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Our latest white paper, Who’s in the Stands? An In-Depth Look at Arena and Stadium Visits, uses location intelligence tools to uncover the demographic and psychographic characteristics of sporting events attendees – including Super Bowl fans. Below is a taste of our findings.
As the biggest game of the year, the Super Bowl usually brings a tourism boom to the host city. The heat map below depicts the origins of travelers to the past three Super Bowls (excluding Super Bowl LV in 2021 which was held under COVID restrictions). Year after year, the distribution of Super Bowl attendees is relatively similar to the country’s population distribution – which means, perhaps unsurprisingly, that the most densely populated regions are well-represented at the game.
But the data also reveals that many Super Bowl attendees travel from the regions where the competing teams are based, which indicates that die-hard fans are willing to make the trip to see their local team potentially win a championship. The map also shows that visitors from the Super Bowl’s host city and surrounding areas are heavily represented at the game, regardless of whether or not a local team is playing. It’s likely that a significant number of football fans who live nearby take advantage of the rare opportunity to see a Super Bowl close to home.
Super Bowl LVI in 2022, for example, was played at SoFi Stadium in Los Angeles, CA between the Cincinnati Bengals and the Los Angeles Rams. The event was heavily visited by fans from Southern California as the game was not only being played by the LA Rams, but also at their home stadium in Inglewood, CA. A greater contingent than previous years was also in attendance from Cincinnati, OH and its surrounding areas.
Many fans travel to the Super Bowl from the same regions every year, with the host city and the contending teams’ hometowns also providing significant factions of attendees. But analyzing Super Bowl crowds throughout the years also reveals an important demographic shift taking place among those traveling to the Super Bowl – the growing number of family-oriented visitors.
Since 2019, the True Trade Areas of the Super Bowl stadiums include increasingly greater shares of larger families. Last year’s Super Bowl LVI had an in-person audience that reflected a trade area in which 17.9% of residents came from families of five or more, up from 11.9% at the Super Bowl three years prior. Conversely, Super Bowl attendees in 2022 reflected a trade area in which 37.7% of residents were part of two-person households, a decrease from 47.8% in 2019.
The increase in attendees from areas with larger families could reflect the NFL’s initiatives to make football a more family-friendly sport, including rule and equipment changes aimed at increasing player safety and supporting youth football clubs. The trend towards an increase in attendees from larger families may also inform decisions about products to promote as well as amenities that will contribute to a family-friendly experience on game day.
Brands invest heavily in ads that air during the Super Bowl. But with the right insights, stadium advertising platforms have tremendous potential to reach target audiences in-person at the big game. While a large audience is part of the equation, in order to achieve maximum impact, an in-depth understanding of visitors is critical.
Key McDonald's Metrics
While focus and streamlined operations are key to restaurant growth strategies, we also continue to see evidence of the impact of innovation and nostalgia in driving visits. McDonald’s has had success with its past celebrity meal collaborations with Travis Scott and J Balvin, with our data indicating a mid-to-high teens lift in visits compared to the weeks prior to the promotion. However, McDonald’s "Adult Happy Meal" collaboration with streetwear brand Cactus Plant Flea Market might be its most successful collaboration today, with data suggesting more than a 30% increase in in-store visitation trends compared to the weeks leading up to the promotion (below). We’ve discussed the impact of limited-time offers (LTO) in the QSR space earlier this year, but McDonald’s has set a new bar for the industry (beating out Taco Bell’s Mexican Pizza launch in May).
Although QSR chains saw more resilient visitation trends than other restaurant categories for much of 2022, the gap between the QSR, fast casual, and full-service restaurant chains had narrowed in September as lower-income consumers continue to face inflationary headwinds from menu price hikes across the QSR space while higher-end consumers continue to dine out. Nevertheless, the impact of McDonald’s adult happy meal promotion is evident in not only the massive spike in visitation trends for the full QSR sector last week (below). While not everyone may love these promotions, they can be an extremely effective way to drive visitation growth.
We, the founding team, always loved data - ideating around it, engineering with it, understanding the world better with it.
But what captivated us most was imagining data products that can be used by tens of thousands of businesses across the world.
Among all the ideas and visions we bounced around before starting the company, one stood out for its simplicity and potential impact - building a ‘Physical Market Intelligence Platform’ to provide everyone in the offline world (a.k.a the ‘real world’) with aggregate insights for decision-making. Or in layman’s terms, “a dashboard to get instant insights for any place to understand its audience, surroundings, and competition”.
