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In December 2023, Placer.ai released two white papers: How Physical Stores Help DNBs Thrive and East Coast Migration Hubs. Below is a taste of our findings. To read more data-driven consumer research, visit our library.
DNBs – Digitally Native Brands – refer to retailers that began their retail journey exclusively online, selling their product line direct-to-consumers through their owned digital channel. But although all these businesses start out as a pure e-commerce play, many DNBs eventually move offline, choosing to leverage the various benefits of brick-and-mortar channels to grow their business even further.
Analyzing year-over-year (YoY) data for Q3 2023 shows that, while many retailers struggled, DNB leaders such as Vuori, Allbirds, Everlane, and Warby Parker all saw significant growth in quarterly visits per venue. Many of these brands also underwent significant expansions, but the increase in visits per venue reveals that many of the DNBs are seeing more crowded stores despite the increase in number of overall venues. The success of these brands in operating stores that consumers want to keep visiting – even in times of economic headwinds – suggests that DNBs are particularly well positioned to take advantage of the diverse benefits of offline stores.
How Physical Stores Help DNBs Thrive uses location intelligence to reveal the different brick-and-mortar strategies helping DNBs broaden their reach, build their brand, and acquire new audiences. Several DNBs are building massive store fleets, while others focus on a couple well-placed stores – and some focus on temporary pop-ups to reap the benefits of physical stores without the long-term commitment.
Read the full report here to discover the diverse methods that digitally native brands are enlisting to to drive growth through brick-and-mortar expansion.
Much has been written about the recent population outflows from New York, Massachusetts, and other northeastern states. But many states on the East Coast – including Maine, Vermont, Rhode Island, Delaware, North and South Carolina, and Florida – are actually seeing influxes of newcomers.
Each of these states – and each of the metropolitan areas attracting relocators within them – offers its own set of benefits. But those willing to make the move often fit a similar profile – younger individuals or families looking for a more favorable housing market, better schools, or more job opportunities.
East Coast Migration Hubs looks at several states and metro areas on the East Coast to explore the factors driving migration to these emerging hubs. Using location data to understand who is moving, and harnessing Niche’s Neighborhood Grades dataset to identify differences between origin and destination areas, the report seeks to shed light on recent domestic migration trends in the Eastern United States.
Read the full report here to discover the factors driving domestic migration to several popular relocation destinations on the East Coast.
For more data-driven consumer research, visit our library.
Last year was marked by inflation and consumer cutbacks as shoppers adjusted to price hikes across key retail and dining categories. But despite the challenges, many categories and retailers not only weathered the storm but positively thrived under the ongoing headwinds.
Now, with a new year offering fresh opportunities for growth, what are the retail and dining segments positioned for success in 2024? We dove into the data to find out.
Last year’s high grocery prices led to a surge in foot traffic to affordable supermarket chains – but food-away-from-home inflation also seems to have driven visits to high-end grocers. Visits to chains such as New York-based Uncle Giuseppe’s, Illinois-based Cermak Fresh Market, and California-based Lazy Acres saw consistent year-over-year (YoY) visit increases as consumers sought specialty ingredients to recreate restaurant-quality dishes at home. Rising interest in sustainability, natural products, and organic ingredients – especially among Gen-Z – likely helped drive traffic growth as well.
But the success of specialty grocers isn’t just coming from singles willing to splurge on the latest influencer-backed food trend – trade area demographic data reveals that families with children are overrepresented in the captured market trade area of all three specialty grocers analyzed. With restaurant prices likely increasing slightly in 2024, consumers looking to feed their families tasty dishes without breaking the bank – or shoppers feeding the growing demand for natural food products – will likely keep visits to specialty grocers high in the coming year.
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Along with the rise in specialty grocers selling natural and organic ingredients, restaurants focusing on whole, healthy foods are also seeing a boost – and the segment is positioned for further growth in 2024. Consumers are flocking to concepts such as Mendocino Farms, honeygrow, and Crisp & Green that boast fresh ingredients and made-from-scratch dishes – and these chains are all expanding to meet the growing demand.
