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Location intelligence for Walmart and Target highlights two distinct storylines in the superstore space – one defined by sustained momentum, and the other by the early stages of a rebound.
Over the past several months, Walmart has recorded consistent year-over-year (YoY) visit growth, with same-store visits closely tracking overall traffic – suggesting that gains are being driven primarily by existing locations rather than new store openings. This trend aligns with the company’s previously reported transaction growth, reinforcing the strength of underlying demand and serving as a positive signal as Q2 2026 progresses.
Target, on the other hand, entered 2026 under pressure, as visits trailed prior-year levels in both November and December 2025 – partly reflecting continued softness in discretionary categories, which represent a significant portion of its business.
January 2026, however, appeared to mark the beginning of a notable shift, with both overall visits and same-store visits stabilizing. The months that followed brought a meaningful traffic rebound, indicating that February’s positive sales trends may have continued, and new CEO Michael Fiddelke’s turnaround strategy may be bearing fruit. These improvements are particularly noteworthy in light of ongoing weakness in consumer sentiment and the impact of energy price hikes.
An analysis of visits to both brands by day of week adds further context to their recent performance. At Walmart and Target alike, weekday visits rose sharply YoY in Q1 2026 – marking a clear improvement for both retailers – while weekend visits remained essentially flat YoY.
For Target, this stabilization in weekend visits is notable, as prior declines had weighed on overall performance. This matters because weekends tend to capture more discretionary browsing and higher-margin categories that are central to Target’s model.
At the same time, with non-essential spending under pressure, growth anchored in steady weekday demand – reflecting routine, need-based shopping trips – suggests that both brands are reinforcing their roles as essential retail destinations. A measured, but steady, start to 2026.
AI-powered location intelligence indicates that Walmart continues to benefit from steady, need-based demand, while Target appears to be regaining traction after a softer period. Whether Target can build on this early momentum and translate it into sustained growth may be one of the more closely watched dynamics in the sector in the months ahead.
For updates, 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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We're living through one of the most consequential technology shifts of our lifetimes. Generative AI is reshaping how people analyze information, make decisions, and do their work at a pace that would have seemed implausible only a few years ago. For industries like ours, where professionals rely on data to make high-stakes decisions about the physical world, the opportunity is especially exciting. Insights that once took weeks can now surface in minutes. Analytical workflows that once required specialized training can become accessible to anyone.
But that opportunity comes with real responsibility. The same capabilities that make GenAI so powerful also introduce risks such as bias, accuracy, privacy, and misuse - and those risks compound when the underlying technology is moving faster than the norms and regulations around it. The companies building with AI today are, in many ways, writing the operating rules in real time. How we choose to do that matters.
At Placer, we want to be clear about how we choose to do it. Placer doesn't build its own large language models (LLMs). Instead, we use well-established, trusted models from leading providers - the same foundation models that power the most widely adopted AI tools in the enterprise today. That's a deliberate choice. Our value to customers comes from the depth and quality of our data and the analytical expertise built around it, not from reinventing general-purpose AI infrastructure.
But not building the models ourselves doesn't let us off the hook for how we use them. If anything, it raises the bar. When we embed GenAI into our platform, whether as an analytical assistant, an automated summary, or a future agent that helps professionals move faster through their workflows, our customers trust us with the outcome. They're trusting us to pick the right models, apply the right guardrails, protect their data, and be transparent about what the technology is and isn't doing.
That's why we're publishing our Responsible AI Principles today. They're clear, concise, and they reflect how we actually operate.
The four Responsible AI principles address the issues we believe matter most to the professionals who rely on Placer every day:
Fairness and bias mitigation. AI systems can reflect and amplify existing biases in their training data. Our core defense is something we've been doing since long before GenAI: continuously validating our models, monitoring our AI practices and de-biasing outputs where appropriate.
Transparency and accountability. When we use GenAI in customer-facing features, we say so. We build feedback mechanisms into the product and treat that feedback as a real input to how the system evolves.
Privacy by design. Our AI tools are built to identify patterns about places and brands, not individuals. The same strict privacy measures that govern the rest of the Placer platform apply to every new GenAI feature we ship.
Security and safety. We are responsible custodians of our customers' data and are committed to safeguarding its integrity using industry leading standards.