In 2016, the Placer founding team gathered in a basement and spent a weekend sketching out a plan to turn this idea into a massive world-class data company.
Whiteboarding without customers or tech debt is fun!!!
The more paper we stuck to that basement wall, the bigger the vision became! Everything is possible with the stroke of a pen…
But very quickly, we hit some glaring challenges:
The best way to approach a big challenge is breaking it down into smaller ones. So we worked hard to define Phase 1 - focusing on building a product that (1) was centered around the mobile location analytics dataset and (2) generated reports tailored for CRE and retail.
5 years and 5 funding rounds later, we’re FINALLY feeling “pretty good” about Phase 1: we launched a world-class mobile analytics product that’s used by over 1,000 customers, and thousands more are using our free products.
But it’s also been “frustrating” - we were always strapped for cash and resources. We’re yet to integrate most of the datasets we need; key reports for certain verticals remain in the product pipeline; and in terms of usability and workflow features, we still have a lot to do in order to create a truly comprehensive platform (vs “read only” status insights tool).
That’s why the $100M Series C funding we just announced is so momentous for me and the rest of the Placer team. It finally removes the shackles and equips us with the tools and materials we need for Phase 2 - rapidly building the full Placer.ai Market Intelligence Platform.
So let’s dive into what that means…
A Physical Market Intelligence Platform is a big data puzzle. Piecing it together - in a nutshell - consists of four phases:
A vast amount of interconnected data is required to create a truly accurate and complete picture of what’s going on at a location. This data falls into two broad categories:
Now consider all things you see going on in the world and imagine how POI and geospatial data can capture and quantify them…
Here’s a snippet:
We track dozens of data categories and thousands of datasets and vendors in order to identify new data that can help answer our customers’ questions.
This is 50% of our work and is a huge data challenge - but also great fun!
Through partnerships and our App Marketplace, we’ve recently integrated online reviews, credit card data, demographics, vehicle traffic volume, crime figures and planned construction into our platform. And we have lots more datasets in our pipeline: retail sales, property sales, financial data, leasing comparisons and climate data to name just a few.
If the data are the ingredients, then ingestion is the cooking. This includes complex data science processes:
Tagging data to POIs is a massive task. Placer’s POI database contains millions of entities: a commercial real estate asset in a customer’s portfolio; stores of a retailer’s chain or that hold a CPG brand’s products; a billboard used for out-of-home advertising; a downtown area being regenerated by a municipality or business improvement district. We geofence each one so data can be tagged to it.
But a much greater complexity than the volume of data-POI matching is the fact that our data structure is mutable - it changes. Stores, restaurants, strip malls and other POIs open, close, merge and move. Our physical environment is constantly changing. One of our platform’s standout attributes is that it always reflects historical change.
In practice, this means that, for each POI change, we not only adjust our data tagging but also re-tag 5 years of historical data to ensure any historical comparisons are “like with like”. This is a huge investment of resources on the part of our data science, devops and engineering teams - exponentially increasing our data management burden.
To complete the cooking metaphor, after selecting ingredients (datasets) and cooking them (data ingestion), we then lay out a buffet-style feast of solutions for our users:
The most basic level of the platform is converting the data into real-world constructs that can be understood by industry professionals: tables, charts, maps and other graphics displaying cross shopping, trade areas (below), cannibalization, risk analysis, visit frequency and so on.
A key tenet of the Market Intelligence Platform is the approach that insights like those are often not the answer to the questions that our customers are looking for. Rather, they are just part of the explanation behind the answer. That means providing a comprehensive suite of Solutions SUPPORTED by insights, not just a library of uncontextualized insights.
An excellent example of this is Void Analysis. A key question for retail real estate is “who is my ideal tenant?” While our platform offered important insights (such as retailers’ average monthly foot traffic and cannibalization) for reaching an answer, landlords were doing a lot of legwork. The Void Analysis tool we released late last year enables CRE professionals to instantly analyze thousands of potential tenants through automatically generated reports that include ranking according to our unique Relative Fit Score. This significantly improves the speed and scope of a search for new tenants.
We are now working on the many additional solutions like Void Analysis in our development pipeline - sales forecasting, site selection for retail chains, market selection, market change reports, product optimization for CPG to name a few.
To be truly useful, solutions must also be delivered in a way that fits various users’ workflows. A dashboard is a good start, but a full platform must offer a range of access points. This means data feeds, REST APIs, and other methods of programmatic access.
