Lila Margalit

Since taking the reins in 2023, Gap Inc. CEO Richard Dickson has pursued a turnaround strategy aimed at reinvigorating the legacy apparel retailer, with promising results so far. Did that positive momentum carry through the end of the year? And what can location analytics reveal about the role of each of Gap Inc.’s largest banners in powering the company’s recovery?

From Reset to Results

Recent foot traffic data points to solid traffic momentum at Gap Inc. With the exception of a brief dip in December – likely driven by holiday demand pulling forward into November, along with one fewer Sunday compared to 2024 – year-over-year (YoY) company-level visits remained consistently positive over the past six months.

Throughout the period, same-store visits slightly outpaced total traffic, reflecting a more optimized fleet following the closure of several underperforming stores over the past year. Gap Inc’s robust traffic patterns also align with recent earnings commentary showing positive company-level in-store comparable sales in Q3 2025 and improving execution across Gap’s leading brands, as the company continues its strategic reset.

Old Navy Anchors Stability While Gap Captures Seasonal Upside

Looking at the company’s two largest brands shows that each is contributing to the company’s rebound in a different way. In Q4 2025, Gap slightly outperformed Old Navy on a quarterly basis, with banner-level traffic up 1.6% YoY, compared with 1.2% at Old Navy. However, Old Navy delivered more consistent monthly gains throughout the analyzed period – including in September, when Gap experienced a modest decline.

Gap’s traffic trends were notably more variable, with a stronger YoY lift in November, likely reflecting the brand’s greater sensitivity to seasonal storytelling and early holiday demand. This responsiveness was especially apparent on Black Friday, when Gap visits surged 504.4% above its 2025 daily average, compared with a still-robust but more measured 436.4% increase at Old Navy.

Old Navy’s smoother monthly performance likely reflects its role as the portfolio’s stability engine, with value-driven and replenishment trips supporting steady traffic throughout the year. Gap, on the other hand, appears to fulfill a more discretionary function, with visits responding more sharply to merchandising, marketing, and holiday timing.

Visitor Behavior Defines Different Demand Curves

Visitor behavior data for Gap and Old Navy further reinforces the two brands’ distinct positionings. Old Navy attracts longer, more frequent visits that skew toward weekdays, signaling habitual shopping tied to browsing, value-seeking, and building everyday wardrobe essentials. Gap, meanwhile, sees shorter, less frequent visits that are more likely to occur on weekends – consistent with more discretionary trips tied to seasonal needs, inspiration, or occasional splurges.

Doubling Down on Each Brand’s Natural Strengths

These differences between the two banners may help shape how Gap Inc. approaches its next phase of growth. In January 2026, the company leaned into “fashiontainment” with the appointment of former Paramount executive Pam Kaufman as Chief Entertainment Officer. At the same time, it has begun expanding into beauty and accessories, including the launch of Beauty Co. at 150 Old Navy locations nationwide.

As these strategies roll out, allowing them to express themselves differently across Gap and Old Navy could help maximize the strengths of each banner. At Gap, fashiontainment may lend itself to high-impact cultural moments and narrative-driven campaigns that tap into the brand’s strengths in nostalgia and storytelling – such as last year’s Better in Denim campaign featuring Katseye. At Old Navy, the same idea may be most effective through large-scale, family-friendly partnerships that reinforce its role as a dependable, mass-market destination – like the Disney collaboration launched last May. A similar dynamic could emerge in beauty, with Old Navy’s Beauty Co. supporting frequent, routine visits, and beauty at Gap reinforcing fashion authority and cultural relevance rather than driving habit.

For more insights into the consumer patterns shaping retail strategy, 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.

Digital and Physical Retail Move in Parallel

E-commerce distribution centers outpaced brick-and-mortar retail chains in year-over-year (YoY) foot traffic growth throughout the 2025 holiday stretch. This pattern aligns with broader holiday-season data showing that e-commerce sales growth exceeded brick-and-mortar growth in 2025.

