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October once marked the calm before the holiday storm, but in recent years, it has become an important launch point for seasonal promotions. And the stakes seem even higher this year as retailers aim to capture demand from price-conscious consumers; battered by inflation and wary of potential tariff-driven price hikes and product shortages. We analyzed visit patterns across several major chains that launched early-October promotions – along with activity at e-commerce distribution centers – to understand how these events shaped the opening act of the holiday retail season.
The first full week of October has become a retail battleground, as major players – Amazon, Best Buy, Target, Walmart, and Kohl’s – all rolled out overlapping promotions designed to capture early holiday demand and pull spending forward before the traditional Black Friday surge.
As the graph below shows, in-store traffic to Walmart and Target during their October 2025 sales events – which ran on the equivalent dates as in 2024 – trailed last year’s levels. Even Kohl’s, which extended its event from three days last year to four this year, experienced a modest year-over-year (YoY) decline in visits compared to the corresponding dates in 2024 – though the chain, which closed several locations over the past year, saw average visits per location hold steady at -0.8% YoY. This suggests that some shoppers may simply be cutting back, or expecting deeper discounts later in the season – particularly as tighter household budgets leave less room for discretionary spending this year.
However, Best Buy – which launched its “Techtober” event to compete directly with other major sales this October – saw visits rise 2.2% compared to the same days in 2024, when no equivalent promotion was held. This indicates that consumers were drawn both by the novelty of Best Buy’s new event and by the strong value proposition of its tech-focused deals.
Analysis of both in-store visits and activity at e-commerce distribution centers – including those operated by Amazon, Walmart, and Target – before and during the early-October promotional period offers a more nuanced view of how this window fits into the broader holiday retail season.
The graph below shows that daily foot traffic at e-commerce distribution centers – a proxy for employee and partner activity related to inventory buildup and order fulfillment – rose above average in late September 2025, ahead of the anticipated October promotions. Meanwhile, consumers appeared to be holding back on in-store visits, waiting for expected October discounts.
Then, e-commerce distribution center activity surged during the promotional period itself (October 5–12) as orders were placed and prepared for shipment, underscoring the critical online component driving the success of October sales events for retailers.
At the same time, in-store traffic at Walmart, Target, Kohl’s, and Best Buy also increased compared to late September, reaffirming consumers’ interest in potentially cost-saving hybrid shopping options and setting the tone for the rest of the holiday season.
Notably, Best Buy’s strongest surge in visits occurred during its overlap with Amazon’s Prime Big Deal Days (October 7-8), suggesting that shoppers may have been cherry-picking deals across platforms – a sign that retailers can benefit from the heightened product awareness generated by concurrent sales events.
And Kohl’s largest visit surge of the promotional period occurred just after its main sales event, on October 10th. This post-sale visit surge appears to have been fueled by the chain’s Kohl’s Cash promotion, which allowed customers to earn $10 for every $50 spent during the sale and redeem it for a limited period beginning October 10th. This strategy effectively extended the impact of the sale beyond its official end date, encouraging incremental spending and driving traffic even after the core discount window had closed.
The early-October promotional window has evolved into a meaningful, multi-channel retail moment. As shoppers search for deeper discounts, early events continue to play a strategic role in-store and online.
Will these retailers turn early-season promotions into lasting momentum throughout the holidays? 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.
As we enter the final quarter of 2025, the retail landscape has been defined by an eventful year in consumer behavior – and by more uncertainty heading into the holidays than in recent memory. The year has been marked by volatile retail traffic, reflecting a consumer base grappling with macroeconomic uncertainty, the impact of tariffs, and a growing insistence on deep discounts.
This choppiness is clearly illustrated in the year-over-year (YoY) weekly visit trends for our Placer 100 Retail Index, as shown below. But despite the turbulence, our visitation data reveals some key trends that are already painting a clear picture of what to expect this holiday season.
One notable pattern is the growing visibility of a “two-tier economy” – a theme we also explored in our recent look at the restaurant category. Affluent consumers appear confident, largely driven by the "wealth effect." With strong financial markets, a healthy housing market, and the positive impact of recent interest rate cuts, this demographic has seen its net worth grow and continues to spend on discretionary goods and services.
