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Dine Brands, which owns and operates IHOP, Applebee’s, and Fuzzy’s Taco Shop, is a major name in the full-service casual-dining restaurant segment. We took a look at how its two largest brands – IHOP and Applebee’s – performed in 2024.
The full-service dining segment has experienced its fair share of challenges over the past years, with pandemic-era closures and inflation weighing on restaurant visits. And Dine Brands’ largest chains, IHOP and Applebee’s, were not immune to these challenges, with YoY visits down by 3.6% and 3.0%, respectively, in 2024.
Applebee’s closed a number of locations throughout 2024, a move that likely contributed to the relative stability of its visits per location metrics: Q4 2024’s visits per location were just 1.6% lower than in Q4 2023 compared to a YoY decline of 3.9% in overall traffic. The brand’s emphasis on value may also have helped Applebee’s narrow its YoY visit gap between Q3 and Q4, as its $9.99 Really Big Meal Deal – launched in November 2024 and extended into 2025 – likely drove traffic from budget-conscious patrons.
IHOP and Applebee’s dominate in their own distinct dayparts – IHOP in the mornings and Applebee’s in the evenings. This diversity allows Dine Brands to effectively "own the clock" and cater to a range of dining preferences throughout various times of day.
Perhaps unsurprisingly – the word “pancake” is in its name – IHOP primarily attracts guests during morning hours, with 46.6% of its visits occurring between 6:00 AM and 12:00 PM. In contrast, Applebee’s serves as a popular post-work and dinner destination, with 56.0% of its visits taking place after 6:00 PM.
And recognizing the value of owning the clock in this way, Dine Brands unveiled its newest concept – a dual-branded IHOP-Applebee’s, with the first opening in February in Seguin, Texas and another twelve slated to open throughout 2025. This approach, which Dine Brands already piloted in international markets, allows diners the option to mix and match from IHOP and Applebee’s most popular menu items.
Beyond visit timing, IHOP and Applebee’s also serve distinct customer demographics, further reinforcing their complementary strengths. In 2024, 28.5% of households in IHOPs’ captured market were households with children, compared to 26.7% for Applebee’s. IHOP also saw larger shares of “Singles & Starters” in its captured market – defined by the Experian: Mosaic dataset as young singles and starter families living a city lifestyle.
Meanwhile, Applebee’s attracted visitors coming from captured markets with older audiences, with 9.4% of its visitors falling into the "Autumn Years" category – nearly double IHOP’s 5.0% share.
These distinctions mean that Dine Brands isn’t just spreading its traffic across different times of day – it also is capturing consumers across different life stages. By offering something for a variety of diners, the restaurant group can continue driving visits across multiple dining needs and occasions.
Despite weathering their fair share of challenges in 2024, IHOP and Applebee’s are innovating as 2025 gets underway.
For the latest data-driven dining insights, visit Placer.ai.
Best Buy has long been a go-to destination for consumers looking for the latest tech – but like many retailers, it has faced challenges in recent years. We dove into the data to explore the latest visitation trends for Best Buy and the demographics of visitors that are driving traffic to the chain.
Best Buy’s visits lagged in 2024 (7.0% below 2023 levels), but the company continues to invest in a real estate strategy aimed at improving consumer engagement. To leverage its store fleet most efficiently, Best Buy is closing traditional large-format stores while opening smaller-format ones to provide a tailored experience to consumers – often in small and midsized markets previously untapped by the retailer.
And Best Buy may already be reaping the benefits of this strategy; in January 2025, the retailer received a 0.4% YoY boost in foot traffic. As the chain continues to optimize its real estate footprint, it could be on track to drive more visit growth in the near future – particularly as more shoppers replace consumer electronics purchased during the pandemic.
Drilling down to daily visitation over the holiday season further highlights Best Buy’s momentum going into 2025. Best Buy consistently drives traffic during critical retail moments, and 2024 was no exception.
On Black Friday 2024, the retailer saw a 473.1% visit boost compared to the daily average for 2024. And the foot traffic surge continued the following day (Black Saturday, 162.4%) as consumers likely continued to take advantage of the weekend’s discounts.
