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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.
Across segments, retail and dining expansions converge on a common set of priorities, including identifying markets with strong demand, ensuring alignment with target audiences, and leveraging local consumer behavior to drive synergy. Using AI-powered location intelligence, we analyzed five expanding brands and segments to uncover the core principles driving successful site selection.
Nationwide visits to coffee chains are up in 2026, with established brands and newcomers alike seeing their traffic increase as consumer headwinds lead some to shift their discretionary spend towards more affordable indulgences. But past visit growth does not necessarily indicate future opportunity – it may instead signal market saturation. Relying solely on overall visit trends to guide expansion could lead chains into highly competitive markets where existing supply already meets demand.
For example, analyzing traffic trends in 10 major metro areas where coffee visits increased year-over-year (YoY) in Q1 2026 reveals significant gaps between overall traffic trends and per-location demand. In some CBSAs, overall traffic growth significantly outpaced per-location traffic trends – suggesting that supply is already meeting (or exceeding) demand and limiting room for new coffee locations despite overall category growth. But in other metro areas, where overall visit growth appears smaller, per-location traffic is actually booming – indicating that the underlying demand is resilient enough to support additional coffee concepts.
These patterns highlight the importance of looking beyond topline growth to identify where true whitespace still exists.
Effective site selection matches both regional and local demographics to a brand’s target customer, supporting performance and reinforcing positioning. But even in well-aligned metros, results depend on site-level precision – locations where the trade area visitor profile most closely reflects the brand’s core audience are best positioned to drive incremental upside.
An analysis of Alo locations in the DC area suggests that the company is adopting this strategy. Within the already high-income metro area of Washington-Arlington-Alexandria, individual Alo Yoga stores are placed in centers that draw even more affluent visitors – maximizing the revenue potential of each location.
In fact, Alo's newest stores in the metro area – One Loudoun and Bethesda Row – drive traffic from households with higher median incomes than even the established area locations. This signals a clear focus on premium retail corridors and affluent consumer segments, which reinforces the brand’s positioning while capturing higher-spending customers at the site level.
Beyond driving traffic potential and demographic alignment, site selection should also ensure that a brand’s identity and operating model are well matched to the visitation patterns of prospective locations. Barnes & Noble offers a clear example. The company’s ongoing resurgence has relied in part on repositioning itself as a local cultural and social hub, with a stronger emphasis on local curation and community-driven events.
And analyzing Barnes & Noble’s 2026 openings shows a clear tilt toward centers with a higher share of local traffic than the chain average – supporting its shift away from a purely transactional retail model toward a more community-centric experience built around local curation, events, and repeat visitation. By prioritizing locally driven centers, the company’s site selection strategy not only captures relevant traffic but also reinforces its broader repositioning as a neighborhood-oriented brand.
Effective site selection recognizes that proximity to competitors can function as a demand driver, amplifying traffic rather than diluting it.
In practice, this often takes the form of clustering – deliberately locating near similar or complementary concepts to capture shared demand. Shake Shack provides a clear example. Analyzing the chain's store fleet shows that many locations sit near other QSR and fast-casual concepts, creating opportunities to capture dining-based traffic. At the same time, strong cross-visitation patterns indicate that these co-located brands share a common customer base, positioning the brand closer to consumers who are already likely to visit. And, at least for Shake Shack, this strategy appears to be working – traffic to the chain increased 19.9% YoY in Q1 2026.
Incorporating trade area analysis into site selection can also help determine whether a new location will generate new traffic or risk cannibalizing existing demand. Aldi, a rapidly expanding grocery chain, offers a relevant example.
The company opened a fourth Las Vegas store on S Decatur Blvd in October 2025, positioned between existing locations on W Craig Rd and S Rainbow Blvd, approximately eight miles from each. And analyzing the core trade area of each of the four Las Vegas locations indicated limited visitor cannibalization over the last six months, despite the stores’ close proximity. Only 6.2% and 7.6% of the S Decatur Blvd store’s trade area overlapped with the W Craig Rd and S Rainbow Blvd stores’ trade areas, respectively.
