.svg)
.avif)
Recent McDonald's menu additions such as the annual Shamrock Shake release and the Big Arch Burger pilot appear to have generated only a modest lift in McDonald’s foot traffic. Although visits increased 5.5% year-over-year during the week of February 16th 2026 – the week of the Shamrock Shake's launch – traffic the following week dipped -0.5%, suggesting the seasonal item generated only a short-lived bump rather than a sustained lift in visits. And the heavily publicized Big Arch generated just a 2.2% YoY traffic boost during its launch week of March 2nd to March 8th 2026 – although performance may strengthen as the item gains traction with consumers.
So while these LTOs did generate modest traffic lifts for the chain, the impact was relatively muted compared to some of last year’s stronger performers, such as McDonald’s Grinch Meals. These results may suggest that consumers are becoming increasingly selective in their spending – potentially making it more difficult for QSR chains to rely on LTOs alone to drive meaningful traffic momentum without additional value-oriented offerings.
While recent LTOs delivered only modest gains on their own, pairing LTOs with a clearer value proposition – such as the upcoming McValue 2.0 – may prove more effective, with limited-time items drawing attention and value-focused offerings encouraging repeat visits. In a price-sensitive environment, this dual strategy could drive a more sustainable traffic lift than product innovation or value promotions alone.
For more data-driven restaurant 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.
.avif)
Confidence in physical retail remains solid this year. More than 55% of survey respondents said they feel confident or very confident about brick-and-mortar performance in 2026, while only around 20% expressed concern.
This sentiment aligns with the broader performance of the sector. The chart below shows two consecutive years of modest but positive retail visit growth, with year-over-year (YoY) gains hovering around 1%. While that pace reflects a relatively stable – rather than booming – environment, it reinforces the idea that physical retail continues to demonstrate resilience despite macroeconomic uncertainty.
Still, the results also highlight an element of caution. Nearly half of respondents reported feeling neutral or concerned about the coming year, suggesting that while the foundation for brick-and-mortar retail remains strong, industry leaders are watching economic conditions closely.
At the same time, most respondents believe online retail will continue to grow faster than physical stores. Nearly 70% said they expect e-commerce to outpace brick-and-mortar growth over the next twelve months.
This outlook is hardly surprising given e-commerce’s smaller starting point and the ongoing digital expansion across the retail landscape. But crucially, the expectation of stronger online growth does not translate into pessimism about stores. Nearly a third of respondents said they were actually more bullish on physical retail than on e-commerce.
These findings suggest the industry has moved beyond the once-dominant narrative that e-commerce would inevitably replace physical retail. Instead, the data reflects a growing consensus that the two channels are increasingly complementary – a story also supported by visit data, which shows e-commerce activity growing faster than brick-and-mortar retail even as both continue to expand. The rise of online retail doesn’t reduce the necessity of physical stores – it pushes retailers, brands, and landlords alike to develop clearer strategies for how online and offline channels work together to create a seamless consumer journey that leverages the unique advantages of each.
When we asked professionals about the role agentic AI could play in retail in the coming years, our expectation was a resounding vote for the lift it would provide e-commerce. And indeed, 44% of respondents said they expect agentic AI to increase the share of online retail.
However, reflecting the growing recognition that retail’s future lies in more harmonized commerce, 34% of respondents said they believe agentic AI will lift all boats – increasing incremental growth across commerce more broadly.
This is a significant signal. It reinforces the idea that innovation, whether centered on physical or digital shopping, is most powerful when it creates value across the entire ecosystem. Rather than viewing technology as a zero-sum competition between channels, many retail leaders increasingly see tools like AI as ways to strengthen the overall shopping experience. And that perspective makes it more likely that retailers and brands will evaluate new technologies through a broader lens that prioritizes integrated commerce.
Understanding why consumers visit stores remains central to shaping the next phase of brick-and-mortar retail. When survey participants were asked to identify the key drivers of in-store visits, tactile experiences topped the list, with nearly 80% of respondents pointing to the ability to see, touch, and try products as among the biggest advantages of physical retail. Another 70% highlighted the enjoyment of the in-store shopping experience itself – emphasizing another element that is difficult to replicate online.
