the same time, Eddie Bauer’s audience skews older and less family-oriented than that of outlet malls overall. In 2025, households belonging to ESRI ArcGIS Tapestry’s “Mature and Retired Living” segment group accounted for more than half of the brand’s captured market – significantly higher than both the nationwide average and the share seen in outlet mall trade areas.
Meanwhile, other key outlet audiences – such as families – were substantially underrepresented in Eddie Bauer’s trade areas. And despite attempts to woo Gen Z consumers, the brand attracted relatively fewer “Contemporary Households,” a younger-skewing group that includes singles, couples without children, and other non-family households.
Retail turnarounds are far from impossible – especially for legacy brands with strong recognition. But in a retail environment with little room for error, success hinges on getting every detail right. As Eddie Bauer’s experience shows, that means keeping locations, target audiences, and positioning tightly aligned, to deliver a clear, compelling value proposition.
For more data-driven retail analyses, follow Placer.ai/anchor.
Over the past several months since our last self-storage update, the industry has remained surprisingly resilient even as its primary fuel source – housing turnover – dried up. With Public Storage's recent acquisition of National Storage Affiliates, we dove into the data to understand what's driving the category's ongoing growth.
Coming out of the pandemic, demand for self-storage facilities surged due to increased migration trends and living space downsizing trends. According to Extra Space’s December 2025 Company Presentation, 12.6% of U.S. Households utilized self-storage facilities in 2023, up from below 10% before the pandemic. Our location intelligence reinforces this data, as monthly visitation trends to self-storage chains continued to grow in 2025, albeit at a slower pace than previous years (below).
Looking ahead to 2026, can this momentum continue? Home sales have improved modestly as interest rates inched downward, but the industry has had to pivot to generate growth the past few years. With that backdrop, we’ve identified four trends that will define the category in 2026.
With fewer people moving, operators had to cut prices to attract new tenants, with "street rates" declining in recent years. According to [many operators], "street rates" for a 10x10 unit dropped 10%–15% year-over-year in 2025. To compensate, major REITs (like Public Storage and Extra Space) raised rates on current tenants. Because these tenants were also locked into their housing situations, they proved incredibly "sticky" – accepting the price hikes rather than going through the hassle of moving their goods. Our data also shows an increase in the share of frequent visitors (2+ times a month) to self-storage units, reinforcing the idea that storage has become a more embedded, utility-like part of their daily lives – and further reducing their likelihood to churn even as rents rise.
If you can't move, you improve. As migration trends and housing turnover trends have slowed, there appears to be a shift in the rationale behind why customers were renting self-storage units. Instead of "moving storage," demand has shifted toward "lifestyle storage." As homeowners renovated to accommodate hybrid work setups or cleared out spare rooms for new family members, they needed temporary space. We see this with the percentage of remote workers visiting the largest self-storage chains, which has steadily increased the past several years. In turn, this helped put a floor under occupancy rates, which have stabilized in the low-90% range for REIT-managed storage properties and in the low-80% range across all operators.
The self-storage industry is seeing regional divergence. Sunbelt markets (Phoenix, Tampa, Atlanta), which saw massive migration and development booms during the pandemic, faced a supply hangover in 2025. With too many new facilities opening just as migration slowed, these markets saw the steepest drops in pricing compared to high-barrier markets in the Northeast.
However, this “saturation" could offer opportunities within this category. Recently, CubeSmart and CBRE Investment Management announced a $250 million joint venture to acquire assets in these very high-growth markets. Their first acquisition? A property in Phoenix – the poster child for recent oversupply. This move signals a critical shift for 2026: while development is slowing, institutional capital is waking up. Major players are using this period of soft pricing to acquire high-quality assets in the Sunbelt, betting that the long-term population growth will eventually absorb the current supply glut.
While standard drive-up units remain the bread and butter of the consumer self-storage industry, 2025 saw a continued shift toward climate-controlled solutions as a key revenue driver. New development throughout 2025 and into 2026 has skewed heavily toward 100% climate-controlled facilities. As consumers store higher-value items – such as electronics, wine, and collectibles – rather than just "garage overflow," they have proven willing to pay a higher premium for strict humidity and temperature regulation.
