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It’s been a wild ride for the beauty category. Following a strong couple of years, the segment's growth has stalled in recent months, with clothing – led by the strong performance of off-price chains – taking over the top discretionary growth spot. The slowdown in the beauty space has led some to wonder whether the category's boost from the "lipstick-effect" has reached a ceiling.
However, there are a few niches within the beauty category that may portend success, including Korean Beauty (aka K-Beauty), as well as brands focusing on personalization and sustainability.
First up, K-Beauty. Every summer, there is a song or movie that takes over the charts and goes viral. This summer, it is the unstoppable juggernaut from Netflix K-Pop Demon Hunters. Viewers and listeners around the world just can’t shake the catchy tunes like Soda Pop and the powerful anthem Golden. This animated feature is breaking records left and right: Netflix’s most-watched original animated film, first Netflix film ever to reach a new viewing peak in its fifth week of release showing the power of word of mouth, and the film’s lead single, “Golden,” sung by the girl group Huntrix (EJAE, Audrey Nuna and Rei Ami), hit No. 1 on Spotify’s Daily Top Songs on July 8th.
K-Pop has already been quite popular in the US for quite some time, with headliners like Blackpink and BTS drawing record crowds. Korean shows like Squid Game have also riveted viewers. And one of the most recent beauty trends on TikTok involves Korean beauty strategies to attain “glass skin.” Key ingredients in K-Beauty such as snail mucin in the holy grail product CosRX, green tea antioxidants, or ginseng have already made their way into many Americans’ daily skincare routines.
With all this recent interest in Korean culture, Ulta is one retailer perfectly poised to introduce its curated selection of K-beauty brands.
In mid-July, the company launched K-Beauty World, which introduces American consumers to a host of K-beauty brands, such as Chasin’ Rabbits, I’m From, Mixsoon, NEOGEN, Rom&nd, Some By Mi, Sungboon Editor and Unleashia. K-Beauty World had an immersive multi-city tour earlier this year including Westfield Century City in Los Angeles, SXSW in Austin, Revolve at Coachella, and Lollapalooza in Chicago. And since the launch, Ulta has drawn longer visits and a higher share of singles to its stores.
Personalization is another big buzzword in the beauty world. With over a dozen stores across the US and Canada, Lip Lab is one beauty chain that allows patrons to customize their products (lipstick, gloss, balm or cheek stick), pick their perfect shade, select a case, add a scent, and engrave the name of their creation. In the case of Lip Lab at Scottsdale Quarter, Spatial.ai’s PersonaLive's dataset shows that this tenant helps to attract Wealthy Suburban Families and Young Urban Singles to a shopping center that otherwise skews a bit older – usually, Sunset Boomers make up over one-fifth of Scottsdale Quarter's shoppers.
In sum, beauty is ever-changing and consumers can be quite fickle. What was once a must-have brand with tweens or a sold-out item on BeautyTok can quickly become yesterday’s news. However, for the year ahead, we do think that K-beauty and personalization can help brands burst through the zeitgeist to capture consumers’ attention.
For more data-driven consumer insights, visit placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
Although headlines often highlight a decline in alcohol consumption – particularly among younger generations – the data paints a more nuanced picture, with liquor store traffic remaining well above pre-pandemic baselines. So how has BevAlc consumer behavior changed since 2019? And where is traffic still growing year-over-year? We dove into the data to find out.
As shown in the left-hand chart below, visits to BevAlc chains skyrocketed since 2018, with traffic hovering 40 to 60% above Q1 ’19 – a significantly larger increase than that seen in the wider grocery sector as a whole. But the year-over-year growth has largely flattened, as seen in the right-hand chart, with overall grocery traffic now seeing higher year-over-year growth in H1 2025.
Taken together, these two charts suggest that BevAlc remains a core part of consumers' shopping mix – even if the explosive, pandemic-era acceleration has stabilized into a new normal.
And although BevAlc visits nationwide have flattened, visitation data highlights regional pockets of BevAlc growth. Florida metros such as Port St. Lucie, Sebastian–Vero Beach, and Homosassa Springs posted some of the strongest year-over-year gains, supported by population inflows and steady tourism activity. Similar momentum appeared in select Southern markets, including parts of Texas and the Carolinas.
Meanwhile, many Northeastern and West Coast markets experienced steady pullbacks. Pennsylvania metros like Sunbury, Johnstown, and Erie registered consistent declines, while California hubs including Sacramento, Modesto, and Stockton saw negative traffic trends as well.
This divergence suggests that national averages mask meaningful local variation: while consumers overall are steady in their liquor purchases, certain regions are emerging as growth hubs while others cool.
The opportunity in BevAlc retail now isn't in chasing broad national growth, but in aligning with regional demand dynamics. In Florida and Texas, where visitation is climbing, retailers can lean into assortment expansion, premium products, and in-store promotions to capture incremental spend. In slower markets like California and the Northeast, focusing on loyalty programs, distribution through grocery stores, and smaller format stores that emphasize convenience and value might yield better results.
For more data-driven consumer insights, visit placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
It’s that time again. The time where I share my thoughts on everything I think I think about retail...at this very moment.
Over the first nine months of 2025, we have witnessed some pretty darn amazing things across the retail industry. We've witnessed traditional competitive boundaries blur as some large scale grocery players (at least, one that is one and one that wants to be one) venture into same-day delivery logistics, we’ve seen warehouse clubs reimagine convenience, and we have also had more than one retailer experiment with what the right size of its store footprint should be.
What emerges from this chaos is a revalidation of what omnichannel retailing really is. It is about the reimagining of how consumers shop, where they shop, and why they choose to shop one retailer over another.
Therefore, the following observations represent not just trends to watch, but strategic inflection points that could determine which retailers will have the greatest probability to thrive going forward in this beautiful and increasingly complex omnichannel world.
