.svg)
Forget water, soda, or tea – coffee reigns supreme in the United States. A recent study reveals that coffee surpasses even water as the nation's most consumed beverage. This continued demand is fueling a robust coffee shop sector that continues to thrive despite economic headwinds.
We took a closer look at industry-wide trends to understand how the segment is performing.
The coffee segment has seen consistent visit growth over the past few years, demonstrating remarkable resilience – a trend fueled by steady consumer demand. Analyzing the baseline change in quarterly visits from Q1 2019 underscores this growth – and also reveals distinct seasonal patterns.
Visits to coffee shops plummeted during the pandemic, as consumers hunkered down at home and many independent coffee shops went out of business – but swiftly rebounded as consumers sought affordable luxuries and a sense of normalcy. Between 2021 and early 2024, coffee foot traffic continued to climb, as chains from Starbucks to Dutch Bros expanded their footprints. The visit growth followed a fairly predictable seasonal rhythm, slowing in the first quarter of the year and peaking in Q4. But though visits in Q4 2024 were slightly higher YoY, they remained relatively flat compared to Q2 and Q3 2024, possibly signaling that the industry may be reaching a plateau.
Looking at the data by region reveals that coffee shop visit growth has been widespread throughout the country, with most CBSAs experiencing growth relative to 2023.
Some areas – like parts of the Midwest and South – experienced especially pronounced growth, suggesting heightened interest in coffee chains in these regions. Coffee visit growth in the South in particular may be partially a reflection of greater market penetration following chain expansions and inflows of domestic migration over the past several years. And while some areas of the country saw YoY declines, most CBSAs saw continued growth, highlighting the consistent appeal of coffee chains across a wide range of markets.
There are hundreds of coffee shops nationwide catering to every kind of coffee drinker – from chains with 2-3 locations specializing in artisanal blends to major players like Starbucks and Dunkin'. And diving into the visit split between small, mid-sized, and large coffee chains shows that mid-sized coffee chains – many of which are drive-thru focused – are gradually claiming a greater share of the market.
Between 2019 and 2024, the share of visitors to mid-sized coffee chains grew from 10.8% to 17.6%. Some of this growth can be attributed to Dutch Bros’ ascendance – but other fast-growing coffee chains like BIGGBY Coffee are contributing to this growth.
Smaller coffee chains also saw their visit share increase, albeit more modestly, from 3.2% in 2019 to 4.4% in 2024. This trend suggests that, while Starbucks and Dunkin' continue to dominate, there remains plenty of room – and interest – for smaller, independent chains to thrive.
Indeed, diving into visitor behavior at small, mid-sized, and large chains highlights the distinct niches these segments effectively fill. Between 2023 and 2024, short visits (<10 minutes) increased more than longer visits at mid-sized and large chains, while large chains actually saw a drop in longer visits, likely a result of increased emphasis on drive-thru and mobile ordering.
Meanwhile small chains saw a greater YoY increase in long visits (+13.4%) than in short ones (+9.1%), suggesting that smaller coffee shops are increasingly filling the niche of a relaxed, destination-oriented experience.
These shifts highlight the different needs that coffee shops can fill within a community, with some offering speed and convenience, while others can meet the desire for a relaxed and personalized coffee experience.
The success of the overall coffee segment highlights the continued consumer demand for affordable luxuries even as economic uncertainty persists, and the benefits of a diverse market that accommodates different visitor needs.
Will the coffee segment continue to thrive into 2025? Visit Placer.ai for the latest data-driven dining insights.
College students make up a small portion of the U.S. population, but they wield an outsize influence in the consumer market. Despite being notoriously budget-conscious, collegians value enjoyment and willingly splurge on experiences. And as tomorrow’s affluent consumers, today’s college students can deliver big future rewards for brands that successfully build lasting relationships with the segment.
So with spring break upon us, we dove into the data to see how today’s college crowd allocates its dining dollars. Where do they like to eat out? And how can brands best cater to their preferences?
Tight budgets notwithstanding, students are always on the hunt for delicious treats that don’t break the bank. And while overindulgence in beer and pizza traditionally led to the dreaded “freshman fifteen”, location analytics show that today’s college students are a bit more discerning. They balance cost with a desire for elevated experiences – while also prioritizing healthier options.