And as was the case in previous years, Best Buy’s traffic picked up as Christmas 2024 neared, with significant visit spikes on Super Saturday (199.0%), Panic Sunday (151.3%), and Christmas Eve Eve (171.7%). Best Buy also saw elevated traffic post-Christmas traffic on Boxing Day (128.0%), when consumers likely looked to exchange gifts or set up their new tech with the help of the renowned Geek Squad.
Of course, Best Buy is more than just a holiday shopping destination. And analysis of audience segmentation for the retailer reveals that families are overrepresented in the chain’s captured* market relative to its potential* market – indicating that this segment in particular drives significant traffic year-round.
According to the AGS: Demographic Dimensions dataset, in 2024, the average household size in Best Buy’s potential market was 2.49 people compared to 2.64 people in the chain’s captured market. Married couples with children were also more heavily represented in the chain’s captured market (33.4%) compared to its potential market (32.0%), suggesting a relatively larger share of visitors from family households among Best Buy’s visitors.
Further analysis of audience segments within the chain’s captured and potential markets indicates that visitors from a variety of family types are drawn to Best Buy. According to the Spatial.ai: PersonaLive dataset, residents belonging to the “Wealthy Suburban Families”, “Upper Suburban Diverse Families”, “Near-Urban Diverse Families”, and “Blue Collar Suburbs” segments were all over-represented in Best Buy’s captured market compared to its potential market. This suggests that visitors from different types of family households – working-class, wealthy, urban, and suburban – are driving traffic to Best Buy.
Perhaps families are drawn to Best Buy’s expanding experiential format, where visitors of all ages can get hands-on with LEGO and explore home theater set ups worthy of a family movie night.
*A chain or venue’s potential market is derived by the census block groups (CBGs) from which the retailer draws its visitors weighted by the population size of each, whereas a captured market is derived from the same CBGs weighted by the share of visits from each, and thus reflects the population that actually visits the chain or venue.
Best Buy’s ability to drive traffic through strategic store formats, holiday shopping surges, and family households highlights the company’s ongoing relevance in the evolving consumer electronics landscape. With early signs of a foot traffic resurgence, Best Buy appears to have positioned itself for continued success in 2025.
Want more data-driven retail insights? Visit Placer.ai.
Our hearts go out to all those affected by the recent Los Angeles wildfires. Many Angelenos, in search of a sense of normalcy and diversion, have turned to a familiar and comforting place—the mall.
On the west side of Los Angeles, Third Street Promenade in Santa Monica experienced a significant surge in weekly visitation compared to a baseline of January 6th-12th 2025. This increase is not surprising, as many Palisadians fled south to Santa Monica hotels and rentals, allowing them to stay close to their neighborhoods, children’s schools, and social circles.
Westfield Century City and The Grove also saw increased foot traffic, as both malls serve as key gathering spots in their communities and feature state-of-the-art movie theaters, providing a few hours of escape. Additionally, their upgraded HVAC systems—enhanced post-pandemic—may offer an added layer of comfort for visitors. Similarly, Westfield Topanga, a familiar shopping destination for residents of the San Fernando Valley, saw an uptick in visits during the second half of January. And traffic at these shopping destinations was still elevated as of mid-February, suggesting that at least some displaced residents are likely staying in the area in the more medium-term.
Some Palisadians have opted to relocate much farther south, though this migration appears to have had a more dispersed effect on shopping patterns. As a result, we do not see a significant impact on visitation to South Bay shopping centers like Manhattan Village and Del Amo Fashion Center.
While reports have mentioned some Palisadians moving to Newport Beach—a community that shares similar demographics with the Palisades—the influx does not appear to be large enough to meaningfully shift mall visitation patterns in January. Additionally, given the circumstances, it is unlikely that many displaced residents would be making frequent trips to Fashion Island or South Coast Plaza. Instead, those who have temporarily relocated to the area are likely settling in as newly arrived locals.
If we examine the year-over-year (YoY) change in visits from specific ZIP codes, Placer data reveals a significant surge in visitation to Third Street Promenade from the Pacific Palisades during January 2025, with visits increasing by 20.4% compared to the same period last year.
Demographic analysis of the Third Street Promenade’s trade area also indicates that the shopping corridor drew a higher proportion of family households and more affluent audience segments – perhaps thanks to the influx of visitors from the Palisades.