These findings show that there is no one-size-fits-all approach to store spacing – it varies by brand, category, and market. Analyzing a company’s existing store network alongside competitor density and overall demand can help determine how closely locations can be placed without hurting performance. In many cases – especially in high-frequency categories like grocery – markets can support stores that are closer together than expected.
Physical retail is increasingly defined by a small group of dominant players – Walmart, Target, Costco Wholesale, and Dollar General – that span grocery, essentials, and discretionary categories at a scale no other retailers can match. These chains serve as bellwethers of consumer behavior, revealing where Americans are spending, how often they shop, and what drives their decisions. And understanding their visitation patterns sheds light on the key dynamics shaping both their performance and the broader blueprint for retail success in 2026.
Retail giants Walmart, Target, Costco Wholesale, and Dollar General continue to capture a growing share of brick-and-mortar visits nationwide.
• The share of physical retail traffic captured by these giants rose from 16.8% in 2019 to 17.5% in Q1 2026, signaling continued sector consolidation.
• The scale advantage enjoyed by retail giants is increasingly self-reinforcing: Larger players benefit from superior data, stronger vendor leverage, and operational efficiencies that in turn further widen the gap.
• As these advantages compound, direct competition becomes less viable. Instead, smaller retailers should focus on owning specific trip missions – such as convenience, fill-in, or discovery – where format, assortment curation, and in-store experience can more directly shape consumer choice.
• For CRE operators, the growing dominance of these retail giants increases reliance on top-tier anchors, potentially driving performance gaps between centers with strong national tenants and those without.
• For CPG companies, the consolidation in the offline retail space heightens channel concentration, making success with a handful of large retailers critical while increasing those retailers’ negotiating leverage.
Traffic trends across the four giants reveal meaningful divergence in performance.
• Costco and Dollar General are driving the strongest visit growth, supported by both substantial fleet expansions and rising visits per location. In 2025, visits per store exceeded pre-pandemic levels by 18.1% for Costco and 10.2% for Dollar General, with both brands also seeing steady increases in their share of total brick-and-mortar retail chain visits.
• Walmart remains the largest player by far, accounting for 9.7% of traffic to major brick-and-mortar chains in 2025. And though the behemoth’s share of visits declined slightly in the immediate aftermath of the pandemic, it has held steady over the past three years.
• Target’s visit share has remained relatively flat over the past three years, reflecting stalled momentum. Still, early 2026 trends point to emerging signs of recovery – with Q1 visits up 8.3% compared to Q1 2019.
• Value retail is winning, but in more specialized forms: Dollar General (extreme value + convenience) and Costco (bulk value + loyalty) are driving the strongest traffic growth and rising visits per store, while Walmart’s broad “everyday value” remains steady with slower growth. Target, for its part, is lagging – likely a reflection of the broader bifurcation in retail which has left middle-market players caught between consumers trading down to value and those trading up to quality.
• For retailers and CPG companies, the broader lesson is that value perception is becoming more nuanced. It’s no longer just about offering low prices at scale, but about how value is delivered – whether through small packs vs. bulk, or quick trips vs. stock-up missions. Success increasingly depends on prioritizing these distinct value formats and investing in channels where store-level productivity is improving.
• For CRE operators, the outperformance of retailers with clearly defined value propositions underscores the importance of mission-driven tenant mix. As shoppers visit with increasingly specific missions in mind, retailers that cater to those missions are outperforming. Tenant strategies should reflect this shift, ensuring complementary offerings that reinforce a cohesive shopping mission.
Walmart remains the dominant brick-and-mortar retailer nationwide and across all fifty states. Still, the data suggests there is room for multiple runners-up to succeed across geographies and customer segments.
• Dollar General, Target, and Costco each attract distinct audience segments. Dollar General attracts a disproportionately high share of the “Mature and Retired Living” segment, while Costco leads among family households, with Target also over-indexing with this group. Among younger “Contemporary Households,” meanwhile – a segment encompassing singles, married couples without children, and non-family households – Target commands the highest share, slightly over-indexing compared to the nationwide baseline.
• Regional strengths vary significantly, with Dollar General concentrated in the South, Costco dominant in the Northwest, and Target showing more dispersed areas of strength.
• Despite similar overall visit share, Dollar General leads in more states (26 vs. 17 for Target), reflecting broader geographic dominance.
