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Dining closed out Q1 2026 on uneven ground. While February offered renewed momentum across segments, macroeconomic headwinds continue to influence dining behavior – putting some categories on more favorable growth trajectories than others. We dive into the data below.
Quarterly dining data underscores a clear standout. Fast casual posted a 3.1% year-over-year (YoY) increase in Q1 2026 visits – outperforming other dining formats and signaling strong demand for the segment.
The trend likely reflects the current economic climate. Fast casual’s perception of quality, at a price point still below full-service dining, appears to be resonating as consumers weigh discretionary spending.
By contrast, traffic for the QSR segment remained essentially on par with last year in Q1 2026 – a sign that LTOs and value offerings are helping maintain traffic, even as the segment faces pressure from lower-income pullback.
Lastly, full-service restaurants showed the weakest performance, with visits declining 1.4% YoY in Q1 2026 – potentially reflecting softer demand as consumers scale back on higher-cost dining occasions.
A broader view of monthly visit patterns provides additional context to these trends.
The graph below shows that between April and October 2025, QSR traffic was essentially flat or below the previous year’s levels, likely a reflection of consumer sentiment regarding inflation and a degraded value perception in fast food.
But during the same window, full-service restaurants mustered several YoY visit lifts, suggesting that higher-income consumers continued to support sit-down dining – even as more price-sensitive audiences reeled from inflation.
However, the landscape began to shift toward the end of 2025. QSR trends improved, reflecting refreshed value strategies and LTOs designed to re-engage cost-conscious diners.
At the same time, full-service performance weakened. After a sharp dip in December 2025, the segment saw only a partial recovery before declining again in March 2026 – likely influenced by one fewer Saturday compared to March 2025. But overall, this pattern suggests that sustained economic pressure may be prompting even higher-income consumers to moderate discretionary spending in recent months.
Fast casual, meanwhile, has maintained an upward growth trajectory throughout the last twelve months, reinforcing its role as a middle-ground that can succeed in dynamic economic conditions.
Examining visit patterns by day of week reveals another layer of evolving consumer dining behavior amid ongoing economic uncertainty.
Fast casual’s Q1 2026 strength was driven primarily by weekday traffic, which rose 4.7% YoY, alongside a more modest 1.3% increase on weekends. This imbalance suggests that fast casual’s momentum is tied to workweek routines – lunch breaks, quick dinners, and on-the-go meals – where demand for convenience and perceived quality intersect. In the current macroeconomic environment, these habitual visits appear more resilient than discretionary weekend outings.
QSR’s visits followed a more muted version of this pattern. Weekday visits rose 0.6%, while weekend traffic dipped slightly (-0.4%), indicating that mid-week promotions may be sustaining convenience-driven demand, but basic value may be less effective at driving weekend traffic.
Full service visits, meanwhile, declined across both weekparts, with a steeper drop on weekends (-1.9%) than weekdays (-0.6%). Weekends – when busy schedules free-up for socializing and celebrations – are a cornerstone for sit-down dining, and this gap may point to the increased vulnerability of the full-service segment as consumers reassess discretionary spend.
The data points to a dining environment increasingly defined by value – with nuance in how that value is delivered.
QSR’s steady performance underscores the importance of affordability, particularly for budget-conscious consumers, while fast casual’s growth suggests that value is increasingly defined by price, quality, and convenience that justify spend.
On the other hand, full-service restaurants, and their elevated experience, appear more exposed to value-conscious decision-making. If economic pressures persist, more discretionary, sit-down dining occasions may come under greater scrutiny from consumers.
For more 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.
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After a weather-disrupted start to the year, March delivered a clear signal that the office recovery is once again moving forward. The latest data points to a seasonal rebound alongside tightening workplace policies translating into sustained return-to-office (RTO) gains.
March 2026 marked the busiest March for office visits since the onset of COVID, with traffic just 26.5% below 2019 levels.
Part of this strength was calendar-driven, as the month included 22 working days compared to 21 in both 2019 and 2025. But even after adjusting for this difference, the underlying trend remained firmly positive. Average visits per working day were 29.8% below 2019 levels and 6.4% higher than March 2025, pointing to real and continuing momentum in the market.
