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Following a difficult 2025, Target appears to be on a recovery path. Weekly visits from February 2 to March 22, 2026 rose 6.6% to 10.3% year over year, suggesting that the company's turnaround strategy – which includes improving its product assortment and in-store experience – is beginning to deliver results.
In-store traffic volume during the company's recent Circle Days also suggest that a turnaround is on the horizon. Average daily visits during this year's Circle Days (March 25th to 27th 2026) were 2.9% and 5.9% higher than the comparable spring events in 2024 and 2025, respectively – despite those prior events benefiting from weekend days. (In 2024 and 2025, Target's spring Circle Day promotion ran for seven days.) Traffic was also higher compared to the YTD same-weekday average – that shoppers are returning to Target, with Circle Days further boosting already elevated traffic levels.
Target’s early-2026 performance suggests its turnaround efforts are beginning to resonate, supported by investments in stores, staffing, and merchandising aimed at improving the in-store experience. Encouraging traffic trends – including stronger performance during Circle Days despite already elevated baseline visits – point to renewed shopper engagement. If Target can sustain this momentum beyond promotional periods, it appears well positioned for stabilization and modest growth in 2026.
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.
IKEA’s recent decision to open a store in Tulsa, OK may seem surprising at first glance. But a closer look at the location analytics reveals a market with a compelling mix of inbound migration, rising incomes, and retail momentum – a combination that is putting the state of Oklahoma on the map as a next-tier retail destination.
So what do location analytics reveal about the trends shaping Oklahoma’s largest markets – and why did IKEA choose Tulsa, the state’s second-largest CBSA, over its biggest, Oklahoma City? We dug into the data to find out.
Population growth is often one of the first signals retailers look for. And while states like California, New York, and Illinois have continued to see domestic outflows in recent years, Oklahoma has been quietly gaining ground. Between January 2023 and January 2026, the state saw an influx of relocators equal to 0.3% of its 2023 population.
Both Oklahoma City and Tulsa have benefited from this trend – but Tulsa holds a slight edge, one factor that may be contributing to IKEA’s decision. The gap may seem modest, but in a mid-sized metro context, even small differences in migration can translate into meaningful increases in demand.
Another factor likely shaping IKEA’s decision is the quality of inbound migration. Data shows that newcomers across Oklahoma bring significantly higher median household incomes (HHIs) than existing residents.
And while Oklahoma City’s overall median HHI remains slightly higher than Tulsa’s, the income lift from new residents is more pronounced in Tulsa. Incoming households there earn about 7.1% more than local residents, compared to a 4.8% premium in Oklahoma City.
This stronger income differential points to a greater influx of higher-earning households – consumers who are more likely to drive discretionary spending. As they settle into new homes, these households often trigger immediate, high-value purchasing cycles, particularly in categories like home furnishings.
And these demographic tailwinds appear to be translating into real-world retail performance. Since 2024, year-over-year retail visits across Oklahoma have outpaced the national average.
At the metro level, both Tulsa and Oklahoma City have seen retail activity grow since 2023 – but only Tulsa has consistently outperformed the U.S. benchmark, and in 2025, it also surpassed the state as a whole.
The convergence of these factors – stronger migration, a more pronounced income uplift, and sustained retail outperformance – may help explain IKEA’s strategic choice.
IKEA stores are long-term investments, often serving as regional anchors for decades. Choosing Tulsa signals confidence not just in current demand, but in the market’s future trajectory.
And the data supports that bet. With stronger inbound migration, a greater concentration of higher-income newcomers, and above-average retail momentum, Tulsa is emerging as a quietly attractive growth market – one that may be flying under the radar, but increasingly checks all the right boxes.
For more data-driven retail analysis, 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.
Chick-fil-A continues to carve out a distinctive growth story in the quick-service restaurant (QSR) space, pairing steady physical expansion with consistent gains in foot traffic. The latest data highlights a brand strengthening its position through operational efficiency, disciplined growth, and a loyal customer base that values quality and experience over aggressive promotions.
Supported by industry-leading average unit volumes, Chick-fil-A has successfully expanded its physical footprint without sacrificing store-level performance.