At the same time, respondents expressed skepticism about some of the strategies often cited as drivers of store traffic. Only 12% identified services such as buy-online-pickup-in-store (BOPIS) or in-store returns as major traffic drivers. This suggests that while these services are important components of omnichannel retail – reflected, for example, in a growing share of short in-store visits across industries – they may not yet be fully integrated into shopping journeys in ways that maximize their potential.
Perhaps most surprisingly, only 30% of respondents said stores excel at inspiring shoppers to discover new products. Yet this capability may represent one of brick-and-mortar retail’s greatest untapped opportunities. Physical environments are uniquely positioned to spark discovery through merchandising, layout, and experiential elements – factors that can expand baskets and deepen customer engagement.
Industry sentiment also varies significantly across retail segments, with sector-level expectations closely tracking last year’s visit performance. When asked whether they expected various categories to grow, remain stable, or decline over the next twelve months, respondents were more likely to express confidence in continued growth or stability for segments that experienced stronger YoY traffic trends in 2025.
Wholesale clubs, which saw visits rise 5.0% YoY in 2025, topped the list – with 97% of respondents expecting growth or stability in the months ahead, followed by grocery stores at 96%. The strength of both sectors reflects broader consumer trends, including suburban living, increased home cooking, and a heightened focus on value and wellness.
Still, respondents are significantly more bullish on wholesale clubs than on traditional grocery stores: Breaking down the growth / stability outlook down further, 61% of respondents expect clubs to see continued growth, compared with about 35% for grocery stores.
One reason may be the club model’s ability to capture large shopping baskets. While consumers today are increasingly willing to visit multiple stores to find the best value or selection, club retailers excel at capturing a significant share of the shopping list once they secure the visit. Grocery stores, on the other hand, attract frequent trips – but these may include fewer items as shoppers spread spending across multiple retailers. This dynamic may push grocers to focus more heavily on specialization, differentiated offerings, and higher value per visit.
Mass merchandisers such as Walmart and Target also received strong confidence scores, reflecting Walmart’s recent performance and expectations surrounding Target’s ongoing turnaround strategy. Meanwhile, discount and dollar stores – another category that has performed well recently – were widely expected to remain stable, with fewer respondents predicting continued rapid growth for the sector in the months ahead.
There are few sectors we love talking about more than malls. Several years ago, the prevailing expectation was of a perpetual decline for the sector as a whole. But the “death of the mall” narrative has quickly diminished – or at least evolved. In our survey, 54% of respondents expected continued success for Tier 1 malls, while 30% anticipated decline across all mall types. Only 16% expected Tier 2 malls to perform well, and less than half of those believed that success would extend further down the tier ladder.
This largely aligns with visit data, with top-tier indoor malls driving significant success in recent years – a trend that will likely be further reinforced by the continued shift of key audiences toward the suburbs.
However, the potential of Tier 2 malls remains an area worth watching. A major part of the success of top malls has been a shift away from heavy concentrations of apparel and beauty toward more diverse tenant mixes, along with a stronger emphasis on elevated dining and experiences. This has been a critical element for the highest-performing malls. But in an environment where space is increasingly at a premium – and where less space is being dedicated to apparel and beauty in these top locations – a significant opportunity may emerge for Tier 2 malls to provide a stage for retailers that can no longer find a home in the most sought-after centers.
The result is an opportunity for these properties to become the “big fish” in smaller ponds, particularly if they focus on building tenant mixes that complement major regional players rather than compete with them directly. Executed well, this strategy could reduce direct competition while creating more destinations where consumers want to spend time.
Industry sentiment, especially when combined with visit data, offers a valuable snapshot of how retail is likely to evolve in the year ahead. Together, they point to a sector defined by steady physical retail performance, growing integration between online and in-store channels, optimism around technologies like AI, and shifting opportunities across segments from wholesale clubs and grocery to evolving mall formats.