In Q2 2025, Walmart delivered comparable sales growth of +4.5% (excluding fuel), driven largely by profitable e-commerce, and maintained stable store traffic. Monthly same-store visits, according to Placer.ai, were also remarkably steady between +0.7% and -1.8%, from May through August, amid industry-wide macroeconomic pressures.
Meanwhile, the other U.S. retailing behemoth, Amazon, began pushing (or is it forcing?) its way into grocery in August by way of same-day delivery. Walmart, on the flip side, and not to be outdone, also began putting significant resources behind its Walmart Fulfillment Services offering.
All told, it is a game of anything you can do, I can do better. It is one-upmanship at its finest.
The only question is – who stands the better chance of winning? Or at least drawing blood from the other?
From my vantage point, Walmart has a much better chance of holding onto its grocery reign because it already is a grocer, and quite a large one at that – drawing nearly half as many visits as the entire brick-and-mortar grocery category. Walmart’s 4,600+ store advantage is sizable. Amazon may take from others but the moat around Walmart is pretty large.
On the other hand, will Amazon keep a similar hold on its vendor logistics business?
If I were a betting man, Walmart has a better chance of making inroads on Amazon’s logistics revenue than Amazon has on hurting Walmart in grocery.
Said another way, I guess the box may soon be on the other porch, Amazon.
The size of one’s store base is dependent upon so many factors.
Location, the overall experience design, the ROI of “the box,” and more can all impact the size and shape of a retailer’s store base, and, more often than not, all of them actually work in concert together. Which is why anyone pontificating on the trend in the “size” of stores likely hasn’t put much thought into his or her argument.
Despite the recent run-up of retailers trying to get smaller (Macy’s, in particular, comes to mind), there is no tried-and-true rule that smaller stores will work or vice versa.
In some cases, like in dense or urban markets, smaller stores might work, while in others, if the approach is one of creating destination-type stores, like Hy-Vee or Buc-ees, larger stores might work, too.
My favorite example of someone “getting smaller” is Sprouts. As Sprouts CEO Jack Sinclair told me at Groceryshop, Sprouts realized its format had gotten too large, went back to its roots of differentiated products and great looking fresh produce in a smaller box, and has not looked back since.
At the end of the day – smaller, bigger, uncut – none of it matters as much as what your brand is trying to accomplish for your customers and what, in turn, resonates with them the most.
I think we can all agree that, generally speaking, Walmart and the warehouse clubs are noted for having great prices. On the flip side, what they haven’t been known as much for in the past is a quick and convenient shopping experience.
But that is about to change for two reasons.
The first is economics. There is always a trade-off between convenience and price. As budgets continue to get constrained, people will begin to trade off waiting in lines or navigating the dreaded Costco parking lot to save money.
The second is the evolution of these retailers as omnichannel retailers. For example, Walmart’s Chief E-Commerce Officer David Guggina told me recently that one-third of Walmart’s scheduled deliveries are delivered to Walmart customers in under three hours (see video of interview). This behavior itself gives rise to the theory that people are starting to leverage Walmart for quick trips.
Delivery is only one leg of the omnichannel stool, however.
The other two legs are buy online, pickup in-store (BOPIS) and the actual speed of the in-store experience itself. Much has been documented already about the rise of BOPIS following the pandemic, so I won’t belabor the point here because it, too, is likely driving the data below.
The other aspect is that places like Sam’s Club have done a masterful job of making their stores more convenient and time-efficient. Sam’s Club is leading the way on cashierless checkout in the club channel. Sam’s Club Scan & Go shoppers, which account for an amazing one-third of the Sam’s Club customer base, can simply walk through an AI-powered exit arch and then have a digital receipt sent to them upon exit.
Allow me to take a moment to put this last statement into perspective with a concrete example.
Pretend my wife calls me on my way home from work and asks me to pick up some milk. I have a choice: Do I go to the local grocer or do I go to Sam’s? If I decide to go local, I likely will end up paying more ,and I could also possibly have to wait in line to check out at either a manned till or a self-checkout machine. On the other hand, if I go to Sam’s Club, I can just walk in, scan the milk I want, pay at a paystation and then walk through the arch.
Which experience would you choose?
Enough said.
The number one answer any retailer needs to answer in today’s omnichannel world is, “Why come to my store in the first place.”
And that answer begins and ends with good merchandising.
Take a look at some of the more creative merchandising efforts this year as depicted in the graph below:
What they all have in common is a “hook.” Someone got creative and went outside of the box to compel customers into their stores for new and exciting reasons. It is the definition of good merchandising.
Therefore, retailers, convenience store operators, and QSRs can never rest on their laurels. They constantly need to push the envelope to one-up the year before and the competition.
The best merchants get supercharged by the creative demands of this challenge. The worst merchants get their answers from interpolating spreadsheets and making decisions solely off of last year’s data.
Speaking of merchandising, the convergence of technology and the increasing tendency of consumers to use supermarkets as their mid-day lunch or snack source versus QSRs could inspire a unique opportunity for those grocers adventurous enough to seize it.
I have long been a proponent of electronic shelf labels. The use cases in support of them are almost endless at this point. One of my favorite use cases is the ability to run intra-day promotions, an idea that is virtually impossible with paper price tags, and one that also gets supercharged when the component of in-store digital media screens gets added to the equation as well.
Imagine a grocer who uses electronic shelf labels and then starts running unique daily promotions at lunch time. These promotions could be done on ANYTHING:
You get the idea. It is the Venn diagram of retail media and in-store execution at its finest.
The convergence of these above trends signals a tried-and-true retail axiom, i.e. that success is determined not by what you sell per se, but by how you can integrate convenience, value, and your brand (a better word choice than experience) across every touchpoint.
And this axiom will manifest itself in a number of self-affirming, yet sizable ways.
First, as the Walmart/Amazon tête-à-tête illustrates, a single channel advantage will become almost impossible to defend. Retailers need to decide in which channels they want to speak to their customers or risk being outflanked by competitors who will. This creates both vulnerability for established players and opportunities for agile newcomers who can build omnichannel capabilities from the ground up.