Recent traffic data from September 2025 through February 2026 illustrates this efficient scaling, as total visits rose consistently year-over-year throughout the entire six-month period while average visits per location remained elevated in four of those six months.
In addition, since September 2025, Chick-fil-A has largely outpaced other limited-service restaurants in per-location traffic growth, lagging behind QSR and fast-casual competitors only in October and November.
Notably, November’s sharp decline can be attributed to calendar dynamics rather than a drop in consumer interest – Chick-fil-A is famously closed on Sundays, and November 2025 had one more Sunday than November 2024, which could have placed the chain at a disadvantage relative to other restaurants.
Chick-fil-A’s resilience may be rooted in part in the strong alignment between its operating model and its customer base. Positioned as a premium QSR brand straddling the line between fast food and fast casual, the chain emphasizes consistency, menu simplicity, and high-touch service rather than heavy discounting.
This approach has helped Chick-fil-A maintain a top ranking for QSR customer satisfaction for over a decade. At the same time, its trade areas skew more affluent than those of traditional QSR competitors, providing a degree of insulation from macroeconomic pressures and supporting a willingness to pay for a reliable, higher-quality dining experience.
Chick-fil-A’s recent performance highlights a brand executing with discipline – expanding its footprint while maintaining strong unit-level productivity and outperforming key competitors. With a stable operating model and a customer base that supports its offerings, the chain appears well positioned to sustain its upward trajectory.
For more data-driven dining 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.
Traffic trends highlight a growing divergence between mono-brand boutiques and luxury department stores. While both formats have faced headwinds, department stores have consistently outperformed mono-brand boutiques on a year-over-year basis, maintaining relatively stable visitation compared to the sharper and more sustained declines seen across mono-brand locations. This gap has been especially pronounced since the second half of 2025, where mono-brand traffic trends weakened significantly while department stores showed greater resilience.
Part of this gap may be explained by structural differences between the formats. Department stores offer broader assortments, multiple price points, and the ability to support a range of shopping missions in a single visit, allowing them to capture demand across a wider spectrum of consumers. Mono-brand boutiques, by contrast, are more tightly tied to full-price luxury positioning, making them inherently more exposed to fluctuations in discretionary spending.
But even as luxury department stores offer a broader range of products that can appeal to a wider audience, trade area demographics suggest that mono-brand boutiques rely more heavily on aspirational shoppers. While both formats drew from affluent areas in 2025, mono-brand stores captured a higher share of households below the $100K income threshold – indicating greater exposure to more price-sensitive consumers. Department stores, by contrast, skewed toward higher-income households, providing a more stable demand base.
This distinction also helps explain the widening traffic gap between the two formats. As discretionary spending tightens, aspirational shoppers are often the first to pull back. And because mono-brand boutiques seem to depend more on this segment – and lack the pricing flexibility and assortment breadth to retain them – they are experiencing sharper declines. Meanwhile, department stores, supported by a more affluent customer base and greater assortment diversity, are better positioned to sustain traffic and overall performance.
The divergence between the two luxury formats suggests that both who shops and how they shop matter as much as brand strength. Mono-brand boutiques’ greater exposure to aspirational consumers leaves them more vulnerable in periods of constrained spending, while department stores benefit from both structural flexibility and a more resilient customer base. As the environment remains uneven, performance will likely hinge on a retailer’s ability to align format, pricing strategy, and audience with today’s shifting demand dynamics.
For more data-driven retail insights, visit placer.ai/anchor.
As economic pressure continues to reshape consumer behavior, one retail segment is accelerating through the storm. Thrift stores, long viewed as a niche segment, are emerging as a core apparel channel – attracting more affluent value-seekers and a younger generation of shoppers. An AI-powered analysis of the thrift category and one of its leading players – Goodwill – highlights the segment’s rise to prominence and the takeaways for other apparel players in an uncertain retail environment.
Thrift stores have seen sustained visit growth in recent years. The chart below compares visits across thrift, traditional apparel, and luxury apparel chains relative to Q4 2022. Thrift has maintained a clear upward trajectory, outperforming both traditional and luxury apparel since Q1 2025, as visits to those segments wane.
