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Location intelligence for Walmart and Target highlights two distinct storylines in the superstore space – one defined by sustained momentum, and the other by the early stages of a rebound.
Over the past several months, Walmart has recorded consistent year-over-year (YoY) visit growth, with same-store visits closely tracking overall traffic – suggesting that gains are being driven primarily by existing locations rather than new store openings. This trend aligns with the company’s previously reported transaction growth, reinforcing the strength of underlying demand and serving as a positive signal as Q2 2026 progresses.
Target, on the other hand, entered 2026 under pressure, as visits trailed prior-year levels in both November and December 2025 – partly reflecting continued softness in discretionary categories, which represent a significant portion of its business.
January 2026, however, appeared to mark the beginning of a notable shift, with both overall visits and same-store visits stabilizing. The months that followed brought a meaningful traffic rebound, indicating that February’s positive sales trends may have continued, and new CEO Michael Fiddelke’s turnaround strategy may be bearing fruit. These improvements are particularly noteworthy in light of ongoing weakness in consumer sentiment and the impact of energy price hikes.
An analysis of visits to both brands by day of week adds further context to their recent performance. At Walmart and Target alike, weekday visits rose sharply YoY in Q1 2026 – marking a clear improvement for both retailers – while weekend visits remained essentially flat YoY.
For Target, this stabilization in weekend visits is notable, as prior declines had weighed on overall performance. This matters because weekends tend to capture more discretionary browsing and higher-margin categories that are central to Target’s model.
At the same time, with non-essential spending under pressure, growth anchored in steady weekday demand – reflecting routine, need-based shopping trips – suggests that both brands are reinforcing their roles as essential retail destinations. A measured, but steady, start to 2026.
AI-powered location intelligence indicates that Walmart continues to benefit from steady, need-based demand, while Target appears to be regaining traction after a softer period. Whether Target can build on this early momentum and translate it into sustained growth may be one of the more closely watched dynamics in the sector in the months ahead.
For updates, 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.
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We're living through one of the most consequential technology shifts of our lifetimes. Generative AI is reshaping how people analyze information, make decisions, and do their work at a pace that would have seemed implausible only a few years ago. For industries like ours, where professionals rely on data to make high-stakes decisions about the physical world, the opportunity is especially exciting. Insights that once took weeks can now surface in minutes. Analytical workflows that once required specialized training can become accessible to anyone.
But that opportunity comes with real responsibility. The same capabilities that make GenAI so powerful also introduce risks such as bias, accuracy, privacy, and misuse - and those risks compound when the underlying technology is moving faster than the norms and regulations around it. The companies building with AI today are, in many ways, writing the operating rules in real time. How we choose to do that matters.
At Placer, we want to be clear about how we choose to do it. Placer doesn't build its own large language models (LLMs). Instead, we use well-established, trusted models from leading providers - the same foundation models that power the most widely adopted AI tools in the enterprise today. That's a deliberate choice. Our value to customers comes from the depth and quality of our data and the analytical expertise built around it, not from reinventing general-purpose AI infrastructure.
But not building the models ourselves doesn't let us off the hook for how we use them. If anything, it raises the bar. When we embed GenAI into our platform, whether as an analytical assistant, an automated summary, or a future agent that helps professionals move faster through their workflows, our customers trust us with the outcome. They're trusting us to pick the right models, apply the right guardrails, protect their data, and be transparent about what the technology is and isn't doing.
That's why we're publishing our Responsible AI Principles today. They're clear, concise, and they reflect how we actually operate.
The four Responsible AI principles address the issues we believe matter most to the professionals who rely on Placer every day:
Fairness and bias mitigation. AI systems can reflect and amplify existing biases in their training data. Our core defense is something we've been doing since long before GenAI: continuously validating our models, monitoring our AI practices and de-biasing outputs where appropriate.
Transparency and accountability. When we use GenAI in customer-facing features, we say so. We build feedback mechanisms into the product and treat that feedback as a real input to how the system evolves.
Privacy by design. Our AI tools are built to identify patterns about places and brands, not individuals. The same strict privacy measures that govern the rest of the Placer platform apply to every new GenAI feature we ship.
Security and safety. We are responsible custodians of our customers' data and are committed to safeguarding its integrity using industry leading standards.