Second, technology will play an even bigger role as the industry equalizer. The Sam's Club scan-and-go example is the perfect encapsulation of this idea. It shows how technology can completely flip traditional competitive dynamics. Warehouse clubs, once seen as inconvenient despite their pricing advantages, are at the tipping point of becoming more convenient (and value-laden) than traditional grocers. Retailers who boldly invest in finding new ways to use technology to flip their positioning on the convenience-value-brand spectrum stand to capture disproportionate market share, regardless of their historical positioning.
Third, merchandising is and will forever be the epicenter of retailing. As physical store differentiation becomes harder to achieve, creative merchandising becomes the primary weapon for driving foot traffic and brand loyalty. Retailers who cannot consistently surprise and delight customers with consistent in-stocks, innovative in-store displays, exciting product collaborations, and limited-time offerings will find themselves relegated to utility shopping only, which is about as big as a “Danger Will Robinson” position as there is.
As I look back on 2025, Walmart, hands down, is “winning.” Sure, it has scale. It is the biggest retailer going. But scale isn’t why Walmart is on the hot streak that it is. The real secret to Walmart’s success has been its incredible speed of adaptation, rather than the scale of its operation. Its scale only enhances the impact of successful adaptation.
That is the real punchline to the joke.
What got you here won’t get you there. The task at hand is to transform fast enough to remain relevant in a world where the rules of engagement are being rewritten all the time, by competitors both large and small.
For more data-driven insights, visit placer.ai/anchor.
2025 has been a year of comebacks for legacy retailers. Brands like Barnes & Noble, Gap, and Abercrombie & Fitch are seeing renewed momentum. And amid this wave of revivals, Beyond, Inc. and The Brand House Collective (formerly Kirkland’s Inc.) are betting on one of retail’s most iconic banners: Bed Bath & Beyond (BBB).
After acquiring Kirkland’s intellectual property, Beyond Inc. plans to rebrand 250–275 Kirkland’s stores as Bed Bath & Beyond Home and close the rest. The strategy aims to merge Kirkland’s real estate footprint with the trust and recognition of BBB – once the undisputed leader in home furnishings retail. Can the pull of nostalgia and the equity of a trusted brand rewrite the trajectory of a struggling home furnishings chain?
Kirkland’s, known for accessible home décor and furnishings, has long been a staple of the home furnishings sector. Yet like many of its peers, it has grappled with headwinds from softening discretionary spending. Since 2019, overall visits to the chain have steadily declined as the company downsized its store fleet – and most months of 2025 have continued to register year-over-year (YoY) foot traffic declines. Online performance has also lagged, with digital comparable sales dropping last quarter by double digits.
Still, the data also reveals signs of underlying brick-and-mortar strength. Over the past several quarters, Kirkland’s in-store comparable sales have remained relatively stable, with some quarters seeing slight increases and others modest declines. And as illustrated by the chart below, the chain’s reduced fleet has posted modest same-store visit gains through much of this year, suggesting that the company’s remaining stores may be well-positioned for a turnaround.
Against this backdrop, plans to merge Kirkland’s real estate footprint with the trust and recognition of BBB offer significant promise. The pie chart below offers a reminder of just how influential Bed Bath & Beyond once was: In 2019, BBB accounted for nearly one-fourth of all visits to the home furnishings sector nationwide, far outpacing rivals. While the company’s bankruptcy in 2023 suggested that brand power alone couldn’t offset operational missteps, the name still carries significant weight with consumers. For Kirkland’s, this partnership could provide the spark it needs for renewed growth.
The combination of Kirkland’s streamlined fleet and BBB’s brand equity creates a compelling recipe for revival. With the right execution – balancing nostalgia with modern retail practices – this collaboration could transform a fading chain into a leader once more.
To see up-to-date retail traffic trends, visit our free tools.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
Homewares and home decor chains have seen their share of ups and downs over the past few years, from pandemic highs to a discretionary retail slowdown – but some chains, especially high-end ones, are thriving. We took a look at visit data to four retailers – Restoration Hardware (RH), Le Creuset, and Sur La Table – to see what the visit data and demographics reveal about the segment.
Homewares are having a cultural moment – a shift that first gained momentum during the pandemic, when people stuck at home began investing deeply in their living spaces. Since then, social media’s influence has helped lifestyle-forward brands like RH and Le Creuset gain cultural cachet – and visits to these retailers have significantly outpaced the broader home improvement sector, as shown in the chart below.
This resilience – especially amid a broader retail slowdown – underscores how home decor and kitchenware are evolving into status and lifestyle symbols, with culinary aesthetics even finding expression in decor trends.
Although RH, Sur La Table, and Le Creuset all compete in the premium home goods segment, their different brand identities attract distinct audiences and lead to very different in-store behaviors.
RH and Sur La Table attract some of the most affluent, luxury-oriented shoppers in retail and consistently post long dwell times. Both brands use their store fleets not just as showrooms, but as platforms for high-margin services and experiences that extend engagement and drive revenue between product cycles.
Many flagship RH stores include a fine-dining restaurant, and the chain ties complimentary design consultations to a paid annual membership – both of which may resonate with younger “Educated Urbanites” who value elevated dining experiences and expert guidance as they furnish their first homes. Sur La Table, by contrast, generates fee-based revenue from cooking classes and curated international culinary trips, offerings that appeal most to “Booming with Confidence” households – prosperous, established couples eager to invest in premium food and travel experiences. By tailoring experiential services to the distinct aspirations of their core audiences, RH and Sur La Table demonstrate how luxury retailers can extend brand relevance, and sustain growth beyond traditional product sales.