Amid the disruption caused by the wildfires, shopping centers have stepped in as steady community spaces rather than just retail venues. The uptick in foot traffic at locations like Third Street Promenade and Westfield Century City shows that these malls are serving as reliable hubs for daily routines and social connection, offering residents practical support as they navigate uncertain times.
In the wake of the devastating wildfires across the greater Los Angeles area, retailers—both local and national—have played a crucial role in providing relief, comfort, and a sense of community for those impacted. Retail is an industry that touches consumers’ lives daily, often more frequently than most other businesses. Because retailers fulfill a wide range of needs, they have become essential partners in supporting communities facing unimaginable crises.
In the immediate aftermath of the Palisades and Eaton Fires, retailers transformed their stores into donation hubs, offering displaced individuals essential items such as clothing and N95 masks. Major brands, including J.Crew, Gap Inc., and Free People, quickly repurposed their stores to serve as distribution centers. Free People even opened an entirely new shop in Santa Monica—Free Shop by Free People and FP Movement—where affected residents could book time slots to browse and collect necessary items. Beyond national retailers, Los Angeles-based brands also stepped up to support fire victims. Babyletto, a juvenile furniture brand, donated cribs to displaced families, while apparel company Big Bud Press launched new collections with proceeds benefiting the Pasadena Jobs Center.
While retail depends on consumerism, its role over the past month has extended beyond sales, making a profound impact on the local community. Many retailers in the discretionary sector opened their doors to directly assist affected families, demonstrating that physical retail spaces can be used for more than just commerce. By taking action on the ground rather than simply offering monetary donations, retailers provided immediate, tangible support to those in need.
Three specific retail locations in Los Angeles exemplified this effort, with Placer’s data revealing just how meaningful their initiatives were. Gap’s Santa Monica store was among the first to pivot toward relief efforts, distributing new Gap merchandise and PPE to community members beginning on January 11th. Alo Yoga’s Beverly Hills location provided care kits to impacted residents between January 14th and 16th. Meanwhile, Babylist, an online registry service with a physical showroom in Beverly Hills, hosted donation days on January 21st and 28th, allowing displaced families to shop for free and replace lost items.
Placer’s foot traffic estimates suggest that these relief efforts were well-received and widely utilized. Each of these locations saw an increase in visits during the weeks their relief initiatives took place, surpassing the average January baseline. The data underscores how critical these retailer-driven efforts were in supporting Los Angeles families and providing much-needed aid during a difficult time.
During Alo Yoga’s donation event from January 14th to 16th, there was a noticeable increase in visitation from across the greater Los Angeles area, drawing new traffic beyond the Beverly Hills neighborhood. Compared to January baseline trends, the week of January 13th saw a higher share of visits originating from 3 to 10 miles away. More significantly, visits also increased from 10 to 30 miles away, likely including individuals affected by the Eaton Fire. In contrast, visits from over 250 miles away declined, underscoring the sharp drop in tourism to Los Angeles during the peak of the wildfire crisis.
Babylist’s LA showroom opened its doors to families in need, offering a space to replace essential baby items lost in the fires. These relief events attracted a different visitor mix than the store typically sees, providing immediate support for young families and grandparents. According to PersonaLive’s visitor segmentation, during the weeks Babylist hosted its relief events, there was a higher distribution of visits from Educated Urbanites, Young Professionals, and Sunset Boomers. In contrast, the full-month January data showed a greater share of visits from Ultra Wealthy Families. This shift highlights how retailer-led relief efforts were actively utilized by those in need, reinforcing the critical role local businesses can play in supporting communities during crises.
Retailers play a vital role in the communities they serve, and their ability to provide immediate support in Los Angeles through physical stores allowed for faster distribution of donations and aid. The best-in-class relief strategies implemented by these retailers should serve as a blueprint for others to follow, reinforcing the importance of brick-and-mortar stores as essential community assets during times of crisis and recovery.
2024 was a challenging year for the restaurant industry, marked by increased competition from other food retail channels, intensified value wars, and rising operational costs, all of which contributed to a surge in bankruptcies. The start of 2025 has been equally difficult.
