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The Men’s Final Four tips off this week in Indianapolis, IN, with UConn, Illinois, Arizona, and Michigan all vying for the title. While much of the attention will center on the action inside Lucas Oil Stadium, the experience extends far beyond the court, with a series of events unfolding across downtown. To better understand the impact of this multi-day spectacle, we looked back at last year’s Final Four in San Antonio, TX – examining the moments that drove meaningful consumer engagement and what they could signal for this year’s conclusion to March Madness.
Much like this year’s Final Four in Indianapolis, IN, the 2025 event in San Antonio, TX was spread over several days and multiple downtown locations. The Alamodome hosted the semifinals and national championship, while Fan Fest – a hub for sponsor activations, presentations, and interactive experiences – took place at the nearby Henry B. González Convention Center. Just outside, in Hemisfair’s Tower Park and Civic Park, free concerts, watch parties, giveaways, and games captured fan engagement beyond the arena.
AI-powered analysis of the 2025 Final Four revealed that fans attending a semifinal or national championship game were likely to have a higher household income (HHI) than visitors to other Final Four events – a trend consistent with the premium ticket prices associated with a national tournament. The free or low-cost admission to Fan Fest, Tip-Off Tailgate, and the Music Festival, on the other hand, meant that visitors to the convention center and Hemisfair were more likely to have a household income aligned with state and nationwide benchmarks.
This underscores the importance of layered engagement during a high-profile sporting event. Not every fan will splurge on game tickets, but a diverse mix of accessible experiences allows a broader audience to participate. By investing in these touchpoints, organizers expand the event’s reach and amplify its overall impact.
A deeper dive into the 2025 Final Four highlights how each venue attracted a distinct audience segment – working together to create a more complete, destination-worthy experience for a wide range of fans.
Trade area analysis underscores the differences between the events at each venue. The games at the Alamodome drew a significant share of out-of-town visitors, with more than half traveling over 250 miles. Fan Fest at the convention center skewed far more local, with nearly 70% of visitors coming from within 100 miles.
Meanwhile, music and tailgate events at Hemisfair struck a balance between the two. The venue’s proximity to the stadium, combined with a lineup of high-profile artists, likely made it a natural stop for traveling fans already in town for the games. At the same time, the open-air activities appear to have resonated with local audiences, many of whom may have paired their visit with the nearby Fan Fest at the convention center.
First, this year's Fan Fest and Tip-Off Tailgate in Indianapolis may possess an even stronger local skew than last year's. The addition of the Division II and Division III championships alongside the National Invitational Tournament (NIT) at nearby Gainbridge Fieldhouse introduces more budget-friendly viewing options – a factor that may attract even more local fans. This shift may benefit certain sponsor activations while limiting the reach of others, depending on their target audience.
Second, headline concerts can serve as a powerful draw for out-of-town visitors. And when scheduled before the games, these performances may encourage longer stays – as visitors who travel from afar are likely to remain through the championship game – providing a more sustained hotel and tourism lift across the full event window.
Taken together, these findings reinforce the importance of a multi-layered event strategy. By offering varied experiences that appeal to different audiences, organizers can maximize engagement and elevate the overall impact of a high-profile sporting showcase like the Final Four.
A closer look at the Hemisfair district – home to the Final Four’s Music Festival and Tip-Off Tailgate in 2025 – further highlights the potential of these events to drive local consumer engagement.
Relative to the 2025 daily visit average, traffic during the 2025 Final Four weekend (most notably, April 4th to 6th) ranked as the second-busiest stretch of the year for Hemisfair – surpassed only by the Saturday of Muertos Fest on October 25th.
This visit spike underscores the outsized role of ancillary programming in driving visitation – an effect that can be expected from the 2026 Final Four events as well. But unlike 2025’s closely clustered setup, the 2026 event hubs are set a short distance apart in Indianapolis’s downtown core. This could encourage pedestrian movement along connecting corridors – increasing retail and dining exposure and broadening the tournament’s economic impact.
All eyes will be on this week’s matchups between the final four teams, as the nation awaits the crowning of a new college basketball champion.