We’ll also add to that a rich layer of data exploration tools such as GIS, templates, graph builders, pivot table functionality and advanced entity search. This will provide users with maximum flexibility in how they explore and visualize our data.
The lion’s share of the work is still ahead of us here - more widgets, third party integrations, report generators, scheduled intelligence reports and alerts, and much more.
The platform’s user interface must be fully customized to fit the needs of its different user types across verticals AND within companies (business users, data scientists, data analysts, third party users). An example of how we’ve begun to do this is a portfolio overview section for CRE analysts to rapidly scan properties’ performance metrics. Another is our COVID-19 Recovery Dashboard, particularly used by civic organizations to assess the impact of the pandemic on local economic areas.
As we presented “just data”, we quickly realized some customers were looking for humans to add a “research layer” and context around the data. So an analytical research team has become part of the product. They capture and present key market intelligence, respond to the latest industry trends and customer interests. “The Anchor”, a weekly CRE executive intelligence report launched last September, has now become an inbox staple for many of our customers.
To our current understanding, we’re just “5%” of the way to our Market Intelligence Platform vision. The remaining 95% will be built by scaling POI coverage, datasets, answering more questions and developing the other core components of the platform.
So our focus now is on ramping up the velocity of this development. And to do that, we need even more of the world’s best talent across the company.
So, during 2022, we will use our new capital to double the size of our engineering team and significantly expand the data at our disposal. In parallel, we will also channel more resources to supporting our customers and contributing to industry understanding through our analytical research department and educational content.
Placer.ai is committed to transforming the way real-world businesses make decisions. And we don’t want to waste any time going about it.
LOS ALTOS, CA (January 12, 2021)--Placer.ai, the leader in location analytics and foot traffic data, announced today the closing of a $100M Series C funding round at a $1B valuation. The round was led by Josh Buckley with participation from WndrCo, Lachy Groom, MMC Technology Ventures LLC, Fifth Wall Ventures, JBV Capital, and Array Ventures. The round also included the participation of leading commercial real estate investors and operators, including J.M. Schapiro (Continental Realty Corp), Eliot Bencuya and Jeff Karsh (Tryperion Partners), Daniel Klein (Klein Enterprises/Sundeck Capital), Majestic Realty, and others. The funding will be used to expand the company’s R&D capabilities to further increase the pace of innovation.
“Placer experienced significant growth during 2021 as a consensus formed across the market that accurate, reliable consumer behavior analytics is indispensable to brick and mortar decision-making,” said Noam Ben-Zvi, CEO and Co-Founder of Placer.ai. “Yet, location analytics is just the foundation for a much broader and more comprehensive vision. With this funding, we will accelerate the development of the Placer.ai platform, adding an unprecedented range of new data sets - such as vehicle traffic, planned construction, web traffic, purchase data, and much more - as well as more advanced solutions to empower any professional with a stake in the physical world to make better decisions, faster than ever before. ”
Since launching in November 2018, Placer.ai has been adopted by over 1,000 customers including industry leaders in commercial real estate and retail like JLL, Regency Centers, Taubman, Planet Fitness, BJ’s Wholesale Club, and Grocery Outlet. In the wake of COVID-driven upheaval, the company saw widespread adoption among a series of new categories, among them hedge funds and CPG leaders including Tyson Foods and Reckitt Benckiser.
"Placer provides instant, simple and actionable insights to questions we've been asking as operators for over 30 years. The pace of innovation, the unique trust that the company has developed, and the massive market demand all point to the magnitude and scale of what this team can achieve,” said Jeffrey Katzenberg, Founding Partner of WndrCo.
"We have long felt like the disruption Placer can bring is massive, but the market demand has far exceeded our initial expectations," said Josh Buckley. “We see a powerful opportunity to continue partnering with Placer to improve the way decisions are made in the physical world, fundamentally improving the way these businesses and organizations operate."
Try Placer.ai for free here.
About Placer.ai:
Placer.ai is the most advanced foot traffic analytics platform allowing anyone with a stake in the physical world to instantly generate insights into any property for a deeper understanding of the factors that drive success. Placer.ai is the first platform that fully empowers professionals in retail, commercial real estate, hospitality, economic development, and more to truly understand and maximize their offline activities. Find more information here: https://placer.ai/
LOS ALTOS, CA (April 27, 2021) --Placer.ai, the leader in location analytics and foot traffic data, announced today the close of a $50M Series B funding round. The round was led by Josh Buckley, Todd Goldberg and Rahul Vohra, with participation from Fifth Wall, JBV Capital and Aleph VC. The funding will be used to grow the company’s R&D, expand sales and marketing teams, introduce additional reports and data sets, and grow the recently announced marketplace.
