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