But if last year’s Final Four is any indication, the impact will extend well beyond the court. The broader ecosystem of multi-day programming is poised to drive local consumer engagement, reinforcing the tournament’s role as a catalyst for foot traffic and economic activity.
For more in-depth event 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.
Following a difficult 2025, Target appears to be on a recovery path. Weekly visits from February 2 to March 22, 2026 rose 6.6% to 10.3% year over year, suggesting that the company's turnaround strategy – which includes improving its product assortment and in-store experience – is beginning to deliver results.
In-store traffic volume during the company's recent Circle Days also suggest that a turnaround is on the horizon. Average daily visits during this year's Circle Days (March 25th to 27th 2026) were 2.9% and 5.9% higher than the comparable spring events in 2024 and 2025, respectively – despite those prior events benefiting from weekend days. (In 2024 and 2025, Target's spring Circle Day promotion ran for seven days.) Traffic was also higher compared to the YTD same-weekday average – that shoppers are returning to Target, with Circle Days further boosting already elevated traffic levels.
Target’s early-2026 performance suggests its turnaround efforts are beginning to resonate, supported by investments in stores, staffing, and merchandising aimed at improving the in-store experience. Encouraging traffic trends – including stronger performance during Circle Days despite already elevated baseline visits – point to renewed shopper engagement. If Target can sustain this momentum beyond promotional periods, it appears well positioned for stabilization and modest growth in 2026.
For more data-driven retail insights, visit placer.ai/anchor
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
IKEA’s recent decision to open a store in Tulsa, OK may seem surprising at first glance. But a closer look at the location analytics reveals a market with a compelling mix of inbound migration, rising incomes, and retail momentum – a combination that is putting the state of Oklahoma on the map as a next-tier retail destination.
So what do location analytics reveal about the trends shaping Oklahoma’s largest markets – and why did IKEA choose Tulsa, the state’s second-largest CBSA, over its biggest, Oklahoma City? We dug into the data to find out.
Population growth is often one of the first signals retailers look for. And while states like California, New York, and Illinois have continued to see domestic outflows in recent years, Oklahoma has been quietly gaining ground. Between January 2023 and January 2026, the state saw an influx of relocators equal to 0.3% of its 2023 population.
Both Oklahoma City and Tulsa have benefited from this trend – but Tulsa holds a slight edge, one factor that may be contributing to IKEA’s decision. The gap may seem modest, but in a mid-sized metro context, even small differences in migration can translate into meaningful increases in demand.
Another factor likely shaping IKEA’s decision is the quality of inbound migration. Data shows that newcomers across Oklahoma bring significantly higher median household incomes (HHIs) than existing residents.
And while Oklahoma City’s overall median HHI remains slightly higher than Tulsa’s, the income lift from new residents is more pronounced in Tulsa. Incoming households there earn about 7.1% more than local residents, compared to a 4.8% premium in Oklahoma City.
This stronger income differential points to a greater influx of higher-earning households – consumers who are more likely to drive discretionary spending. As they settle into new homes, these households often trigger immediate, high-value purchasing cycles, particularly in categories like home furnishings.
And these demographic tailwinds appear to be translating into real-world retail performance. Since 2024, year-over-year retail visits across Oklahoma have outpaced the national average.
At the metro level, both Tulsa and Oklahoma City have seen retail activity grow since 2023 – but only Tulsa has consistently outperformed the U.S. benchmark, and in 2025, it also surpassed the state as a whole.
The convergence of these factors – stronger migration, a more pronounced income uplift, and sustained retail outperformance – may help explain IKEA’s strategic choice.
IKEA stores are long-term investments, often serving as regional anchors for decades. Choosing Tulsa signals confidence not just in current demand, but in the market’s future trajectory.
And the data supports that bet. With stronger inbound migration, a greater concentration of higher-income newcomers, and above-average retail momentum, Tulsa is emerging as a quietly attractive growth market – one that may be flying under the radar, but increasingly checks all the right boxes.
For more data-driven retail analysis, follow 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.
