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Article
Who Attends the Super Bowl?
Our latest white paper, Who’s in the Stands? An In-Depth Look at Arena and Stadium Visits, uses location intelligence tools to uncover the demographic and psychographic characteristics of sporting events attendees – including Super Bowl fans. Read on for a taste of our findings.
Ezra Carmel
Feb 9, 2023
3 minutes

Our latest white paper, Who’s in the Stands? An In-Depth Look at Arena and Stadium Visits, uses location intelligence tools to uncover the demographic and psychographic characteristics of sporting events attendees – including Super Bowl fans. Below is a taste of our findings.

Super Travel Plans

As the biggest game of the year, the Super Bowl usually brings a tourism boom to the host city. The heat map below depicts the origins of travelers to the past three Super Bowls (excluding Super Bowl LV in 2021 which was held under COVID restrictions). Year after year, the distribution of Super Bowl attendees is relatively similar to the country’s population distribution – which means, perhaps unsurprisingly,  that the most densely populated regions are well-represented at the game. 

Heatmap of Super Bowl Visitor Origins

But the data also reveals that many Super Bowl attendees travel from the regions where the competing teams are based, which indicates that die-hard fans are willing to make the trip to see their local team potentially win a championship. The map also shows that visitors from the Super Bowl’s host city and surrounding areas are heavily represented at the game, regardless of whether or not a local team is playing. It’s likely that a significant number of football fans who live nearby take advantage of the rare opportunity to see a Super Bowl close to home. 

Super Bowl LVI in 2022, for example, was played at SoFi Stadium in Los Angeles, CA between the Cincinnati Bengals and the Los Angeles Rams. The event was heavily visited by fans from Southern California as the game was not only being played by the LA Rams, but also at their home stadium in Inglewood, CA. A greater contingent than previous years was also in attendance from Cincinnati, OH and its surrounding areas.  

A Family Affair

Many fans travel to the Super Bowl from the same regions every year, with the host city and the contending teams’ hometowns also providing significant factions of attendees. But analyzing Super Bowl crowds throughout the years also reveals an important demographic shift taking place among those traveling to the Super Bowl – the growing number of family-oriented visitors. 

Since 2019, the True Trade Areas of the Super Bowl stadiums include increasingly greater shares of larger families. Last year’s Super Bowl LVI had an in-person audience that reflected a trade area in which 17.9% of residents came from families of five or more, up from 11.9% at the Super Bowl three years prior. Conversely, Super Bowl attendees in 2022 reflected a trade area in which 37.7% of residents were part of two-person households, a decrease from 47.8% in 2019. 

The increase in attendees from areas with larger families could reflect the NFL’s initiatives to make football a more family-friendly sport, including rule and equipment changes aimed at increasing player safety and supporting youth football clubs. The trend towards an increase in attendees from larger families may also inform decisions about products to promote as well as amenities that will contribute to a family-friendly experience on game day.

Brands invest heavily in ads that air during the Super Bowl. But with the right insights, stadium advertising platforms have tremendous potential to reach target audiences in-person at the big game. While a large audience is part of the equation, in order to achieve maximum impact, an in-depth understanding of visitors is critical.

Article
McDonald's: "Adult Happy Meal" Sets a High Bar for QSR Promotions
R.J. Hottovy
Oct 14, 2022
1 minute

Key McDonald's Metrics

While focus and streamlined operations are key to restaurant growth strategies, we also continue to see evidence of the impact of innovation and nostalgia in driving visits. McDonald’s has had success with its past celebrity meal collaborations with Travis Scott and J Balvin, with our data indicating a mid-to-high teens lift in visits compared to the weeks prior to the promotion. However, McDonald’s "Adult Happy Meal" collaboration with streetwear brand Cactus Plant Flea Market might be its most successful collaboration today, with data suggesting more than a 30% increase in in-store visitation trends compared to the weeks leading up to the promotion (below). We’ve discussed the impact of limited-time offers (LTO) in the QSR space earlier this year, but McDonald’s has set a new bar for the industry (beating out Taco Bell’s Mexican Pizza launch in May).

Although QSR chains saw more resilient visitation trends than other restaurant categories for much of 2022, the gap between the QSR, fast casual, and full-service restaurant chains had narrowed in September as lower-income consumers continue to face inflationary headwinds from menu price hikes across the QSR space while higher-end consumers continue to dine out. Nevertheless, the impact of McDonald’s adult happy meal promotion is evident in not only the massive spike in visitation trends for the full QSR sector last week (below). While not everyone may love these promotions, they can be an extremely effective way to drive visitation growth.

Placer.ai Series C - Why Placer Raised $100M
Noam Ben Zvi, co-founder and CEO, explains how Placer will use the Series C funds to ramp up the velocity of development.
Noam Ben-Zvi
Jan 25, 2022
9 minutes

We, the founding team, always loved data - ideating around it, engineering with it, understanding the world better with it. 