Against this backdrop, it may come as no surprise that fast-casual chains hit the college sweet spot between indulgence and affordability. In 2024, the share of STI:Landscape’s “Collegian” segment in the captured market trade areas of fast-casual chains nationwide stood at 54% above the nationwide baseline – meaning that this demographic’s representation among fast-casual’s visitor base was 54% above average. Specialty drinks – think healthful smoothies, boba teas, and juices – also stood out as particularly popular among the college crowd. Meanwhile, the share of college students in the captured markets of full-service restaurants (FSR), traditional coffee spots, and quick-service chains (QSR) was significantly lower – though still on par with, or slightly above, the nationwide baseline.
Within the specialty drink and fast-casual segments, certain chains attract a particularly strong college following, including Noodles & Company – which likely draws students with its unique twist on comfort foods like mac and cheese. Playa Bowls and Kung Fu Tea are also especially popular among undergrads on the hunt for wholesome, convenient pick-me-ups.
Even within categories that typically see fewer college patrons, such as FSR and QSR, select brands maintain a strong hold on this market. Wine club Postino and KPOT Korean BBQ & Hotpot – both of which offer elevated, unique experiences that deliver plenty of bang for the buck – are popular among collegians. Several mass-market FSR and QSR chains, including Waffle House, Texas Roadhouse, The Cheesecake Factory, Chili’s Grill & Bar, Raising Cane’s, Culver’s, Papa John’s Pizza, and Taco Bell also draw significantly higher-than-average college crowds. And within the coffee space, chains like Dutch Bros, and Scooter’s Coffee that offer specialty beverages like smoothies and energy drinks pull in above-average shares of college crowds.
How do college students interact with the dining brands they love? Zooming in on college town venues that cater specifically to the student crowd can shed light on the unique eating-out behaviors of this demographic.
Nationwide, the share of college students in coffee shops’ captured markets is just over the segment’s overall share in the population (+6%). But Starbucks locations near college campuses are positively teeming with students. A remarkable 81.9% of the captured market of the Starbucks near Indiana University, for example (on S. Indiana Ave in Bloomington, IN), belonged to STI:Landscape’s “Collegian” segment in 2024 – 5386% above the national average. Similar patterns were observed at locations near Texas A&M University and Penn State, where the segment made up 70.3% and 61.3%, respectively, of the locations’ visitor bases.
And these students tended to linger far longer than visitors to other Starbucks locations, either to study or hang out with friends – between 28.0 and 34.0 minutes on average, compared to 14.1 minutes for the chain as a whole.
Students also crave quick bites to power them through late-night study marathons and parties. Although most Taco Bells are busiest in the afternoons and early evenings, the one on S. Providence Rd. in Columbia, MO (near Mizzou) – with 68.5% of its market composed of “Collegians” – saw nearly half of visits take place after 8:00 PM last year. The same pattern held true at Taco Bell sites near the University of Florida in Gainesville and Texas A&M in College Station.
Collegian consumer activity typically peaks in August, when back-to-school shopping surges. And this holds true for college town restaurants as well. In 2024, visits to Chili’s locations serving college students – such as the Texas Ave S. location in College Station, TX, where the “Collegian” segment comprises 57.8% of its market – saw a notable visit spike in August. But in December, Chili's busiest month nationwide, things slowed down considerably at the analyzed campus-adjacent locations, as students headed back home for the holidays.
From hearty fast-casual fare to specialty drinks, late-night burritos, and lengthy coffee shop study sessions, college students blend cost-consciousness with a desire for quality and experience. And their loyalty to brands that strike this balance – while catering to their unique preferences and behaviors – can be massive, especially once they leave campus and their spending power grows.
Visit Placer.ai for more data-driven consumer insights.
Why has Old Navy introduced occasionwear? Examining the product selection available at the six brick-and-mortar apparel chains most frequently visited by Old Navy visitors (T.J. Maxx, Kohl’s, Marshalls, Ross Dress for Less, DICK’s Sporting Goods, and Macy’s) can shed light on the apparel needs of Old Navy’s consumer base.