Chick-fil-A continues to carve out a distinctive growth story in the quick-service restaurant (QSR) space, pairing steady physical expansion with consistent gains in foot traffic. The latest data highlights a brand strengthening its position through operational efficiency, disciplined growth, and a loyal customer base that values quality and experience over aggressive promotions.
Supported by industry-leading average unit volumes, Chick-fil-A has successfully expanded its physical footprint without sacrificing store-level performance.
Recent traffic data from September 2025 through February 2026 illustrates this efficient scaling, as total visits rose consistently year-over-year throughout the entire six-month period while average visits per location remained elevated in four of those six months.
In addition, since September 2025, Chick-fil-A has largely outpaced other limited-service restaurants in per-location traffic growth, lagging behind QSR and fast-casual competitors only in October and November.
Notably, November’s sharp decline can be attributed to calendar dynamics rather than a drop in consumer interest – Chick-fil-A is famously closed on Sundays, and November 2025 had one more Sunday than November 2024, which could have placed the chain at a disadvantage relative to other restaurants.
Chick-fil-A’s resilience may be rooted in part in the strong alignment between its operating model and its customer base. Positioned as a premium QSR brand straddling the line between fast food and fast casual, the chain emphasizes consistency, menu simplicity, and high-touch service rather than heavy discounting.
This approach has helped Chick-fil-A maintain a top ranking for QSR customer satisfaction for over a decade. At the same time, its trade areas skew more affluent than those of traditional QSR competitors, providing a degree of insulation from macroeconomic pressures and supporting a willingness to pay for a reliable, higher-quality dining experience.
Chick-fil-A’s recent performance highlights a brand executing with discipline – expanding its footprint while maintaining strong unit-level productivity and outperforming key competitors. With a stable operating model and a customer base that supports its offerings, the chain appears well positioned to sustain its upward trajectory.
For more data-driven dining insights, follow 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.
Traffic trends highlight a growing divergence between mono-brand boutiques and luxury department stores. While both formats have faced headwinds, department stores have consistently outperformed mono-brand boutiques on a year-over-year basis, maintaining relatively stable visitation compared to the sharper and more sustained declines seen across mono-brand locations. This gap has been especially pronounced since the second half of 2025, where mono-brand traffic trends weakened significantly while department stores showed greater resilience.
Part of this gap may be explained by structural differences between the formats. Department stores offer broader assortments, multiple price points, and the ability to support a range of shopping missions in a single visit, allowing them to capture demand across a wider spectrum of consumers. Mono-brand boutiques, by contrast, are more tightly tied to full-price luxury positioning, making them inherently more exposed to fluctuations in discretionary spending.
But even as luxury department stores offer a broader range of products that can appeal to a wider audience, trade area demographics suggest that mono-brand boutiques rely more heavily on aspirational shoppers. While both formats drew from affluent areas in 2025, mono-brand stores captured a higher share of households below the $100K income threshold – indicating greater exposure to more price-sensitive consumers. Department stores, by contrast, skewed toward higher-income households, providing a more stable demand base.
This distinction also helps explain the widening traffic gap between the two formats. As discretionary spending tightens, aspirational shoppers are often the first to pull back. And because mono-brand boutiques seem to depend more on this segment – and lack the pricing flexibility and assortment breadth to retain them – they are experiencing sharper declines. Meanwhile, department stores, supported by a more affluent customer base and greater assortment diversity, are better positioned to sustain traffic and overall performance.
The divergence between the two luxury formats suggests that both who shops and how they shop matter as much as brand strength. Mono-brand boutiques’ greater exposure to aspirational consumers leaves them more vulnerable in periods of constrained spending, while department stores benefit from both structural flexibility and a more resilient customer base. As the environment remains uneven, performance will likely hinge on a retailer’s ability to align format, pricing strategy, and audience with today’s shifting demand dynamics.
For more data-driven retail insights, visit placer.ai/anchor.