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.
Swig, the Utah-born drive-thru concept that helped popularize customizable dirty sodas, has evolved from a regional novelty into one of the fastest-growing beverage chains in the country. Known for mixing classic soft drinks with flavored syrups, creams, and fruit add-ins – alongside cookies and pretzel bites – the brand has expanded well beyond its Mountain West roots.
This expansion is fueled by significant online hype, with new locations often generating lines that wrap around the block and leave some customers waiting over an hour to try their first drink. And as the brand pushes deeper into the Sunbelt and beyond, location analytics offer a window into how this growth is impacting traffic trends and reshaping the brand's audience.
Unsurprisingly, the data shows that as Swig has expanded its footprint, it has successfully grown its overall traffic. In February 2026, visits to the chain were 137.9% higher than in February 2023 – and up 30.7% year-over-year compared to February 2025.
The data also shows the emergence of a clear seasonal pattern, with visits to Swig peaking each year in the summer as people seek out cool soda treats to beat the heat. Notably, the magnitude of the summer peak in 2025 was larger than ever before, suggesting that as the chain becomes more mainstream, its seasonal appeal may be increasing. But the dramatic increase in off-season visits as well shows that Swig is successfully building a loyal customer base that craves its offerings year-round.
This rapid growth is also leading to a meaningful broadening of Swig’s customer base. While the chain’s trade areas still remain affluent relative to the average U.S. household, the median household income (HHI) of its captured market is dropping as it reaches a more varied demographic.
And while "Wealthy Suburban Families" and "Upper Suburban Diverse Families" remain Swig’s largest audience segments, their total share of the market has edged down as engagement deepens across additional cohorts. This includes, notably, households in Blue Collar Suburbs who are now overindexed at 8.1% of Swig’s captured market, compared to a 6.9% nationwide baseline.
As Swig continues its transition from a niche favorite to a broad staple, it will inevitably face the challenges of sustained growth, such as maintaining unit-level productivity and operational consistency. However, for now, the data and the visible excitement surrounding new openings suggest that the dirty soda pioneer still has plenty of fizz left.
For more data-driven dining analyses 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.
Foot traffic to retail corridors nationwide plummeted during the shelter-in-place restrictions of 2020, and recent data shows that visits have yet to fully recover to 2019 levels. While traffic has steadily improved each year since the pandemic lows, 2025 visits remain 11.7% below their pre-pandemic baseline.
What is holding the retail corridor recovery back? We dove into the data to find out.
Retail corridors are typically concentrated in downtown areas, featuring a mix of stores, restaurants, bars, and offices – and are often surrounded by even more office space. And comparing average visits per day of week in 2025 and 2019 suggests that the persistence of hybrid and remote work is likely driving much of the lag.
Monday through Thursday foot traffic to retail corridors was down between 16.3% and 17.3% in 2025 compared to 2019. The gap narrowed to 11.7% on Friday as activity began to shift toward the weekend, and nearly disappeared on Saturday (-2.8%) and Sunday (-4.2%).
The much larger weekday deficit suggests that reduced office attendance continues to weigh on downtown retail activity. With fewer workers commuting daily, there are fewer pre-work coffee stops, lunchtime errands, and spontaneous after-work visits that once fueled these corridors. So while leisure-driven weekend traffic has largely rebounded, the office-driven weekday ecosystem that historically sustained retail corridors has yet to fully return.
Hourly data reinforces the role that office attendance (or lack thereof) is playing in the retail corridor visit lag. The steepest declines are concentrated squarely within traditional workday hours: visits between 7 AM and 11 AM are down 23.7% compared to 2019, followed by a 19.2% decline from 11 AM to 3 PM. But the gap is much more moderate both earlier and later in the day (from 12 AM to 7 AM and 3 PM to 12 PM) in the day later in the day, with visits down 13.7% from 3 PM to 7 PM and just 9.6% after 7 PM. This suggests that the missing traffic is closely tied to reduced daily commuting – fewer morning coffee runs, lunch breaks, and midday errands – while evening and leisure-oriented visits have proven far more resilient. With more schedule flexibility, downtown businesses and civic stakeholders may need to focus on creating reasons for consumers to intentionally visit downtowns during slower weekday hours, rather than relying on routine commuter traffic to fill stores organically.