We've also published a clear statement on how Placer's GenAI capabilities may be used and what restrictions we apply. These aren't new restrictions; they extend the responsible-use commitments that have always governed how our data can be used.
We're excited about the era of GenAI and about the value these new capabilities will create for our customers. The AI principles we're publishing are part of a broader effort across the company that’s grounded in a simple idea: trust isn't something we claim once and move on from. It's something we earn in every feature we ship.
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April 2025 set a high bar for movie theater performance, with A Minecraft Movie (April 4) and Sinners (April 18) driving significant spikes in foot traffic. Against this strong comparison, year-over-year (YoY) theater visits trended negative through much of April 2026. This followed a stronger March 2026, when releases like Scream 7 and Project Hail Mary – and easier comparisons – helped sustain significant YoY traffic gains
While the highly anticipated The Devil Wears Prada 2 (released May 1) did not generate a meaningful YoY uplift – given the difficult April 2025 comparison – it appears to have helped stabilize visitation trends, halting the declines seen in prior weeks.
Overall, the data reinforces that theater traffic remains highly blockbuster-driven, with consumers still willing to return to theaters when content feels like a must-see experience. With a slate of major releases ahead – including Star Wars: The Mandalorian and Grogu in late May and Toy Story 5 in mid-June – the sector is likely to see renewed spikes in visitation tied to tentpole premieres.
For more data-driven consumer 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.
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April data indicates positive momentum for the mall sector, with year-over-year (YoY) traffic increases across all three formats analyzed – indoor malls, open-air shopping centers, and outlet malls. This performance is particularly notable given the strong April baseline last year, when traffic rose between 3.7% and 4.3% across formats compared to April 2024.
Open-air centers came out on top, extending a trend in place since December 2025, with visits rising 3.5% YoY. This marks a return to the top growth position after ceding the lead to indoor malls for much of 2025. Indoor malls followed with a 2.2% increase, while outlet malls lagged behind, posting a modest 0.5% YoY gain in April 2025 – potentially reflecting greater sensitivity to elevated gas prices in recent weeks.
At the same time, the average visit duration declined YoY, with all formats experiencing a shift toward shorter visits (under 30 minutes) and a corresponding drop in longer visits (45+ minutes).
This divergence between rising traffic and shorter dwell times suggests that a growing share of consumers are engaging in more mission-driven trips – visiting with a specific purpose in mind rather than for extended browsing. As a result, malls may be seeing more targeted, efficiency-oriented behavior that could concentrate spend within fewer stores per trip.
Still, this shift does not signal a wholesale move away from malls as destinations: across formats, over 40% of visits continue to last more than 60 minutes, indicating that a significant segment of consumers remains engaged in longer, more experiential visits even as quick trips become more prevalent.
April’s data suggests that malls are evolving to meet a wider range of consumer needs. The combination of rising traffic and varied visit lengths suggests that malls are successfully functioning both as convenient, mission-driven retail hubs and as destinations for longer, experiential outings. This dual role may ultimately prove to be a strength, enabling operators and tenants to capture multiple trip types and occasions. If sustained, these trends position the sector for continued resilience, with opportunities to further optimize tenant mix, merchandising strategies, and on-site experiences to align with increasingly dynamic consumer behavior.
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.
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The home improvement category has faced sustained headwinds in recent years – from elevated mortgage rates to sluggish existing-home sales and a consumer base hesitant to take on major remodeling projects. But after a prolonged stretch of year-over-year (YoY) visit declines, both Home Depot and Lowe’s have returned to growth – and the foot traffic data suggests this shift is more than just a seasonal uptick.
Both home improvement leaders closed Q1 2026 with YoY visit gains – Home Depot up 1.9% and Lowe’s up 2.0% – building on the stabilization seen in Q4 2025. This improvement aligns with their latest financial results: Home Depot reported U.S. comparable sales growth of 0.3%, while Lowe’s posted a stronger 1.3%. And for both chains, the return to positive territory suggests a long-awaited recovery may finally be underway.
Monthly data also suggests that while inclement weather contributed to the segment's strong performance in January, the underlying recovery is genuine. Home improvement benefits from unusual weather events, and January's strong gains for both chains – Home Depot +2.5%, Lowe's +3.9% – were partly fueled by Winter Storm Fern, which impacted communities across more than thirty states. But the momentum carried into February, and while growth moderated in March – and for Home Depot again in April – neither brand slipped into negative territory.