As economic pressure continues to reshape consumer behavior, one retail segment is accelerating through the storm. Thrift stores, long viewed as a niche segment, are emerging as a core apparel channel – attracting more affluent value-seekers and a younger generation of shoppers. An AI-powered analysis of the thrift category and one of its leading players – Goodwill – highlights the segment’s rise to prominence and the takeaways for other apparel players in an uncertain retail environment.
Thrift stores have seen sustained visit growth in recent years. The chart below compares visits across thrift, traditional apparel, and luxury apparel chains relative to Q4 2022. Thrift has maintained a clear upward trajectory, outperforming both traditional and luxury apparel since Q1 2025, as visits to those segments wane.
This trend likely reflects several dynamics at work. Economic pressure has encouraged consumers to seek out lower-cost alternatives, while the opportunity to score stylish, high-quality, and even luxury items at a fraction of their original price introduces a “treasure hunt” dynamic that traditional retail often struggles to replicate.
In this sense, thrifting has redefined value-seeking behavior – not out of necessity, but because it enhances the thrill of the hunt: a wholly discretionary shopping mentality.
Thrift’s visit growth is also being driven by increasing visitor frequency.
At Goodwill, for example, customer loyalty has been on the rise. Between early 2022 and early 2026, the share of visitors making an average of two or more visits per month, rose from roughly 28% to around 30%.
This trend aligns with the very nature of the thrift experience. Constantly changing inventory combined with meaningful variation across locations encourages shoppers to visit more often and explore multiple stores within short timeframes.
At the same time, online resale activity is increasing, particularly among younger, digitally savvy consumers. As economic uncertainty persists, many are turning thrifting into a side hustle, leveraging low-cost sourcing and online platforms to generate income – providing additional financial incentive to make repeat trips.
Social creators are further accelerating this behavior. “Thrift flip” videos, haul content, and store walkthroughs are reshaping discovery and growing in popularity among Gen Z audiences. And operators are adapting accordingly – partnering with influencers and refreshing store environments to better align with younger consumers’ expectations.
In addition to attracting younger audiences and frequent visitors, the profile of thrift store shoppers is evolving in another way. Operators such as Goodwill have increasingly expanded into higher-income areas, improving both the quality of donated inventory and access to more affluent customer segments. Likely as a result, the median household income (HHI) of the segment’s overall trade area – its potential market – has risen steadily.
At the same time, the median HHI of the category’s captured market – the areas within its trade area generating the most visits – has also increased, evidence that thrifting is gaining traction among more affluent consumers driven by value-seeking and treasure-hunting.
And crucially, while thrift stores still attract a somewhat less affluent audience than their overall trade area, this gap is narrowing: The income differential between potential and captured markets declined from 5.3% in 2022 to 4.8% in 2025, with the customer base increasingly reflecting the demographics of the communities where stores operate.
Taken together, these trends point to a broader repositioning of thrift retail. What began as a value-driven alternative is evolving into a hybrid model – one that blends affordability and discovery.
And in a time of economic uncertainty, a channel that resonates across income levels, engages younger shoppers, and thrives at the intersection of physical retail and digital culture is well positioned to not only remain resilient, but continue to build momentum.
Will the thrift space build on its successes in 2026? Visit Placer.ai/anchor to find out.
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.
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.
If 2025 proved anything, it’s that the American consumer hasn’t stopped spending – they’ve just become incredibly selective about who earns their dollar. As we look toward 2026, success isn't just about weathering headwinds; it's about identifying the specific operational levers that drive traffic.
We analyzed the data to identify ten retail and dining standouts (presented in no particular order) that are especially well-positioned for the year ahead. From grocery icons mastering hyper-authenticity to fitness challengers proving that low price doesn't mean low quality, these companies have demonstrated a powerful understanding of their audience and the operational agility to meet them where they are.
Here – in no particular order – are the brands setting the pace for 2026.
When we pick retailers for our Ten Top list, there are some that rest on the edgier side and others that look fairly down the middle. Picking H-E-B, a grocer that has seen monthly visits up year over year (YoY) for all but one month since April of 2021, is clearly not one of the bolder claims. But consistent success shouldn’t preclude a retailer from receiving its well deserved kudos, and there are some unique reasons that H-E-B specifically needs to be included this year.
