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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.

Everybody loves coffee. And with some 75% of American adults indulging in a cup of joe at least once a week, it’s no wonder the industry is constantly on an upswing.
In early 2024, year-over-year (YoY) visits to coffee chains increased nationwide – with every state in the continental U.S. experiencing year-over-year (YoY) coffee visit growth.
The most substantial foot traffic boosts were seen in smaller markets like Oklahoma (19.4%), Wyoming (19.3%), and Arkansas (16.9%), where expansions may have a more substantial impact on statewide industry growth. But the nation’s largest coffee markets, including Texas (10.9%), California (4.2%), Florida (4.2%), and New York (3.5%), also experienced significant YoY upticks.
The nation’s coffee visit growth is being fueled, in large part, by chain expansions: Major coffee players are leaning into growing demand by steadily increasing their footprints. And a look at per-location foot traffic trends shows that by and large, they are doing so without significantly diluting visitation to existing stores.
On an industry-wide level, visits to coffee chains increased 5.1% YoY during the first five months of 2024. And over the same period, the average number of visits to each individual coffee location declined just slightly by 0.6% – meaning that individual stores drew just about the same amount of foot traffic as they did in 2023.
Drilling down into chain-level data shows some variation between brands. Dutch Bros., BIGGBY COFFEE and Dunkin’ all saw significant chain-wide visit boosts, accompanied by minor increases in their average number of visits per location.
Starbucks, for its part, which reported a YoY decline in U.S. sales for Q2 2024, maintained a small lag in visits per location. But given the coffee leader’s massive footprint – some 16,600 stores nationwide – its ability to expand while avoiding more significant dilution of individual store performance shows that Starbucks’ growth is meeting robust demand.
What is driving the coffee industry’s remarkable category-wide growth? And who are the customers behind it? This white paper dives into the data to explore key factors driving foot traffic to leading coffee chains in early 2024. The report explores the demographic and psychographic characteristics of visitors to major players in the coffee space and examines strategies brands can use to make the most of the opportunity presented by a thriving industry.
One factor shaping the surge in coffee visit growth is the slow-but-sure return-to-office (RTO). Hybrid work may be the post-COVID new normal – but RTO mandates and WFH fatigue have led to steady increases in office foot traffic over the past year. And in some major hubs – including New York and Miami – office visits are back to more than 80.0% of what they were pre-pandemic.
A look at shifting Starbucks visitation patterns shows that customer journeys and behavior increasingly reflect those of office-goers. In April and May 2022, for example, 18.6% of Starbucks visitors proceeded to their workplace immediately following their coffee stop – but by 2024, this share shot up to 21.0%.
Over the same period, the percentage of early morning (7:00 to 10:00 AM) Starbucks visits lasting less than 10 minutes also increased significantly – from 64.3% in 2022 to 68.7% in 2024. More customers are picking up their coffee on the go – many of them on the way to work – rather than settling down to enjoy it on-site.
Dunkin’ is another chain that is benefiting from consumers on the go. Examining the coffee giant’s performance across major regional markets – those where the chain maintains a significant presence – reveals a strong correlation between the share of Dunkin’ visits in each state lasting less than five minutes and the chain’s local YoY trajectory.
In Wisconsin, for example, 50.9% of visits to Dunkin’ between January and May 2024 lasted less than five minutes. And Wisconsin also saw the most impressive YoY visit growth (5.9%). Illinois, Ohio, Maine, and Connecticut followed similar patterns, with high shares of very short visits and strong YoY showings.
On the other end of the spectrum lay Tennessee, Alabama, and Florida, where very short visits accounted for a low share of the chain’s statewide total – under 40.% – and where visits declined YoY.
Dunkin’s success with very short visits may be driven in part by its popular app, which makes it easy for harried customers to place their order online and save time in-store. And this is good news indeed for the coffee leader – since customers using the app also tend to generate bigger tickets.
