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Rising travel, lodging, and theme park costs are reshaping how people spend their leisure time. Instead of long-distance or high-ticket trips, consumers are increasingly turning to local outdoor spaces – an option that is lower cost, flexible, and repeatable. What began as a pandemic-era adjustment has solidified into a durable behavioral shift, with meaningful implications for retailers, restaurants, real estate owners, and civic leaders.
Visits to local parks remain well above 2019 levels, signaling that outdoor spaces are no longer a temporary substitute for other leisure options but a primary destination in their own right.
Importantly, people are not just showing up more often – they are staying longer. The share of park visits lasting more than 30 minutes has increased meaningfully compared to pre-pandemic norms, indicating deeper engagement rather than quick, utilitarian stops.
This shift elevates parks from passive amenities to active drivers of surrounding economic activity. Longer visits create more opportunities for nearby food, retail, and service businesses to capture spend before and after park usage.
Visits to outdoor retailers also remain mostly above pre-pandemic levels throughout 2025, even as year-over-year performance versus 2024 fluctuates month to month. Stronger comparisons against 2019 – especially during spring and fall – suggest that outdoor retail demand is supported by a structurally larger base of outdoor participation rather than a short-lived rebound. This resilience reinforces outdoor retail as a downstream beneficiary of sustained, lifestyle-driven shifts toward local recreation.
Park visitation patterns have also shifted later in the day. Evening visits – particularly between 6:00 PM and 10:00 PM – now account for a larger share of total traffic than they did in 2019. This reflects broader changes in work schedules, hybrid work adoption, and how people structure leisure around daily routines.
For businesses and municipalities alike, this timing shift is critical. Demand is increasingly concentrated outside traditional daytime hours, which has implications for operating hours, staffing, safety, and programming decisions
The sustained shift toward local, outdoor leisure has broad implications across retail, dining, real estate, and the public sector.
For retailers, especially those tied to outdoor activities or convenience-driven purchases, increased park visitation and longer dwell times translate into more frequent, trip-based shopping opportunities. Proximity to parks, trails, and outdoor corridors matters more as consumers increasingly combine recreation with same-day retail needs.
Dining operators can benefit from the same dynamics. As park visits stretch later into the day, food demand increasingly overlaps with evening meal and snack occasions. Restaurants positioned near parks or along common access routes are well placed to capture post-activity traffic, particularly if hours and menus align with evening usage.
For commercial real estate owners and developers, park adjacency has become a tangible performance factor rather than a soft placemaking feature. Consistent, repeat visitation to nearby outdoor spaces can help stabilize foot traffic for retail and mixed-use assets, especially as consumers pull back from destination-oriented travel and entertainment.
Civic stakeholders also play a central role. Rising visitation – particularly in the evening – raises the importance of lighting, safety, maintenance, and programming that reflect how residents actually use parks today. Well-supported parks not only improve quality of life but also generate economic spillovers for surrounding businesses.
Organizations that align their locations, operating hours, and investment decisions with this reality are best positioned to capture value as leisure continues to localize.
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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As Winter Storm Fern advanced across the U.S. in late January, consumer behavior followed a predictable pattern: early preparation gave way to a sharp pre-storm rush, followed by widening geographic divergence as conditions worsened. Retail visit data from January 22nd and 23rd highlights how quickly storm-driven demand intensified – and which categories and regions were best positioned to capture it.
Retailers saw a clear escalation in traffic from January 22nd to January 23rd, underscoring how storm proximity compressed shopping activity into a narrow window.
Home Improvement & Furnishings retailers saw the largest visit spikes on both January 22nd and 23rd as consumers focused on preparing their homes ahead of the storm. Visits were already 20.2% above the YTD (January 1st to 23rd) daily average on January 22nd and rose to 41.7% above average the following day – making the category the clear pre-storm leader. The pattern suggests shoppers were prioritizing purchases such as heating supplies, generators, weatherproofing materials, and snow-removal equipment as conditions grew more imminent.
Grocery Stores recorded the second-largest increases, reflecting consumers’ efforts to stock up on food and beverages in anticipation of staying home, with visits up 14.2% on January 22nd and climbing to 28.4% on January 23rd compared to the YTD daily average.
Value-oriented and necessity-driven categories also saw demand intensify. Discount & Dollar Stores experienced a modest 6.2% lift on January 22nd, which surged to 25.5% the following day. Drugstores & Pharmacies saw visits climb from 9.8% to 21.0%, while Superstores rose from 7.5% to 19.9% over the same period.
