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The arts and crafts sector is undergoing a major shakeup. Party City shuttered all corporate-owned stores early in the year after filing for bankruptcy, and by May, JOANN had closed its doors as well. But what could have been a moment of contraction for the largely discretionary category has instead accelerated growth for its strongest players. The industry is consolidating around two leaders – Hobby Lobby and Michaels.
What explains the continued strength of these two banners? And how are they positioning themselves to capture share in a reshaped retail landscape? We dove into the data to find out.
Despite its discretionary nature, crafting is flourishing in 2025. Screen-fatigued consumers are embracing hands-on, mindful projects like knitting, embroidery, and DIY décor as creative outlets and stress relievers. At the same time, crafting serves a practical role, producing inexpensive gifts and home decorations that help households stretch budgets while delivering creative satisfaction.
And Hobby Lobby and Michaels are making the most of this opportunity. Since April 2025, both chains have posted consistent year-over-year (YoY) visit growth, expanding their footprints while also driving more visits to existing locations. And with JOANN and Party City out of the picture, both retailers appear poised to capture displaced demand and further cement their leadership.
Each retailer is following a different path to success.
Michaels has leaned aggressively into the category's realignment. The company acquired JOANN's intellectual property and private-label brands to broaden its assortment and has moved quickly into Party City's vacated territory with an expanded lineup of balloons and party goods. Michaels is also doubling down on in-store experiences like birthday parties and leaning even more heavily into seasonal products – including for Halloween, Party City’s traditional stronghold.
This latter move could prove especially powerful during the upcoming spooky season. Halloween was historically Party City’s busiest period of the year, with October 2024 visits surging nearly 95% above the chain’s monthly average. With Party City gone – and Michaels already rolling out its “Summerween” offerings – the retailer looks well-positioned to capture some of that seasonal momentum and emerge as one of Halloween’s new retail destinations.
Hobby Lobby, by contrast, has stuck to its proven strategy of steadily expanding a nationwide fleet of large-format stores with broad, affordable selections. And this approach continues to pay dividends.
Though Hobby Lobby doesn’t really do Halloween, it carries plenty of seasonal decorations – which have traditionally driven substantial holiday visit boosts from November (see graph above). Hobby Lobby’s immersive environment also encourages extended browsing sessions, leading to longer visits. Between May and July of this year, shoppers averaged 31.4 minutes per trip to Hobby Lobby compared to 25.5 minutes at Michaels. The chain also leads in loyalty: Over the same period, 21.5% to 23.3% of visitors shopped at Hobby Lobby at least twice per month, a significant increase from last year.
Far from being sidelined as a discretionary indulgence, crafting has become an outlet for creativity, mindfulness, and affordability – and the shakeout of weaker players has only sharpened the advantage of category leaders. With Michaels pushing boundaries through innovation and seasonal dominance, and Hobby Lobby deepening loyalty through scale and consistency, both banners are positioned to ride the craft retail wave well into the future.
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.
Black Rock Coffee Bar ended its NASDAQ debut in September 2025 at a market valuation of $1.32 billion – a remarkable showing for the relatively young coffee chain.
We took a closer look at the data to see what sets Black Rock apart from its competitors – and what might be fueling its remarkable valuation and early surge in share price.
Black Rock Coffee Bar, which was founded in Oregon and is currently based in Arizona, has been on an impressive growth trajectory– between 2020 and 2025, the chain doubled its unit count, and the company is now targeting 1,000 locations by 2035.
Fueled by its aggressive expansion, Black Rock’s traffic has surged since 2019, with Q2 2025 visits up 226.5% compared to Q3 2019. These trends echo the trajectory of Dutch Bros – another rapidly growing coffee chain founded in Oregon – whose growth path since 2019 closely mirrors Black Rock’s, as shown in the graph below.