On a regional basis, substantive year-over-year (YoY) gains were seen across every major market but Washington, D.C., where adjusting for working days revealed a 3.4% YoY visit gap – possibly influenced by a mid-month severe storm event that may have kept some workers home in a region relatively unaccustomed to such disruptions.
Miami and New York remained at the top of the recovery curve, with office visits exceeding 90% of pre-COVID baselines.
But the more interesting story is unfolding on the West Coast, where some of the nation’s biggest recovery laggards are making steady progress. Los Angeles recorded the strongest YoY growth of any analyzed market, supported in part by the comparison to early 2025, when the city was still reeling from January’s wildfires. San Francisco, where an AI-driven recovery remains in full swing, also continued to build momentum, with visits up 15.4% YoY. The city is steadily climbing the post-pandemic recovery rankings – after avoiding the bottom spot since September 2025, it edged up to third from last for the second month in a row.
As hybrid policies continue to tighten and companies like Stellantis join the growing list of employers requiring five-day-a-week attendance, workplace behavior is shifting slowly but surely toward more in-person work. And While office attendance is unlikely to return to pre-COVID norms, additional mandates set to take effect later this year at organizations ranging from Home Depot to the California state government point to continued gains in office utilization in the months ahead.
For more data-driven RTO 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.
While artificial intelligence was the undeniable protagonist of Shoptalk Spring 2026, the discussions illuminated a landscape far more nuanced than simple automation. Retailers are currently navigating a perfect storm of behavioral shifts, ranging from the physiological impact of GLP-1 medications to the cultural resurgence of the mall driven by Gen Alpha. In response, the industry is moving away from rigid demand planning toward a model defined by extreme operational agility, where the lines between digital agents and physical storefronts are increasingly blurred – an evolution reflected in the four key takeaways from this year’s event.
The most significant evolution in the digital space is the transition from traditional e-commerce to Agentic Commerce, or "A-Commerce" (hat tip Shoptalk’s Joe Laszlo). As AI agents begin to autonomously manage discovery, price comparison, and purchasing for consumers, the retail industry must pivot to serve these non-human decision-makers. This shift has the potential to disrupt the long-standing trend of retail concentration. By lowering the cost of customer acquisition and brand formation, AI is effectively leveling the playing field, allowing niche brands to challenge established giants and potentially reversing a decade of market consolidation.
Consumer behavior is currently evolving faster than at any point in recent history. The widespread adoption of GLP-1 medications has created a "lifestyle domino effect" that stretches far beyond the pharmacy. Data shows these medications are not only shifting primary grocery destinations but are also triggering a chain reaction in discretionary spending. A significant weight loss often prompts a total wardrobe refresh, which in turn leads to increased spending on housewares as consumers feel a renewed desire to host social gatherings and showcase their updated personal aesthetic.
Simultaneously, Gen Alpha is coming of age and bringing a surprising nostalgia for the physical "mall hangout" culture. Brands are responding by leaning heavily into "recommerce" and resale markets to build long-term community engagement. In this environment, lifetime value is no longer just about the initial transaction but about fostering a continuous cycle of brand interaction through niche marketplaces and circular economies.
The physical store is not dying; it is being re-engineered to function like a high-end service environment. The industry is moving toward a "hotel check-in" model where computer vision and loyalty integrations allow retailers to identify customers the moment they cross the threshold. This level of tracking is part of a new value exchange: consumers grant access to their data in return for hyper-personalized in-store media and a frictionless shopping experience. This evolution notably aims to eliminate "security friction," such as locked display cabinets, by replacing them with seamless, background-monitoring technologies.
Behind these front-end changes lies a total re-engineering of the supply chain. The traditional discipline of demand planning, which relies on historical data, is being replaced by "demand sensing." This model uses real-time AI to create highly reactive inventory flows that can pivot instantly based on current market signals. Furthermore, the economics of fulfillment have reached a tipping point; micro-fulfillment centers are now financially viable at a threshold of just 500 orders per day. This democratization of automation allows a broader range of retailers to offer localized, rapid delivery that was once the exclusive domain of the industry's largest players.