Despite these challenges, our data continues to show strong consumer demand for dining out. However, the way consumers interact with restaurants is evolving more than ever before. Below, we highlight several key shifts in consumer behavior that restaurant operators, suppliers, and investors should consider in the year ahead.
With Starbucks' renewed focus on its coffeehouse roots under CEO Brian Niccol, an important question emerges: have today’s restaurants become too complex? Starbucks originally built its brand as a “third place” away from home and work – an inviting space for customers to gather. However, this focus began shifting about a decade ago with the rollout of Mobile Order and Pay. As e-commerce surged in the early 2010s, consumers became accustomed to making purchases online or via mobile apps, making digital ordering a necessity for most retailers and restaurants. Yet, prioritizing convenience through mobile ordering and pickup created a disconnect with Starbucks’ experience-driven identity, leading to friction between its convenience-oriented and experience-focused customers.
This tension between experience and convenience has been a challenge for many restaurant operators in recent years. It explains why QSR chains have reduced store footprints while expanding drive-thru capacity, why fast-casual and casual-dining restaurants have increasingly adopted pickup and drive-thru windows, and why many chains now allocate dedicated space for delivery orders. Even Darden, long resistant to third-party delivery, ultimately embraced it to adapt to changing consumer behavior.
Visitation trends in 2024 reinforced the difficulty of balancing experience and convenience within the same restaurant model. Among chains with more than 100 locations, those with the highest year-over-year (YoY) growth in visits per location were largely drive-thru specialists, such as Raising Cane’s, In-N-Out Burger, 7 Brew Coffee, and PJ’s Coffee. Meanwhile, non-drive-thru leaders like CAVA and Chipotle thrived by focusing on customization, underscoring that consumers are willing to pay a premium for personalized experiences that align with their preferences.
The rise of convenience-based restaurants does not signal the end of experiential dining – far from it. Below, we’ve outlined monthly year-over-year (YoY) visit trends for major restaurant categories in 2024. While QSR value wars dominated industry headlines throughout the year, casual- and fine-dining chains actually outperformed the QSR segment in YoY visit growth.
Some of this success can be attributed to well-executed promotions, such as Chili’s "3 for Me" deal – which helped the chain finish just behind Raising Cane’s in visit-per-location growth for 2024 – and Buffalo Wild Wings’ "All You Can Eat Wings" promotion. However, the strong YoY performance of fine-dining chains further underscores that experience-driven dining remained highly in demand throughout the year.
We also see this trend reflected in dwell time across the restaurant industry. With the rise of drive-thru and takeout orders during and after the pandemic, combined with advancements in mobile ordering technology, it’s no surprise that dwell times for limited-service restaurants have remained below pre-pandemic levels (below). However, the opposite is happening in full-service restaurant categories, where dwell times are on par with or even exceeding pre-pandemic levels.
While many casual dining chains have seen an increase in takeout and delivery orders over the past few years, the growth of experiential dining concepts like Kura Sushi and GEN Korean BBQ, along with the continued expansion of eatertainment venues such as Topgolf, Puttshack, and Pinstripes—where dwell times often exceed 90 minutes—has helped maintain overall category dwell times. Meanwhile, the increase in dwell time for fine-dining establishments suggests that guests are making the most of their time when dining out, reinforcing the growing consumer preference for experience over convenience.
We've previously highlighted the importance of familiarity in consumer dining decisions, particularly in a challenging macroeconomic environment. With years of elevated inflation across food, rent, healthcare, and insurance, consumers have fewer discretionary dollars to spend. As a result, when they choose to dine out, they gravitate toward brands they know and trust.
In collaboration with the team at Bloomberg Second Measure, we analyzed data on the percentage of revenue generated from new customers at both full-service and limited-service restaurants. Our findings revealed a noticeable decline in new customer revenue during the second half of 2024, further reinforcing the idea that consumers are prioritizing familiarity when making dining choices.
This preference for familiar brands may be creating challenges for restaurant chains expanding into new markets. Traditionally, a new restaurant location in an unfamiliar market could expect to generate around 75% of the sales/visits seen in an established market—after an initial “honeymoon” phase when consumers try the brand for the first time. However, our data suggests that visit trends for restaurants entering new markets are now significantly lower than historical averages. Unsurprisingly, many operators have told us that their 2025 expansion plans will prioritize in-filling existing markets rather than expanding into new ones.