H-E-B exemplifies the single most important trend in retail: the need for a brand to have authenticity and a clear reason for being. The retailer understands its audience, and as a result, it’s able to optimize its merchandising, promotions, and experience to best serve that loyal customer base. This pops in the data when we see the loyalty H-E-B commands, especially when compared to the grocery average.
In addition, the chain has also embraced adjacent innovation, leveraging its existing fleet by adding True Texas BBQ to a growing number of locations. The offering not only helps maximize the revenue potential of each visit, it taps into the core identity of the brand, further deepening customer connection and authenticity. The strategy also signals H-E-B’s understanding of emerging consumer behaviors – particularly the increase in shoppers turning to grocery stores for affordable, restaurant-quality lunches. And this combination of expanding revenue channels while heightening H-E-B’s uniqueness should also carry over into the value and impact of its retail media network.
In short, H-E-B has not only identified a critical route to success, it continues to embrace channels that widen revenue potential while doubling down on foundational strengths.
In 2024, Michaels held nearly 32.0% of overall visit share among the top four retailers in the wider crafts and hobby space. By the second half of 2025, that number had skyrocketed to just over 40.0% – driven largely by the closures of key competitors JoAnn Fabrics and Party City.
And it isn’t just that the removal of competitors is increasing the share of overall visits; the rate of capture appears to be accelerating. In Q2 2025, visits rose 7.3% YoY as Michaels began absorbing traffic from Party City, which closed the bulk of its locations by March. Growth strengthened further in Q3, with visits up 13.1% YoY following the completion of JoAnn’s shutdown in May. But during the all-important Q4, traffic surged even higher YoY, suggesting that that consolidation alone doesn’t fully explain the gains.
While the tailwinds of competitor closures clearly help, there are other strategies that are helping the retailer maximize this wave. Whether it be NFL partnerships to boost the retailer’s Sunday role in American households, a push into the framing space with 10-minute custom framing, the addition of JoAnn’s branded merchandise to its offerings, or even a challenge to Etsy’s online dominance with a new marketplace – Michaels is making moves to take full advantage of their improved positioning. There is also an argument to be made that Michaels is the retailer best poised to benefit from the segment’s consolidation, given that it is also the most oriented to a higher income consumer among top players in the category. This could help unlock other more focused concepts and promotions, and better align with an audience now looking for a retail replacement.
Walmart is the dominant player in physical retail.
And they leverage this position to push forward new offerings that extend revenue potential while maximizing per-store impact. They are a pioneer in the retail media space and have been using their unique reach to push that side of the business forward. Add to that the fact that they have been among the savviest players in all of retail in identifying the ideal approach to omnichannel, utilizing their massive physical footprint to improve their reach via BOPIS and store-fulfilled e-commerce.
All good reasons for inclusion, right?
But, here’s the kicker - from a pure visit perspective, things are going from good to better. Between January and September 2025, Walmart visits were essentially flat year over year – a good position for a retailer with such a massive reach and such strength shown in recent years. Yet, since October, visits have actually been on the rise, with Q4 2025 showing a 2.5% YoY traffic increase and several weeks exceeding 4.0% YoY.
A retail giant with even more potential growth than we might have expected – and one that’s pushing the very strategies we believe are the key to future success? That’s certainly a reason for inclusion.
Including a department store again on this year’s list? It seems counterintuitive to many of the narratives that ran through 2025, especially as middle-class consumers continue to be squeezed financially. However, Dillard’s still appears to be an exception to the rule, with performance more closely aligned to that of luxury department store brands like Bloomingdales & Nordstrom than to its true competitive set.
In 2025, visitation to Dillard’s was essentially flat YoY – though the chain has consistently outperformed the wider department store category. Dillard’s stands at a unique point somewhere between a mid-tier and luxury department store, and that distinction may be its secret to success. The retailer continues to wow with strong private label offerings that rival and often exceed national brands, a diverse merchandise mix, and locations that often benefit from indoor mall traffic trends.