Dutch Bros.’ meteoric rise has been fueled, in part, by its appeal to younger audiences. Recently ranked as Gen Z’s favorite quick-service restaurant, the rapidly-expanding coffee chain sets itself apart with a strong brand identity built on cultivating a positive, friendly customer experience.
And Dutch Bros.’ people-centered approach is resonating especially well with singles – including young adults living alone – who may particularly appreciate the chain’s community atmosphere.
Analyzing the relative performance of Dutch Bros.’ locations across metro areas – focusing on regions where the chain has a strong local presence – shows that it performs best in areas with plenty of singles. Indeed, the share of one-person households in Dutch Bros.’ local captured markets is very strongly correlated with the coffee brand’s CBSA-level YoY per-location visit performance. Areas with higher concentrations of one-person households saw significantly more YoY visit growth in the first part of 2024. (A chain’s captured market is obtained by weighting each Census Block Group (CBG) in its trade area according to the CBG’s share of visits to the chain – and so reflects the population that actually visits the chain in practice).
The share of one-person households in Dutch Bros.’ Tucson, AZ captured market, for example, stands at 33.4% – well above the nationwide baseline of 27.5%. And between January and May 2024, Tucson-area Dutch Bros. saw a 6.0% increase in the average number of visits per location. Tulsa, OK, Medford, OR, and Oklahoma City, OK – which also feature high shares of one-person households (over 30.0%) – similarly saw per-location visit increases ranging from 3.6% - 7.0%. On the flip side, Fresno, CA, Las Vegas-Henderson-Paradise, NV, and San Antonio-New Braunfels, TX, which feature lower-than-average shares of single-person households, saw YoY per-location visit declines ranging from 1.5%-9.5%.
As Dutch Bros. forges ahead with its planned expansions, it may benefit from doubling down on this trends and focusing its development efforts on markets with higher-than-average shares of one-person households – such as university towns or urban areas with lots of young professionals.
Michigan-based BIGGBY COFFEE is another java winner in expansion mode. With a growth strategy focused on emerging markets with less brand saturation, BIGGBY has been setting its sights on small towns and rural areas throughout the Midwest and South. Though the chain does have locations in bigger cities like Detroit and Cincinnati, some of its most significant markets are in smaller population centers.
And a look at the captured markets of BIGGBY’s 20 top-performing locations in early 2024 shows that they are significantly over-indexed for suburban consumers – both compared to BIGGBY as a whole and compared to nationwide baselines. (Top-performing locations are defined as those that experienced the greatest YoY visit growth between January and May 2024).
“Suburban Boomers”, for example – a Spatial.ai: PersonaLive segment encompassing middle-class empty-nesters living in suburbs – comprised 10.6% of BIGGBY’s top captured markets in early 2024, compared to just 6.6% for BIGGBY’s overall. (The nationwide baseline for Suburban Boomers is even lower – 4.4%.) And Upper Diverse Suburban Families – a segment made up of upper-middle-class suburbanites – accounted for 9.6% of the captured markets of BIGGBY’s 20 top locations, compared to just 7.2% for BIGGBY’s as a whole, and 8.3% nationwide.
Coffee has long been one of America’s favorite beverages. And java chains that offer consumers an enjoyable, affordable way to splurge are expanding both their footprints and their audiences. By leaning into shifting work routines and catering to customers’ varying habits and preferences, major coffee players like Starbucks, Dunkin’, Dutch Bros., and BIGGBY COFFEE are continuing to thrive.
Note: This report is based on an analysis of visitation patterns for regional and nationwide grocery chains and does not include single-location stores.
Grocery stores, superstores, and dollar stores all carry food products – and American consumers buy groceries at all three. But even in today’s crowded food retail environment, traditional grocery chains have a special role to play. With their primary focus on stocking a wide variety of fresh foods, these chains serve a critical function in offering consumers access to healthy options.