Pet Stores & Services stood out for their late-breaking surge: after seeing virtually flat traffic on January 22nd (+0.2%), visits jumped to 18.5% above average on January 23rd, suggesting that many consumers delayed pet-related preparedness until just before conditions worsened.
Across all categories, the doubling of visit lifts from one day to the next indicates that while some consumers planned ahead, a significant share delayed their storm preparations until the threat felt immediate.
The storm’s west-to-east progression was also reflected in shifting regional visitation patterns. On January 22nd, the largest visit surges were concentrated in parts of the Midwest, consistent with Winter Storm Fern’s earlier impacts across inland regions. By January 23rd, as the storm intensified and expanded across the South and Eastern Seaboard, retail visits spiked sharply in those areas as consumers rushed to complete last-minute errands ahead of worsening conditions. At the same time, parts of the Midwest saw more muted growth or visit slowdowns, suggesting that storm-related shopping activity there may have peaked earlier.
This data suggests that storm-related shopping remains a fundamentally local behavior, with consumers responding most strongly when severe conditions feel imminent in their immediate area. At the same time, the Midwest slowdown suggests that storm-related demand is finite and front-loaded, with visit activity tapering once households complete their initial preparation trips.
AI-driven location analytics reveals that storm-driven retail demand is not only intense but highly compressed, with visits surging in the brief window just before conditions deteriorate locally and fading quickly once preparation trips are complete. For retailers, capturing weather-driven demand seems to depend less on the size of the storm and more on aligning operations to where – and when – urgency is about to peak.
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.
Tractor Supply’s growing footprint continues to stand out in a retail environment where many chains remain cautious about physical expansion. We took a closer look at Tractor Supply’s market positioning to better understand how the chain’s deliberate expansion strategy sets it up for success in 2026.
Tractor Supply continued to scale its physical footprint in 2025, leveraging the acquisition of former Big Lots sites and reinforcing store growth as a core lever of its “Life Out Here” strategy. The chain’s expansion likely contributed to its steady year-over-year (YoY) visit growth throughout 2025. Meanwhile, positive average visits per location in most months suggests that new stores were capturing incremental demand rather than diluting traffic at existing locations – reinforcing management’s commentary around limited cannibalization.
Tractor Supply intends to open around 100 new stores in 2026 as part of its longer-term roadmap to 3200 stores (the retailer currently has 2,398 locations), setting high expectations for continued foot traffic growth in 2026.
As Tractor Supply expands, its strategy has been focused on rural and western high-growth markets where demand remains underserved. And with a relatively small store format, Tractor Supply has a distinct advantage over big-box chains that often face site-selection challenges in these markets.
Analysis of AI-based potential market data combined with the STI: Market Outlook dataset shows that the unmet demand (demand minus supply) for building materials and supplies within Tractor Supply’s potential market – i.e. the areas from which it drives traffic – far surpasses unmet demand in the wider Home Improvement category’s potential market. This comparison – in just one of the retail categories that Tractor Supply occupies along with its peers – suggests substantial white space for the chain, driven by a footprint that prioritizes underserved markets rather than the more established ones where many industry counterparts compete.
And as Tractor Supply expanded between 2024 and 2025, unmet demand for building materials and supplies in the chain's potential market increased, even as unmet demand across the broader Home Improvement category declined. Together, these trends point to a site selection strategy that places Tractor Supply in high-demand regions where few retailers are positioned to fully meet consumer needs.
What can we learn from Tractor Supply’s strategy and 2025 performance? Sometimes, it pays to be smaller, and unlock demand away from the competitive landscapes where bigger players operate. By pairing an accelerated store-opening strategy with purposeful site selection, Tractor Supply appears well-positioned for sustained traffic growth.
Will Tractor Supply continue to build momentum 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.
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Recent traffic trends to major dining chains show the divergence within the full-service dining space going into 2026. While Brinker International's flagship brand Chili's Grill continued reaping the benefits of its popular food bundles and drinks specials, Maggiano's Little Italy – the company's more upscale concept – struggled to reach 2024 visitation levels in Q4 2025.
For both Dine Brands Global, Inc. and Texas Roadhouse, Inc., traffic changes were mostly due to storefleet reconfigurations. Dine Brands' three banners contracted in 2025, leading to overall visit declines at Applebee's and Fuzzy's (IHOP maintained stable traffic patterns) – but all three concepts outperformed in terms of average visits per venue as the company's rightsizing efforts appeared to be bearing fruit. Meanwhile, Texas Roadhouse, Inc. showed the opposite pattern as its three banners expanded, leading to overall visit growth – but average visits per venue decreased, suggesting that traffic gains were mostly driven by unit expansion.
