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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.
While a state’s share of brick-and-mortar retail visits generally tracks with its share of the U.S. population, the chart below shows that the relationship is not perfectly proportional. Some states, such as Texas and Florida, generate a larger share of retail traffic than their population size alone would suggest, while others, such as California and New York, account for a smaller portion of visits relative to their population base.
Mapping each state’s share of retail visits to its share of the population reveals a clear geographic pattern: Across much of the Sun Belt, retail visits tend to over-index relative to population, while under-indexing is more common along the West Coast and in parts of the Northeast.
Several structural dynamics may help explain this regional divide. Migration into Sun Belt markets has been driven in part by lower costs of living, and once there, households may have more discretionary income relative to high-cost coastal markets – supporting more frequent in-person shopping trips. At the same time, consumer behavior differs across regions: in higher-cost coastal and Northeastern markets, shoppers may be more likely to consolidate trips or shift spending online, contributing to fewer retail visits per capita.
For retailers and CRE professionals, these patterns suggest that a data-driven expansion strategy should account not just for population growth, but for how and where consumers choose to shop across regions.
Sun Belt markets may offer outsized opportunities for physical retail expansion, as higher-than-expected foot traffic signals strong in-person engagement and potential demand for additional brick-and-mortar supply. Conversely, in coastal and Northeastern markets, where visits under-index and e-commerce adoption is higher, success may depend more on experiential retail, premium formats, or omnichannel integration rather than footprint growth alone.
For more data-driven retail and CRE insights, visit placer.ai/anchor.
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.