• For retailers, the data suggests that growth opportunities are increasingly shaped by localized demographic and geographic dynamics – meaning that targeted, market-specific strategies may be more effective than uniform national approaches.
• Younger “Contemporary Households” remain less locked-in than older demographics, representing a key battleground for future growth.
• For CPG companies, this data highlights that channel strategy is really about building the right mix of retailers, since even large national players reach different types of consumers.
• CRE operators should ask "which anchor is right for this trade area" rather than "which anchor is strongest," as mismatched tenants can underperform even if they’re nationally dominant.
After remaining essentially flat in 2025, average visits per location to Walmart grew 3.5% YoY in Q1 2026. And the retailer’s solid Q1 performance across the U.S. underscores its unique ability to resonate across income levels, geographies, and shopping missions.
• Walmart posted year-over-year visit growth across nearly all U.S. markets in Q1 2026, reinforcing its role as a universally relevant retailer.
• The giant’s comparative softness in small parts of the Northeast suggests an opportunity to double down on region-specific assortments, urban-friendly formats, or partnerships to better match local shopping behaviors.
• Walmart’s broad-based growth shows that even as consumers are increasingly willing to visit multiple retailers to get what they want, its Superstore model has solidified its role as a primary stop on the American shopping journey – making it a uniquely reliable anchor for CRE operators.
• For smaller retailers, this underscores the opportunity to win the “second stop” – capturing trips through curated assortments and more tailored in-store experiences that Walmart’s scale is less optimized to deliver.
• For CPG companies, Walmart stands out as a highly attractive partner for broad, efficient reach, given its consistent traffic across markets.
Target’s recent performance suggests early momentum in reversing prior softness.
• Q1 2026 visits to Target rose 5.1% year over year, marking the chain’s first positive visit growth in more than a year, and suggesting that the chain’s new turnaround strategy may be bearing fruit.
• Gains were driven primarily by visits lasting 30 to 45 minutes, which accounted for 19.6% of overall visits to Target in Q1 2026 – pointing to stronger in-store engagement rather than quick, mission-driven stops.
• Target’s return to traffic growth – driven by increases in mid-length trips – signals a sustainable recovery on the horizon, strengthening its reliability as a traffic-driving tenant for CRE operators.
• Target's turnaround shows retailers how increasing shopper engagement can generate growth by converting quick trips into higher-value, multi-category experiences.
• For CPG companies, the rise in mid-length visits indicates a more receptive in-store environment for discovery and trade-up, making Target an increasingly attractive channel for innovation, merchandising, and premium offerings.
Dollar General is becoming embedded in consumers’ daily routines.
• Visitor frequency to Dollar General is on the rise. In Q1 2026, nearly a quarter of visitors frequented the chain at least four times in an average month, up from 21.2% in Q1 2022.
• Dollar General is becoming increasingly local in nature: As its footprint expands, more visits originate nearby, with 28.0% coming from within one mile – reinforcing its role as a neighborhood store of choice.
• Dollar General’s visitation patterns point to a growing ownership of the convenience mission. Its expanding store density is creating a self-reinforcing network effect, where proximity fuels frequency, and frequency strengthens long-term defensibility.
• For retailers, Dollar General’s rising share of nearby and high-frequency visits shows that proximity can drive habit, making convenience a powerful lever for building repeat behavior.
• For CRE operators, the data highlights the strength of hyper-local, necessity-driven traffic, positioning Dollar General as a stable tenant that anchors consistent, repeat visitation.
• For CPG professionals, the increase in frequent trips signals a high-velocity purchase environment, favoring smaller pack sizes and products that align with regular replenishment cycles.
Costco continues to grow and diversify its audience despite higher membership fees and stricter food court access policies, highlighting the strength of its value proposition and loyalty model.
• In September 2024, Costco raised its membership fees for the first time in seven years – and more recently tightened enforcement of member-only access to its food courts. Despite these changes, visitation has remained strong, highlighting the company’s pricing power and deep customer loyalty.
• At the same time, Costco’s shopper base is broadening, with median household income trending slightly downward while remaining relatively affluent.