Simultaneously, investors tracking the self-storage sector have historically looked to industrial cold storage (refrigerated warehousing for food and pharma) as a parallel play, given both asset classes benefit from similar "last-mile" logistics tailwinds. However, the 2026 outlook for the industrial side has shifted significantly.
While the rise of online grocery and pharmaceutical delivery initially made refrigerated warehousing a defensive darling, the sector is now digesting a massive pandemic-era development boom. The U.S. industrial cold storage market is currently facing a notable supply glut. As industry leader Americold recently highlighted, "[O]ver the last few years, it's in excess of 15% of incremental capacity that's been added mainly by a lot of new market entrants whose business model is to get a little bit of scale and then try to transact."
This creates a split narrative for 2026: while consumer climate-controlled self-storage continues to capture premium yields, the industrial cold storage sector is entering a period of recalibration, forcing operators to focus on absorbing excess capacity and improving efficiency rather than breaking ground on new builds. We see this in visitation trends to cold-storage leaders Americold and Lineage, where visits continue to trend downward versus 2022 as these chains see an increase in new competitors.
As we head deeper into 2026, the industry is watching for the "thaw." If interest rates moderate and housing turnover picks up, street rates could rally quickly. But until then, the name of the game is consolidation and efficiency. Expect more REITs to follow CubeSmart’s lead, partnering with institutional capital to scoop up modern, climate-controlled assets while smaller operators struggle to compete in a low-volume environment.
For more data-driven CRE insights, visit placer.ai/anchor.
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Recent McDonald's menu additions such as the annual Shamrock Shake release and the Big Arch Burger pilot appear to have generated only a modest lift in McDonald’s foot traffic. Although visits increased 5.5% year-over-year during the week of February 16th 2026 – the week of the Shamrock Shake's launch – traffic the following week dipped -0.5%, suggesting the seasonal item generated only a short-lived bump rather than a sustained lift in visits. And the heavily publicized Big Arch generated just a 2.2% YoY traffic boost during its launch week of March 2nd to March 8th 2026 – although performance may strengthen as the item gains traction with consumers.
So while these LTOs did generate modest traffic lifts for the chain, the impact was relatively muted compared to some of last year’s stronger performers, such as McDonald’s Grinch Meals. These results may suggest that consumers are becoming increasingly selective in their spending – potentially making it more difficult for QSR chains to rely on LTOs alone to drive meaningful traffic momentum without additional value-oriented offerings.
While recent LTOs delivered only modest gains on their own, pairing LTOs with a clearer value proposition – such as the upcoming McValue 2.0 – may prove more effective, with limited-time items drawing attention and value-focused offerings encouraging repeat visits. In a price-sensitive environment, this dual strategy could drive a more sustainable traffic lift than product innovation or value promotions alone.
For more data-driven restaurant 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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Confidence in physical retail remains solid this year. More than 55% of survey respondents said they feel confident or very confident about brick-and-mortar performance in 2026, while only around 20% expressed concern.
This sentiment aligns with the broader performance of the sector. The chart below shows two consecutive years of modest but positive retail visit growth, with year-over-year (YoY) gains hovering around 1%. While that pace reflects a relatively stable – rather than booming – environment, it reinforces the idea that physical retail continues to demonstrate resilience despite macroeconomic uncertainty.
Still, the results also highlight an element of caution. Nearly half of respondents reported feeling neutral or concerned about the coming year, suggesting that while the foundation for brick-and-mortar retail remains strong, industry leaders are watching economic conditions closely.
At the same time, most respondents believe online retail will continue to grow faster than physical stores. Nearly 70% said they expect e-commerce to outpace brick-and-mortar growth over the next twelve months.
This outlook is hardly surprising given e-commerce’s smaller starting point and the ongoing digital expansion across the retail landscape. But crucially, the expectation of stronger online growth does not translate into pessimism about stores. Nearly a third of respondents said they were actually more bullish on physical retail than on e-commerce.