Le Creuset, by contrast, follows a more sales-driven model. With a lower share of high-income households, the brand reaches aspirational, luxury-adjacent shoppers who may have less discretionary income for premium experiences. Store activations such as Factory-to-Table events are designed primarily to drive transactions rather than prolong visits. Le Creuset also over-indexes among “Singles and Starters” – younger, upwardly mobile shoppers who frequently discover the brand on social media. This group tends to conduct heavy online research before visiting, leading to shorter, purpose-driven trips where shoppers arrive ready to buy.
Together, the patterns suggest two distinct playbooks: RH and Sur La Table use experience to lengthen visits and monetize engagement between product cycles, while Le Creuset relies on highly considered, research-led purchases that translate into shorter, purpose-driven store trips.
The success of RH, Sur La Table, and Le Creuset highlights that there is no single formula for winning in luxury retail. Some brands lean on immersive experiences that extend and monetize engagement. Others focus on sales-driven activations that convert researched shoppers. What unites them is a sharp alignment between strategy and the values and behaviors of their core audiences – a positioning that enables them to thrive even amid broader retail headwinds.
For more retail data, visit our free tools.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
The recent revival of McDonald’s Extra Value Meal has fueled speculation that the quick-service restaurant (QSR) space might be gearing up for another round of value wars. Yet the data suggests that basic value offerings may no longer be enough to reliably drive traffic. To overcome consumer fatigue and heightened price sensitivity, brands must deliver promotions that truly stand out – whether through unusually deep discounts, memorable giveaways, or culturally resonant collaborations.
McDonald’s recent foot traffic trends illustrate this dynamic. Despite the chain’s Extra Value Meals relaunch, visits to McDonald’s dropped 4.4% year over year (YoY) during the week of September 8th and fell a further 5.2% and 3.7% over the next two weeks. These results pale in comparison to the brand’s April 2025 Minecraft Movie Meal collaboration, which generated consistent traffic boosts throughout its run.
The muted YoY impact of the new value meal doesn’t necessarily signal failure – after all, McDonald’s is lapping last year’s $5 Summer of Value campaign, which extended through 2024. But it highlights the limits of standard deals in a marketplace where consumers expect baseline value from QSR leaders. In an environment crowded with offerings – from Taco Bell’s Luxe Boxes, to Wendy’s Biggie Bags and Burger King’s 2 for $5 promotions – incremental savings feel less like innovation and more like table stakes.
Still, truly eye-catching promotions continue to break through – and McDonald’s 50-cent Double Cheeseburger deal on National Cheeseburger Day (September 18th, 2025) is a case in point. On the day of the promotion, visits jumped 6.4% compared to the chain’s recent Thursday average – showing that consumers remain highly responsive to promotions that feel unique and unmissable.
Pizza Hut’s summer promotions tell a similar story. The chain’s $2-Buck Tuesday deal, which offered a one-topping Personal Pan Pizza for just $2, drove a remarkable 63.2% YoY surge in Tuesday visits during its run (July 8th through August 26th, 2025). And although foot traffic continued to decline on other days of the week, the promotion’s Tuesday lift was enough to push overall weekly visits into positive territory for much of its duration.
Yet when Pizza Hut followed up with a more conventional $5 Crafted Flatzz menu in late August – available all week long until 5:00 PM – the response was far less dramatic. Though traffic held steady YoY during the first weeks of the launch, and the brand’s YoY visit gap has remained somewhat narrower since, consumers clearly differentiated between a “can’t-miss” deal and a “reasonable” discount.
Dairy Queen provides further illustration of both the power and the limits of value promotions in 2025. The chain’s annual Free Cone Day, held at the start of spring, generated an astonishing 326.7% spike in visits on Thursday, March 20th compared to the prior same-day average. The deal even outperformed 2024’s Free Cone Day, boosting weekly traffic 23.8% YoY despite lapping last year’s March 19th event. And an 85-cent Blizzard deal the following week extended the surge, lifting visits 31.2% YoY.
But when Dairy Queen relaunched the same 85-cent Blizzard offer in September (September 8th to 21st, 2025), results were far more muted. Seasonality likely played a role – ice cream naturally peaks in spring and summer, and wanes in colder weather. But repetition also dulls impact, and without the momentum of a free giveaway just days before, the fall promotion may have felt more routine.
The mixed results of McDonald’s, Pizza Hut, and Dairy Queen’s 2025 promotions show that standard value menus are no longer enough to stand out in today’s price-sensitive QSR market. The most effective deals offer consumers something they can’t get anywhere else – whether freebies, unusually deep discounts, or resonant pop-culture tie-ins. For QSRs, the challenge is to capture attention and disrupt routines without eroding margins through unsustainable discounting.
For more QSR insights, explore Placer.ai’s free industry trends tool.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
1. Expanded grocery supply is increasing overall category engagement. New locations and deeper food assortments across formats are bringing shoppers into the category more often, rather than fragmenting demand.
2. Grocery visit growth is being driven by low- and middle-income households. Elevated food costs are leading to more frequent, budget-conscious trips, reinforcing grocery’s role as a non-discretionary category.
3. Short, frequent trips are a major driver of brick-and-mortar traffic growth. Fill-in shopping, deal-seeking, and omnichannel behaviors are pushing visit frequency higher, even as trip duration declines.
4. Scale is accelerating consolidation among large grocery chains. Larger retailers are using their size to invest in value, assortment, private label, and execution, allowing them to capture longer and more engaged shopping trips.
5. Both large and small grocers have viable paths to growth. Large chains are winning by competing for the full grocery list, while smaller banners can grow by specializing, owning specific missions, or offering compelling value that earns them a place in shoppers’ routines.
While much of the retail conversation going into 2026 focused on discretionary spending pressure, digital substitution, and higher-income consumers as the primary drivers of growth, grocery foot traffic tells a different story.
Rather than being diluted by new formats or eroded by e-commerce, brick-and-mortar grocery engagement is expanding. Visits are rising even as grocery supply spreads across wholesale clubs, discount and dollar stores, and mass merchants. At the same time, growth is being powered not by affluent trade areas, but by low- and middle-income households navigating higher food costs through more frequent, targeted trips. Shoppers are showing up more often and increasingly splitting their trips across retailers based on value, availability, and mission – pushing grocers to compete for portions of the grocery list instead of the full weekly basket.