Visits to healthy dining concepts are no longer reserved for special occasions – weekday foot traffic is also on the rise, with all three dining brands analyzed seeing a YoY rise in the share of Monday to Friday visits. With employees slowly but surely returning to the office and looking to grab a nutritious lunch mid-day or meet up with friends for a balanced dinner on their way home, demand for health-focused dining concepts is likely to continue growing in 2024.
Dave’s Hot Chicken was one of 2023’s biggest dining success stories, and the chain was not the only fried chicken franchise attracting significant foot traffic. Raising Cane’s, which has been on a roll for several years, and Huey Magoo’s Chicken Tenders – which serves grilled chicken and other fare alongside its signature fried tenders – are also taking the country by storm.
Foot traffic to the chains surged in 2023, driven in part by aggressive expansions. But zooming into November 2023 data reveals that average visits per venue are also up YoY, despite all three brands’ much larger store fleets – indicating that the fried chicken boom is meeting a ready demand. It seems, then, that while some diners will favor healthy foods in the new year, other consumers are likely to continue driving visits to fried chicken chains in 2024.
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Fried chicken isn’t the only indulgence positioned to thrive in 2024. Other affordable luxuries raked in visits last year and are likely to continue seeing growth in the year ahead.
Although inflation appears to be cooling, prices across many goods and services still remain elevated, with some shoppers still putting off large purchases. But consumers are willing to splurge on small treats that won’t break the bank, and tasty snacks and food items – from craft doughnuts to gourmet deli sandwiches to specialty coffee concoctions – could provide the perfect affordable and guilt-free pick-me-up. Parlor Doughnuts, Pickleman’s Gourmet Cafe, and Dutch Bros. Coffee are some of the chains that benefited from this trend in 2023 and will likely continue to grow in the new year.
The trade areas of the three chains analyzed all include a larger-than-average share of “non-family households” – people living with unrelated individuals. As high housing costs continue to lead more U.S. adults to live with roommates, the number of consumers looking to escape their daily grind with an affordable indulgence is likely to increase in 2024 – and drive even larger visit surges to chains offering budget-friendly treats.
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Non-comestible affordable indulgence such as tanning salons, hair-removal parlors, and eyelash salons are also seeing a rise in visits that will likely continue in the coming year. Deka Lash, Tan Republic, Glo Tanning, and LaserAway are some of the chains that saw their YoY visits increase significantly in 2023, and the growth does not appear to be slowing down.
All four chains’ trade areas included a larger share of Gen-Z visitors (aged 18-24) than the share of 18-24 year olds nationwide. And since, despite inflation, younger shoppers tend to spend more than the average American on beauty and self care – and Gen Z’s spending power is only expected to grow in the coming year – personal grooming chains are well positioned to succeed even further in 2024.
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Another personal care-adjacent segment slated for growth in 2024 is themed fitness. Gyms and studios that focus on a particular type of activity or fitness regimen – such as climbing, yoga, pilates, or HIIT are seeing their visits skyrocket, with both the number of monthly visits and the average visit frequency on the rise YoY.
The rising popularity of themed fitness concepts may be aided by the sense of community fostered by many of these chains. Touchstone Climbing organizes meetup groups geared towards specific audiences, while F45 Training prides itself on facilitating a sense of purpose and belonging among its members. And yoga and pilates classes have long been recognized for their capacity for connection-building.
With loneliness on the rise and many consumers looking to incorporate a fun, social element into their fitness routines, the demand for themed fitness concepts will likely keep on growing in 2024.
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Cost-effectiveness does not necessarily mean cheap. And while some retail segments to watch in 2024 stand out for their low price points, other segments that offer consumers a particularly strong value proposition also appear well positioned to thrive in the coming year. Chains such as Theory, Anthropologie, and Marine Layer all saw YoY increases in monthly visits every month of 2023, perhaps aided by the “quiet luxury” trend that drove demand for high-quality, non-ostentatious fashion. And while these brands may not offer the cheapest price, the focus on good craftsmanship and premium fabrics may help consumers feel better about shelling out a little more for each item.