Portillo’s—the Chicago-based chain known for its Chicago-style hot dogs, Italian beef sandwiches, and char-grilled burgers—has experienced mixed visit trends when entering new markets. Below, we present visit per location trends for Portillo’s nationwide, in its home market of Chicago, and in several states where it has expanded in recent years. In its latest investor presentation, Portillo’s acknowledged that its average unit volumes are highest in its home market ($11.3 million in sales per location), compared to other Midwest markets ($6.0 million) and Sunbelt locations ($6.6 million). While these figures are still strong, they reflect the broader challenge that many restaurant brands face when expanding beyond their core markets.
Conclusion
As the restaurant industry navigates 2025, operators must strike a delicate balance between convenience and experience while adapting to shifting consumer preferences. The demand for dining out remains strong, but consumers are making more intentional choices, favoring trusted brands and prioritizing either speed and efficiency or immersive, experiential dining. At the same time, new market expansion presents growing challenges, with visit trends suggesting a preference for familiarity over novelty. As brands refine their strategies, those that successfully integrate innovation with operational excellence—whether through streamlined digital convenience, compelling promotions, or differentiated in-store experiences—will be best positioned for long-term success in an increasingly competitive landscape.
Sprouts Farmers Market and Dutch Bros. have seen impressive foot traffic growth over the past few years. We analyzed their visitation metrics for 2024 to understand what’s driving their continued success.
Both Sprouts and Dutch Bros. posted impressive visitation numbers throughout 2024, with visits for the full year elevated by 7.3% and 15.8%, respectively, compared to 2023. This momentum caps off several years of sustained growth – particularly for Dutch Bros. – which has expanded rapidly while maintaining consistent foot traffic increases. And though average visits per location at Dutch Bros. were slightly down YoY in 2024, the visit gaps were relatively modest – indicating that the chain is succeeding in expanding with minimal cannibalization to its existing venues.
Sprouts also expanded with dozens of new stores over the past year – and the chain’s foot traffic metrics suggest strong shopper interest in these openings. The health-forward grocer saw visits per location rise in the second half of the year, capping off Q4 2024 with a 5.0% YoY increase.
The two chains have kept their visit growth going into the new year. Weekly visits to both Sprouts and Dutch Bros. grew all weeks analyzed, a promising sign as 2025 gets underway.
Smoothies are having a major moment, fueled by the growing nationwide focus on health and wellness – an area where Sprouts has successfully positioned itself as a leader. Now, the chain is doubling down on its wellness-focused strategy by introducing smoothies at select locations.
Many Sprouts locations offer smoothies to go – but the chain has also been investing in in-store smoothie bars, allowing shoppers to enjoy a fresh, healthy drink while browsing or take one on the go. Visits to a Cerritos, California location jumped following the introduction of a smoothie bar in January 2025, with YoY monthly visits exceeding the Sprouts nationwide average for the first time in the analyzed period – perhaps thanks to excited reviews posted on social media.
By offering smoothies that are more affordable than some of the viral options trending online, Sprouts is solidifying itself as a go-to destination for shoppers seeking wellness-driven choices without breaking the bank.
While Sprouts is expanding into new beverage categories, Dutch Bros is focusing on building out its food offerings. The chain has traditionally been strongest in the afternoon and evening, bucking the usual trends for caffeine-focused brands. To that end, Dutch Bros. has focused on attracting more morning visitors, both by expanding its mobile ordering capabilities and by testing a new food menu in select locations.
The data suggests that the company’s focus on the morning daypart may amplify changes in Dutch Bros. consumer behavior that are already underway. Between January 2024 and January 2025, the share of visits during morning hours saw a small but meaningful uptick. The share of visits during the 6:00 AM to 11:00 AM daypart grew from 28.4% to 29.5% of daily visits, while the share of evening visits (4:00 PM to 9:00 PM) decreased. While the brand still maintains a strong presence later in the day, this shift could be a sign that Dutch Bros is successfully nudging consumers toward earlier-day coffee runs.
Sprouts and Dutch Bros. are thriving by gearing their offerings to their customer bases. By leaning into health-forward beverages and early-morning visits, the two chains are driving visits and interest.
For more data-driven 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.