Still, physical retail continued to account for the majority of total holiday spending, and in-store visits also saw steady, positive YoY growth throughout the season. The data points to a retail environment where digital and physical channels are not competing for relevance but operating in parallel, each capturing different dimensions of consumer demand. That dynamic carried into the new year as well: January 2026 visits remained above year-ago levels for both e-commerce distribution centers and brick-and-mortar retail, rising 2.6% and 1.8% YoY, respectively.

When Foot Traffic and Sentiment Diverge

Visits to Placer.ai’s Industrial Manufacturing Index, on the other hand, softened in January 2026, following stronger YoY momentum in December. At first glance, this decline may seem surprising: January marked a clear improvement in manufacturing sentiment, with the ISM Manufacturing PMI rising to 52.6% – its first expansionary reading in at least a year – and the Production sub-index also improving. While the ISM captures month-over-month shifts in sentiment rather than year-over-year change, a sharply improving outlook may seem inconsistent with such a steep YoY decline following a positive month.

But a closer look at the weekly data helps explain the divergence. Sentiment surveys capture outlook, orders, and expectations, while foot traffic reflects physical, on-site activity. Winter Storm Fern, which caused widespread disruptions late in the month, weighed heavily on manufacturing visits and pulled down the overall January figure. Weather events like this can meaningfully suppress foot traffic even as underlying sentiment improves – and they tend to register far more clearly in mobility data than in survey-based indicators.

Calendar effects likely contributed as well. January 2026 had one fewer working day than January 2025, a difference that can have an outsized impact on visit-based measures tied to operational and industrial activity.

Looking Forward

Overall, the data points to an economy that ended 2025 with solid momentum across consumer-facing channels, even as early-2026 manufacturing activity reflected short-term disruption. As weather normalizes, will on-the-ground industrial activity rebound?

Follow Placer.ai/anchor for more data-driven insights into the trends shaping retail, logistics, and manufacturing.

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.

Traditional department stores aren’t going anywhere. But over the past several years, the balance of power has shifted decisively toward retailers like off-price chains with the clearest value story. The latest signal of that shift came as Saks Global – parent of Saks Fifth Avenue, Neiman Marcus, and Bergdorf Goodman – filed for bankruptcy and began closing stores.

How wide has the gap between department stores and off-price really become? And what lies in store for the two categories in 2026?

The Visit Pie Gets Re-Sliced

The chart below shows just how dramatically the category split has changed since 2019. Pre-COVID, department stores held a slight edge, capturing just over half of visits to the two segments. But by 2025, that relationship had fully reversed, with off-price claiming a remarkable 62.9% share of visits. As consumers grow more price-sensitive and the retail landscape becomes more bifurcated, traditional department stores have struggled to articulate a clear competitive edge – while off-price continues to benefit from a straightforward, discovery-driven model.

Treasure Hunt Stays Hot

Year-over-year data reinforces the structural strength of the off-price model. In Q4, the segment once again delivered solid gains, extending a winning streak that’s become harder for traditional department stores to match.

Notably, all four major off-price players expanded their footprints over the past year, and in each case overall visit growth outpaced per-location gains. Ross Dress for Less led the group with per-location visit growth ranging from 11.5% to 7.7% between October 2025 and January 2026. Some of that strength reflects easier baseline comparisons, but the scale of the gain still signals durable demand. Burlington delivered 9.4% overall visit growth even as per-location visits were essentially flat at -0.3%, a pattern consistent with rapid store expansion paired with steady interest at existing locations.

Meanwhile, T.J. Maxx and Marshalls turned in low single-digit gains while lapping a strong prior year: T.J. Maxx grew 2.1% per-location and 2.8% overall, while Marshalls rose 1.6% and 3.3%, respectively. 

The Department Store Divide

Department stores, by contrast, faced a more challenging traffic environment, with several chains continuing to shrink their footprints. Yet even within the category, performance was mixed. And the brands with the clearest identities – whether rooted in regional loyalty or premium, service-led positioning – continued to thrive. 