This confidence is clearly visible in our retail visitation data, which shows strong performance in categories catering to higher-income shoppers. Luxury department stores, specialty and fresh-format grocers, and fine-dining restaurants are all experiencing steady traffic, indicating this key consumer group is well-positioned to spend this holiday season.
By contrast, lower- to middle-income households face mounting cost-of-living pressures that have clearly impacted their discretionary spending. As shown in the first graph above, our data shows a notable softening across the broader retail and restaurant landscape in late August, September, and early October as these consumers grapple with economic uncertainty and the initial effects of tariff-related price increases. This cautious stance has prompted a distinct shift in behavior; consumers are not just pulling back, but actively trading down to more affordable retail channels. We've seen this manifest in increased traffic to value-oriented grocers, warehouse clubs, dollar stores, and off-price apparel chains as households look to stretch their budgets.
Softening visitation trends among lower- and middle-income consumers help explain another key trend – the early start to this year’s holiday promotional season, which began as early as September, well before Amazon’s “Big Deal Days” ignited the broader deal-hunting frenzy. Our data indicates this consumer segment is being highly strategic, leading to foot traffic that spikes during major sales events, but remains subdued during non-promotional periods. Consequently, retailers are caught in a promotional arms race, pushing sales earlier than ever in a fierce attempt to attract these value-seeking shoppers and, more importantly, lock in a share of their limited holiday budgets before they are spent elsewhere.
This dynamic creates a precarious balancing act for retailers. A potential slowdown in manufacturing and port activity could lead to inventory challenges, creating a perfect storm when combined with a consumer base conditioned to seek out deep discounts. This environment suggests that precise inventory management and flawless promotional timing won't just be important – they will be the critical factors separating the winners from the losers this holiday season.
Still, promotions don’t just have to be about price cuts. Pop-culture tie-ins and strategic product launches have also proven effective at driving retail traffic this year – and could be particularly impactful during the holiday season.
This holiday season, retailers will be increasingly dependent on affluent consumers, as lower- and middle-income shoppers are forced to balance "needs versus wants." This doesn't mean this group has stopped spending, but that their priorities have shifted. And to succeed this holiday season, retailers will need to meet both sides of the consumer divide – delivering value where it matters most and using strategic, well-timed promotions to drive engagement across income levels.
For more data-driven retail 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.
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In Q3 2025, consumers continued to pull back on food-away-from-home spending amid rising prices and shifting behaviors, creating persistent pressure across the dining landscape. McDonald’s (MCD) and Chipotle (CMG) each navigated these challenges with mixed results, underscoring the difficulty of sustaining growth even for well-established brands. Both chains showed relative resilience compared to the broader market but faced mounting headwinds that tempered performance and tested their strategic approaches.
The quick-service category is under pressure from multiple fronts: persistent inflation, shifting consumer behavior, value-menu fatigue, and even the growing adoption of GLP-1 weight-loss drugs, which are dampening demand for food consumed away from home. And McDonald’s has not been immune from these challenges.
The company’s successful Minecraft Meal collaboration helped lift traffic in April, contributing to a 2.5% increase in U.S. comparable sales in Q2 – a welcome rebound from Q1’s 3.6% comp sales decline. But the momentum has been difficult to sustain. Foot traffic lagged 2024 levels throughout the summer – albeit lapping last year’s Summer of Value promotion – and remained sluggish even after the September debut of McDonald’s new Extra Value Meal. In Q3, visits were down 3.5% year over year (YoY), with same-store traffic falling 4.0%, underscoring how difficult it is to reignite growth in 2025 even with special promotions – especially for a chain reliant on a customer base that is less affluent than the national average.
Like McDonald’s, Chipotle has leaned on special promotions, such as its recent “Wear a College Football Jersey” BOGO on September 15, 2025, to help navigate this year’s headwinds. But its primary strategy has been expansion. Since the start of 2024, Chipotle has opened hundreds of new locations, most featuring a Chipotlane drive-thru pickup lane.