• Offering strong value to a relatively affluent consumer base can be a winning formula in 2026. Retailers that combine quality, trust, and perceived savings – rather than competing solely on low prices – are well positioned to drive both loyalty and sustained traffic growth.
• For CRE operators, Costco’s sustained traffic growth and broadening shopper base reinforce its value as a standalone, high-demand traffic magnet that can anchor entire trade areas and drive surrounding retail development.
• For CPG companies, the combination of high traffic and declining median HHI signals that Costco is evolving into a scaled channel reaching beyond affluent shoppers, requiring more diversified assortment and pricing strategies.
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It’s been decades since the U.S. last hosted the World Cup, and anticipation continues to build. While the matches themselves will deliver thrilling moments for fans inside the stadium, a far broader audience is expected to engage from beyond the gates – gathering at bars, watch parties, and living rooms across the country.
Drawing on insights from recent sporting and cultural events, this analysis examines how the World Cup may impact consumer behavior and audiences across stadiums, host cities, and nationwide.
In 2025, MetLife Stadium in East Rutherford, NJ hosted a wide range of concerts and sporting events. And an examination of three – Kendrick Lamar & SZA’s tour stop, the FIFA Club World Cup Final, and a Week 17 New York Jets matchup against division rivals and the Super Bowl-bound New England Patriots – reveals clear differences in audience composition across event types.
Trade area analysis showed that the 2025 FIFA Club World Cup Final drew the largest share of single visitors and the highest median household income (HHI) of the three events – a pattern that could reflect the premium tickets and travel typically associated with a quadrennial championship match.
With the 2026 World Cup elevating the level of global competition, stadiums set to host matches this summer – including MetLife – may see even more dramatic shifts in their audience relative to other events.
While spectators attending World Cup matches are likely to differ from those drawn to other events throughout the year, audience shifts are likely to occur also within the tournament itself. As the competition progresses and the stakes rise, the visitor profile at host stadiums may trend progressively higher-income, as suggested by an analysis of Levi’s Stadium in Santa Clara, CA during the recent NFL season and Super Bowl.
During the Super Bowl, the stadium’s captured market median HHI surpassed that of every 49ers home game during the 2025-26 season – a pattern consistent with the event’s premium ticket pricing, national draw, and high levels of out-of-market travel.
And since the World Cup only takes place every four years, and necessitates international travel for die-hard fans, attendees are likely to be even more affluent than Super Bowl go-ers. Moreover, as the tournament reaches its later stages, each match becomes more significant and carries the potential to drive an even more affluent in-person audience.
Diving deeper into last year’s FIFA Club World Cup Final and Semifinal matches at MetLife Stadium provides further insight into the significance of the in-person audience that doesn’t make it into the stands. While FIFA generally places restrictions on tailgating, the behavior was still observed at MetLife and several other tournament venues in 2025. To put the phenomenon into perspective, location intelligence indicates that on the day of the Club World Cup final, combined visits to MetLife and its parking lots were 24.8% higher than visits to the stadium alone.
AI-powered trade area analysis further contextualizes the economic significance of this audience. During the semifinal matches, MetLife Stadium’s captured market median HHI remained nearly identical – just over $100K – with and without parking lot visitors. A similar pattern held for the Final, where median HHI for both the stadium-only and combined stadium-plus-parking visitors both rose above $115K, with the stadium-only figure only marginally higher.
This suggests that tailgaters represent a significant cohort with discretionary income to spend on the broader match-day experience, even if they opt out of spending big money on tickets.
With tailgating during the 2026 World Cup likely to remain limited due to FIFA regulations, the spending power of fans just outside the stadiums could create opportunities for alternative forms of engagement. Fan zones and other nearby hospitality events may offer effective ways to capture demand.
Nearby dining and entertainment venues are among the most accessible experiences for fans in the stadium area, and these stand to benefit significantly from elevated game-day foot traffic.
Analysis of recent FIFA Club World Cup matches reveals the impact of match-day activity on local businesses. Visitor journey data from the June 25th, 2025 matchup between Inter Milan and River Plate at Seattle’s Lumen Field, and the June 28th, 2025 meeting between Palmeiras and Botafogo at Lincoln Financial Field in Philadelphia reveals that a significant share of stadium visitors also stopped at nearby dining and recreation venues on the day. Location intelligence also shows that, on the day of the match, each stadium-adjacent venue received a significant visit boost compared to its 2025 daily average.