These patterns reflect a more selective consumer environment heading into 2026, where growth is increasingly shaped by brand positioning, value perception, and disciplined fleet strategies rather than broad-based demand recovery. A closer look at monthly visit trends across major banners further illustrates these dynamics.
After leading the full-service restaurant category in 2024, Chili’s once again emerged as a standout performer in 2025, delivering consistent monthly visit gains despite a softer consumer environment. The brand has successfully established and maintained a clear value proposition, helping keep Chili’s top of mind for consumers seeking an affordable sit-down dining option
At the same time, recent monthly traffic trends suggest that sustaining this momentum into 2026 may require continued innovation, whether through refreshed bundled offerings, targeted promotions, or menu updates that reinforce value without eroding margins. But even if traffic growth moderates in the year ahead, maintaining the elevated visitation levels achieved over the past two years would still leave Chili’s in a notably strong competitive position within the full-service dining landscape.
Applebee’s and IHOP saw YoY declines in overall visits, but same-store traffic generally held up better – indicating that fleet rationalization helped stabilize per-restaurant demand. These trends point to the importance of right-sizing footprints and prioritizing unit-level productivity in a constrained consumer environment.
Visits to Texas Roadhouse in 2025 were up 2.1% compared to 2024, in part thanks to the chain's ongoing expansion. Same-store performance also remained positive for much of the year, suggesting that the larger store fleet can be supported by existing demand.
And even as traffic trends moderated toward the end of the year, the chain’s overall 2025 visit growth suggests an underlying demand that is strong enough to support Texas Roadhouse’s expanding footprint despite the most recent slowdown.
Overall, traffic patterns at these three major FSR players point to a more selective and competitive full-service dining environment heading into 2026, where broad-based demand recovery remains elusive. Brands that clearly communicate value or actively optimize their store fleets appear better positioned to defend store-level demand, while expansion-led growth models face increasing pressure to deliver stronger unit-level productivity. As consumer discretion remains constrained, execution and positioning – not scale alone – will likely define traffic winners in the year ahead.
Fore 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.
Columbus, Ohio is among the Midwest’s fastest-growing metro areas. Like downtown business districts across the country, its urban core is seeing a return to the office. What do inbound commuter traffic patterns reveal about this shift – and how can local stakeholders, from retailers to commercial real estate investors, capitalize on the opportunities created by this growing influx?
Growing metro areas depend on vibrant downtown anchors for employment and economic activity. In Columbus, OH, the downtown area has long served as a key destination for commuters as the city’s population and labor force have grown. Favorable business incentives, and the presence of major employers such as Nationwide Insurance, Huntington Bancshares, and American Electric Power contribute to Downtown Columbus’s rising commuter population.
Analysis of the regions with the highest shares of commuters to Downtown Columbus shows that both nearby urban neighborhoods and surrounding suburbs contribute significantly to the city’s downtown workforce.
The map below reveals that over the past 12 months, the densely-populated 43201 zip code drove one of the highest shares of downtown commuters. This urban corridor includes the rejuvenated Weinland Park neighborhood and parts of the University District and trendy Short North. Many of these commuters are likely students or recent graduates entering the workforce – drawn downtown by internships, early-career roles, and professional opportunities.
At the same time, the suburbs also play a defining role in Downtown Columbus’s workforce composition. The 43123 zip code – centered around Grove City – and 43026 – anchored by Hilliard – also had relatively large shares of Downtown Columbus commuters. This reflects a broader trend of workers balancing suburban lifestyles with city-based employment opportunities.
While Downtown Columbus’s workforce reflects a mix of suburban and urban commuters, the composition within its commercial corridors is even more nuanced – shaped by distinct demographic and psychographic characteristics.
Among the analyzed corridors, the Arena District stood out for having the highest median household income (HHI) and the largest share of the “Young Professionals” segment among commuters in 2025, suggesting a workforce anchored in early- to mid-career white-collar roles. This profile aligns with the district’s mix of corporate offices, and sports and entertainment–adjacent employers that may attract younger, upwardly mobile workers.