But visualizing the footprints of major grocery chains across the continental U.S. – alongside those of discount & dollar stores – shows that the geographical distribution of grocery chains remains uneven.
In some areas, including parts of the Northeast, Midwest, South Atlantic, and Pacific regions, grocery chains are plentiful. But in others – some with population centers large enough to feature a robust dollar store presence – they remain in short supply.
And though many superstore locations also provide a full array of grocery offerings, they, too, are often sparsely represented in areas with low concentrations of grocery chains.
For grocery chain operators seeking to expand, these underserved grocery markets can present a significant opportunity. And for civic stakeholders looking to broaden access to healthy food across communities, these areas highlight a policy challenge. For both groups, identifying underserved markets with significant untapped demand can be a critical first step in deciding where to focus grocery development initiatives.
This white paper dives into the location analytics to examine grocery store availability across the United States – and harnesses these insights to explore potential demand in some underserved markets. The report focuses on locations belonging to regional or nationwide grocery chains, rather than single-location stores.
Last year, grocery chains accounted for 43.4% of nationwide visits to food retailers – including grocery chains, superstores, and discount & dollar stores. But drilling down into the data for different areas of the country reveals striking regional variation – offering a glimpse into the variability of grocery store access throughout the U.S. In some states, grocery stores attract the majority of visit share to food retailers, while in others, dollar stores or superstores dominate the scene.
The ten states where residents were most likely to visit grocery chains in early 2024 – Oregon, Vermont, Washington, Massachusetts, California, Maryland, New Hampshire, Connecticut, New Jersey, and Rhode Island – were all on the East or West Coasts. In these states, as well as in Nevada and New York, grocery chain visits accounted for 50.0% or more of food retail visits between January and April 2024.
Meanwhile, residents of many West North Central and South Central states were much less likely to do their food shopping at grocery chains. In North Dakota, for example, grocery chain visits accounted for just 11.7% of visits to food retailers over the analyzed period. And in Mississippi, Oklahoma, and Arkansas, too, grocery stores drew less than 20.0% of the overall food retail foot traffic.
But low grocery store visit share does not necessarily indicate a lack of consumer interest or ability to support such stores. And in some of these underserved regions, existing grocery chains are seeing outsize visit growth – indicating growing demand for their offerings.
North Dakota, the state with the smallest share of visits going to grocery chains in early 2024, experienced a 9.1% year-over-year (YoY) increase in grocery visits during the same period – nearly double the nationwide baseline of 5.7%. Other states with low grocery visit share, including Nebraska, Arkansas, Alabama, Mississippi, and New Mexico, also experienced higher-than-average YoY grocery chain visit growth. This suggests significant untapped potential for grocery stores and a market that is hungry for more.
Alabama is one state where grocery chains accounted for a relatively small share of overall food retail foot traffic in early 2024 (just 28.9%) – but where YoY visit growth outperformed the nationwide average. And digging down even further into local grocery store visitation trends provides further evidence that at least in some places, low grocery visit share may be due to inadequate supply, rather than insufficient demand.
In Central Alabama, for example, many residents drive at least 10 miles to reach a local grocery chain. And several parts of the state, both rural and urban, feature clusters of grocery stores that draw customers from relatively far away.
But zooming in on YoY visitation data for local grocery chain locations shows that at least some of these areas likely harbor untapped demand. Take for example the Camden, Butler, Thomasville, and Gilbertown areas (circled in the map above). The Piggly Wiggly location in Butler, AL, drew 40.1% of visits from 10 or more miles away. The same store experienced a 23.3% YoY increase in visits in early 2024 – far above the statewide baseline of 6.6%. Meanwhile, the Super Foods location in Thomasville, AL, which drew 52.8% of visits from at least 10 miles away – experienced YoY visit growth of 12.3%. The Piggly Wiggly locations in Camden, AL and Gilbertown, AL saw similar trends.
At the same time, trade area analysis of the four locations reveals that the grocery stores had little to no trade area overlap during the analyzed period. Each store served specific areas, with minimal cannibalization among customer bases.