This pattern underscores the potential impact of the World Cup on the surrounding commercial ecosystem. The stadium may anchor the experience, but fan engagement will likely spill into adjacent areas – creating opportunities for both organizers and local businesses. To take full advantage, restaurants and bars can position themselves as fan-friendly destinations through watch parties, extended hours, and even mobile or outdoor offerings in stadium corridors.
Previous major sporting events – including the Super Bowl – demonstrate that the impact of large-scale sporting moments often extends beyond the immediate stadium vicinity into the broader regional economy.
In the weeks leading up to the latest Super Bowl in Santa Clara, CA on February 8th, 2026, both the San Francisco-Oakland-Berkley and San Jose-Sunnyvale-Santa Clara CBSAs saw a notable uptick in year-over-year dining traffic – outperforming the nationwide average. The timing suggests that early-arriving travellers combined with locals enjoying pre-event concerts and events helped fuel demand. In contrast, nationwide dining traffic saw a more pronounced lift the following week – likely tied to Valentine’s Day on February 14.
This pattern indicates that regions hosting – or located near – World Cup 2026 matches could experience similar pre-event dining tailwinds. As out-of-town visitors arrive and local engagement builds in the days and weeks leading up to key matches, restaurants and hospitality may benefit from elevated demand – particularly when supported by ancillary events and fan experiences.
Other recent examples suggest that cities hosting major events like the World Cup stand to benefit from an influx of out-of-town visitors – particularly those with higher spending power.
Since the beginning of 2025, New Orleans has hosted a series of popular events that drove significant non-local traffic. AI-powered trade area data indicates that during these periods, out-of-market visitors consistently exhibited a higher median HHI than both local residents and typical commuters into the city.
As expected, the 2025 Super Bowl generated the most pronounced spike in out-of-market visitor median HHI among the events analyzed, but the pattern extends beyond one-time spectacles. Recurring events like Mardi Gras and major music festivals also attracted high-income visitors to the city – likely benefitting the local hospitality, dining, and retail industries.
Looking ahead to the 2026 World Cup, host cities are likely to experience a similar dynamic. The tournament’s global draw will likely bring affluent travelers with discretionary dollars to the host regions – visitors that will spend not only on match tickets, but also on accommodation, dining, and shopping. By sponsoring tournament-related festivals, concerts, and experiences in or near retail corridors, cities can amplify the economic impact of the World Cup beyond the stadium.
The impact of the 2026 World Cup is unlikely to be confined to the select cities hosting matches. Major sporting events drive large-scale at-home viewership, generating ripple effects nationwide.
The Super Bowl offers a useful benchmark. In the days leading up to February 8th, 2026, visits to grocery stores and pizza chains rose above day-of-week averages for 2025, ultimately peaking on the day of the big game day as households appeared to pick up last-minute fixings and takeout for their watch parties.
This pattern indicates that the World Cup – with its extended schedule and multiple high-stakes matchups – could drive repeated waves of elevated grocery and take-out demand as fans gather together throughout the tournament.
Of course, at-home viewing is just one piece of the match-day equation. Many fans opt for a more communal experience – gathering at sports bars across the country to watch the game alongside fellow supporters.
Recent highly-anticipated soccer matches offer a clear signal of this behavior. During the recent Allstate Continental Clásico, MLS Cup Final, and SheBelieves Cup Final, top sports bars in key markets like Los Angeles and Miami recorded visit spikes above day-of-week averages.
Not every World Cup fan will be able to attend in-person or travel to a host city, but previous match-day lifts in sports bar traffic demonstrate that fans nationwide will participate in the tournament experience.
The 2026 FIFA World Cup is set to engage a wide spectrum of fans – from casual viewers at home to dedicated supporters traveling to stadiums – shaping how and where demand emerges.
As a result, the tournament’s impact will be felt across multiple layers of retail, dining, and tourism. Stadium-centered spending, activity in surrounding corridors, host-city consumer demand, and gatherings of spectators nationwide all point to a broad and interconnected World Cup effect that is likely to shape both audience composition and behavior at scale.