The retail corridor traffic data suggests that downtowns are facing a structural shift in when and why people visit. With fewer daily commuters, stakeholders may need to focus less on restoring a five-day office week and more on activating the days and hours that already show strength. Civic leaders can prioritize safety, cleanliness, transit reliability, and targeted weekday programming or events that encourage intentional trips downtown. Retailers and dining concepts can adapt hours, promotions, and experiences to better align with flexible work schedules. In a hybrid era, success may depend less on recreating old commuting patterns and more on making downtown a destination people choose – not just a place they pass through.
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.
Downtown Austin is navigating a period of unusual complexity. A convention center renovation and major highway construction have created significant disruption, while extreme summer heat and pullbacks in consumer spending are adding further pressure.
Yet despite these headwinds, visitation is nearing pre-pandemic levels. And a key factor driving Austin’s recovery has been its deliberate use of data to guide strategy, align stakeholders, and deploy resources where they can have the greatest impact.
Since 2022, Downtown Austin has been on a steady recovery trajectory. By 2025, non-resident and non-employee visits to the area reached 94.4% of 2019 levels – a milestone that becomes even more meaningful against the backdrop of this year’s intensely hot summer and the temporary closure of Austin’s convention center, which has remained offline since April 2025.
This data reveals resilience that might otherwise have gone unnoticed – critical framing when coordinating across agencies and reassuring stakeholders that downtown remains a reliable economic engine even during infrastructure transitions.
The composition of that visitation tells an equally important story. A growing share of visitors to downtown Austin are coming from within Texas – especially on weekends.
In an environment where consumers are more value-conscious and long-haul travel remains uneven, this regional draw has become a strategic asset. In-state travelers are more likely to make shorter, repeat trips, creating consistent demand for restaurants, entertainment venues, and retail corridors.
The Downtown Austin Alliance uses this insight to refine both marketing and access strategies. Partnerships such as discounted ride programs within a 30-mile radius reduce friction for local visitors during the holiday season, while targeted programming ensures downtown remains competitive as a weekend destination.
At the policy level, this data strengthens the case that downtown’s success benefits the broader state economy. When a rising share of visitors originates within Texas, the dollars spent downtown circulate locally – supporting jobs, generating tax revenue, and reinforcing Austin’s role as an economic anchor.
Data also helps the Alliance optimize services around major events that drive tourism to Austin – such as the annual ACL Music Festival and Formula 1 Grand Prix – supporting operational precision. High-traffic areas receive intensified cleaning and hospitality services, while lower-traffic zones become candidates for murals, activations, and smaller-scale programming designed to distribute energy more evenly. Event-driven data also informs conversations with transportation partners as construction continues to reshape mobility routes.
The strategic use of data is also evident in the revitalization of East Sixth Street. Long known as a historic entertainment corridor with a late-night reputation, the district is now the focus of a coordinated effort to evolve its positioning and offerings.
And data has played an important role in getting people on board. Location analytics, for example, show that out-of-market visitors to the district are coming from more affluent areas, showing that spending power exists and is growing – and that the district’s offerings may have room to evolve alongside its audience.
For property owners and local businesses, this data provides a clearer picture of market potential. And for public-sector partners, it strengthens the case for infrastructure upgrades and placemaking investments.
Austin’s experience offers a broader lesson for cities navigating disruption. Infrastructure transitions, climate pressures, and evolving travel patterns present real challenges – but by grounding placemaking strategies in clear, measurable data, Austin is strengthening downtown’s economic foundation and aligning stakeholders around a shared vision.
.avif)
Amid a tightening job market, the list of employers requiring workers to show up in person – many now mandating five days a week – continues to grow. But how did the office recovery fare in February 2026, a month marked by heavy snowstorms across major Northeast markets?