These metrics appear to highlight robust demand for grocery stores in the region – grocery visits are growing at a stronger rate than those in the overall state, people are willing to make the drive to these stores, and each one has little to no competition from the others.
While significant opportunity exists across the country, many communities still face considerable challenges in supporting large grocery stores. Though South Carolina has a significant number of grocery chain locations, for example, certain areas within the state have low access to food shopping opportunities. And one local government – Greenville County – is considering offering tax breaks to grocery stores that set up shop in the area, to improve local fresh food accessibility.
Placer.ai migration and visitation data shows that Greenville County is ripe for such initiatives: the county’s population grew by 4.8% over the past four years – with much of that increase a result of positive net migration. And YoY visits to Greenville County Grocery Stores have consistently outperformed state averages: In April 2024, grocery visits in the county grew by 6.1% YoY, while overall visits to grocery stores in South Carolina grew by 4.2%. This growth – both in terms of grocery visits and population – points to rising demand for grocery stores in Greenville County.
Analyzing the Greenville County grocery store trade areas with Spatial.ai’s FollowGraph dataset – which looks at the social media activity of a given audience – offers further insight into local grocery shoppers’ particular demand and preferences.
Consumers in Greenville-area grocery store trade areas, for example, are more likely to be interested in “Mid-Range Grocery Stores” (including brands like Aldi, Kroger, and Lidl) than residents of grocery store trade areas in the state as a whole. This metric provides further evidence of local demand for grocery chains – and offers a glimpse into the kinds of specific grocery offerings likely to succeed in the area.
Grocery stores remain essential services for many consumers, providing a place to pick up fresh produce, meat, and other healthy food options. And many areas in the country are ripe for expansion, with eager customer bases and growing demand. Identifying such areas with location analytics can help both grocery store operators and municipal stakeholders provide their communities and customer bases with an enhanced grocery shopping experience that caters to local preferences.
Following COVID-era highs, domestic migration levels have begun to taper off – with the number of Americans moving within the U.S. hitting an all-time low, according to some sources, in 2023.
To be sure, some popular COVID-era destinations – including Idaho, the Carolinas, and Utah – saw their net domestic migration continue to rise, albeit at a slower pace. But other states which had been relocation hotspots between February 2020 and February 2023, such as Wyoming and Texas, experienced negative net migration between February 2023 and February 2024.
Analyzing CBSA-level migration data reveals differences and similarities between last year’s migration patterns and COVID-era trends.
Between February 2020 and February 2023, seven out of the ten CBSAs posting the largest population increases due to inbound domestic migration were located in Florida. But between February 2023 and February 2024, the top 10 CBSAs with the largest net migrated percent of the population were significantly more diverse. Only four out of the ten CBSAs were located in Florida, and several new metro areas – including Provo-Orem, UT, Kingsport-Bristol, TN-VA, and Boulder, CO – joined the list.
This white paper leverages a variety of location intelligence tools – including Placer.ai’s Migration Report, Niche Neighborhood Grades, and ACS Census Data location intelligence – to analyze two migration hotspots. Specifically, the report focuses on Daytona Beach, FL, which already appeared on the February 2020 to February 2023 list and has continued to see steady growth, and Boulder, CO, which has emerged as a new top destination. The data highlights the potential of CBSAs with unique value propositions to continue to attract newcomers despite ongoing housing headwinds.
The Boulder, CO CBSA has emerged as a domestic migration hotspot: The net influx of population between February 2023 and February 2024 (i.e. the total number of people that moved to Boulder from elsewhere in the U.S., minus those that left) constituted 3.1% of the CBSA’s February 2024 population.
The strong migration is partially due to the University of Colorado, Boulder’s growing popularity. But the metro area has also emerged as a flourishing tech hub, with Google, Apple, and Amazon all setting up shop in town, along with a wealth of smaller start ups.