But what captivated us most was imagining data products that can be used by tens of thousands of businesses across the world.

Among all the ideas and visions we bounced around before starting the company, one stood out for its simplicity and potential impact - building a ‘Physical Market Intelligence Platform’ to provide everyone in the offline world (a.k.a the ‘real world’) with aggregate insights for decision-making. Or in layman’s terms, “a dashboard to get instant insights for any place to understand its audience, surroundings, and competition”.

In 2016, the Placer founding team gathered in a basement and spent a weekend sketching out a plan to turn this idea into a massive world-class data company. 

Why did we get so excited?

  1. We loved using insight tools like SimilarWeb and App Annie that were made for the digital world.
  2. A massive market - 80-90% of spend is offline and is not going anywhere, anytime soon. We did not believe in the ‘retail apocalypse’ narrative.
  3. An industry ‘flying blind’ - this immense offline world has suffered from a lack of information critical to its decision-making.
  4. Data is especially critical for the physical world. The famous Facebook motto “move fast and break things” (which we practice at Placer) does not work well in the physical world. Brick & mortar decisions are costly and irreversible. It also takes a LONG time to understand you’ve made a mistake.
  5. Market Research is aggregated data - no need for any personal identifiable information (PII). This means we could build a privacy-first company, without PII data challenges.
  6. It’s a hard problem - which presents the opportunity to build something special. And in hindsight it’s been 10x harder than we thought!

Whiteboarding without customers or tech debt is fun!!!

The more paper we stuck to that basement wall, the bigger the vision became! Everything is possible with the stroke of a pen… 

But very quickly, we hit some glaring challenges:

  • The platform had to be about answering key business questions. But to generate the BEST reports that do so, there are 100s of relevant datasets that we MUST aggregate
  • The retail ecosystem is DIVERSE - retailers, CRE, CPG, travel, hotels, billboards are all unique worlds in and of themselves. Can we build a platform that reflects this? 
  • And…growing up in a “digital bubble” - the founding team knew VERY LITTLE about the retail world, its major players and how they work.

The best way to approach a big challenge is breaking it down into smaller ones. So we worked hard to define Phase 1 - focusing on building a product that (1) was centered around the mobile location analytics dataset and (2) generated reports tailored for CRE and retail

5 years and 5 funding rounds later, we’re FINALLY feeling “pretty good” about Phase 1: we launched a world-class mobile analytics product that’s used by over 1,000 customers, and thousands more are using our free products

But it’s also been “frustrating”  - we were always strapped for cash and resources. We’re yet to integrate most of the datasets we need; key reports for certain verticals remain in the product pipeline; and in terms of usability and workflow features, we still have a lot to do in order to create a truly comprehensive platform (vs “read only” status insights tool).

That’s why the $100M Series C funding we just announced is so momentous for me and the rest of the Placer team. It finally removes the shackles and equips us with the tools and materials we need for Phase 2 - rapidly building the full Placer.ai Market Intelligence Platform.

So let’s dive into what that means…

How does it work?

A Physical Market Intelligence Platform is a big data puzzle. Piecing it together - in a nutshell - consists of four phases:

  1. The Ingredients - identifying and assembling the data.
  2. Ingestion - processing and aggregating that information.
  3. Delivery - making it presentable and accessible.
  4. Customizations - every vertical is seemingly interested in very similar data, but with a different lens. This requires nuanced packaging around information density, terminology, order of reports, and 3rd party data-sets.
The Placer.ai Market Intelligence Platform
The Placer.ai Market Intelligence Platform

Ingredients

A vast amount of interconnected data is required to create a truly accurate and complete picture of what’s going on at a location. This data falls into two broad categories:

  • Point of interest (POI) data offering information on places such as a grocery store, retail centers and wider areas.
  • Geospatial data such as impactful events in the area, traffic data and future development projects.

Now consider all things you see going on in the world and imagine how POI and geospatial data can capture and quantify them…

Here’s a snippet:

We track dozens of data categories and thousands of datasets and vendors in order to identify new data that can help answer our customers’ questions.

  • Our product team draws on our customers’ feedback and wider market research to identify and triage the datasets we need to answer the questions. 
  • Our BD team lines up commercial partnerships with the data providers.
  • Our data analysts and scientists carry out a lengthy quality assessment process, which includes testing the data’s relevance, accuracy, data trust compliance, coverage, compatibility, recency, accessibility and alternatives.

This is 50% of our work and is a huge data challenge - but also great fun!

Among the real world visibility datasets

Through partnerships and our App Marketplace, we’ve recently integrated online reviews, credit card data, demographics, vehicle traffic volume, crime figures and planned construction into our platform. And we have lots more datasets in our pipeline: retail sales, property sales, financial data, leasing comparisons and climate data to name just a few.