Since launching in November 2019, Placer.ai has been adopted by over 500 customers including industry leaders in Commercial Real Estate and Retail like JLL, Brixmor, Taubman, Planet Fitness, and Dollar General. Yet, the recent upheaval caused by COVID led to widespread adoption among a series of new categories including Hedge Funds and CPG leaders.
“As a business deeply rooted in offline retail, we expected COVID to present a unique challenge. Yet, adoption actually increased as a result of our ability to introduce certainty into such an uncertain environment. The result has been a clearer and deeper understanding by the market of the absolute imperative of location data to improve the decision-making process,” said Placer.ai CEO and Co-Founder Noam Ben-Zvi.
“But our current offering is just the beginning, and we are fully focused on expanding the capabilities both through the development of a range of new features and tools, and the integration of a wide range of data sets through our marketplace. Placer.ai is rapidly becoming the market intelligence platform for anyone with a stake in the physical world.”
In the last year, Placer.ai continued to expand its presence in core markets like Commercial Real Estate, Retail, Municipal governments, and Hospitality while advancing into new segments like CPG and Hedge Funds. The result has been growing market adoption and an increasingly large and diverse reach.
"Fifth Wall has some of the largest owners and operators of real estate as our limited partners and several were customers of Placer.ai, giving us a unique perspective on the company’s growth and potential. We saw firsthand the impact that the data is already having in reimagining the way business is done in retail and real estate broadly,” said Kevin Campos, Partner on the Retail & Consumer Investment team at Fifth Wall. “Yet, what’s even more exciting is that we’re still only seeing a piece of the puzzle and know that there are so many other sectors where the data can be applied. We’re thrilled to help grow and execute this vision alongside this exceptional team.”
"Placer allows businesses that operate offline to make data-driven decisions, fundamentally improving the way they operate. This is the same type of tooling that online businesses have used to grow, moving from hunches to definitive answers," said Josh Buckley. “I'm excited to be partnering with the company's next phase of growth and product development."
“Our journey with Placer.ai started at the very beginning as one of the company's first beta customers. Seeing the disruptive power of the product up close, the speed at which the company developed new features, and the tremendous traction they achieved in the marketplace led us to invest less than a year later and in every round since," said Sandy Sigal, CEO of NewMark Merrill Companies, an owner and developer of over 80 shopping centers and Chairman of BrightStreet Ventures, their venture capital arm. "Several years later, the customer growth, their ongoing product development, and the continuing value they have brought to our organization has only deepened our conviction and makes continued support a no-brainer for us."
Learn more about Placer.ai.
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Indoor malls and open-air centers have posted consistent YoY visit growth, outlet declines have been modest, and early 2026 data shows renewed momentum across all three formats.
Growth in short visits and extended stays – alongside declines in mid-length trips – shows that consumers are gravitating toward trips with a clear purpose, favoring either efficiency or immersion.
Rising dwell times and strong engagement from younger, contemporary households position indoor malls as leading destinations for longer, experience-driven trips.
A higher share of short, weekday visits – along with strong appeal among affluent families – underscores their role as convenient, essential retail hubs.
As off-price and online alternatives erode their treasure-hunt advantage and long-distance visitation softens, outlets face a strategic choice between deepening local relevance and reinvesting in destination appeal.
The malls that thrive will be those that intentionally optimize for convenience, experience, or a disciplined integration of both.
Despite economic headwinds, intensifying e-commerce competition, and fragile consumer confidence, shopping centers continue to defy the “dead mall” narrative – reinventing themselves and, in many cases, thriving.
What can location analytics tell us about the state of the mall in 2026? Which trends and audiences are driving their performance – and how can operators and retailers best capitalize on the opportunities within the category?
Over the past two years, both indoor malls and open-air shopping centers have posted consistent year-over-year (YoY) traffic growth. And while outlet malls experienced slight declines, the pullback was modest – signaling a period of stability rather than erosion.