This trend likely reflects several dynamics at work. Economic pressure has encouraged consumers to seek out lower-cost alternatives, while the opportunity to score stylish, high-quality, and even luxury items at a fraction of their original price introduces a “treasure hunt” dynamic that traditional retail often struggles to replicate.
In this sense, thrifting has redefined value-seeking behavior – not out of necessity, but because it enhances the thrill of the hunt: a wholly discretionary shopping mentality.
Thrift’s visit growth is also being driven by increasing visitor frequency.
At Goodwill, for example, customer loyalty has been on the rise. Between early 2022 and early 2026, the share of visitors making an average of two or more visits per month, rose from roughly 28% to around 30%.
This trend aligns with the very nature of the thrift experience. Constantly changing inventory combined with meaningful variation across locations encourages shoppers to visit more often and explore multiple stores within short timeframes.
At the same time, online resale activity is increasing, particularly among younger, digitally savvy consumers. As economic uncertainty persists, many are turning thrifting into a side hustle, leveraging low-cost sourcing and online platforms to generate income – providing additional financial incentive to make repeat trips.
Social creators are further accelerating this behavior. “Thrift flip” videos, haul content, and store walkthroughs are reshaping discovery and growing in popularity among Gen Z audiences. And operators are adapting accordingly – partnering with influencers and refreshing store environments to better align with younger consumers’ expectations.
In addition to attracting younger audiences and frequent visitors, the profile of thrift store shoppers is evolving in another way. Operators such as Goodwill have increasingly expanded into higher-income areas, improving both the quality of donated inventory and access to more affluent customer segments. Likely as a result, the median household income (HHI) of the segment’s overall trade area – its potential market – has risen steadily.
At the same time, the median HHI of the category’s captured market – the areas within its trade area generating the most visits – has also increased, evidence that thrifting is gaining traction among more affluent consumers driven by value-seeking and treasure-hunting.
And crucially, while thrift stores still attract a somewhat less affluent audience than their overall trade area, this gap is narrowing: The income differential between potential and captured markets declined from 5.3% in 2022 to 4.8% in 2025, with the customer base increasingly reflecting the demographics of the communities where stores operate.
Taken together, these trends point to a broader repositioning of thrift retail. What began as a value-driven alternative is evolving into a hybrid model – one that blends affordability and discovery.
And in a time of economic uncertainty, a channel that resonates across income levels, engages younger shoppers, and thrives at the intersection of physical retail and digital culture is well positioned to not only remain resilient, but continue to build momentum.
Will the thrift space build on its successes in 2026? Visit Placer.ai/anchor to find out.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
While a state’s share of brick-and-mortar retail visits generally tracks with its share of the U.S. population, the chart below shows that the relationship is not perfectly proportional. Some states, such as Texas and Florida, generate a larger share of retail traffic than their population size alone would suggest, while others, such as California and New York, account for a smaller portion of visits relative to their population base.
Mapping each state’s share of retail visits to its share of the population reveals a clear geographic pattern: Across much of the Sun Belt, retail visits tend to over-index relative to population, while under-indexing is more common along the West Coast and in parts of the Northeast.
Several structural dynamics may help explain this regional divide. Migration into Sun Belt markets has been driven in part by lower costs of living, and once there, households may have more discretionary income relative to high-cost coastal markets – supporting more frequent in-person shopping trips. At the same time, consumer behavior differs across regions: in higher-cost coastal and Northeastern markets, shoppers may be more likely to consolidate trips or shift spending online, contributing to fewer retail visits per capita.
For retailers and CRE professionals, these patterns suggest that a data-driven expansion strategy should account not just for population growth, but for how and where consumers choose to shop across regions.
Sun Belt markets may offer outsized opportunities for physical retail expansion, as higher-than-expected foot traffic signals strong in-person engagement and potential demand for additional brick-and-mortar supply. Conversely, in coastal and Northeastern markets, where visits under-index and e-commerce adoption is higher, success may depend more on experiential retail, premium formats, or omnichannel integration rather than footprint growth alone.
For more data-driven retail and CRE insights, visit placer.ai/anchor.
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.