We've also published a clear statement on how Placer's GenAI capabilities may be used and what restrictions we apply. These aren't new restrictions; they extend the responsible-use commitments that have always governed how our data can be used.
We're excited about the era of GenAI and about the value these new capabilities will create for our customers. The AI principles we're publishing are part of a broader effort across the company that’s grounded in a simple idea: trust isn't something we claim once and move on from. It's something we earn in every feature we ship.
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April 2025 set a high bar for movie theater performance, with A Minecraft Movie (April 4) and Sinners (April 18) driving significant spikes in foot traffic. Against this strong comparison, year-over-year (YoY) theater visits trended negative through much of April 2026. This followed a stronger March 2026, when releases like Scream 7 and Project Hail Mary – and easier comparisons – helped sustain significant YoY traffic gains
While the highly anticipated The Devil Wears Prada 2 (released May 1) did not generate a meaningful YoY uplift – given the difficult April 2025 comparison – it appears to have helped stabilize visitation trends, halting the declines seen in prior weeks.
Overall, the data reinforces that theater traffic remains highly blockbuster-driven, with consumers still willing to return to theaters when content feels like a must-see experience. With a slate of major releases ahead – including Star Wars: The Mandalorian and Grogu in late May and Toy Story 5 in mid-June – the sector is likely to see renewed spikes in visitation tied to tentpole premieres.
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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April data indicates positive momentum for the mall sector, with year-over-year (YoY) traffic increases across all three formats analyzed – indoor malls, open-air shopping centers, and outlet malls. This performance is particularly notable given the strong April baseline last year, when traffic rose between 3.7% and 4.3% across formats compared to April 2024.
Open-air centers came out on top, extending a trend in place since December 2025, with visits rising 3.5% YoY. This marks a return to the top growth position after ceding the lead to indoor malls for much of 2025. Indoor malls followed with a 2.2% increase, while outlet malls lagged behind, posting a modest 0.5% YoY gain in April 2025 – potentially reflecting greater sensitivity to elevated gas prices in recent weeks.
At the same time, the average visit duration declined YoY, with all formats experiencing a shift toward shorter visits (under 30 minutes) and a corresponding drop in longer visits (45+ minutes).
This divergence between rising traffic and shorter dwell times suggests that a growing share of consumers are engaging in more mission-driven trips – visiting with a specific purpose in mind rather than for extended browsing. As a result, malls may be seeing more targeted, efficiency-oriented behavior that could concentrate spend within fewer stores per trip.
Still, this shift does not signal a wholesale move away from malls as destinations: across formats, over 40% of visits continue to last more than 60 minutes, indicating that a significant segment of consumers remains engaged in longer, more experiential visits even as quick trips become more prevalent.
April’s data suggests that malls are evolving to meet a wider range of consumer needs. The combination of rising traffic and varied visit lengths suggests that malls are successfully functioning both as convenient, mission-driven retail hubs and as destinations for longer, experiential outings. This dual role may ultimately prove to be a strength, enabling operators and tenants to capture multiple trip types and occasions. If sustained, these trends position the sector for continued resilience, with opportunities to further optimize tenant mix, merchandising strategies, and on-site experiences to align with increasingly dynamic consumer behavior.
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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The home improvement category has faced sustained headwinds in recent years – from elevated mortgage rates to sluggish existing-home sales and a consumer base hesitant to take on major remodeling projects. But after a prolonged stretch of year-over-year (YoY) visit declines, both Home Depot and Lowe’s have returned to growth – and the foot traffic data suggests this shift is more than just a seasonal uptick.
Both home improvement leaders closed Q1 2026 with YoY visit gains – Home Depot up 1.9% and Lowe’s up 2.0% – building on the stabilization seen in Q4 2025. This improvement aligns with their latest financial results: Home Depot reported U.S. comparable sales growth of 0.3%, while Lowe’s posted a stronger 1.3%. And for both chains, the return to positive territory suggests a long-awaited recovery may finally be underway.
Monthly data also suggests that while inclement weather contributed to the segment's strong performance in January, the underlying recovery is genuine. Home improvement benefits from unusual weather events, and January's strong gains for both chains – Home Depot +2.5%, Lowe's +3.9% – were partly fueled by Winter Storm Fern, which impacted communities across more than thirty states. But the momentum carried into February, and while growth moderated in March – and for Home Depot again in April – neither brand slipped into negative territory.