While Dillard’s lags behind the wider department store category, for example, in terms of repeat visitation and the share of wealthy visitors, these factors may actually create an advantage. Efforts by Dillard's to refresh its product mix through limited-edition capsule collections and new brand launches may be helping it attract a steady inflow of economically diverse new shoppers. And the ability to continually win over new segments without alienating a “core customer” could be a strength amid economic headwinds and waning consumer sentiment.
At the same time, a more diverse visitor profile means that Dillard’s can truly be the department store for many consumers, with a product range that strikes a chord with different shopper segments.
Department stores truly aren’t dead, and those who have found their reason to exist continue to garner attention with shoppers.
If the retail industry had a symbol for 2025, it was probably Labubu. The toy-and-collectible-turned–bag charm took consumers by storm in the second quarter of the year, and POP MART – the retailer responsible for bringing Labubus stateside – quickly became an overnight sensation. Visits to the chain surged over the summer at the height of the craze, while trade areas expanded as customers traveled significant distances to get their hands on a doll.
And although the frenzy cooled somewhat in early fall, visits to POP MART locations like the one in Tulalip, WA began trending upward once again in November 2025 as the holiday season approached, surging even higher in December. Trade area size also increased dramatically during the holiday shopping period, as consumers rushed to get their hands on the chain’s coveted line of festive blind boxes.
As demonstrated by the recent Starbucks Bearista craze, consumers are all-in on cool collectible items that make life more fun – a trend POP MART, strategically located in high-traffic malls popular with younger shoppers, is uniquely positioned to ride. During times of economic uncertainty, consumers crave small ways to indulge, and affordable collectibles that are cute, cuddly, and fun have worked their way into the American zeitgeist.
So, what is next for POP MART? Can it continue to sustain its momentum? It seems likely that Labubus are here to stay, at least for a little while longer, before the retailer hopefully strikes it big with the next “must have”.
When all is said and done, 2021-2025 will likely be viewed as a pivotal turning point for the U.S. coffee industry. As the country recovered from the pandemic, consumer interaction with coffee brands fundamentally shifted. With more employees working from home – bypassing the traditional pre-work coffee run – visit trends migrated to later in the morning and afternoon. Meanwhile, industry-wide dwell times shortened as consumers renewed their focus on convenience.
This move away from the sit-down café experience placed significant pressure on industry leaders, accelerating the shift toward drive-thru and mobile order-and-pay options. This moment of friction also created space for drive-thru-centric challengers like Dutch Bros, which rapidly expanded on the strength of speed and menu innovation.
Among these challengers, 7 Brew stands out as a fast-rising powerhouse heading into 2026. Expanding outward from its Arkansas roots, 7 Brew has been strategic about market entry and site selection for its unique double-drive-thru format. And with a concept that resonates with younger demographics and a footprint adaptable to various geographies, the coffee chain has become a go-to destination for rural and small-town communities, while also maintaining solid reach among more traditional coffee segments like wealthy suburbanites and urban singles. Thanks in part to this broad appeal, 7 Brew is well-positioned for future growth, even as it faces stiffer competition in new markets.
It is no secret that most of the growth in the QSR space over the past two decades has been driven by chicken concepts. Chick-fil-A, rising from a regional chain to a national player throughout the late 1990s and 2000s, was the first to disrupt the burger’s stranglehold on QSR. Raising Cane’s followed in the 2010s with a model built on menu simplicity and operational excellence, earning its place as one of the largest chains in the category. More recently, hot chicken has emerged as one of the fastest-growing segments – and Dave’s Hot Chicken is leading the charge.
No single factor accounts for Dave’s growth from a lone unit in Los Angeles to over 350 units today. Certainly, a wide assortment of sauces and flavor profiles has resonated with U.S. consumers who are increasingly seeking spicier products, while Dave’s 'rebel' brand positioning has successfully attracted younger audiences. And at a time when many QSR and fast-casual chains are abandoning urban locations in favor of suburban markets, Dave’s Hot Chicken continues to open predominantly in urban settings – a strategy that may prove advantageous as migration patterns shift back toward major cities this year.