All three brands analyzed have a significant presence in California. Diving into their captured market in the Golden State reveals that visitors to these upscale apparel retailers tend to be wealthier and are more likely to live alone when compared to the average California resident. So even as many companies look to cater to the increasing share of budget-conscious consumers, other retailers willing to invest in quality materials and offer a premium customer experience can still thrive in 2024 by meeting the needs of more affluent audiences.
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From healthy foods to fried fare, and from affordable treats to higher-priced apparel, the diversity of retail and dining segments to watch in 2024 highlights the many opportunities for success in the coming year. Where will visits skyrocket? Which brands will hit it out of the park?
Visit placer.ai/blog to find out.
Streets adorned in holiday lights, bustling Christmas stores and pop-ups, and local festivals all make the holiday season a truly magical time of year. So with Christmas in the rearview mirror, we dug into the data to explore some of the most beloved holiday spots throughout the country. Who visits Christmas stores? How do holiday events affect foot traffic to local hangouts? And what impact do annual parades have on major retail corridors like Chicago’s Mag Mile?
We dove into the data to find out.
Bronner’s Christmas Wonderland in Frankenmuth, MI is the biggest Christmas store in the country – nay, the world. Spanning some 27 acres, the store carries everything from personalized holiday ornaments to Christmas trees. And the venue, which is open 361 days a year, has emerged as a true destination, where visitors can enjoy a taste of the holiday spirit and load up on all their Christmas essentials.
People visit Bronner’s all year round – but foot traffic to the store really picks up during the holiday season: Between November 1st and December 21st, 2023, the holiday wonderland drew a stunning 438.0% more daily visits, on average, than it did between January and October of this year.
Drilling down deeper into the data shows that much of this visit bump is driven by locals, who flock to Bronner’s during the Christmas season. Throughout the year, Bronner’s draws tourists from all over the country – and in the summer, most visits to the shop are by shoppers living more than 100 miles away. Individuals living within 100 miles of Bronner’s tend to visit closer to Christmas, when the time comes to stock up on supplies for the holiday. And as the holiday approaches, the share of true locals in Bronner’s visitor base – i.e. those living less than 50 miles away from the store – increases significantly.
As the Yuletide season kicks into gear, special holiday-themed pop-ups and happenings also spring up throughout the country, with bars, malls, and restaurants all hosting special events filled with holiday cheer.
One venue that goes all out for the holidays is Mozart’s Coffee Roasters, the lakeside Austin, TX coffee shop that’s been a local landmark since 1993. With free wifi, expansive seating, and bottomless coffee, Mozart’s is the perfect place for remote employees to get some work done. And with hundreds of artists performing at the venue each year and a weekly open mic night, it’s also a great place to go out in the evenings. In the run-up to Christmas, Mozart’s hosts its famed annual holiday lights show, replete with a Bavarian Marketplace, a silent disco, and this year, an actual piece of Taylor Swift’s dance floor.
During the light show, Mozart’s is positively teeming with customers: Since the start of the event this year (November 9th), the coffee shop drew 104.3% more daily visitors, on average, than it did between January 7th (the end of last year’s show) and November 8th, 2023. And unsurprisingly, foot traffic data shows that most of this visit bump is driven by evening customers: During most of the year, the majority of visits to Mozart’s take place before 6:00 PM, with 24.4% concentrated in the morning hours. But when the festival kicks off, this pattern reverses – with 66.7% of visits taking place between 6:00 PM and midnight.
Local parades and festivals are another mainstay of the holiday season. From New York’s iconic Macy’s Thanksgiving Day Parade to the Hollywood Christmas Parade in Los Angeles, cities across America draw massive crowds to streets decked out with holiday cheer.