The data also suggests that the largest grocery chains are capturing a disproportionate share of rising grocery demand – but the multi-trip nature of grocery shopping in 2026 means that smaller banners can still drive traffic growth. By strengthening their value proposition, specializing in specific products, or owning specific shopping missions, these smaller chains can complement, rather than compete with, larger one-stop destinations.
Ultimately, AI-based location analytics point to a clear set of grocery growth drivers in 2026: expanded supply that increases overall engagement, more frequent and mission-driven trips, and continued traffic concentration among large chains alongside new opportunities for smaller banners.
One driver of grocery growth in recent years is simply the expansion of grocery supply across multiple retail formats. Wholesale clubs are constantly opening new locations and discount and dollar stores are investing more heavily in their food selection, giving consumers a wider choice of where to shop for groceries. And rather than fragmenting demand, this broader availability appears to have increased overall grocery engagement – benefiting both dedicated grocery stores and grocery-adjacent channels.
Grocery stores continue to capture nearly half of all visits across grocery stores, wholesale clubs, discount and dollar stores, and mass merchants. That share has remained remarkably stable thanks to consistent year-over-year traffic growth – so even as grocery supply increases across categories, dedicated grocery stores remain the primary destination for food shopping.
Meanwhile, mass merchants have seen a decline in relative visit share as expanding grocery assortments at discount and dollar stores and the growing store fleets of wholesale clubs give consumers more alternatives for one-stop shopping.
While much of the broader retail conversation heading into 2026 centers on higher-income consumers carrying growth, the trend looks different in the grocery space. Recent visit trends show that grocery growth has increasingly shifted toward lower- and middle-income trade areas, underscoring the distinct dynamics of non-discretionary retail.
For lower- and middle-income shoppers, elevated food costs appear to be translating into more frequent grocery trips as consumers manage budgets through smaller baskets, deal-seeking, and shopping across retailers. In contrast, higher-income households – often cited as a key growth engine for discretionary retail – are contributing less to grocery visit growth, likely reflecting more stable shopping patterns or a greater ability to consolidate trips or shift spend online.
This means that, in 2026, grocery growth is not being propped up by high-income consumers. Instead, it is being fueled by necessity-driven shopping behavior in lower- and middle-income communities – reinforcing grocery’s role as an essential category and suggesting that similar dynamics may be at play across other non-discretionary retail segments.
Another factor driving grocery growth is the rise in short grocery visits in recent years. Between 2022 and 2025, the biggest year-over-year visit gains in the grocery space went to visits under 30 minutes, with sub-15 minute visits seeing particularly big boosts. As of 2025, visits under 15 minutes made up over 40% of grocery visits nationwide – up from 37.9% of visits in 2022.
This shift toward shorter visits – especially those under 15 minutes – is driven in part by the continued expansion of omnichannel grocery shopping, as many consumers complete larger stock-up orders online and rely on in-store trips for order collection or quick, fill-in needs. At the same time, the rise in short visits paired with consistent YoY growth in grocery traffic points to additional, behavior-driven forces at play – consumers' growing willingness to shop around at different grocery stores in search of the best deal or just-right product.
Value-conscious shoppers – particularly consumers from low- and middle-income households, which have driven much of recent grocery growth – seem to be increasingly shopping across multiple retailers to secure the best prices. This behavior often involves making targeted trips to different stores in search of the strongest deals, a pattern that is contributing to the rise in shorter, more frequent grocery visits. At the same time, other grocery shoppers are making quick trips to pick up a single ingredient or specialty item – perhaps reflecting the increasingly sophisticated home cooks and social media-driven ingredient crazes. In both these cases, speed is secondary to getting the best value or the right product.
So while some shorter visits reflect a growing emphasis on efficiency – as shoppers use in-store trips to complement primarily online grocery shopping – others appear driven by a preference for value or product selection over speed. Despite their differences, all of these behaviors have one thing in common – they're all contributing to continued growth in brick-and-mortar grocery visits. Grocers who invest in providing efficient in-store experiences are particularly well-positioned to benefit from these trends.
As early as 2022, the top 15 most-visited grocery chains already accounted for roughly half of all grocery visits nationwide. And by outpacing the industry average in terms of visit growth, these chains have continued to capture a growing share of grocery foot traffic.
This widening gap suggests that scale is increasingly enabling grocers to reinvest in the factors that attract and retain shoppers. Larger chains are better positioned to invest in broader and more differentiated product selection, stronger private-label programs that deliver quality at accessible price points, competitive pricing, and operational excellence across stores and omnichannel touchpoints. These capabilities allow top chains to serve a wide range of shopping missions – from quick, convenience-driven trips to more intentional visits in search of the right product or ingredient.
Consolidation at the top of the grocery category is reinforcing a virtuous cycle: scale enables better value, selection, and experience, which in turn draws more shoppers into stores and supports continued grocery traffic growth.
In 2025, the top 15 most-visited grocery chains accounted for a disproportionate share of visits lasting 15 minutes or more, while smaller grocers captured a larger share of the shortest trips. As shown above, larger grocery chains, which tend to attract longer visits, grew faster than the industry overall – but short visits, which skew more heavily toward smaller chains, accounted for a greater share of total traffic growth. Together, these patterns show that both long, destination trips and short, targeted visits are driving grocery traffic growth and creating viable paths forward for retailers of all sizes.
Larger chains are more likely to serve as destinations for fuller shopping missions, competing for the entire grocery list – or a significant share of it. But smaller banners can grow too by competing for more short visits. By specializing in a specific product category, owning a clearly defined shopping mission, or delivering a compelling value proposition, smaller grocers can earn a place in shoppers’ routines and become a deliberate stop within a broader grocery journey.