That resilience is an encouraging signal for the category during the critical spring home improvement season, particularly given renewed headwinds like rising gas prices and softening consumer sentiment. Lowe's stronger performance in April 2026, supported by easier comparisons, may also reflect its greater exposure to DIY customers tackling smaller repairs and at-home projects as consumers redirect spending closer to home.
Interest rates remain elevated and the housing market sluggish – but those same forces may now be working in the category's favor, as homeowners staying put begin to tackle a growing backlog of deferred repairs and maintenance. The bigger question is whether that momentum eventually unlocks the large discretionary projects both retailers say consumers are still holding back on – especially amid continued tariff uncertainty and elevated prices at the pump.
For more data-driven retail insights, follow Placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
There may be more digital entertainment than ever before, but consumers still seek out places to socialize and have fun in the physical world. And in-person entertainment venues – from stadiums to experiential viewing concepts – are attracting unique audiences that span a range of psychographic segments.
A closer look at venues in the Dallas and Los Angeles areas reveals how this diversity plays out across markets, and what it could signal for stakeholders in the business of out-of-home entertainment.
In-person entertainment includes a variety of venues and formats. In the Dallas area, legacy venues AT&T Stadium, American Airlines Center, and Globe Life Field – and eatertainment concepts, movie theaters, and “shared reality” experiences such as Cosm – are just some of the in-person entertainment options.
And in the Dallas region, AI-powered trade area analysis reveals that affluent and suburban families dominate the out-of-home entertainment scene. Across every analyzed venue and entertainment category, either Ultra Wealthy Families or Wealthy Suburban Families ranks as the top audience segment – reflecting the region's family-oriented, suburban fabric.
That said, each venue or category attracts a distinct audience mix. Cosm Dallas and the American Airlines Center over-index on Ultra Wealthy Families and draw a relatively higher share of Young Professionals than other venues. This likely reflects their premium positioning: Cosm as a novelty experience, and the AAC as an upscale urban destination where higher costs may skew attendance toward more affluent consumers.
By contrast, Wealthy Suburban Families lead at Globe Life Field (home to the Texas Rangers) and AT&T Stadium (home to the Dallas Cowboys), both of which also attract meaningful shares of blue-collar suburban audiences.
And there is clear demand for in-person entertainment among Dallas’s up-and-coming and working-class consumers. Blue Collar Suburbs and Young Urban Singles segments tend to favor eatertainment venues and movie theaters – more affordable options for going out.
Greater Los Angeles offers a similarly diverse mix of entertainment anchors: SoFi Stadium, Dodger Stadium, Angel Stadium, and Crypto.com Arena – as well as a Cosm location, eatertainment chains, and movie theaters.
However, audience segmentation for in-person entertainment in the region shows a distinct profile compared to Dallas – shaped by SoCal’s urban density and demographic diversity. Near-Urban Diverse Families represent the largest segment across every analyzed venue and entertainment category, while Wealthy Suburban Families also account for a significant share of visitors across formats – particularly at Angel Stadium, likely due to its suburban Orange County location. The prevalence of these two segments suggests that urban, middle-class family audiences are the backbone of entertainment demand in the region while higher-income, suburban households play a strong supporting role in out-of-home entertainment consumption.
Two other patterns also jump out from the data.
First, Cosm Los Angeles and Crypto.com Arena’s audiences draw more heavily from the Educated Urbanites and Ultra Wealthy Families segments, which could point to a somewhat more premium-leaning audience mix at these destinations.
Second, the Young Urban Singles segment accounts for a relatively consistent audience share across all categories – suggesting broad-based entertainment preferences. With no single entertainment format commanding outsized engagement from this young cohort, operators in the Los Angeles market have an opportunity to further tailor experiences and potentially shape future demand among this audience.
In both Dallas and Los Angeles, the composition of out-of-home entertainment audiences reflects each market’s underlying demographics and urban structure.
And yet, certain consumer segments prefer particular entertainment venues or formats over others, and understanding who shows up is critical. Operators and advertisers that tailor their offerings to the dominant segments – whether through pricing or programming – may be better positioned to capture sustained demand and attain better ROI within their market.
For more 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.