One of the nation’s most timeless Christmas celebrations is Chicago’s Wintrust Magnificent Mile Lights Festival – an all-day bonanza that features a slew of booths and activities, a televised parade, and an impressive fireworks display. The festival, which famously illuminates the city with a million lights, is one of the Mag Mile’s prime events of the year. And comparing November 18th, 2023 foot traffic to the popular Chicago retail corridor – the day of the big event – to a September 1st 2023 baseline, shows that the festivities generated a tremendous 179.5% visit spike.
And a look at the demographic characteristics of visitors to the Mag Mile during the Lights Festival reveals that the celebration draws a more economically diverse crowd, as well as a larger share of families with children. Throughout most of this year, the median household income (HHI) of the Magnificent Mile’s captured market was relatively high – $85.4K. At the same time, the share of parental households in the retail corridor’s captured market increased from 21.0% to 23.4%, highlighting the event’s special appeal for families.
Everybody needs some seasonal cheer – and the sheer variety of holiday-themed events and festivals means there’s something for everybody. How will Christmas stores fare as the retail environment continues to evolve? And how will shifting urban landscapes impact local events, parades, and festivals in the years to come?
Follow Placer.ai’s data-driven retail and civic analyses to find out.
College students make up a small percentage of the overall U.S. population. But they often have money to spend – and back-to-college shopping is a significant driver of retail sales. This year in particular, students heading back to school were expected to spend record amounts on dorm decor, clothing, and other campus essentials. And since today’s college students make up a large chunk of tomorrow’s affluent consumers, retailers across industries are eager to cement positive relationships with the segment.
So with fall semester just under way, we dove into the data to explore the spending habits of today’s undergraduate young adults. When do they shop? What do they like to buy? And what can retailers do to get their attention?
To get a sense of when collegians tend to do the most shopping, we analyzed the monthly share of college students in the captured markets of select retailers and segments, using audience segmentation data from Spatial.ai’s PersonaLive. And the analysis revealed that student consumer behavior follows a clear seasonal pattern.
In 2019, the share of college students in the captured markets of big box superstores like Target and Walmart peaked in August, and to a lesser extent in June, July, and September, as collegians enjoyed their summer vacations and did their back-to-school shopping. Additional upticks emerged in January, when many students were on winter break. But during regular school months, when midterms, finals, and homework likely kept many students hunkered down in the library, their share in the chains’ captured markets was much lower. While this pattern was disrupted in the wake of COVID, it returned in full force in 2022. Similar seasonality arose when looking at wider segments like apparel and off-price retail, as well as various dining categories.
In addition to seasonality, the above graphs also appear to indicate that despite their tight budgets, collegians don’t necessarily prioritize price over everything else. So to further explore the shopping preferences of college kids, we examined the share of the #College segment in the captured markets of popular chains across categories.
Trade area data seems to indicate that university students shop at Target, frequent non-off-price-apparel chains, eat at fast-casual restaurants – and make up smaller shares of the customer bases of less expensive alternatives. Indeed, as hard-up as they may be, undergrads know how to splurge and are willing to pay for high quality stuff. They can’t get enough Urban Outfitters and love mid to higher range brands like Madewell and lululemon athletica.
At the same time, college students are highly oriented to thrift shops – especially those like Buffalo Exchange and Plato’s Closet, where they can sell their old clothes and snag stylish, name-brand items for a steal.
Of course, the share of collegians in the captured market of any given retailer or segment can also be impacted by the behavior of other demographics. For example, if a particular chain attracts an extremely broad audience, a lower relative share of college students may indicate that their presence is being offset by other segments. Still, while a small share of collegians in a chain’s trade area may not necessarily mean that the chain does not appeal to this group, a disproportionate share of students in a chain’s captured market is a strong indication that the brand is embraced by this demographic.