Old Navy shoppers seem to like activewear – all six of Old Navy’s biggest brick-and-mortar competitors in the apparel space carry a large selection of sportswear and athleisure. In fact, the apparel selection at DICK’s Sporting Goods – the fifth most frequently visited chain among Old Navy visitors – is limited to only athletic wear. Old Navy already holds a strong competitive position in this category with its popular activewear collection.
But some Old Navy shoppers may be visiting brick-and-mortar apparel chains in search of the perfect evening dress – five of the top six retailers competing with Old Navy for apparel visits carry evening wear. So expanding its product line to include prom dresses and similar items may help Old Navy recapture some of the traffic lost to competitors from customers in search of occasionwear.
American Dream hosted the first ever JonasCon on March 23rd, 2025. How did the event impact visitation trends, and what does the success of JonasCon mean for the future of malls? We dove into the data to find out.
American Dream has emphasized the experiential potential of malls from its inception. The massive shopping, dining, and leisure venue includes a vast array of indoor and outdoor entertainment facilities such as a water park, an indoor ski slope, and an aquarium as well as numerous stores and restaurants. And although the mall – which opened just before the COVID pandemic – has dealt with its share of setbacks, recent data suggests that American Dream has turned a corner, with leasing picking up and year-over-year quarterly visits positive throughout 2024.
American Dream’s position as both a mall and an entertainment complex along with its location in New Jersey – the Jonas Brothers’ home state – made it the natural choice to host JonasCon, a one-day fan convention on March 23rd, 2025 celebrating the band’s twentieth anniversary.
The event proved to be a major success, with visits to American Dream surging 146.5% higher than the YTD average and 72.8% higher than a YTD Sunday. Visitors during JonasCon also stayed significantly longer in the mall, with the average visit on March 23rd lasting 220 minutes – almost four hours – compared to an average stay of 141 minutes for the YTD.
The JonasCon visit spike was driven in part by own-of-towners making the trip especially for the event. On March 23rd, over 25% of visitors to American Dream came from at least 50 miles away, compared to just 17.9% of visitors coming from 50+ miles away for the YTD average. The surge in overall visits, the extended dwell time, and the significant influx of out-of-towners directly translated to increased opportunities for spending across the entire venue.
The event also seems to have attracted more singles from more affluent households compared to American Dream’s regular visitor base: The mall’s trade area on March 23rd included fewer households with children and more one person and non-family households compared to the YTD average, and the trade area median household income (HHI) stood at $93.0K compared to the $89.9K median HHI for the YTD.
The popularity of JonasCon among the coveted demographic of affluent singles highlights how malls can target certain audiences by organizing specific happenings. Most malls offer something for everyone – American Dream in particular has a range of offerings for different age groups and at different price points, including a variety of free exhibits. But while providing options for almost any consumer creates the potential for a large and varied visitor base, certain demographics might need an extra nudge to come through the door for the first time. Offering unique experiences can help malls bring in certain groups of consumers that may be underrepresented in the mall’s regular visitor base – perhaps fostering return visits and growing their regular audience.
Through JonasCon, American Dream has once again cemented its position at the forefront of the experiential mall movement. The venue represents a broader trend as some malls evolve beyond transactional spaces to become centers of shared experience – whether through built-in elements or by offering unique experiences through one-off entertainment and events.
The success of JonasCon along with the ongoing visit growth at American Dream highlights the current consumer appetite for exciting and engaging offline experiences – and malls are extremely well positioned to meet this demand.
For more data-driven retail insights, visit placer.ai.
Dollar Tree's recently announced plan to sell Family Dollar at a significant loss is another sign of the recent struggles in the discount and dollar store sector, highlighted by last year’s closure of 99 Cents Only and Big Lots' bankruptcy filing. We dove into the data to understand what is driving Dollar Tree’s decision and what this means for Family Dollar moving forward.
The discount & dollar store category had been on the rise before the pandemic, and COVID gave the segment another considerable boost – in part thanks to discount and dollar stores’ designation as “essential retailers” that could remain open during lockdowns. Category leaders Dollar General and Dollar Tree continued their aggressive fleet expansions to meet the growing consumer demand, which led to a substantial overall increase in visits to the category.