Despite their shared origins and similar growth trajectories, the two chains draw distinct audiences. Dutch Bros tends to attract visitors from less affluent neighborhoods, both nationally and within Oregon – due in large part to its typically younger audience – whereas Black Rock Coffee’s customer base skews more affluent than the median in both contexts.
This contrast suggests that the coffee space has ample room for two Oregon-founded chains to scale quickly, as each taps into a distinct segment of the market with complementary growth potential. Dutch Bros can lean into accessibility and mass-market appeal, while Black Rock is positioned to build loyalty with higher-income consumers, potentially supporting premium offerings, differentiated experiences, and stronger long-term margins.
Focusing on recent months shows that – although Black Rock Coffee is maintaining overall positive visit growth – average visits per location have slipped slightly, as seen in the chart below. What does this mean for Black Rock Coffee's future?
Overall traffic is still climbing and new stores are expanding the brand's customer base, so the slowdown appears to be a short-term adjustment rather than a hard ceiling. But the dip in visits per venue may indicate that the chain is beginning to saturate its traditional western and southern markets – signaling that further growth may depend on expansion into new states and DMAs.
Black Rock Coffee's growth is reminiscent of that of Dutch Bros, and demographic differences between their audiences create room for both chains to continue expanding – though Black Rock's softer per-location trends bear watching as it expands. Still, the chain’s affluent customer base provides resilience and supports long-term growth, helping explain Black Rock Coffee's premium valuation and early market enthusiasm.
For the most up-to-date dining data, check out Placer.ai’s free tools.
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.
East and South Asian grocery chains continue to perform well, with YoY visits outperforming the broader grocery segment in most cases, as seen in the chart below.
One factor behind the success of specialty grocery chains is their ability to serve as true destinations rather than just another place to pick up groceries, as visitor behavior data suggests that these grocers engage their visitors more deeply than traditional grocery chains.
Shoppers spend more time in these specialty grocery stores (27 to 41 minutes per visit on average compared to 23 minutes at traditional supermarkets). Consumers are also more likely to visit on weekends – the grocery category as a whole receives less than 33% of its visits on weekends, compared to H Mart, 99 Ranch Market, Mitsuwa Marketplace, and Patel Brothers where 39.3% to 42.4% of visits take place over the weekend. Together, these patterns reinforce the positioning of East and South Asian grocers as experiential, destination-driven retailers rather than routine errand stops.
Looking ahead, some chains are working on opening more stores, with H Mart slated to open four new locations in Florida, Texas, and California, while 99 Ranch just opened its first New York City location. These expansions signal continued momentum in both established and new markets.
The success of Southeast and East Asian grocers may highlight a broader consumer shift: shopping trips that feel purposeful, engaging, and even entertaining are increasingly valued in an age where routine purchases can be easily fulfilled online. Traditional grocers looking to tap into this trend may need to rethink their formats, merchandising, and in-store experiences, potentially leaning more into specialty assortments, foodservice options, or community programming. More broadly, for retailers of all types, the success of Asian grocers illustrates the growing importance of creating destination-driven experiences that transform shopping into an outing rather than a chore. Retailers who cultivate environments that invite discovery, linger time, and weekend traffic may find themselves better positioned to capture both customer loyalty and discretionary spending.
For the latest up-to-date grocery trends, check out our free tools.
Costco (COST) has maintained an impressive growth streak since the pandemic, with visits up year-over-year (YoY) every quarter since Q2 2021, as shown in the chart below.
Importantly, although the retailer has expanded significantly during this time, this growth has not been fueled by expansion alone: Same-store visits have also consistently increased during this period – indicating that the retailer is driving more traffic to existing stores and quickly building strong member bases at its new warehouses.
The latest data suggests that Costco has no plans of slowing down. Overall visits continued to grow in 2025 while same-store visits increased or held steady. And even as brick-and-mortar retail traffic softened over the summer, Costco bucked the trend: August 2025 traffic to Costco grew 5.5% YoY while same-store visits rose 4.0% – likely boosted by back-to-school demand.