And chains which see a smaller share of college students among their customer base may draw an outsize proportion of undergrads during peak season. Walmart’s captured market, for example, was just 14.0% over-indexed for the #College segment between September 2022 and August 2023, compared to a nationwide baseline. But looking just at August 2023 – peak college Back to School shopping season – the share of #College students in its captured market was 94.0% higher than the nationwide average. Walmart also enjoyed higher-than-average shares of collegians in September, June, July, January, and to a lesser extent – October. Dollar Tree, too, attracted an outsize share of collegians in the summer and in January.
Collegian shopping habits are shaped by the rhythms of campus life. And while students are budget-conscious, they place a high premium on quality and are willing to spend money on things that are important to them. Brands that can lean into college students’ seasonal groove – while providing the products they crave at price points that don’t break the bank – will be poised to win over this demographic, gaining customers that may stay with them for life.
How will college spending habits continue to evolve as the school year progresses? Which brands will stand out as collegian favorites?
Follow Placer.ai’s data-driven insights to find out.
Marriott International, Inc. has long been a dominant player on the U.S. hospitality scene. The company boasts a wide-ranging portfolio of some 31 brands, running the gamut from luxury chains like The Ritz Carlton to more budget-friendly options like Courtyard by Marriott. And with more than 8,500 locations worldwide, including some 5,700 in the U.S., the hotel giant is continuing to expand its footprint.
Against this backdrop, Marriott International’s decision last May to launch the hospitality industry’s first media network – leveraging visitor data to let external brands advertise to its customers – should come as no surprise. With millions of customers passing through its doors each year, Marriott is particularly well-placed to help relevant advertising partners reach new audiences. The network, powered by Yahoo, offers both online and offline marketing opportunities, including in-room television and digital-screen promotions.
To better understand the potential reach of Marriott’s advertising network, we dove into the data to explore the characteristics and preferences of the people that visit the hospitality leader’s various brands and locations. By layering foot traffic data with demographic and psychographic metrics from STI: Popstats, AGS Behavior & Attitudes, and Experian’s Mosaic, we examined Marriott’s different captured markets, gaining insight into the habits, interests, and profiles of its customer bases.
*A chain or venue’s captured market refers to the population residing in its trade area, weighted to reflect the actual share of visits from each Census Block Group comprising the trade area.
Marriott’s brands are divided into three tiers: Luxury, Premium, and Select. And with something for everyone, the company’s customer base encompasses a wide swath of society – from budget-conscious families looking for inexpensive accommodations, to affluent singles on the hunt for high-end, luxury getaways. Marriott also runs several extended-stay venues, including Residence Inn and TownePlace Suites.
A look at the profiles of visitors to four different Marriott chains shows that, as expected, wealthier patrons tend to frequent the company’s luxury hotels, while less affluent customers tend to visit its more budget-oriented Select brands. But even the company’s less pricey offerings – such as Four Points by Sheraton (acquired by Marriott in 2016) – attract consumers from relatively affluent areas. And certain Select tier destinations, like Marriott’s Millennial and GenZ-oriented Moxy Hotels, draw higher-HHI travelers than some Premium brands.
The household compositions and consumer preferences of visitors to Marriott’s various brands also differ. Four Points stands out as a prime destination for families with children, as well as older couples – while Moxy attracts an outsize share of “Young City Solos.” Moxy and Ritz Carlton guests are more likely to be museum goers and use ride share apps like Lyft and Uber. And visitors to Four Points and Westin locations are more apt to be into DIY home improvement.
One Marriott chain that has been doing particularly well in recent months is Moxy Hotels, a brand squarely targeted at the “young at heart.” Positioned as an experiential destination – a place to play, and not just stay – Moxy Hotels’ website exudes youthfulness, inviting travelers to “PLAY ON #ATTHEMOXY,” and touting the chain’s fun communal spaces. The rooms are relatively compact and affordable, and at some locations, guests can check in at the bar and claim a complimentary cocktail.