The Discovery District followed closely in terms of median income, but its psychographic mix skewed differently. The area had one of the highest shares of the “Ultra Wealthy Families” segment, alongside the largest concentration of the “City Hopefuls” segment, among the downtown corridors analyzed. Anchored by institutions such as Columbus State Community College, major healthcare employers, research organizations, and cultural assets like the Columbus Metropolitan Library and the Columbus Museum of Art, the district appears to draw a diverse, but upper-income mix of commuters tied to public service, education, and nonprofit work.
The Uptown District stood apart with a median commuter HHI below that of the Columbus, OH DMA, and elevated shares of “City Hopefuls” and “Young Professionals” compared to the region. This profile likely reflects the district’s concentration of government offices and white-collar employers in law and finance, alongside the service-sector workforce that supports the area’s high daily activity – together pulling a wide spectrum of income levels into the corridor each day.
With the right strategy, the diversity among commuters – who are also consumers of restaurants, retailers, and other service-oriented industries – creates opportunities for businesses to engage their target audiences where they spend meaningful daytime hours.
A downtown reflects not only a metro’s economic strength but also the fabric of its cultures and communities. In Columbus, the downtown serves as both a hub of commercial activity and a crossroads for commuters from diverse backgrounds. This diversity presents businesses with opportunities to carve out a target audience and civic leaders with a responsibility to ensure that Downtown Columbus continues to serve the needs of all who power it.
For more regional analyses, 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.
Between July and October 2025, Chipotle’s year-over-year (YoY) visit growth was driven almost entirely by expansion. Overall chain-wide visits rose each month, while same-store visits remained negative, generally hovering between -1% and -2%.
This pattern aligns closely with Chipotle’s recent earnings results. In Q2 2025, the company reported a 4% decline in comparable restaurant sales driven by a nearly 5% drop in transactions, even as average check size increased modestly. Q3 showed a slight improvement in same-store sales, but that gain was driven by higher checks rather than traffic, prompting Chipotle to trim its same-store sales outlook to a low single-digit decline. Throughout this period, digital sales remained a significant share of revenue, and new restaurant openings continued to support overall growth.
More recent visit data, however, suggests the dynamic may be shifting. In November, same-store visits turned slightly positive, contributing to a stronger increase in total chain-wide traffic, and December data shows that improvement continued to build. While expansion remains a key driver, this emerging pattern suggests existing locations may be starting to regain momentum.
Some of Chipotle’s late-year momentum appears to be driven by a growing share of short visits (defined as those lasting under ten minutes), which accounted for 42.2% of total chain traffic in 2025 – up from 41.2% in 2024. These quicker trips have consistently outperformed longer visits on a YoY basis, making their increasing share an important contributor to overall visit growth.
Importantly, the rise in short visits does not appear to be coming at the expense of longer ones. From July through October 2025, average per-location visits lasting under ten minutes remained essentially flat even as longer visits continued to lag; by December, however, both short and longer visits were growing on a per-location basis. This pattern indicates that the shift toward convenience is not cannibalizing traditional visit occasions, but may instead be lifting overall engagement with the brand.
Chipotle still benefits from expansion, but the more important story may be what’s happening inside existing restaurants: Same-store visits are stabilizing while quick trips gain share. And with the December launch of an all-new high-protein menu, Chipotle is signaling that it isn’t standing still – it’s continuing to refine its offerings to stay relevant as customer expectations and visit behaviors change.
For more data-driven dining 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.
This report leverages location intelligence data to analyze the auto dealership market in the United States. By looking at visit trends to branded showrooms, used car lots, and mixed inventory dealerships – and analyzing the types of visitors that visit each category – this white paper sheds light on the state of car dealership space in 2023.
Prior to the pandemic and throughout most of 2020, visits to both car brand and used-only dealerships followed relatively similar trends. But the two categories began to diverge in early 2021.
Visits to car brand dealerships briefly returned to pre-pandemic levels in mid-2021, but traffic fell consistently in the second half of the year as supply-chain issues drove consistent price increases. So despite the brief mid-year bump, 2021 ended with overall new car sales – as well as overall foot traffic to car brand dealerships – below 2019 levels. Visits continued falling in 2022 as low inventory and high prices hampered growth.
Meanwhile, although the price for used cars rose even more (the average price for a new and used car was up 12.1% and 27.1% YoY, respectively, in September 2021), used cars still remained, on average, more affordable than new ones. So with rising demand for alternatives to public transportation – and with new cars now beyond the reach of many consumers – the used car market took off and visits to used car dealerships skyrocketed for much of 2021 and into 2022. But in the second half of last year, as gas prices remained elevated – tacking an additional cost onto operating a vehicle – visits to used car dealerships began falling dramatically.