Early 2026 data also points to continued momentum, with all three mall formats recording mid-single-digit YoY traffic gains in the first two months of the year. Although it’s still early days – and YoY comparisons in 2026 were boosted by an additional Saturday – the positive start suggests that the industry is entering the year on a solid footing.
With e-commerce always within reach, hybrid work anchoring more consumers at home, and ongoing economic uncertainty influencing spending decisions, trips to physical stores are becoming more intentional. Shopping center visit data reflects this shift as well, with growth in both quick convenience visits and extended experiential outings – alongside a decline in mid-length trips.
In 2025, quick trips (under 30 minutes) increased across all formats, underscoring malls’ growing role as convenient, high-utility destinations for picking up an online order, grabbing a quick bite, or making a targeted purchase. At the same time, extended visits of more than 75 minutes increased at indoor malls and open-air centers, reflecting sustained appetite for immersive, experiential outings.
Meanwhile, mid-length visits (between 30 and 75 minutes) lagged across formats – falling indoor malls and outlet malls and remaining flat at open-air centers – suggesting shoppers are losing patience with undifferentiated trips that lack a clear purpose.
Still, although short visits increased year over year across all mall types, and long visits increased for both indoor malls and open-air centers, the distribution of dwell time varies by format. Short visits make up a larger share of traffic at open-air shopping centers, for example, while longer visits account for a greater share at indoor malls. This divergence underscores the need for format-specific strategies, with operators clearly defining the core shoppers and missions they are best suited to serve and aligning tenant mix, amenities, and marketing accordingly.
Indoor malls, for instance, have increasingly positioned themselves as experiential hubs – particularly for younger consumers. Recent survey data shows that 57% of shoppers aged 18 to 34 report visiting a mall frequently or often, and they are more likely than older cohorts to arrive without a specific purchase in mind.
Foot traffic patterns reinforce this experiential appeal. In 2025, 37.6% of indoor mall visits lasted more than 75 minutes, compared to 33.4% for open-air centers and 34.6% for outlets. Indoor malls also captured the largest share of visits from the young-skewing “contemporary households” segment – singles, non-family households, and young couples without children – indicating strong resonance with younger audiences.
As indoor malls expand their experiential offerings, visit durations are rising even further – even as they hold steady or even slightly decline at other formats. For operators, this shift highlights a significant opportunity for indoor malls to deepen their role as climate-controlled third places. And for brands, it means high-impact access to Gen Z consumers in discovery mode – top-of-funnel engagement that is increasingly difficult and expensive to replicate through digital channels alone.
If indoor malls excel at capturing extended, social visits, open-air centers are finding success through convenience. In 2025, open-air centers had the highest shares of both weekday visits (64.0%) and short, sub-30 minutes (36.8%) among the three formats. Grocery anchors, superstores, and essential-service tenants like gyms – more common at open-air centers than at other formats – help drive steady, non-discretionary traffic.
Demographically, open-air centers drew the highest share of affluent families, a key demographic for daily errands. This alignment with higher-income households, combined with weekday consistency, positions open-air centers as reliable errand hubs embedded in community life.
Outlet malls, for their part, have historically differentiated themselves by offering something shoppers couldn’t find elsewhere: an experiential treasure hunt featuring brand-name merchandise at compelling prices. But the decline in long visits shown above suggests that this positioning may be coming under pressure – likely from the rise of off-price and discount chains as well as other low-cost, convenient treasure-hunt alternatives like thrift stores. When shoppers can score attractive deals online or browse for bargains at a nearby T.J. Maxx or Ollie’s Bargain Outlet, the incentive to dedicate time and travel to an outlet trip may no longer feel as compelling – especially for outlet malls’ core audience, which includes meaningful contingents of middle and lower-income consumers with families.
And data points to a subtle but steady erosion in the share of visitors willing to go the extra mile to visit outlet malls. Since 2023, the share of outlet visits from consumers traveling more than 30 miles has slipped from 33.1% to 31.8%, even as long-distance visits to other mall formats have remained relatively stable. This softening of destination demand may be contributing to outlets’ recent traffic lags.
Still, despite these lags in foot traffic, major outlet companies continue to see YoY increases in same-center tenant sales per square foot. The format’s strong visit start to 2026 also suggests that outlets still have significant draw – and that with the right strategy, they could reinvigorate their traffic trends.
One option is for outlet malls to lean further into their immediate trade areas: Nearly 20% of visits to outlets already originate within five miles – a share that edged up from 19.4% in 2023 to 19.9% in 2025. These closer shoppers may be largely responsible for the segment’s rise in short visits, pointing to an opportunity to further augment BOPIS offerings and select essential-use tenants.