As grocery moves deeper into 2026, growth is being driven by the cumulative effect of how consumers are navigating food shopping today. Expanded supply has increased overall engagement, higher food costs are driving more frequent and targeted trips, and shoppers are increasingly willing to split their grocery list across retailers based on value, availability, and mission.
Looking ahead, this suggests that grocery growth will remain resilient, but unevenly distributed. Retailers that clearly understand which trips they are best positioned to win – and invest accordingly – will be best placed to capture that growth. Large chains are likely to continue benefiting from scale, consolidation, and their ability to serve full shopping missions, while smaller banners can grow by earning a defined role within shoppers’ broader grocery journeys. In 2026, success in grocery will be less about winning every trip and more about consistently winning the right ones.
To optimize office utilization and surrounding activity in 2026, stakeholders should:
1. Plan for continued, but slower, office recovery. Attendance continues to rise and has reached a post-pandemic high, but moderating growth suggests the return-to-office may progress at a more gradual and incremental pace than in prior years.
2. Account for growing seasonality in office staffing, local retail operations, and municipal services. As office visitation becomes increasingly concentrated in late spring and summer, offices, downtown retailers, and cities may need to plan for more predictable peaks and troughs by adjusting hours, staffing levels, and local services accordingly, rather than relying on annual averages.
3. Align leasing strategies with seasonal demand. Stronger attendance in Q2 and Q3 suggests these quarters are best suited for leasing activity, while softer Q1 and Q4 periods may be better used for renovations, repositioning, and targeted activation efforts designed to draw workers in.
4. Design hybrid policies around midweek anchor days. With Tuesdays and Wednesdays consistently driving the highest office attendance, employers can maximize collaboration and space utilization by concentrating meetings, programming, and in-office expectations midweek.
5. Reduce early-week commute friction to support attendance. Monday office attendance appears closely correlated with commute ease, suggesting that reliable and efficient transportation may be an important factor in early-week office recovery.
6. Prioritize proximity in leasing and development decisions. Visits from employees traveling less than five miles to work have increased steadily since 2019, reinforcing the value of centrally located offices and housing near employment hubs.
2025 was the year of the return-to-office (RTO) mandate. Employers across industries – from Amazon to JPMorgan Chase – instituted full-time on-site requirements and sought to rein in remote work. But the year also underscored the limits of policy. As employee pushback and enforcement challenges mounted, many organizations turned to quieter tactics such as “hybrid creep” to gradually expand in-office expectations without triggering outright resistance.
For employers seeking to boost attendance, as well as office owners, retailers, and cities looking to maximize today’s visitation patterns, understanding what actually drives employee behavior has become more critical than ever. This reports dives into the data to examine office visitation patterns in 2025 – and explore how structural factors such as weather, commute convenience, and workplace proximity have emerged as key differentiators shaping how and when, and how often workers come into the office.
National office visits rose 5.6% year over year in 2025, bringing attendance to just 31.7% below pre-pandemic levels and marking the highest point since COVID disrupted workplace routines. At the same time, the pace of growth slowed compared to 2024, signaling a possible transition into a steadier phase of recovery.
With new return-to-office mandates expected in 2026, and the balance of power quietly shifting towards employers, additional gains remain likely. But the trajectory suggested by the data points toward gradual progress rather than a return to the more rapid rebounds seen in 2023 or 2024.
Before COVID, “I couldn’t come in, it was raining” would have sounded like a flimsy excuse to most bosses. But today, weather, travel, and individual scheduling are widely accepted reasons to stay home, reflecting a broader assumption that face time should flex around convenience.
This shift is visible in the growing seasonality of office visitation, which has intensified even as overall attendance continues to rise. In 2019, office life followed a relatively steady year-round cadence, with only modest quarterly variation after adjusting for the number of working days. In recent years, however, greater seasonality has emerged. Since 2024, Q1 and Q4 have consistently underperformed while Q2 and Q3 have posted meaningfully stronger attendance – a pattern that became even more pronounced in 2025. Winter weather disruptions, extended holiday travel, and the growing normalization of “workations” appear to be pulling some visits out of the colder, holiday-heavy months and concentrating them into late spring and summer.
For employers, office owners, downtown retailers, and city planners, this emerging seasonality matters. Staffing, operating budgets, and programming decisions increasingly need to account for predictable soft quarters and peak periods, making quarterly planning a more useful lens than annual averages. Leasing activity may also convert best in Q2 and Q3, when districts feel most active. Slower quarters, meanwhile, may be better suited for renovations, construction, or employer- and city-led programming designed to give workers a reason to show up.
The growing premium placed on convenience is also evident in the persistence of the TGIF workweek – and in the factors shaping its regional variability.
Before COVID, Mondays were typically the busiest day of the week, followed by relatively steady attendance through Thursday and a modest drop-off on Fridays. Today, Tuesdays and Wednesdays have firmly established themselves as the primary anchor days, while Mondays and Fridays see consistently lower activity. And notably, this pattern has remained essentially stable over the past three years – despite minor fluctuations – as workers continue to cluster their in-office time around the days that offer the most perceived value while preserving flexibility at the edges of the week.
At the same time, while the hybrid workweek remains firmly entrenched nationwide, its contours vary significantly across regions – and the data suggests that convenience is once again a key differentiator.
Across major markets, a clear pattern emerges: Cities with higher reliance on public transportation tend to see weaker Monday office attendance, while markets where more workers drive alone show stronger early-week presence. While industry mix and local office culture still matter, the data points to commute hassle as another factor potentially shaping Monday attendance.
New York City, excluded from the chart below as a clear outlier, stands as the exception that proves the rule. Despite nearly half of local employees relying on public transportation (48.7% according to the Census 2024 (ACS)), the city’s extensive and deeply embedded transit system appears to reduce perceived friction. In 2025, Mondays accounted for 18.4% of weekly office visits in the city, even with heavy transit usage.