The retail playbook is being aggressively rewritten in 2026 as the industry moves past the era of mere experimentation and into one of total operational integration. The convergence of autonomous "A-Commerce" agents, the physiological lifestyle shifts triggered by GLP-1 medications, and the unexpected cultural resurgence of the physical mall among Gen Alpha has rendered legacy forecasting models obsolete. Success in this new landscape now depends on a retailer’s ability to bridge the gap between high-tech digital convenience and hyper-personalized, frictionless physical experiences. Ultimately, the winners of this cycle will be those who replace static planning with real-time demand sensing, ensuring they remain as agile as the rapidly evolving consumers they serve.
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.
Despite the ongoing economic uncertainty, year-over-year (YoY) foot traffic trends to brick and mortar retail chains has been generally positive all year, with only three out of the first fourteen weeks of the year posting visit declines.
During Easter week, visits rose 5.7% compared to the week of March 31 to April 4, 2025 – the second biggest YoY increase of the year so far, following Valentine's Day week. And while some of this lift likely reflects calendar shifts, as Easter fell later in April in 2025, it also underscores consumers’ continued willingness to shop – especially for special occasions – despite broader headwinds.
Indeed, AI-powered location intelligence also shows a 1.9% increase in traffic compared to Easter Week 2025, and a 7.4% lift compared to the year-to-date weekly retail traffic average – highlighting current consumer resilience.
Easter generated increases in retail foot traffic across most of the country, but the strongest lift was in the Southeast, as can be seen on the map below. The region’s outsized performance likely reflects a combination of factors, including stronger cultural emphasis on Easter-related gatherings and traditions, favorable spring weather that supports in-store shopping, and a higher reliance on brick-and-mortar retail formats.
Retail traffic data for Easter Week 2026 suggests that retail traffic in 2026 is being supported by stable underlying demand, with holidays like Easter acting as accelerators rather than compensating for weakness. At the same time, the Southeast’s outperformance reinforces the need for regionally tailored strategies, as the ability to convert seasonal demand into store visits varies significantly across markets.
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.
Q1 2026 is in the books and there were some key elements that popped when we looked at the data.
While we’re all about location data, few things get us as excited as the glorious combination of behavioral location analytics with sentiment data. So, we ran a poll of retail industry professionals with our friends at ShopTalk, and the results were fascinating. But two answers really stood out.
First, only 30% of respondents felt that ‘inspiration’ was a key element of the store experience. This was shockingly low considering how powerful the ‘discover mode’ aspect of the shopper journey can be. It also speaks to the massive potential in better maximizing this component to drive product engagement, sales and retail media opportunities.
Second, while 44% of respondents expected Agentic AI to boost digital commerce and 22% expected to simply fragment digital’s current share, 34% felt it would be a tide that lifted all boats. This is hugely positive in that it indicates a growing recognition that the benefit of digitally native innovations is not limited to the digital environment.
In January, all mall formats in the Placer.ai Mall Index saw a boost. A nice start for malls, but maybe just a fluke?
The February data came in and showed that all mall formats once again saw a boost. This gives more evidence to the going hypothesis that top tier malls are in the midst of a significant and ongoing renaissance. While this clearly has huge ramifications for site selection and placemaking at these centers, it also speaks to an ongoing potential for a significant swath of lower tier malls to drive their own revolutions with a greater focus on driving complementary offerings and local audiences.
I’m hardly unbiased when it comes to Target, but since the week beginning January 26th through the week beginning March 23rd – the retailer has seen nothing but visit growth, with visits averaging a 7.8% year over year lift during that period.
Does this mean that every problem is solved? No. But it does show that while there were clearly challenges faced in recent years, there is a unique potential for Target because of their market positioning and brand. We called them out as one of the clear candidates for a major recovery in 2026 and they are showing early signs that validate that call.
In September of 2024 Costco raised the cost of membership. Did this deter potential members and limit visits? Nope.