We dove into the data to find out.
In February 2026, visits to the Placer.ai Nationwide Office Index were 31.9% below 2019 levels – marking the smallest February post-pandemic visit gap to date. Overall attendance even slightly outpaced February 2024, a leap year that benefited from 20 business days instead of the usual 19.
While this is hardly the most impressive RTO showing we’ve seen in recent months, February’s gains came in spite of meaningful headwinds.
A late-February blizzard disrupted major Northeast markets, driving a year-over-year (YoY) decline in New York City office visits and widening Manhattan’s post-pandemic gap to 21.3% below 2019 levels. Boston, also hit hard by snow, saw visits remain flat YoY, slipping behind San Francisco and Denver in overall recovery progress.
By contrast, cities in other regions posted clear gains, with San Francisco – still benefiting from AI-driven hiring and renewed tech activity – once again seeing some of the strongest growth at +11.9% YoY.
February’s performance underscores a familiar pattern of month-to-month fluctuation, even as the broader RTO trajectory continues its upward climb. Regional dynamics – from weather disruptions to sector-specific hiring cycles – are shaping local outcomes, but the national baseline for office utilization is steadily rising.
For more data driven CRE 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.
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.
The Fitness industry was a major post-pandemic winner. Visits to gyms across the country surged as stay-at-home orders ended and people returned to their in-person workout routines. And even as consumers reduced discretionary spending in the face of inflation, they kept going to the gym – finding room in their budgets for the chance to embrace wellness and get in shape while interacting with other people.
But no category can sustain such unabated growth forever – and as the segment inevitably stabilizes, gyms will need to stay nimble on their feet to maintain their competitive edge.
This white paper takes a closer look at the state of Fitness as the category transitions into a more stable growth phase following two years of outsize post-pandemic demand. The report digs into the location analytics to reveal how the Fitness space has changed – and what strategies gyms can adopt to stay ahead of the pack.
*This report excludes locations within Washington state due to local legislation.
Monthly visits to the Fitness category have grown consistently year over year (YoY) since early 2022, when COVID subsided and gyms returned to full capacity. And the segment is still doing remarkably well. Even in January and March 2024 – when visits were curtailed by an Arctic blast and by the Easter holiday weekend – YoY Fitness visits remained positive, despite the comparison to an already strong 2023.
Still, recent months have seen smaller YoY increases than last year, indicating that the Fitness category is entering a more normalized growth phase.
By keeping a close watch on evolving consumer preferences, fitness chains can uncover new opportunities for growth and adaptation within a stabilizing market – including leaning into increasingly popular dayparts.
Examining the evolving distribution of gym visits by daypart over the past six years shows that major shifts were brought on by the COVID-19 pandemic.
Between Q1 2019 and Q1 2021, as remote work took hold, gyms saw their share of 2:00 PM - 5:00 PM visits increase from 15.8% to 18.6%. Though this trend partially reversed as the pandemic receded, afternoon visits remained elevated in Q1 2024 compared to pre-COVID – likely a reflection of hybrid work patterns that leave people free to take an exercise break during their workdays.
At the same time, the share of morning visits to fitness chains (between 8:00 AM and 11:00 AM) dropped from 20.5% in Q1 2019 to 17.2% in Q1 2024, while evening visits (between 8:00 PM and 11:00 PM) increased from 11.3% to 13.2%.
Gyms that recognize this changing behavior can adapt to new workout preferences – whether by incentivizing morning visits, scheduling popular classes mid-afternoon, or offering extended evening hours.
In fact, the data indicates that gyms that are leaning into the evening workout trend are already finding success: Of the top 12 most-visited gym chains in the country, those that saw bigger increases in their shares of evening visits also tended to see greater YoY visit growth.