These findings suggest the industry has moved beyond the once-dominant narrative that e-commerce would inevitably replace physical retail. Instead, the data reflects a growing consensus that the two channels are increasingly complementary – a story also supported by visit data, which shows e-commerce activity growing faster than brick-and-mortar retail even as both continue to expand. The rise of online retail doesn’t reduce the necessity of physical stores – it pushes retailers, brands, and landlords alike to develop clearer strategies for how online and offline channels work together to create a seamless consumer journey that leverages the unique advantages of each.
When we asked professionals about the role agentic AI could play in retail in the coming years, our expectation was a resounding vote for the lift it would provide e-commerce. And indeed, 44% of respondents said they expect agentic AI to increase the share of online retail.
However, reflecting the growing recognition that retail’s future lies in more harmonized commerce, 34% of respondents said they believe agentic AI will lift all boats – increasing incremental growth across commerce more broadly.
This is a significant signal. It reinforces the idea that innovation, whether centered on physical or digital shopping, is most powerful when it creates value across the entire ecosystem. Rather than viewing technology as a zero-sum competition between channels, many retail leaders increasingly see tools like AI as ways to strengthen the overall shopping experience. And that perspective makes it more likely that retailers and brands will evaluate new technologies through a broader lens that prioritizes integrated commerce.
Understanding why consumers visit stores remains central to shaping the next phase of brick-and-mortar retail. When survey participants were asked to identify the key drivers of in-store visits, tactile experiences topped the list, with nearly 80% of respondents pointing to the ability to see, touch, and try products as among the biggest advantages of physical retail. Another 70% highlighted the enjoyment of the in-store shopping experience itself – emphasizing another element that is difficult to replicate online.
At the same time, respondents expressed skepticism about some of the strategies often cited as drivers of store traffic. Only 12% identified services such as buy-online-pickup-in-store (BOPIS) or in-store returns as major traffic drivers. This suggests that while these services are important components of omnichannel retail – reflected, for example, in a growing share of short in-store visits across industries – they may not yet be fully integrated into shopping journeys in ways that maximize their potential.
Perhaps most surprisingly, only 30% of respondents said stores excel at inspiring shoppers to discover new products. Yet this capability may represent one of brick-and-mortar retail’s greatest untapped opportunities. Physical environments are uniquely positioned to spark discovery through merchandising, layout, and experiential elements – factors that can expand baskets and deepen customer engagement.
Industry sentiment also varies significantly across retail segments, with sector-level expectations closely tracking last year’s visit performance. When asked whether they expected various categories to grow, remain stable, or decline over the next twelve months, respondents were more likely to express confidence in continued growth or stability for segments that experienced stronger YoY traffic trends in 2025.
Wholesale clubs, which saw visits rise 5.0% YoY in 2025, topped the list – with 97% of respondents expecting growth or stability in the months ahead, followed by grocery stores at 96%. The strength of both sectors reflects broader consumer trends, including suburban living, increased home cooking, and a heightened focus on value and wellness.
Still, respondents are significantly more bullish on wholesale clubs than on traditional grocery stores: Breaking down the growth / stability outlook down further, 61% of respondents expect clubs to see continued growth, compared with about 35% for grocery stores.
One reason may be the club model’s ability to capture large shopping baskets. While consumers today are increasingly willing to visit multiple stores to find the best value or selection, club retailers excel at capturing a significant share of the shopping list once they secure the visit. Grocery stores, on the other hand, attract frequent trips – but these may include fewer items as shoppers spread spending across multiple retailers. This dynamic may push grocers to focus more heavily on specialization, differentiated offerings, and higher value per visit.
Mass merchandisers such as Walmart and Target also received strong confidence scores, reflecting Walmart’s recent performance and expectations surrounding Target’s ongoing turnaround strategy. Meanwhile, discount and dollar stores – another category that has performed well recently – were widely expected to remain stable, with fewer respondents predicting continued rapid growth for the sector in the months ahead.
There are few sectors we love talking about more than malls. Several years ago, the prevailing expectation was of a perpetual decline for the sector as a whole. But the “death of the mall” narrative has quickly diminished – or at least evolved. In our survey, 54% of respondents expected continued success for Tier 1 malls, while 30% anticipated decline across all mall types. Only 16% expected Tier 2 malls to perform well, and less than half of those believed that success would extend further down the tier ladder.