But zooming in on 2024 data suggests that visit growth to the category is slowing down. Although discount & dollar stores are holding on to their pandemic gains – traffic to the segment is still 57.8% higher than it was in 2017 – year-over-year (YoY) growth is slowing, with 2024 visits up 2.8% compared to 2023, in contrast to 2022 and 2023’s YoY jumps of 7.8% and 7.7%, respectively.
This deceleration of growth is not in itself worrisome – no retail category can sustain rapid growth indefinitely. But the visit trends do signal that discount & dollar store leaders seeking an edge over the competition will need to adopt more strategic approaches and avoid allocating resources to overly risky ventures.
Overall visits to the Dollar Tree brand were already on the rise prior to COVID and skyrocketed over the pandemic – leading to a 60.1% increase in overall visits between 2017 and 2024. But, like with the wider category, traffic growth to Dollar Tree seems to be decelerating – the banner posted a 5.4% YoY increase in visits in 2024 compared to a 13.9% YoY increase in 2023.
But Family Dollar lagged behind, apparently immune to the COVID-driven dollar store visit surge. Traffic to the chain in 2024 was down 4.0% YoY and just 3.6% higher than it was in 2017. And although Dollar Tree’s decision to close nearly 1000 Family Dollar stores appears to be bearing fruit – in 2024, average visits per venue were up 1.7% YoY and 16.9% relative to the 2017 baseline – the improvement seems to have been insufficient to prevent the banner’s sale.
Family Dollar has faced plenty of difficulties in the last several years, so it’s difficult to attribute Dollar Tree’s offloading of the banner to a single factor. Still, one major element that likely hurt the brand’s performance was the intensified competition from other discount and dollar store leaders – including from sister banner Dollar Tree.
Family Dollar visitors have always been keen Walmart shoppers – since 2019, over 90% of Family Dollar yearly visitors also visited Walmart, and these cross-visit trends have remained relatively stable over the past six years. Other dollar stores were not always as popular with Family Dollar shoppers – in 2019, less than two-thirds of Family Dollar visitors also visited a Dollar Tree or a Dollar General. But as those chains grew, so did their appeal to Family Dollar shoppers – by 2024, over three-quarters of Family Dollar visitors also visited Dollar Tree or Dollar General – and this increased competition likely hampered Family Dollar’s growth.
Still, despite the increasingly competitive discount and dollar store space, analyzing Family Dollar’s trade area composition reveals that the chain fills a unique niche within the broader discount retail sector.
Family Dollar tends to attract the least affluent visitor base – the median household income (HHI) in the chain’s captured market trade area is $53.9K, compared to $67.6K, $61.8K, and $68.7K for Walmart, Dollar General, and Dollar Tree, respectively. Family Dollar’s captured market also includes the highest share of urban areas, with 36.9% of its trade area defined as “Urban Periphery” or “Principal Urban Center” by the Esri: Tapestry Segmentation database.
Family Dollar can draw on its distinctive position as an urban-based retailer catering to value-seeking consumers to set itself apart from the competition and lay the groundwork for a successful resurgence.
Although Family Dollar was sold at a substantial discount from its original purchase price, the chain still has a promising opportunity to re-establish itself as a powerful contender in the discount retail landscape. By prioritizing locations in urban areas that are less exposed to direct competition from the other major players and keeping its prices competitive with those of other dollar and discount retailers, Family Dollar can lay the groundwork for a successful resurgence.
For more data-driven retail insights, visit placer.ai
Consumers have been taking stock of their habits and behaviors over the past few years. With the explosion of semaglutide medications in the market and the high frequency of adoption by consumers, there’s a renewed focus on health and wellness across the U.S. population that extends to other consumption behaviors. One of the outcomes of this change in perspective is the increased scrutiny around the consumption of alcoholic beverages – especially among younger consumers.
At the same time, alcohol consumption increased handily during the pandemic, which has helped liquor stores and retail chains to stand out from the rest of the retail industry. As we hit the five year anniversary of the beginning of the pandemic, it’s time to dive deeper into the Bev Alc space to uncover new trends, changes with consumer engagement, and potential headwinds for the industry.