With so much of the industry’s expansion driven by chicken concepts, it is natural to ask: Have we reached 'peak chicken'? While we are certainly seeing other categories gain traction – think CAVA – Dave’s unique product mix and edgier marketing should help it stand out, even amidst increased competition.
While many discretionary retail categories – including consumer electronics, sporting goods, home improvement, and furniture – are still waiting for post-pandemic demand to recover, housewares retailers have generally enjoyed solid visit trends in 2025. Although consumers may not be financially positioned for large-scale remodels, we are now five years past the pandemic, and many residents (many of whom still work from home) are looking to refresh their living spaces.
It may therefore come as no surprise that TJX Companies’ HomeGoods and Homesense brands had an exceptional 2025 and are well-positioned to repeat this success in 2026.
This year, we observed a behavioral shift among middle-income consumers, including a clear “trade down” from mid-tier department stores and other discretionary categories. In addition, accumulated housing wear-and-tear, the recent bankruptcies of value-oriented competitors such as Conn’s and At Home, and the enduring appeal of the treasure hunt retail model, have all reinforced the brands’ momentum. Taken together, these trends leave HomeGoods and Homesense poised for both continued unit growth and increased traffic in the year ahead.
With the heightened emphasis on health and wellness post-pandemic, fitness is proving to be a category with remarkable staying power well beyond New Year’s resolution season – even in an era of macroeconomic uncertainty. Whether it’s pumping iron, hitting the treadmill, or joining fitness classes, staying healthy no longer requires breaking the bank – for just a dollar a day or less, gymgoers can build strength and endurance, achieve their rep goals, and hit their mileage targets. And affordable fitness chains – those that charge less than $30 per month – are reaping the benefits, outperforming more expensive gyms for YoY visit growth.
Among this value-oriented fitness cohort, EōS saw outsized traffic growth in 2025, with both overall visits and average visits per location outpacing competitors as the chain expands its footprint. EōS’s motto, “High Value, Low Price,” appears to be resonating strongly – especially in a year when similar value propositions are driving momentum across off-price retailers, value grocers, and dollar stores. Longer-than-average dwell times at EōS provide another encouraging signal, suggesting that its amenities, including pools, saunas, basketball courts, and equipment assortments typically found in higher-priced gyms, are truly connecting with visitors. And since visitors who stay longer are more likely to return – and to renew their memberships – EōS is well-positioned to convert this year’s traffic gains into lasting market share.
Eating and entertainment are a match made in heaven — and by leaning into a subscription model that meets price-sensitive customers where they are, Chuck E. Cheese has solidified its position as a standout in the eatertainment category.
Nearly 50 years old, this evergreen children’s entertainment concept has stood the test of time and now boasts roughly 500 venues nationwide. Its perennial tagline – “where a kid can be a kid” – still resonates with today’s children and with the parents who grew up with the brand. After languishing for several years in the wake of COVID, the company turned things around with a revamped Summer Fun Pass launched on April 30th, 2024. The offer of unlimited play per month sparked a dramatic boost in customer loyalty, and the model proved so successful that the company extended it year-round with a family pass as low as $7.99 per month.
This strategy has helped sustain visit growth throughout 2025. Despite closing several locations during the year, visits to Chuck E. Cheese rose 8.3% YoY – well above the flat eatertainment average. And the company’s loyalty rates outpaced last year from August through November, indicating that the offering isn’t losing steam and that customers continue to respond enthusiastically.
The diversity of brands featured in this report highlights that there is no single path to success in 2026.
H-E-B and Chuck E. Cheese demonstrate the power of deepening loyalty through authentic experiences and value-driven memberships. Michaels and HomeGoods show how savvy retailers can capitalize on competitor consolidation and changing consumer spending habits. Meanwhile, Walmart and 7 Brew prove that even in saturated markets, operational innovation can drive fresh momentum.
As we move deeper into 2026, the brands that win will be those that, like the ten profiled here, combine a clear understanding of their unique value proposition with the agility to execute on it.