EōS Fitness and Crunch Fitness, for example, have seen their shares of evening visits grow by 5.5% and 3.4%, respectively, since COVID – and in Q1 2024, their YoY visits grew by 29.0% and 21.8%, respectively. Other chains, including 24 Hour Fitness and Chuze Fitness, experienced similar shifts in visit patterns. At the same time, LA Fitness saw just a minor increase in its share of evening visits between Q1 2019 and Q1 2024, and a correspondingly small increase in YoY visits.
As the evening workout slot gains popularity, gym operators that can adapt to these new trends and encourage evening visits may see significant benefits in the years to come.
Diving into demographic data for the analyzed gym chains sheds light on some factors that may be driving this heightened preference for evening workouts at top-performing gyms.
The four fitness chains that experienced the greatest YoY visit boosts in Q1 – Crunch Fitness, EōS Fitness, 24 Hour Fitness, and Chuze Fitness – all featured trade areas with significantly higher-than-average shares of Young Professionals and Non-Family Households. (STI: PopStat’s Non-Family Household segment includes households with more than one person not defined as family members. Spatial.ai: PersonaLive’s Young Professional consumer segment includes young professionals starting their careers in white collar or technical jobs.)
In plainer terms, these consumer segments – typically young, well-educated, and without children – and therefore more likely to be flexible in their workout times – are driving visits to some of the best-performing gyms across the country. And these audiences seem to be displaying a preference for nighttime sweat sessions – a factor that gyms can take into account when planning programming and marketing efforts.
Leaning into emerging gym visitation patterns is one way for fitness chains to thrive in 2024 – but it isn’t the only marker of success for the segment. Even after years of visit growth, the market remains open to new opportunities and innovations that meet health-conscious consumers where they are.
STRIDE Fitness, a gym that offers treadmill-based interval training, has sparked a trend among running enthusiasts. This niche player is finding success, particularly among a specific demographic: runners and endurance training enthusiasts.
Between January and April 2024, monthly YoY visits to STRIDE Fitness consistently outperformed the wider Fitness space. A standout month was January, when STRIDE Fitness’s visits soared by an impressive 33.6% YoY, surpassing the industry average of 5.7% for the same period.
Psychographic data from the Spatial.ai’s FollowGraph dataset – which looks at the social media activity of a given audience – suggests that STRIDE Fitness’ trade areas are well-positioned to attract those visitors most open to its offerings. Residents of STRIDE Fitness’s potential market are 24% more likely to be, or to be interested in, Endurance Athletes than the nationwide average – compared to just 3% for the Fitness industry as a whole. Similar patterns emerge for Marathon Runners and Triathlon Participants. This indicates that the chain is well-situated near consumers with a passion for endurance sports and long distance running, helping it maintain a competitive edge in the crowded gym market.
Pickleball, a game that blends elements of tennis, ping pong, and badminton, is the fastest-growing sport in the country. And recognizing its broad appeal, some fitness chains have begun incorporating pickleball courts into their facilities.
Arizona-based EōS Fitness added a pickleball court at a Phoenix, AZ location – and early 2024 data highlights the impact of this addition. Between January and April 2024, the location drew between 9.1% and 33.3% more monthly visits than the chain’s Arizona visit-per-location average.
And analyzing the demographic profile of the chain’s location with a pickleball court reinforces the game’s increasingly wide appeal. Young consumer segments have been embracing the game in large numbers – and the Phoenix EōS Fitness location’s potential market includes a significantly higher share of 18 to 34-year-olds than the chain’s overall Arizona potential market. Residents of the pickleball location’s trade area are also less affluent than the chain’s Arizona average.
Pickleball has typically been associated with more affluent consumer segments, and it seems like this may be shifting. With more people than ever embracing the game, gyms that choose to add courts to their facilities may reap the foot traffic benefits.
The Fitness industry has undergone a significant transformation since COVID-19. The category’s outsize post-pandemic visit growth has begun to stabilize, and gyms are staying ahead by adapting to changing consumer preferences. Evenings are emerging as crucial dayparts for gym operators, likely driven by younger consumer segments. And niche fitness chains are seeing visit success, proving that there are plenty of ways for the Fitness segment to succeed.