Instead, Costco has seen continued growth and an expansion of its audience with new groups becoming a bigger part of its overall mix. The result is the latest sign that Costco’s growth could actually have many more levels to hit with just the expansion of its audience.
In a guest post for The Anchor dunnhumby’s Erich Kahner broke down the grocery segment and powerful positioning that two groups had. Savings-First grocers like Aldi or Lidl were well positioned to grab visits with a clear value offering that emphasized price, an especially powerful tool in a period of seemingly endless economic volatility. On the other hand, Quality-First grocers like Sprouts were leading with an emphasis, not on price, but on exceptional product quality. And while these two concepts may seem like obvious draws for consumers, the ability to so effectively center an offering around a core promise gives these brands a unique market position and the ability to effectively deliver on and prioritize this position.
But there is a third group – the unicorns. In this case, Kahner focused on brands like Trader Joe’s and H-E-B and their ability to leverage authenticity, ideal product mix and a powerful understanding of their audience to deliver an exceptional and targeted experience. And this is critical because it represents the latest example that the antidote to bifurcation – the push to exceptional quality and exceptional value across categories – is authenticity. The ability to create an experience and product offering that stands out and truly resonates for a core audience.
Yes, there are continued improvements in office visitation led largely by more dramatic year over year lifts in areas that took longer to recover like San Francisco. However, there is an overall sense that the current state of affairs in office is generally stable. And this is great for office real estate.
Hybrid work has absolutely changed behavior, but it didn’t stop professionals from coming to the office – or many businesses from demanding this return. But there are clear indications of what drives more office visits. Proximity, industry, and family status all present clear signals of how often an audience will visit the office during a specific period. The positive here is that it shows a clear rationale for why people don’t visit, and it is not because they don’t value the office.
The takeaway? Expect an office-centric version of hybrid work to continue setting the overall pace.
For more data-driven retail & 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.
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Club Pilates’ journey since its acquisition by Xponential Fitness represents a rare and large-scale success in the boutique fitness space. Since 2019, the chain has increased its monthly visits by over 200%, largely by expanding aggressively and saturating existing markets.
But same-store data suggests that the brand, having built a dense and expansive studio footprint, may be hitting its first ceiling, and expansion alone may not be enough to sustain the momentum of the past couple of years. Instead, the chain will likely need to combine new location openings with unlocking the latent value within its existing network of 1,400+ studios – growing membership, driving more engagement, improving utilization, and deepening customer relationships.
To that end, Xponential is pursuing a multi-pronged strategy aimed at boosting unit-level economics, including improving member acquisition and investing in digital upgrades to enhance conversion and retention. The company is also testing pricing and packaging strategies alongside studio refreshes and new class formats to increase engagement and utilization with the goal of improving profitability across the existing studio base.
But even as Xponential Fitness works to improve performance at existing locations, expansion – which has been Club Pilates’ primary growth engine to date – will remain an important part of the strategy, with the company aiming to open locations in both "new and existing geographies."
AI-powered location analytics reveal that most Club Pilates visits come from local clients, a trend which has remained remarkably consistent throughout the chain's aggressive expansion. In 2025, around 70% of visits came from patrons travelling less than five miles to reach the studio and more than 85% originated within a 10-mile radius – underscoring the highly local nature of the business.
Because most customers come from nearby, opening additional studios allows the brand to reach new local audiences rather than relying on a single location to cover an entire market. When spaced appropriately, this can grow total demand with limited overlap, while marketing across the market helps reduce the cost of acquiring each new member. As a result, even if same-store visits begin to level off, the brand can continue to grow by expanding its footprint – capturing new pockets of local demand that existing studios do not fully serve.
As Club Pilates enters its next phase, growth will depend both on opening new studios and on optimizing its existing network – improving utilization, deepening engagement, and refining pricing. With strong local density and a loyal, routine-driven customer base, the brand is well positioned to increase member lifetime value through digital enhancements and more personalized experiences. If executed well, this shift from pure expansion to expansion and optimization could elevate Club Pilates from a fast-growing chain to a true fitness super-brand.
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.
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.