And this aggressive growth has helped sustain Chipotle’s momentum. Chain-wide visits have remained positive YoY in most months of 2025 – likely supported by Chipotle’s more affluent customer base. And in Q3, overall visits rose 0.5% YoY ,keeping pace with the broader fast-casual segment, which saw visits grow by 0.7%.
At the same time, same-store visits have trended slightly negative YoY, echoing Q2’s 4.0% decline in comparable sales. This suggests that while new unit growth is cushioning the slowdown, maintaining traffic at established locations remains a challenge. Still, the declines have been relatively modest, highlighting Chipotle’s underlying resilience – especially given the comparison to a particularly strong 2024.
External pressures continue to weigh on the dining sector, and McDonald’s and Chipotle are no exception. Being able to remain nimble and embrace challenges will remain crucial for both chains as Q4 gets underway.
For the most up-to-date dining data, check out Placer.ai’s free tools.
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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Weekly visits to Placer’s Industrial Manufacturing Index remained below 2024 levels throughout September and into early October. Although trends began to stabilize during the week of September 22nd, activity continued to lag behind last year’s benchmarks – signaling a sustained year-over-year (YoY) slowdown.
These findings align broadly with the ISM Manufacturing PMI, which edged up to 49.1% in September from 48.7% in August – signaling contraction, but at a potentially moderating pace. (Any value below 50 indicates a decline.) Still, sentiment indicators remain mixed, with the S&P Global U.S. Manufacturing PMI easing from 53.0 in August to 52.0 in September – reflecting slower growth but still remaining in expansionary territory.
As shown in the chart above, the slowdown was particularly acute in the auto sector, where U.S. sales forecasts have been revised downward and production figures indicate declining output. The sharp divergence from the overall index beginning the week of September 15th likely also reflects industry-wide disruption following last month’s devastating fire at the Novelis plant in New York, which reverberated throughout the industry.
Beyond short-term disruptions like the Novelis fire and ongoing tariff uncertainty, structural forces tied to AI and automation may also be contributing to the industrial deceleration. Many plants are adopting AI-enabled predictive maintenance, robotics, and remote monitoring, which reduce the need for certain categories of employees. And in autos especially, the shift to EV production and AI-driven retooling may already be visible in lower employee presence.
For more data-driven manufacturing 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.
August’s drop in office foot traffic left many wondering – had the return-to-office movement finally hit a wall, or was it just summer taking its usual toll?
We analyzed the latest location analytics to find out.
In September 2025, a wave of new RTO mandates took effect nationwide, with companies from Intel to Toyota requiring employees to spend at least four days per week in the office. And following August’s sharp retreat, September delivered a decisive rebound: Office visits were just 26.3% below 2019 levels – a clear improvement from August and essentially tied with June’s performance.
This suggests that August’s dip was seasonal rather than structural – a reflection of flexible post-pandemic work habits during vacation-heavy periods. As fall routines took hold, RTO momentum strengthened once again, underscoring the nonlinear yet sustained nature of office recovery progress.
To be sure, some of September’s upswing can be chalked up to calendar math – the month had 21 working days, compared to 20 in both September 2024 and 2019. But that extra day alone doesn’t explain the full rebound.
Even when adjusting for working days, September 2025 ranked as the third busiest in-office month since COVID, just behind June and July 2025.
Miami and New York City – two markets where in-person work has firmly reestablished itself as the norm – continued to lead the office recovery in September. In Miami, ongoing corporate migration is reinforcing an “office-first” culture, while in New York, a growing wave of finance-sector mandates is accelerating the push back to the office.
And several other markets also saw significant improvement. Dallas and Atlanta outperformed the nationwide average with office visit gaps just 15.4% and 22.9% below September 2019 levels, respectively. Meanwhile, San Francisco – though still trailing other major markets – closed its post-pandemic gap to 40.2%.
In addition, San Francisco recorded the largest year-over-year gain in office visits this September, outpacing national trends and surpassing more recovered markets.