Liquor store chains benefited greatly from shifts in behavior during the pandemic, and for the most part, they’ve been able to sustain those levels of success over the past few years. However, 2024 signaled a deceleration of foot traffic growth across chains, particularly in the second half of the year.
Bev Alc had been a visitation leader in the essential side of the retail industry in the early days of the pandemic, and the category continued to benefit greatly from sustained levels of alcohol consumption even after pandemic restrictions eased. But as with all pandemic-era consumer habits, as we approach the five year anniversary, reversal of some trends are taking shape: While year-over-year visits continued to rise in 2024, last year’s 4.0% average increase in monthly visits was significantly less than the 8.6%, 9.1%, 7.1%, or 6.7% average increases in monthly visits in 2020, 2021, 2022, and 2023, respectively.
There are also various factors that could potentially impact the industry this year: Decreased consumption of alcohol that could have played a role in 2024’s softening of visits is likely to continue in 2025, and potential tariffs on popular spirits like Tequila and Mezcal may impact consumer preferences going forward.
From a retailer perspective, Spec’s posted the strongest visit performance while BevMo! had the most challenging 2024 of the larger liquor retail chains, although most chains experienced some softening in foot traffic throughout the year. Bev Alc retail is a notoriously regional and local category, meaning that changes in foot traffic by chain are often impacted by what’s going on in a specific region of the U.S. BevMO! services Arizona, California and Washington, so the chain’s modest performance may point to some decreases in demand across the western part of the country. Meanwhile, Spec’s operates primarily in Texas, and its consistent YoY visit growth throughout 2024 may suggest that the shift in alcohol consumption habits has been more muted in the Lone Star State.
With the broader context of what’s going on across the category analyzed, what’s really driving these changes in visitation to liquor stores? As referenced, there’s been a narrative that younger consumers’ changing alcohol consumption habits will greatly impact the Bev Alc space.
But layering Spatial.ai’s Personalive demographic and psychographic visitor segmentation onto liquor store’s captured market reveals a slightly more nuanced reality. The data shows that between 2019 and 2024, the share of wealthier families and of Educated Urbanites – a younger, well-educated, and more affluent cohort – in the captured market of liquor stores. During the same period, the share of Young Professionals and Young Urban Singles – both segments of younger visitors have lower median household incomes than Educated Urbanites – actually increased.
What the data reveals is that we can’t build a singular narrative around the alcohol habits of all younger consumers; there’s also a layer of socioeconomics that has also impacted consumers' desire to frequent liquor stores and engage in alcohol consumption. This knowledge may also contribute to the changes we’ve seen in BevMo!’s business, as their highest shares of visitation come from wealthier families and Educated Urbanites.
Foot traffic estimates also reveal that consumers have shifted the time of day that they visit liquor store chains. In 2024, we observed a higher share of visits after 3 PM compared to 2019, with the largest penetration shift coming between the hours of 6 PM to 8 PM. Consumers are visiting liquor stores more frequently after working hours than before the pandemic, which underscores the shifting role of alcohol in people’s lives. Our data also indicated a higher distribution of visits during weekdays in 2024 compared to 2019, but a lower share of weekend visits.
Liquor store visit frequency contextualizes the changes that we’ve observed in consumption habits, highlighting that, despite the increased interest in moderating drinking habits, the pandemic did fundamentally shift how people engage with the category and alcohol retail has become more of a presence in consumers’ weekly routines.
As the cultural perception of alcohol shifts, changes are likely to occur across the industry. We’ve observed more liquor brands opening bars and drinking establishments to engage directly with consumers, while there’s also still a continued rise in local and regional brands popping up. Another area that has been growing steadily over the past few years is non-alcoholic beverages. The aisles of grocery stores and liquor stores are now filled with non-alcoholic alternatives of brand names, as well as mocktail entrants into wildly popular canned cocktails. Beyond that, there’s also been an increase in the number of non-alcoholic bottle shops, and the prevalence of non-alcoholic options will likely continue to grow and extend to other areas of the country outside of major cities. The Bev Alc industry is at a true crossroads with consumers, and consumer behavior will dictate how the industry must evolve to stay relevant.
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.