Regional players led the traditional segment, with Von Maur seeing the most pronounced and consistent per-location growth during the analyzed period. Repeatedly ranked “America’s Best Department Store” by Newsweek, the chain has built its reputation on a differentiated, service-first in-store experience. Boscov’s, another regional operator with a loyal customer base, delivered a solid Q4 as well, even though per-location traffic dipped slightly YoY in December and January.

Among national banners, several higher-end brands also showed relative strength. Nordstrom – long associated with standout customer service – grew per-location visits by 4.2% YoY in Q4, even as overall traffic slipped 0.6% amid store closures. Bloomingdale’s posted 1.9% per-location growth. And while Saks Fifth Avenue has faced well-publicized corporate headwinds, its traffic declines remained comparatively modest in Q4.

The pressure was most visible among mid-market chains without a sharply defined value or experiential proposition. Kohl’s saw per-location visits fall 3.2%, with overall traffic down 5.0%, while JCPenney declined 3.8% and 5.5%, respectively. Macy’s, meanwhile, saw overall traffic drop as it continued rightsizing – though per-location visits held relatively steady, suggesting its turnaround strategy is beginning to bear fruit.

Rewarding Clarity

The Q4 data underscores a defining theme in department store and off-price retail: Consumers are rewarding clarity. Off-price is winning on value and discovery, regionals are winning on loyalty, and premium banners are holding up where the experience is distinct. In a bifurcated retail environment, the middle is the toughest place to be.

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.

Throughout 2025, Shake Shack significantly outperformed the broader fast-casual segment with strong double-digit year-over-year (YoY) visit growth.

This outsized performance was driven primarily by fleet expansion – but same-store visit data indicates the chain has successfully grown its store count without meaningfully diluting demand at existing locations.

Across most of the second half of 2025, same-store traffic remained modestly positive YoY, with a more pronounced dip occurring only in December. That decline likely reflects weather disruptions, which the company noted in a recent 2025 update had a meaningful impact on performance late in the quarter. Despite these headwinds, early Q4 earnings data shows same-shack sales up 2.1% YoY in Q4 and 2.3% for 2025 overall – underscoring Shake Shack’s ability to sustain demand even amid external pressures.

Looking Ahead

As Shake Shack enters 2026, the key question is whether the brand can continue scaling its footprint while preserving same-store performance in an increasingly competitive fast-casual landscape. With expansion driving growth and existing locations holding steady, the data suggests the company remains well positioned – but execution will be critical as macro challenges persist.

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.

Wingstop closed out Q4 2025 with soft same-store traffic but a clearly defined strategic trajectory. While same-store visits remained under pressure, performance in Dallas – the brand’s most mature market – suggests that improvements in operational efficiency could play a central role in unlocking Wingstop’s next phase of growth.

Growth Continues, Even as Same-Store Visits Lag

Wingstop continued to expand its physical footprint in Q4 2025, driving total chain-wide traffic up 1.0% year over year (YoY) for the quarter and 4.5% for 2025 as a whole. At the same time, same-store traffic remained soft, extending a pattern that persisted throughout the second half of the year.

Some of that pressure reflects a challenging baseline comparison. Wingstop is lapping an unusually strong 2024, when domestic same-store sales surged nearly 20% YoY – setting a high bar for subsequent growth. The decline in same-store visits also aligns with the brand’s deliberate shift toward off-premise occasions: By Q3 2025, 72.8% of Wingstop’s sales were digital, underscoring the brand’s evolution into a tech-led, delivery-forward concept.

The Dallas Advantage

Still, looking more closely at Wingstop’s Dallas, TX market – home to the majority of its company-owned restaurants – offers a compelling signal for how the brand can reverse recent traffic trends. In 2025 earnings calls, management repeatedly pointed to Dallas as a top performer, attributing its resilience to the early integration of the chain’s AI-powered Smart Kitchen platform. 