This largely aligns with visit data, with top-tier indoor malls driving significant success in recent years – a trend that will likely be further reinforced by the continued shift of key audiences toward the suburbs.
However, the potential of Tier 2 malls remains an area worth watching. A major part of the success of top malls has been a shift away from heavy concentrations of apparel and beauty toward more diverse tenant mixes, along with a stronger emphasis on elevated dining and experiences. This has been a critical element for the highest-performing malls. But in an environment where space is increasingly at a premium – and where less space is being dedicated to apparel and beauty in these top locations – a significant opportunity may emerge for Tier 2 malls to provide a stage for retailers that can no longer find a home in the most sought-after centers.
The result is an opportunity for these properties to become the “big fish” in smaller ponds, particularly if they focus on building tenant mixes that complement major regional players rather than compete with them directly. Executed well, this strategy could reduce direct competition while creating more destinations where consumers want to spend time.
Industry sentiment, especially when combined with visit data, offers a valuable snapshot of how retail is likely to evolve in the year ahead. Together, they point to a sector defined by steady physical retail performance, growing integration between online and in-store channels, optimism around technologies like AI, and shifting opportunities across segments from wholesale clubs and grocery to evolving mall formats.
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.
Swig, the Utah-born drive-thru concept that helped popularize customizable dirty sodas, has evolved from a regional novelty into one of the fastest-growing beverage chains in the country. Known for mixing classic soft drinks with flavored syrups, creams, and fruit add-ins – alongside cookies and pretzel bites – the brand has expanded well beyond its Mountain West roots.
This expansion is fueled by significant online hype, with new locations often generating lines that wrap around the block and leave some customers waiting over an hour to try their first drink. And as the brand pushes deeper into the Sunbelt and beyond, location analytics offer a window into how this growth is impacting traffic trends and reshaping the brand's audience.
Unsurprisingly, the data shows that as Swig has expanded its footprint, it has successfully grown its overall traffic. In February 2026, visits to the chain were 137.9% higher than in February 2023 – and up 30.7% year-over-year compared to February 2025.
The data also shows the emergence of a clear seasonal pattern, with visits to Swig peaking each year in the summer as people seek out cool soda treats to beat the heat. Notably, the magnitude of the summer peak in 2025 was larger than ever before, suggesting that as the chain becomes more mainstream, its seasonal appeal may be increasing. But the dramatic increase in off-season visits as well shows that Swig is successfully building a loyal customer base that craves its offerings year-round.
This rapid growth is also leading to a meaningful broadening of Swig’s customer base. While the chain’s trade areas still remain affluent relative to the average U.S. household, the median household income (HHI) of its captured market is dropping as it reaches a more varied demographic.
And while "Wealthy Suburban Families" and "Upper Suburban Diverse Families" remain Swig’s largest audience segments, their total share of the market has edged down as engagement deepens across additional cohorts. This includes, notably, households in Blue Collar Suburbs who are now overindexed at 8.1% of Swig’s captured market, compared to a 6.9% nationwide baseline.
As Swig continues its transition from a niche favorite to a broad staple, it will inevitably face the challenges of sustained growth, such as maintaining unit-level productivity and operational consistency. However, for now, the data and the visible excitement surrounding new openings suggest that the dirty soda pioneer still has plenty of fizz left.
For more data-driven dining analyses 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.
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.
If 2025 proved anything, it’s that the American consumer hasn’t stopped spending – they’ve just become incredibly selective about who earns their dollar. As we look toward 2026, success isn't just about weathering headwinds; it's about identifying the specific operational levers that drive traffic.
We analyzed the data to identify ten retail and dining standouts (presented in no particular order) that are especially well-positioned for the year ahead. From grocery icons mastering hyper-authenticity to fitness challengers proving that low price doesn't mean low quality, these companies have demonstrated a powerful understanding of their audience and the operational agility to meet them where they are.
Here – in no particular order – are the brands setting the pace for 2026.