In-store consumer behavior also highlights Costco's consumer appeal. Visitors to the chain spend considerably more time per visit than visitors to other superstores or grocery chains. This longer dwell time not only increases the likelihood of larger basket sizes, but also highlights the effectiveness of Costco’s curated merchandising strategy that offers consumers an engaging experience while encouraging cross-category shopping.
Macro conditions may help Costco grow even further in the near future. Gas prices have fallen recently, reducing the cost of driving to warehouse clubs often located outside dense residential areas. Grocery inflation has cooled as well, relieving pressure on households that might have pulled back from bulk purchases, while keeping value top of mind. Together, lower fuel costs and moderating food prices reduce friction and reinforce steady trip frequency to value-oriented, drive-to formats like Costco.
Looking ahead, Costco’s combination of consistent traffic growth, favorable macro conditions, and industry-leading in-store engagement underscores its resilience in a challenging retail environment. For investors, these trends point to continued revenue durability supported by membership economics and strong spend-per-visit. For retailers, Costco offers a blueprint: build loyalty through value and elevate engagement with experience. This approach has made Costco not only a standout performer today, but also one of the best-positioned retailers to sustain growth into the next cycle.
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 state of the consumer was top of mind during second-quarter 2025 earnings calls, as restaurant executives consistently described a more cautious and discerning customer. Leaders from major brands like McDonald's, Chipotle, and Starbucks noted that lower-income consumers, in particular, are feeling the pressure of a challenging economy and are pulling back on the frequency of their visits.
McDonald’s CEO Chris Kempczinski framed it as a "two-tier economy," where affluent consumers continue to spend while lower-to-middle income households face significant cost-of-living pressures. This trend is visible in visitation data, which shows quick-service (QSR) and fast-casual restaurants underperforming full-service restaurants and coffee chains in recent months.
This consumer caution has led to a "trade-down" effect, where customers actively seek value-oriented promotions or skip add-ons like a beverage to manage their check size. In response, brands are emphasizing affordable meal bundles – like McDonald’s Extra Value Meals and Taco Bell’s Decades Y2K throwback menu featuring fan-favorites under $3 – and leveraging their loyalty programs to retain these budget-conscious patrons.
As 2025 progresses, QSRs face intense competition not just from each other, but from a growing array of value-oriented retailers. Driven by rising menu prices at fast-food chains, highly price-conscious consumers are actively seeking more affordable meal options. Value-oriented grocery stores, dollar stores, and convenience stores have aggressively expanded their grab-and-go and prepared food offerings, making them direct rivals for lunch and dinner.
As the price gap between dining out and eating at home widens, these channels are successfully capturing a greater "share of stomach," particularly from consumers who now view a trip to the grocery or dollar store as a more economical alternative to a QSR visit. We see this in our visitation data, where the number of McDonald’s and other other QSR visitors are increasingly visiting Aldi and other value-oriented options.
The lunch hour has become a key battleground, with fresh-format and value grocers seeing a notable increase in foot traffic as they expand their high-quality, convenient, and affordable grab-and-go options. This has siphoned off a portion of the traditional lunch crowd from fast-casual restaurants, as consumers – particularly office workers – increasingly opt for a trip to the grocery store.
This pressure contributed to weaker-than-expected results for premium fast-casual chains like Chipotle, Sweetgreen, and CAVA. While these brands were up against tough comparisons from product launches a year ago (Chicken al Pastor for Chipotle, steak options for sweetgreen and CAVA), the slowdown was more significant than anticipated.
What’s to make of this slowdown? In addition to tougher comparisons, the explanation is likely a multi-faceted consumer response to a challenging economic environment and a crowded marketplace. Like QSR chains, many budget-conscious fast-casual customers began trading down, either opting for less expensive fast-food alternatives or simply reducing the frequency of their visits to these pricier lunch spots.