The contrast highlights an important nuance: Where transit is fast, frequent, and integrated into daily routines, it can support office recovery, offering a potential roadmap for other dense urban markets seeking to rebuild early-week momentum.
Another powerful signal of today’s convenience-first mindset shows up in commute distances. Since 2019, the share of office visits generated by employees traveling less than five miles has steadily increased, largely at the expense of mid-distance commuters traveling 10 to 25 miles.
To be sure, this metric reflects total visits rather than unique visitors, so the shift may be driven by increased visit frequency among workers with shorter, simpler commutes rather than a change in where employees live overall. Still, the pattern is telling: Workers with shorter commutes appear more likely to generate repeat in-person visits, while longer and more complex commutes correspond with fewer trips. Over time, this dynamic could shape office leasing decisions, residential demand near employment centers – whether in urban cores or in nearby suburbs – and the geography of the workforce.
Taken together, the data paints a clear picture of the modern return-to-office landscape. Attendance is rising, but behavior is no longer driven by mandates alone. Instead, workers are making rational, convenience-based decisions about when coming in is worth the effort.
For cities, the implication is straightforward: Ease of access matters. Investments in transit reliability, last-mile connectivity, and housing near employment centers can all play a meaningful role in shaping how consistently people show up. For employers, too, the lesson is that the path back to the office runs through convenience, not just compulsion, as attendance gains are increasingly driven by how effectively organizations reduce friction and increase the perceived value of being on-site.
1. AI is raising the bar for physical retail as shoppers arrive more informed, more intentional, and less tolerant of friction – though the impact varies by category and format.
2. As discovery shifts upstream, stores increasingly serve as confirmation rather than discovery points where shoppers validate decisions through hands-on experience and expert guidance.
3. AI-based tools can improve in-store performance by removing operational friction – shortening trips in efficiency-led formats and supporting deeper engagement in experience-led ones.
4. By embedding expertise directly into frontline workflows, AI helps retailers deliver consistent, high-quality service despite high turnover and limited training windows.
5. AI enables precise, location-specific marketing and execution, allowing retailers of any size to align assortments, staffing, and messaging with real local demand.
6. Retailers can also use AI to manage their store fleets with greater discipline and understand where to expand, where to avoid cannibalization, and where to rightsize based on observed demand rather than static assumptions.
7. AI is not a universal lever in physical retail; its value depends on the store format, and in discovery-driven models it should support operations behind the scenes rather than reshape the customer experience.
Physical retail has faced repeated claims of obsolescence, from the rise of e-commerce to the shock of COVID. Each time, analysts predicted a structural decline in brick-and-mortar. And each time, physical retail adapted.
AI has triggered a similar round of predictions. Much of the current discussion frames retail’s future as a binary outcome: either stores become heavily automated, or e-commerce becomes so optimized that physical locations lose relevance altogether.
But past disruptions point in a different direction. E-commerce changed how physical retail operated by raising expectations for omnichannel integration, speed, and clarity of purpose. Retailers that adjusted store formats, merchandising, and operations accordingly went on to drive sustained growth.
AI likely represents another inflection point for physical retail. As shoppers arrive with more information, clearer intent, and even less tolerance for friction than in the age of "old-fashioned" e-commerce, physical stores will remain – but the standards they are held to continue to rise.
This report presents four ways retailers are using AI to get – and stay – ahead as physical retail adapts to this next wave of disruption.
E-commerce moved discovery earlier in the shopping journey. Instead of beginning the process in-store, many shoppers now arrive at brick-and-mortar locations after having deeply researched products, comparing options, and narrowing choices online – entering the store to validate rather than initiate their purchasing decision.
AI-powered shopping accelerates this pattern. Conversational assistants, recommendation engines, and AI-driven discovery across search and social reduce the time and effort required to evaluate options – and this shift is changing consumers' expectations around the in-store experience.
Apple shows what it looks like when a physical store is built for well-informed shoppers. Given the prevalence of AI-powered search and assistants in high-consideration categories like consumer electronics, Apple customers likely arrive at the Apple Store with more preferences already shaped by AI-assisted research than other retail categories.
Apple Stores were designed for this kind of customer long before AI became widespread. The layout puts working products directly in customers’ hands, merchandising emphasizes live use over promotional signage, and associates are trained to answer detailed technical questions rather than walk shoppers through basic options.
That alignment is showing up in store behavior. Even as AI-powered shopping expands, Apple Stores continue to see rising foot traffic and longer visits thanks to the store's specific and curated role in the customer journey – a place where customers confirm decisions through hands-on experience and expert guidance.
Some applications of AI extend trends that e-commerce has already introduced. Others address operational challenges that previously required manual coordination or tradeoffs.
AI can reduce friction and make store visits more predictable by improving staffing allocation, reducing checkout delays, optimizing inventory placement, and managing traffic flow. These changes reduce friction without altering the visible customer experience.
Sam's Club offers a clear, recent example of AI solving a specific in-store bottleneck. For years, customers completed checkout only to face a second line at the exit, where an employee manually scanned paper receipts and spot-checked carts.
In early 2024, Sam’s Club introduced computer vision-powered exit gates, allowing customers to exit the store without stopping as AI algorithms instantly captured images of the items in their carts and matched them against digital purchase data. Employees previously tasked with receipt checks could now shift their focus to member assistance and in-store support.
The impact was measurable. Sam’s Club reported that customers now exit stores 23% faster than under manual receipt checks, a result confirmed by a sustained nationwide decline in average dwell time. During the same period, in-store traffic increased 3.3% year-over-year – demonstrating how removing friction with AI can deliver tangible gains.
AI optimizes stores for different outcomes. At Sam’s Club, it shortens visits by removing friction from task-driven trips. At Apple, upstream research leads to longer visits focused on testing, questions, and decision validation. In both cases, AI aligns store execution with shopper intent – prioritizing speed and throughput in efficiency-led formats and deeper engagement in experience-led ones.