Most domestic relocators tend to remain within state lines – so unsurprisingly, many of the recent newcomers to Boulder moved from other CBSAs in Colorado. But perhaps due to Boulder’s robust tech ecosystem, many of the new residents also came from Los Angeles, CA (6.6%) and San Francisco, CA (3.4%) – other CBSAs known for their thriving tech scenes.
At the same time, looking at the other CBSAs feeding migration to the area indicates that tech is likely not the only draw attracting people to Boulder: A significant share of relocators came from the CBSAs of Chicago, IL (6.1%), Dallas , TX (4.9%), and New York, NY (3.9%). The move from these relatively urbanized CBSAs to scenic Boulder indicates that some of the domestic migration to the area is likely driven by people looking for better access to nature or a general lifestyle change.
According to the U.S. News & World Report, Boulder ranked in second place in terms of U.S. cities with the best quality of life. Using Niche Neighborhood Grades to compare quality of life attributes in the Boulder CBSA and in the areas of origin dataset highlights some of the draw factors attracting newcomers to Boulder beyond the thriving tech scene.
The Boulder CBSA ranked higher than the metro areas of origin for “Public Schools,” “Health & Fitness,” “Fit for Families,” and “Access to Outdoor Activities.” These migration draw factors are likely helping Boulder attract more senior executives alongside younger tech workers – and can also explain why relocators from more urban metro areas may be choosing to make Boulder their home.
Boulder’s strong inbound migration numbers over the past year – likely driven by its flourishing tech scene and beautiful natural surroundings – reveal the growth potential of certain CBSAs regardless of wider housing market headwinds.
Florida experienced a population boom during the pandemic, and several CBSAs in the state – including the Deltona-Daytona Beach-Ormond Beach, FL CBSA – have continued to welcome domestic relocators in high numbers. The CBSA’s anchor city, Daytona Beach – known for its Bike Week and NASCAR’s Daytona 500 – has also seen positive net migration between February 2023 and February 2024.
Americans planning for retirement or retirees operating on a fixed income are likely particularly interested in optimizing their living expenses. And given Daytona’s relative affordability, it’s no surprise that the median age in the areas of origin feeding migration to Daytona Beach tends to be on the older side.
According to the 2021 Census ACS 5-Year Projection data, the median age in Daytona Beach was 39.0. Meanwhile, the weighted median age in the areas of migration origin was 42.6, indicating that those moving to Daytona Beach may be older than the current residents of the city.
Zooming into the migration data on a zip code level also highlights Daytona Beach’s appeal to older Americans: The zip code welcoming the highest rates of domestic migration was 32124, home to both Jimmy Buffet’s Latitude Margaritaville’s 55+ community and the LPGA International Golf Club, host of the LPGA Tour. The median age in this zip code is also older than in Daytona Beach as a whole, and the weighted age in the zip codes of origin was even higher – suggesting that older Americans and retirees may be driving much of the migration to the area.
Looking at the migration draw factors for Daytona Beach also suggests that the city is particularly appealing to retirees, with the city scoring an A grade for its “Fit for Retirees.” But the city of Daytona Beach is also an attractive destination for anyone looking to elevate their leisure time, with the city scoring higher than Daytona Beach’s cities of migration origin for “Weather,” “Access to Restaurants,” or “Access to Nightlife.”
Like Boulder, Daytona’s scenery – including its famous beaches – is likely attracting newcomers looking to spend more time outdoors and improve their work-life balance. And like Boulder and its tech scene, Daytona Beach also has an extra pull factor – its affordability and fit for older Americans – that is likely helping the area continue to attract new residents, even as domestic migration slows down nationwide.
Although the overall pace of domestic migration has slowed, analyzing location intelligence data reveals several migration hotspots amidst the overall cooldown. Boulder and Daytona Beach each have a set of unique draw factors that seem to attract different populations – and the success of these regions highlights the many paths to migration growth in 2024.