That combination – still lagging but accelerating rapidly – mirrors what’s happening in the city’s leasing market, where AI-driven demand is fueling fresh activity and major employers are renewing their commitments to the Bay Area. Salesforce’s new multi-year investment in San Francisco further underscores confidence in the city’s long-term role as an innovation hub. And in late August, the city’s municipal workers also returned to the office four days a week, further helping set the tone for a city in the midst of a comeback.
With fall routines reestablished and corporate mandates expanding, the office recovery appears to be regaining momentum.
Will this renewed surge carry through the winter – or will the season’s holidays bring another pause?
Follow Placer.ai’s data-driven RTO analyses to find out.
**NOTE: Data in the office index has changed due to a regular process of enhancing the list of buildings. This includes the addition of nearly 300 new entities across the index and the removal of buildings that no longer met the necessary standard - either due to renovation or repurposing. In total, the removed assets amounted to less than 5% of the overall count, and the overall trendlines remained the same.
Following a brief lift in spring – when mall visits nationwide rose year-over-year (YoY) across all formats – the Placer.ai Mall Index showed momentum fading through the summer and softening further into fall.
Indoor malls registered slight year-over-year (YoY) visit upticks in July and August, but saw visits drop 1.9% YoY in September. Meanwhile, open-air centers and outlet malls, which maintained minor visit gaps in the summer, saw these widen to 1.7% and 6.8%, respectively, in September. Some of this decline can be attributed to a calendar shift: September 2025 had one fewer Sunday than the same month in 2024, a change likely to hit outlet malls the hardest. (So far this year, 18.2% of outlet mall visits have occurred on Sundays, compared to just 16.0% for indoor malls and 15.4% for open-air centers). But the September drop also signals that malls’ summer slowdown isn’t over.
Still, zooming out to quarterly visitation patterns shows that YoY changes in foot traffic have remained relatively modest across mall types since the start of 2025. In Q3 2025, visits to indoor malls were down just 0.1% compared to 2024, while visits to open-air shopping centers and outlet malls dipped just 1.1% and 2.8%, respectively. Given the macroeconomic headwinds that have challenged retail this year – including persistent inflation, tariffs, and higher living costs – these are mild declines.
And with the all-important holiday season approaching, retailers have an opportunity to shift the narrative. Strategic promotions, in-store experiences, and omnichannel integration could help convert cautious consumer sentiment into stronger end-of-year traffic.
Even so, despite relative stability in the sector, outlet malls have underperformed other mall types for YoY visits since the start of the year. The format’s steeper YoY declines likely reflect its stronger appeal to value-focused consumers – shoppers who are increasingly turning to large discounters and online bargain platforms.
Analyzing the three mall types’ trade areas with demographics from STI: PopStats shows that outlet malls attract a higher share of lower- to middle-income consumers than other mall formats. Over the past 12 months, 43.8% of households within outlet malls’ captured markets earned less than $75K annually, compared to 40.8% for indoor malls and 37.8% for open-air shopping centers. These shoppers are more likely to be watching their budgets (including for transportation) and choosing more convenient off-price alternatives such as T.J. Maxx, Ross Dress for Less, Burlington, Marshalls, or HomeGoods – all of which saw consistently steady YoY visits throughout the summer and early fall, as shown in the chart below.
Outlet malls also tend to offer fewer of the experiential elements – dining, entertainment, and events – that have helped other mall types regain momentum, leaving them struggling to differentiate and sustain consistent foot traffic. At the same time, shoppers have become more selective, turning to malls for quick, mission-driven visits rather than leisurely outings, a shift that is also reflected in shorter visit durations.
Although September capped off a sluggish summer, the broader picture offers reason for cautious optimism. Year-to-date performance has remained relatively stable, suggesting that underlying consumer demand remains intact, even if somewhat restrained.
If retailers and mall operators can re-engage shoppers through compelling promotions, festive in-person activations, and other special draws, the upcoming holiday season could still outperform expectations.
For more data-driven shopping center insights visit Placer.ai’s free industry trends tool.
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.