When we pick retailers for our Ten Top list, there are some that rest on the edgier side and others that look fairly down the middle. Picking H-E-B, a grocer that has seen monthly visits up year over year (YoY) for all but one month since April of 2021, is clearly not one of the bolder claims. But consistent success shouldn’t preclude a retailer from receiving its well deserved kudos, and there are some unique reasons that H-E-B specifically needs to be included this year.
H-E-B exemplifies the single most important trend in retail: the need for a brand to have authenticity and a clear reason for being. The retailer understands its audience, and as a result, it’s able to optimize its merchandising, promotions, and experience to best serve that loyal customer base. This pops in the data when we see the loyalty H-E-B commands, especially when compared to the grocery average.
In addition, the chain has also embraced adjacent innovation, leveraging its existing fleet by adding True Texas BBQ to a growing number of locations. The offering not only helps maximize the revenue potential of each visit, it taps into the core identity of the brand, further deepening customer connection and authenticity. The strategy also signals H-E-B’s understanding of emerging consumer behaviors – particularly the increase in shoppers turning to grocery stores for affordable, restaurant-quality lunches. And this combination of expanding revenue channels while heightening H-E-B’s uniqueness should also carry over into the value and impact of its retail media network.
In short, H-E-B has not only identified a critical route to success, it continues to embrace channels that widen revenue potential while doubling down on foundational strengths.
In 2024, Michaels held nearly 32.0% of overall visit share among the top four retailers in the wider crafts and hobby space. By the second half of 2025, that number had skyrocketed to just over 40.0% – driven largely by the closures of key competitors JoAnn Fabrics and Party City.
And it isn’t just that the removal of competitors is increasing the share of overall visits; the rate of capture appears to be accelerating. In Q2 2025, visits rose 7.3% YoY as Michaels began absorbing traffic from Party City, which closed the bulk of its locations by March. Growth strengthened further in Q3, with visits up 13.1% YoY following the completion of JoAnn’s shutdown in May. But during the all-important Q4, traffic surged even higher YoY, suggesting that that consolidation alone doesn’t fully explain the gains.
While the tailwinds of competitor closures clearly help, there are other strategies that are helping the retailer maximize this wave. Whether it be NFL partnerships to boost the retailer’s Sunday role in American households, a push into the framing space with 10-minute custom framing, the addition of JoAnn’s branded merchandise to its offerings, or even a challenge to Etsy’s online dominance with a new marketplace – Michaels is making moves to take full advantage of their improved positioning. There is also an argument to be made that Michaels is the retailer best poised to benefit from the segment’s consolidation, given that it is also the most oriented to a higher income consumer among top players in the category. This could help unlock other more focused concepts and promotions, and better align with an audience now looking for a retail replacement.
Walmart is the dominant player in physical retail.
And they leverage this position to push forward new offerings that extend revenue potential while maximizing per-store impact. They are a pioneer in the retail media space and have been using their unique reach to push that side of the business forward. Add to that the fact that they have been among the savviest players in all of retail in identifying the ideal approach to omnichannel, utilizing their massive physical footprint to improve their reach via BOPIS and store-fulfilled e-commerce.
All good reasons for inclusion, right?
But, here’s the kicker - from a pure visit perspective, things are going from good to better. Between January and September 2025, Walmart visits were essentially flat year over year – a good position for a retailer with such a massive reach and such strength shown in recent years. Yet, since October, visits have actually been on the rise, with Q4 2025 showing a 2.5% YoY traffic increase and several weeks exceeding 4.0% YoY.
A retail giant with even more potential growth than we might have expected – and one that’s pushing the very strategies we believe are the key to future success? That’s certainly a reason for inclusion.
Including a department store again on this year’s list? It seems counterintuitive to many of the narratives that ran through 2025, especially as middle-class consumers continue to be squeezed financially. However, Dillard’s still appears to be an exception to the rule, with performance more closely aligned to that of luxury department store brands like Bloomingdales & Nordstrom than to its true competitive set.
In 2025, visitation to Dillard’s was essentially flat YoY – though the chain has consistently outperformed the wider department store category. Dillard’s stands at a unique point somewhere between a mid-tier and luxury department store, and that distinction may be its secret to success. The retailer continues to wow with strong private label offerings that rival and often exceed national brands, a diverse merchandise mix, and locations that often benefit from indoor mall traffic trends.