Now, the price of both used and new cars has finally begun falling slightly. Foot traffic data indicates that the price drops appear to be impacting the two markets differently. So far this year, sales and visits to dealerships of pre-owned vehicles have slowed, while new car sales grew – perhaps due to the more significant pent-up demand in the new car market. The ongoing inflation, which has had a stronger impact on lower-income households, may also be somewhat inhibiting used-car dealership visit growth. At the same time, foot traffic to used car dealerships did remain close to or slightly above 2019 levels for most of 2023, while visits to branded dealerships were significantly lower year-over-four-years.
The situation remains dynamic – with some reports of prices creeping back up – so the auto dealership landscape may well continue to shift going into 2024.
With car prices soaring, the demand for pre-owned vehicles has grown substantially. Analyzing the trade area composition of leading dealerships that sell used cars reveals the wide spectrum of consumers in this market.
Dealerships carrying a mixed inventory of both new and used vehicles seem to attract relatively high-income consumers. Using the STI: Popstats 2022 data set to analyze the trade areas of Penske Automotive, AutoNation, and Lithia Auto Stores – which all sell used and new cars – reveals that the HHI in the three dealerships’ trade areas is higher than the nationwide median. Differences did emerge within the trade areas of the mixed inventory car dealerships, but the range was relatively narrow – between $77.5K to $84.5K trade area median HHI.
Meanwhile, the dealerships selling exclusively used cars – DriveTime, Carvana, and CarMax – exhibited a much wider range of trade area median HHIs. CarMax, the largest used-only car dealership in the United States, had a yearly median HHI of $75.9K in its trade area – just slightly below the median HHI for mixed inventory dealerships Lithia Auto Stores and AutoNation and above the nationwide median of $69.5K. Carvana, a used car dealership that operates according to a Buy Online, Pick Up in Store (BOPIS) model, served an audience with a median HHI of $69.1K – more or less in-line with the nationwide median. And DriveTime’s trade areas have a median HHI of $57.6K – significantly below the nationwide median.
The variance in HHI among the audiences of the different used-only car dealerships may reflect the wide variety of offerings within the used-car market – from virtually new luxury vehicles to basic sedans with 150k+ miles on the odometer.
Visits to car brands nationwide between January and September 2023 dipped 0.9% YoY, although several outliers reveal the potential for success in the space even during times of economic headwinds.
Visits to Tesla’s dealerships have skyrocketed recently, perhaps thanks to the company’s frequent price cuts over the past year – between September 2022 and 2023, the average price for a new Tesla fell by 24.7%. And with the company’s network of Superchargers gearing up to serve non-Tesla Electric Vehicles (EVs), Tesla is finding room for growth beyond its already successful core EV manufacturing business and positioning itself for a strong 2024.
Japan-based Mazda used the pandemic as an opportunity to strengthen its standing among U.S. consumers, and the company is now reaping the fruits of its labor as visits rise YoY. Porsche, the winner of U.S New & World Report Best Luxury Car Brand for 2023, also outperformed the wider car dealership sector. Kia – owned in part by Hyundai – and Hyundai both saw their foot traffic increase YoY as well, thanks in part to the popularity of their SUV models.
Analyzing dealerships on a national level can help car manufacturers make macro-level decisions on marketing, product design, and brick-and-mortar fleet configurations. But diving deeper into the unique characteristics of each dealership’s trade area on a state level reveals differences that can serve brands looking to optimize their offerings for their local audience.
For example, analyzing the share of households with children in the trade areas of four car brand dealership chains in four different states reveals significant variation across the regional markets.
Nationwide, Tesla served a larger share of households with children than Kia, Ford, or Land Rover. But focusing on California shows that in the Golden State, Kia’s trade area population included the largest share of this segment than the other three brands, while Land Rover led this segment in Illinois. Meanwhile, Ford served the smallest share of households with children on a nationwide basis – but although the trend held in Illinois and Pennsylvania, California Ford dealerships served more households with children than either Tesla or Land Rover.
Leveraging location intelligence to analyze car dealerships adds a layer of consumer insights to industry provided sales numbers. Visit patterns and audience demographics reveal how foot traffic to used-car lots, mixed inventory dealerships, and manufacturers’ showrooms change over time and who visits these businesses on a national or regional level. These insights allow auto industry stakeholders to assess current demand, predict future trends, and keep a finger on the pulse of car-purchasing habits in the United States.