At the same time, a segment of their health-conscious consumer base increasingly turned to specialty grocers like Whole Foods and Trader Joe's, where they could assemble their own high-quality bowls for a lower cost. Compounding the issue was a growing sentiment of "slop bowl" fatigue, a perception that the once-innovative format had become commoditized, with little differentiation between the chains, leading some consumers to seek out more unique dining experiences.
Chili's continued its significant outperformance of the restaurant industry in the second quarter of 2025 by successfully executing a multi-faceted strategy centered on a compelling value message that resonated with increasingly price-conscious consumers. The brand's success was largely driven by the popularity of its heavily marketed "3 for Me" bundled meal deal and its "Triple Dipper" appetizer promotion, which together attracted a surge of new and repeat customers. This effective value messaging was supported by substantial investments in marketing and crucial back-of-house operational improvements, which enhanced food quality and service consistency, allowing Chili's to capture a significant share of visits while many competitors in the casual dining space struggled with declining traffic.
It’s not just Chili’s however. Applebee's, for instance, managed to drive a 4.9% increase in same-store sales during its most recent quarter, a significant turnaround attributed to its own value-driven promotions and menu innovations that successfully boosted customer traffic. Olive Garden delivered a solid performance in its most recent quarter, achieving a 2.0% increase in same-restaurant sales. This growth was largely fueled by the success of its value promotions and a significant nearly 20% surge in takeout sales, which helped attract a younger, more frequent customer base according to management.
As the restaurant industry moves into the second half of 2025, the second quarter's results paint a clear picture of a market defined by a strategic, value-seeking consumer. The resounding success of casual dining chains like Chili's and Applebee's, which leaned heavily into affordable, bundled meals, demonstrates that a compelling value proposition can still drive significant traffic and sales. Conversely, the fast-casual and QSR segments are facing an identity crisis, squeezed by intense competition from lower-priced grocery and convenience store alternatives and the aggressive promotions from sit-down restaurants.
Ultimately, the brands that will thrive for the remainder of the year will be those that can master the art of delivering a strong, clear value equation – whether through price, experience, or convenience – to a customer who is more discerning with their dining dollars than ever before.
For more data-driven insights, visit placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
Since June 30, 2025, Costco has offered Executive members an extra hour to shop at many warehouses, and by September the perk expanded company-wide. Traffic data shows that the extended hours are already reshaping shopping patterns, with measurable impacts on both visit timing and dwell times.
The chart below compares Costco visit patterns between April and June 2025, before extended Executive Member hours were introduced, with July and August 2025, when most warehouses began offering exclusive early access from 9:00 AM to 10:00 AM. The additional morning hour appears to have encouraged some Executive members to shift their trips earlier in the day, which in turn reduced traffic concentration during late-morning and afternoon peaks.
This redistribution helps create a more balanced flow of visitors, likely improving the shopping experience for members overall.
The impact of early openings extends beyond when members shop – it also affects how they shop. The chart below, which tracks visit lengths before and after the introduction of early Executive openings, shows that the share of Costco visits lasting 30 to 45 minutes increased in July and August while the share of visits lasting 45 to 60 minutes fell.
This shift suggests that early-access shoppers are more purposeful and efficient, taking advantage of lighter crowds and easier store navigation. Importantly, Costco did not assign additional staff hours to cover the new morning window – a decision that seems to be validated by the data. With members shopping more efficiently, the company managed to enhance customer experience without increasing operational costs.
A Win-Win for Members and Retail Operations
By extending special hours to Executive members, Costco not only rewards high-value customers but also reduces congestion during traditional peaks. The smoother distribution of visits and more efficient shopping trips underscore how strategic adjustments to operating hours can drive meaningful changes in consumer behavior.
As retailers navigate evolving shopper expectations, Costco’s example highlights the power of data-driven scheduling to enhance both customer satisfaction and operational efficiency.
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.