While Dillard’s lags behind the wider department store category, for example, in terms of repeat visitation and the share of wealthy visitors, these factors may actually create an advantage. Efforts by Dillard's to refresh its product mix through limited-edition capsule collections and new brand launches may be helping it attract a steady inflow of economically diverse new shoppers. And the ability to continually win over new segments without alienating a “core customer” could be a strength amid economic headwinds and waning consumer sentiment.
At the same time, a more diverse visitor profile means that Dillard’s can truly be the department store for many consumers, with a product range that strikes a chord with different shopper segments.
Department stores truly aren’t dead, and those who have found their reason to exist continue to garner attention with shoppers.
If the retail industry had a symbol for 2025, it was probably Labubu. The toy-and-collectible-turned–bag charm took consumers by storm in the second quarter of the year, and POP MART – the retailer responsible for bringing Labubus stateside – quickly became an overnight sensation. Visits to the chain surged over the summer at the height of the craze, while trade areas expanded as customers traveled significant distances to get their hands on a doll.
And although the frenzy cooled somewhat in early fall, visits to POP MART locations like the one in Tulalip, WA began trending upward once again in November 2025 as the holiday season approached, surging even higher in December. Trade area size also increased dramatically during the holiday shopping period, as consumers rushed to get their hands on the chain’s coveted line of festive blind boxes.
As demonstrated by the recent Starbucks Bearista craze, consumers are all-in on cool collectible items that make life more fun – a trend POP MART, strategically located in high-traffic malls popular with younger shoppers, is uniquely positioned to ride. During times of economic uncertainty, consumers crave small ways to indulge, and affordable collectibles that are cute, cuddly, and fun have worked their way into the American zeitgeist.
So, what is next for POP MART? Can it continue to sustain its momentum? It seems likely that Labubus are here to stay, at least for a little while longer, before the retailer hopefully strikes it big with the next “must have”.
When all is said and done, 2021-2025 will likely be viewed as a pivotal turning point for the U.S. coffee industry. As the country recovered from the pandemic, consumer interaction with coffee brands fundamentally shifted. With more employees working from home – bypassing the traditional pre-work coffee run – visit trends migrated to later in the morning and afternoon. Meanwhile, industry-wide dwell times shortened as consumers renewed their focus on convenience.
This move away from the sit-down café experience placed significant pressure on industry leaders, accelerating the shift toward drive-thru and mobile order-and-pay options. This moment of friction also created space for drive-thru-centric challengers like Dutch Bros, which rapidly expanded on the strength of speed and menu innovation.
Among these challengers, 7 Brew stands out as a fast-rising powerhouse heading into 2026. Expanding outward from its Arkansas roots, 7 Brew has been strategic about market entry and site selection for its unique double-drive-thru format. And with a concept that resonates with younger demographics and a footprint adaptable to various geographies, the coffee chain has become a go-to destination for rural and small-town communities, while also maintaining solid reach among more traditional coffee segments like wealthy suburbanites and urban singles. Thanks in part to this broad appeal, 7 Brew is well-positioned for future growth, even as it faces stiffer competition in new markets.
It is no secret that most of the growth in the QSR space over the past two decades has been driven by chicken concepts. Chick-fil-A, rising from a regional chain to a national player throughout the late 1990s and 2000s, was the first to disrupt the burger’s stranglehold on QSR. Raising Cane’s followed in the 2010s with a model built on menu simplicity and operational excellence, earning its place as one of the largest chains in the category. More recently, hot chicken has emerged as one of the fastest-growing segments – and Dave’s Hot Chicken is leading the charge.
No single factor accounts for Dave’s growth from a lone unit in Los Angeles to over 350 units today. Certainly, a wide assortment of sauces and flavor profiles has resonated with U.S. consumers who are increasingly seeking spicier products, while Dave’s 'rebel' brand positioning has successfully attracted younger audiences. And at a time when many QSR and fast-casual chains are abandoning urban locations in favor of suburban markets, Dave’s Hot Chicken continues to open predominantly in urban settings – a strategy that may prove advantageous as migration patterns shift back toward major cities this year.