Piloted in Dallas before its nationwide rollout in late 2025, the AI-powered system is designed to optimize throughput and accuracy to deliver a more consistent pickup experience. And location analytics appear to support management’s view: In Q4 2025, 44.5% of Wingstop visits in the Dallas DMA lasted under ten minutes, compared to 40.8% nationwide.

A Dallas Blueprint for National Recovery

Comparing YoY performance for shorter and longer visits to Wingstop – both in Dallas and nationwide – further highlights the growing importance of speed of service. In Q4 2025, visits lasting under ten minutes increased YoY on a per-location basis nationwide, with even stronger gains in Dallas, while longer visits continued to lag. 

Crucially, although Dallas was not immune to the broader pressures weighing on longer visits, its YoY decline was notably less severe than the national trend. This divergence suggests that, beyond reducing wait times, the faster and more accurate service enabled by the Smart Kitchen platform may be contributing to a stronger overall visitor experience. 

A Path Forward

Location analytics suggest that operational improvements and faster service are beginning to translate into stronger traffic for Wingstop. And with the chain’s new loyalty platform set to launch nationwide later this year the brand may be poised for renewed same-store momentum.

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.

The return to office was put to the test last month as a slew of new RTO mandates took effect – coinciding with the late-January arrival of Winter Storm Fern. With policies pulling in one direction and weather disruptions pulling in the other, how were offices impacted on the ground?

Winter Weather, Steady Momentum

January 2026 delivered a reminder that return-to-office progress is anything but linear – but it is still gaining ground. Despite Winter Storm Fern disrupting travel and commutes across large parts of the country toward the end of the month, office attendance continued its gradual recovery. Visits to the Nationwide Office Index were 38.3% below January 2019 levels, a modest improvement from January 2025, when a Polar Vortex similarly inhibited commutes.

And while total monthly visits came in slightly below January 2024 levels, adjusting for the number of working days reveals a more encouraging picture. On a per-working-day basis, January 2026 was the busiest in-office January since COVID – no small feat in a month when ice and snow covered large swaths of the contiguous U.S. for several days. The fact that offices were generally fuller than in prior Januaries, even amid widespread disruptions, points to a robust underlying RTO trajectory.

Cities Tell a Weather-Driven Story

Fern’s influence becomes clearer, however, when zooming in on individual metros. Cities that avoided the worst of the storm generally posted stronger year-over-year (YoY) gains, while heavily impacted markets saw flatter or negative results. Miami, for example, continued to record YoY increases, while New York City – hit hard by Fern – saw visits edge down 0.3% YoY. 

Last year’s winter conditions also played a meaningful role in YoY comparisons. Both Dallas and Houston were affected by Fern this January, though Dallas bore the brunt of the storm, with snow, ice, travel disruptions, and flight cancellations contributing to a 6.7% YoY drop in office visits. Houston, by contrast, experienced more limited disruption in January 2026 and posted a YoY increase – in part because it was lapping the January 2025 Gulf Coast Blizzard, which saw rare snow accumulations effectively shut the city down. In other words, Houston’s biggest weather-related disruption occurred last winter, while Dallas faced a more acute shock this year.

Washington, D.C.’s 3.2% YoY uptick and Atlanta’s 9.1% gain similarly reflect comparisons to January 2025, when both markets were hampered by extreme winter weather. But these rebounds also point to underlying recovery momentum – especially for Atlanta, which, despite being impacted by Fern, ranked third among the analyzed cities for post-pandemic office recovery.

Meanwhile, West Coast markets that were largely spared severe winter conditions posted the strongest year-over-year gains. Los Angeles and San Francisco led the pack, with YoY increases of 15.6% and 10.9%, respectively.

Just Another Sleepy January?

In today’s hybrid workplace, weather disruptions have become an increasingly accepted reason to skip the commute and work from home. And as a result, January – one of the most weather-prone months of the year – has emerged as a softer period for office attendance, regardless of broader RTO momentum.

Still, when adjusting for the number of working days, office visits this January marked a meaningful improvement over last year – further evidence that return-to-office progress continues to move steadily forward.

For more data-driven office recovery analyses, 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.