Another option is to strengthen outlets’ destination appeal with distinctive retail, dining, and experiential offerings that resonate with value-oriented, larger-household shoppers. But whether they focus on convenience or on justifying the journey – or attempt to balance both – success will depend on identifying who their shoppers are and which missions they are best positioned to own.
As in other areas of retail, shopping center success increasingly depends on strategic clarity. The malls that thrive will be those that clearly define their role in their customers’ lives and execute against it with intention – whether by decisively optimizing for efficiency, fully investing in experience, or thoughtfully integrating both.
Commercial real estate in 2026 is characterized by differentiated performance across markets and asset types. Office recovery trajectories vary meaningfully by metro, retail performance reflects format-specific resilience, and domestic migration patterns continue to influence long-term demand fundamentals.
Many higher-income metros continue to trail 2019 benchmarks but drive the strongest Year-over-year gains, signaling a potential inflection in office utilization trends.
• Sunbelt markets along with New York, NY are closest to pre-pandemic office visit levels, while many coastal gateway and tech-heavy markets trail 2019 benchmarks.
• Many of the metros still furthest below pre-pandemic levels are now posting the strongest year-over-year gains.
• Leasing velocity may accelerate in coastal markets – particularly in high-quality assets – even if full recovery remains distant. The expansion of AI-driven firms and innovation-focused employers could support incremental demand in these ecosystems, reinforcing a bifurcation between top-tier buildings and the broader office inventory.
• Higher-income metros such as San Francisco show deeper structural gaps vs 2019, perhaps due to their higher concentration of hybrid-eligible workers – yet those same metros are driving the strongest YoY recovery in 2025.
• Accelerating growth in 2025 suggests that shifting employer policies, workplace enhancements, or broader labor dynamics may be beginning to drive increased in-office activity.
• Office performance in higher-income markets will increasingly depend on workplace quality and policy alignment. Assets that support premium amenities, modern design, and tenants implementing clear in-office expectations are likely to influence sustained office visits and leasing velocity in these metros.
Retail traffic is broadly improving across states, though performance varies by region and format.
• Retail traffic growth is broad-based, with the majority of states showing year-over-year gains in shopping center traffic in 2025.
• Still, even as many states are posting gains, pockets of softer performance remain – specifically in parts of the Southeast and Midwest.
• Broad-based traffic gains indicate consumer demand is more durable than anticipated. In growth states, operators can shift from defensive stabilization to capturing upside – pushing rents, upgrading tenant quality, and accelerating leasing while momentum holds. In softer markets, the focus should remain on protecting traffic through strong anchors and necessity-driven tenancy.
• Convenience-oriented formats are leading traffic growth, with strip/convenience centers materially outperforming all other shopping center types, and neighborhood and community centers also posting gains. This reinforces the strength of proximity-driven, daily-needs retail.
• Destination retail formats, including regional malls and factory outlets, continue to lag, while super-regional malls were essentially flat. Larger-format, discretionary-driven centers are not capturing the same momentum as convenience-based formats.
• The data suggests that consumer behavior continues to favor convenience, frequency, and necessity over destination-based shopping. Operators should lean into service-oriented and daily-needs tenancy in strip and neighborhood formats, while mall operators may need to further reposition assets toward experiential, mixed-use, or non-retail uses to stabilize traffic.
Domestic migration continues to reshape state-level demand, with gains clustering in select growth corridors.
• Domestic migration drove population gains in parts of the Southeast and Northern Plains, while several Western and Northeastern states show flat or negative migration.
• Some previously strong in-migration states in the South and West, including Texas and Utah, are showing softer movement, while other established migration leaders such as Florida and the Carolinas continue to attract net inbound residents.
• Migration flows are shifting relative to prior years. Operators should temper growth assumptions in states where inflows are slowing and prioritize markets where inbound demand remains strong.
• Florida dominates metro-level migration growth, with eight of the top ten U.S. metros for net domestic migration are in Florida.
• The markets with the strongest domestic migration-driven population gains are not major gateway cities but smaller, often retirement- or lifestyle-oriented metros, suggesting that migration-driven demand is increasingly flowing to secondary markets.
• CRE operators should prioritize expansion, leasing, and site selection in high-growth secondary metros where population inflows can directly translate into retail spending, housing absorption, and service demand.
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.