With so much of the industry’s expansion driven by chicken concepts, it is natural to ask: Have we reached 'peak chicken'? While we are certainly seeing other categories gain traction – think CAVA – Dave’s unique product mix and edgier marketing should help it stand out, even amidst increased competition.
While many discretionary retail categories – including consumer electronics, sporting goods, home improvement, and furniture – are still waiting for post-pandemic demand to recover, housewares retailers have generally enjoyed solid visit trends in 2025. Although consumers may not be financially positioned for large-scale remodels, we are now five years past the pandemic, and many residents (many of whom still work from home) are looking to refresh their living spaces.
It may therefore come as no surprise that TJX Companies’ HomeGoods and Homesense brands had an exceptional 2025 and are well-positioned to repeat this success in 2026.
This year, we observed a behavioral shift among middle-income consumers, including a clear “trade down” from mid-tier department stores and other discretionary categories. In addition, accumulated housing wear-and-tear, the recent bankruptcies of value-oriented competitors such as Conn’s and At Home, and the enduring appeal of the treasure hunt retail model, have all reinforced the brands’ momentum. Taken together, these trends leave HomeGoods and Homesense poised for both continued unit growth and increased traffic in the year ahead.
With the heightened emphasis on health and wellness post-pandemic, fitness is proving to be a category with remarkable staying power well beyond New Year’s resolution season – even in an era of macroeconomic uncertainty. Whether it’s pumping iron, hitting the treadmill, or joining fitness classes, staying healthy no longer requires breaking the bank – for just a dollar a day or less, gymgoers can build strength and endurance, achieve their rep goals, and hit their mileage targets. And affordable fitness chains – those that charge less than $30 per month – are reaping the benefits, outperforming more expensive gyms for YoY visit growth.
Among this value-oriented fitness cohort, EōS saw outsized traffic growth in 2025, with both overall visits and average visits per location outpacing competitors as the chain expands its footprint. EōS’s motto, “High Value, Low Price,” appears to be resonating strongly – especially in a year when similar value propositions are driving momentum across off-price retailers, value grocers, and dollar stores. Longer-than-average dwell times at EōS provide another encouraging signal, suggesting that its amenities, including pools, saunas, basketball courts, and equipment assortments typically found in higher-priced gyms, are truly connecting with visitors. And since visitors who stay longer are more likely to return – and to renew their memberships – EōS is well-positioned to convert this year’s traffic gains into lasting market share.
Eating and entertainment are a match made in heaven — and by leaning into a subscription model that meets price-sensitive customers where they are, Chuck E. Cheese has solidified its position as a standout in the eatertainment category.
Nearly 50 years old, this evergreen children’s entertainment concept has stood the test of time and now boasts roughly 500 venues nationwide. Its perennial tagline – “where a kid can be a kid” – still resonates with today’s children and with the parents who grew up with the brand. After languishing for several years in the wake of COVID, the company turned things around with a revamped Summer Fun Pass launched on April 30th, 2024. The offer of unlimited play per month sparked a dramatic boost in customer loyalty, and the model proved so successful that the company extended it year-round with a family pass as low as $7.99 per month.
This strategy has helped sustain visit growth throughout 2025. Despite closing several locations during the year, visits to Chuck E. Cheese rose 8.3% YoY – well above the flat eatertainment average. And the company’s loyalty rates outpaced last year from August through November, indicating that the offering isn’t losing steam and that customers continue to respond enthusiastically.
The diversity of brands featured in this report highlights that there is no single path to success in 2026.
H-E-B and Chuck E. Cheese demonstrate the power of deepening loyalty through authentic experiences and value-driven memberships. Michaels and HomeGoods show how savvy retailers can capitalize on competitor consolidation and changing consumer spending habits. Meanwhile, Walmart and 7 Brew prove that even in saturated markets, operational innovation can drive fresh momentum.
As we move deeper into 2026, the brands that win will be those that, like the ten profiled here, combine a clear understanding of their unique value proposition with the agility to execute on it.
