.svg)
Traffic to brick and mortar retail chains remained essentially flat in March 2026 following a period of steady year-over-year (YoY) gains – although calendar shifts may account for some of the apparent slowdown.
Saturday is typically the busiest day for in-store shopping, and March 2026 had one fewer Saturday than March 2025, which likely weighed on overall foot traffic, as average daily visits on each weekday in March 2026 were all higher than the monthly average. At the same time, the increase in average visits per weekday on most days was smaller than the YoY monthly growth in January and February – suggesting that consumer caution may have also played a role in the March traffic trends. April data should bring more clarity as to how much of the slowdown was driven by a calendar shift versus emerging consumer caution.
Meanwhile, traffic to e-commerce distribution centers skyrocketed in March – with visits rising 16.2% compared to March 2025 – perhaps helped by a different calendar shift. The shift in Easter – from April 20 in 2025 to April 5 in 2026 – likely pulled some holiday shopping into late March, boosting activity.
On the manufacturing side, foot traffic to plants remained relatively flat in March 2026, rising just 0.7% YoY nationwide.
The March ISM Manufacturing PMI showed growth in new orders and production compared to February, while employment declined – pulling foot traffic trends in opposite directions. The muted visit growth suggests facilities are maintaining operational intensity even as headcounts shrink, pointing to manufacturing activity becoming less labor-dependent, with output continuing to drive facility usage despite subdued hiring.
March’s data suggests that underlying consumer and industrial activity remains resilient, with calendar dynamics distorting headline trends rather than signaling a true slowdown. Looking ahead, as calendar effects normalize, retail and logistics activity may better reflect this underlying strength, while manufacturing continues its shift toward higher output with leaner workforces.
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.
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.
.avif)
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.