That resilience is an encouraging signal for the category during the critical spring home improvement season, particularly given renewed headwinds like rising gas prices and softening consumer sentiment. Lowe's stronger performance in April 2026, supported by easier comparisons, may also reflect its greater exposure to DIY customers tackling smaller repairs and at-home projects as consumers redirect spending closer to home.
Interest rates remain elevated and the housing market sluggish – but those same forces may now be working in the category's favor, as homeowners staying put begin to tackle a growing backlog of deferred repairs and maintenance. The bigger question is whether that momentum eventually unlocks the large discretionary projects both retailers say consumers are still holding back on – especially amid continued tariff uncertainty and elevated prices at the pump.
For more data-driven retail 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.
There may be more digital entertainment than ever before, but consumers still seek out places to socialize and have fun in the physical world. And in-person entertainment venues – from stadiums to experiential viewing concepts – are attracting unique audiences that span a range of psychographic segments.
A closer look at venues in the Dallas and Los Angeles areas reveals how this diversity plays out across markets, and what it could signal for stakeholders in the business of out-of-home entertainment.
In-person entertainment includes a variety of venues and formats. In the Dallas area, legacy venues AT&T Stadium, American Airlines Center, and Globe Life Field – and eatertainment concepts, movie theaters, and “shared reality” experiences such as Cosm – are just some of the in-person entertainment options.
And in the Dallas region, AI-powered trade area analysis reveals that affluent and suburban families dominate the out-of-home entertainment scene. Across every analyzed venue and entertainment category, either Ultra Wealthy Families or Wealthy Suburban Families ranks as the top audience segment – reflecting the region's family-oriented, suburban fabric.
That said, each venue or category attracts a distinct audience mix. Cosm Dallas and the American Airlines Center over-index on Ultra Wealthy Families and draw a relatively higher share of Young Professionals than other venues. This likely reflects their premium positioning: Cosm as a novelty experience, and the AAC as an upscale urban destination where higher costs may skew attendance toward more affluent consumers.
By contrast, Wealthy Suburban Families lead at Globe Life Field (home to the Texas Rangers) and AT&T Stadium (home to the Dallas Cowboys), both of which also attract meaningful shares of blue-collar suburban audiences.
And there is clear demand for in-person entertainment among Dallas’s up-and-coming and working-class consumers. Blue Collar Suburbs and Young Urban Singles segments tend to favor eatertainment venues and movie theaters – more affordable options for going out.
Greater Los Angeles offers a similarly diverse mix of entertainment anchors: SoFi Stadium, Dodger Stadium, Angel Stadium, and Crypto.com Arena – as well as a Cosm location, eatertainment chains, and movie theaters.
However, audience segmentation for in-person entertainment in the region shows a distinct profile compared to Dallas – shaped by SoCal’s urban density and demographic diversity. Near-Urban Diverse Families represent the largest segment across every analyzed venue and entertainment category, while Wealthy Suburban Families also account for a significant share of visitors across formats – particularly at Angel Stadium, likely due to its suburban Orange County location. The prevalence of these two segments suggests that urban, middle-class family audiences are the backbone of entertainment demand in the region while higher-income, suburban households play a strong supporting role in out-of-home entertainment consumption.
Two other patterns also jump out from the data.
First, Cosm Los Angeles and Crypto.com Arena’s audiences draw more heavily from the Educated Urbanites and Ultra Wealthy Families segments, which could point to a somewhat more premium-leaning audience mix at these destinations.
Second, the Young Urban Singles segment accounts for a relatively consistent audience share across all categories – suggesting broad-based entertainment preferences. With no single entertainment format commanding outsized engagement from this young cohort, operators in the Los Angeles market have an opportunity to further tailor experiences and potentially shape future demand among this audience.
In both Dallas and Los Angeles, the composition of out-of-home entertainment audiences reflects each market’s underlying demographics and urban structure.
And yet, certain consumer segments prefer particular entertainment venues or formats over others, and understanding who shows up is critical. Operators and advertisers that tailor their offerings to the dominant segments – whether through pricing or programming – may be better positioned to capture sustained demand and attain better ROI within their market.
For more 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.