Beyond shaping store roles and streamlining operations, AI can also address a long-standing challenge in physical retail: delivering consistent, high-quality expertise on the sales floor despite high turnover and seasonal staffing. In the past, retailers relied on heavy training investments that often failed to pay off. AI can now embed that expertise directly into frontline workflows, allowing associates to deliver confident, informed service regardless of tenure and strengthening the in-store experience at scale.
In May 2025, Lowe’s rolled out a major in-store AI enhancement called Mylow Companion, an AI-powered assistant that equips frontline staff with real-time, expert support on product details, home improvement projects, inventory, and customer questions.
Mylow Companion is embedded directly into associates’ handheld devices, delivering instant guidance through natural, conversational interactions, including voice-to-text. This enables even newly hired employees to provide confident, expert-level advice from day one, while helping experienced associates upsell and cross-sell more effectively. The tool complements Mylow, a customer-facing AI advisor launched the same year to help shoppers plan projects and discover the right products, leading to increased customer satisfaction.
While AI alone cannot solve demand challenges—especially amid macroeconomic pressure on large-ticket discretionary spending—early signals suggest it may still play a meaningful role. Location analytics indicate narrowing year-over-year visit gaps at Lowe’s post-deployment, pointing to a potentially improved in-store experience. And Home Depot’s recent announcement of agentic AI tools developed with Google Cloud suggests that these technologies are becoming table stakes in this category.
As more retailers roll out similar capabilities, those that moved earlier are better positioned to help set the bar – and benefit as the market adapts.
Beyond improving the in-store experience, AI also gives retailers a powerful way to drive foot traffic through precision marketing. By processing large volumes of behavioral, location, and timing data, AI can help retailers decide who to reach, when to engage them, where to activate, and what message or assortment will resonate – shifting marketing from broad seasonal pushes to campaigns grounded in local demand.
Target offers an early example of this approach before AI became widespread. Stores near college campuses have long tailored assortments and messaging around the academic calendar, especially during the back-to-school season. In August, these locations emphasize dorm essentials, compact storage, bedding, tech accessories, and affordable décor – supported by campaigns aimed at students and parents preparing for move-in. That localized approach has been effective in driving in-store traffic to Target stores near college campuses, with these venues seeing consistent visit spikes every August and outperforming the national average across multiple back-to-school seasons from 2023 to 2025.
AI makes local execution repeatable at scale. By analyzing visit patterns, past performance, and timing signals across thousands of locations, retailers can decide which products to promote, how to staff stores, and when to run campaigns at each location. Marketing, merchandising, and store operations then act on the same demand signals instead of separate assumptions.
Crucially, AI makes this level of localization accessible to retailers of all sizes. What once required the resources and institutional knowledge of a big-box giant can now be achieved through precision marketing and demand forecasting tools, allowing brands to adapt each store’s messaging, assortment, and execution to the unique rhythms of its community.
Beyond improving performance at individual stores, AI can also give retailers a clearer view of how their entire store fleet is working – and where it should grow, contract, or change. By analyzing foot traffic patterns, trade areas, customer overlap, and visit frequency across locations, AI helps retailers identify which sites are truly reaching their target audiences and which are underperforming relative to local demand.
AI also plays a critical role in smarter expansion. Retailers can use it to identify markets and neighborhoods where demand is growing, customer overlap is low, and incremental visits are likely – reducing the risk of cannibalization when opening new stores. By modeling how shoppers move between existing locations, AI can flag when a proposed site will attract new customers versus simply shifting traffic from nearby stores, grounding expansion decisions in observed behavior rather than demographic proxies or intuition alone.
Equally important, AI helps retailers recognize when expansion no longer makes sense. By tracking total fleet traffic, visit growth, and trade-area saturation, retailers can assess whether new stores are adding net demand or diluting performance. The same signals can identify locations where demand has structurally declined, informing rightsizing decisions and store closures. In this way, AI supports a more disciplined approach to physical retail – one that treats the store fleet as a dynamic system to be optimized over time, rather than a footprint that only grows.
The impact of AI on physical retail will vary significantly by category and format. Not every successful store experience is built around efficiency, prediction, or pre-qualification. Retailers with clearly differentiated offline value don’t necessarily benefit from forcing AI into customer-facing experiences that dilute what makes their stores work.
“Treasure hunt” formats are a clear example. Off-price retailers like TJ Maxx, Marshalls, Ross, and Burlington continue to drive strong traffic by offering unpredictability, scarcity, and discovery that cannot be replicated – or meaningfully enhanced – through AI-driven search or recommendation. The appeal lies precisely in not knowing what you’ll find. For these retailers, heavy investment in AI-led personalization or pre-shopping guidance risks undermining the core experience rather than improving it.
Similar dynamics apply in other categories. Independent boutiques, vintage stores, resale shops, and certain specialty retailers succeed by offering curation, serendipity, and human taste rather than optimization. In these cases, AI may still play a role behind the scenes – supporting inventory planning, pricing, or site selection – but it should not reshape the customer-facing experience. AI is most valuable when it reinforces a retailer’s existing value proposition. Formats built around discovery, surprise, or experiential browsing should protect those strengths, even as other parts of the retail landscape move toward greater efficiency and intent-driven shopping.
AI is forcing physical retail to evolve with intention. By creating a supportive environment for customers who arrive with made-up minds, removing friction inside the store, offering the best in-store services, and orchestrating demand with greater precision, retailers are adapting to the new world standards set by AI. All five strategies focus on aligning stores with shopper intent – what customers want, how the store supports it, and when the interaction happens.
The retailers that win in this next era won’t be the ones that use AI to simply automate what already exists. They’ll be the ones that use it to sharpen the role of physical retail – turning stores into places that help shoppers validate decisions, deliver value beyond convenience, and show up at exactly the right moment in a customer’s journey.
In the age of AI, physical retail wins by becoming more intentional – designed around informed shoppers, optimized for the right outcome in each format, and activated at moments when demand is real.