And the chain, which boasts some 120 properties across 23 countries (including more than 30 in the U.S.), experienced positive year-over-year (YoY) visit growth throughout H1 2023. While some of this growth is undoubtedly due to the chain’s continued expansion, the average number of visits to each Moxy Hotel also increased. The consumer quest for fun experiences, which has propelled experiential models in retail and dining, appears to be leaving its mark on the hotel industry as well.
Moxy Hotel’s highly targeted experiential vibe may make it particularly attractive for advertisers interested in reaching younger consumers. But while Moxy targets a pretty specific demographic, the profile of its customers is far from uniform. Visitors to Moxy’s New Orleans Hotel, for example, are more likely to have a lower HHI and to include families with children than visitors to its Washington, D.C. and East Village (New York) venues. And while more than 60.0% of visitors to the East Village Moxy in H1 2023 were locals hailing from less than 30 miles away, 81.5% of visitors to the New Orleans Moxy came from further away.
Buoyed by a post-COVID travel boom that has seen people flocking back to hotels and airlines, Marriott International – along with its media network – appears poised for further growth. While the network will undoubtedly harness Marriott’s own first-party data, including from its Bonvoy loyalty program, location intelligence can offer additional layers of insight into the actual audiences it is likely to reach.
For more data-driven foot traffic insights, visit Placer.ai.
Although many dining chains have been challenged by recent economic headwinds, others are finding success. Adding itself to the list of restaurant winners in 2023 is CAVA – a growing Mediterranean fast-casual chain that recently filed for an initial public offering (IPO). We dove into the location analytics for CAVA to take a closer look at how the company is thriving in a turbulent economic climate and what lies ahead for the chain in its next chapter.
CAVA has shown a remarkable ability to drive foot traffic over the past couple of years. Since 2019, CAVA’s baseline visit growth has outperformed the fast-casual restaurant space nearly every month – with visits really taking off in 2021. The brand has been able to capitalize on growing suburban markets – accounting for 80% of locations – which may be contributing to the chain’s visit growth.
Visits to CAVA have skyrocketed. And like other fast-casual success stories, CAVA has embraced drive-thrus and invested in a streamlined in-store experience, both of which are likely contributing to at least some of the brand’s recent strength.
In addition to impressive visit growth, CAVA recorded a 12.8% revenue increase in 2022 compared to 2021 – no small feat considering the impact of inflation on overall restaurant traffic.
Zooming into visits per venue showcases CAVA’s strength even more clearly. CAVA’s visits-per-venue seem to follow industry trends – as overall fast-casual visits-per-venue fell year-over-year (YoY) between January and April 2023, CAVA’s visit-per-venue growth slowed as well. But although the direction was similar, the actual performance differed substantially, with the company significantly outperforming the wider fast-casual category.
CAVA’s YoY monthly visits per venue have been up since January 2023 – a particularly impressive feat in light of the chain’s continued expansion, and an indication that new locations are driving traffic despite the current economic environment. So, while CAVA appears to be affected by broader restaurant trends, the brand remains far ahead of the fast-casual dining space.
CAVA’s bold brick-and-mortar strategy is part of the reason why it has been able to get ahead of the pack in the fast-casual category. The company acquired Zoës Kitchen in 2018 and has since rebranded almost all Zoës Kitchen locations as CAVA restaurants. Such a strategy is relatively rare in the restaurant industry, but location analytics show that the move has paid off.
Since Q1 2021, CAVA’s YoY visits per venue have consistently outperformed visits-per-venue at the remaining Zoës Kitchen locations. This not only validates CAVA’s decision to phase out the Zoës Kitchen brand but also suggests that CAVA resonates with Zoës Kitchen diners who continue to visit a location when it becomes a CAVA restaurant.
CAVA’s IPO announcement is a welcome next step for one of the fastest-growing fast-casual chains. With a focused expansion strategy and an eye on growing markets, there may be no telling how far the company can go.
For updates and more data-driven foot traffic insights, visit Placer.ai.
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.