Vehicle Traffic Volume
Crime
Planned Construction

Ingestion

If the data are the ingredients, then ingestion is the cooking. This includes complex data science processes:

  • Anonymization - eliminating personal identifiable information
  • Normalization - adapting the data’s various fields to fit Placer’s data model
  • Cleansing - ensuring that the data is as accurate and complete as possible
  • Enrichment - adding existing data layers to the ingested data, or extrapolating information from it
  • Tagging - associating the data with relevant POIs, industry categories, and so on to create meaningful insights.

Tagging data to POIs is a massive task. Placer’s POI database contains millions of entities: a commercial real estate asset in a customer’s portfolio; stores of a retailer’s chain or that hold a CPG brand’s products; a billboard used for out-of-home advertising; a downtown area being regenerated by a municipality or business improvement district. We geofence each one so data can be tagged to it.

But a much greater complexity than the volume of data-POI matching is the fact that our data structure is mutable - it changes. Stores, restaurants, strip malls and other POIs open, close, merge and move. Our physical environment is constantly changing. One of our platform’s standout attributes is that it always reflects historical change.

In practice, this means that, for each POI change, we not only adjust our data tagging but also re-tag 5 years of historical data to ensure any historical comparisons are “like with like”. This is a huge investment of resources on the part of our data science, devops and engineering teams - exponentially increasing our data management burden.

Delivery

To complete the cooking metaphor, after selecting ingredients (datasets) and cooking them (data ingestion), we then lay out a buffet-style feast of solutions for our users:

Basic Reports and Insights

The most basic level of the platform is converting the data into real-world constructs that can be understood by industry professionals: tables, charts, maps and other graphics displaying cross shopping, trade areas (below), cannibalization, risk analysis, visit frequency and so on.  

Solutions 

A key tenet of the Market Intelligence Platform is the approach that insights like those are often not the answer to the questions that our customers are looking for. Rather, they are just part of the explanation behind the answer. That means providing a comprehensive suite of Solutions SUPPORTED by insights, not just a library of uncontextualized insights. 

An excellent example of this is Void Analysis. A key question for retail real estate is “who is my ideal tenant?” While our platform offered important insights (such as retailers’ average monthly foot traffic and cannibalization) for reaching an answer, landlords were doing a lot of legwork. The Void Analysis tool we released late last year enables CRE professionals to instantly analyze thousands of potential tenants through automatically generated reports that include ranking according to our unique Relative Fit Score. This significantly improves the speed and scope of a search for new tenants.

Void Analysis - Who is the best fit for my vacancy?

We are now working on the many additional solutions like Void Analysis in our development pipeline - sales forecasting, site selection for retail chains, market selection, market change reports, product optimization for CPG to name a few.

Placer REST API

To be truly useful, solutions must also be delivered in a way that fits various users’ workflows. A dashboard is a good start, but a full platform must offer a range of access points. This means data feeds, REST APIs, and other methods of programmatic access.

We’ll also add to that a rich layer of data exploration tools such as GIS, templates, graph builders, pivot table functionality and advanced entity search. This will provide users with maximum flexibility in how they explore and visualize our data.

The lion’s share of the work is still ahead of us here - more widgets, third party integrations, report generators, scheduled intelligence reports and alerts, and much more.

COVID-19 Economic Recovery Dashboard

The platform’s user interface must be fully customized to fit the needs of its different user types across verticals AND within companies (business users, data scientists, data analysts, third party users). An example of how we’ve begun to do this is a portfolio overview section for CRE analysts to rapidly scan properties’ performance metrics. Another is our COVID-19 Recovery Dashboard, particularly used by civic organizations to assess the impact of the pandemic on local economic areas.

The Anchor: Placer's CRE Executive Intelligence Report

As we presented “just data”, we quickly realized some customers were looking for humans to add a “research layer” and context around the data. So an analytical research team has become part of the product. They capture and present key market intelligence, respond to the latest industry trends and customer interests. “The Anchor”, a weekly CRE executive intelligence report launched last September, has now become an inbox staple for many of our customers.

Let’s build it!

To our current understanding, we’re just “5%” of the way to our Market Intelligence Platform vision. The remaining 95% will be built by scaling POI coverage, datasets, answering more questions and developing the other core components of the platform.

So our focus now is on ramping up the velocity of this development. And to do that, we need even more of the world’s best talent across the company. 

So, during 2022, we will use our new capital to double the size of our engineering team and significantly expand the data at our disposal. In parallel, we will also channel more resources to supporting our customers and contributing to industry understanding through our analytical research department and educational content. 

Placer.ai is committed to transforming the way real-world businesses make decisions. And we don’t want to waste any time going about it.

Placer.ai Raises $100M Series C At A $1B Valuation To Accelerate Growth and Product Development
We're happy to announce the closing of a $100M Series C funding round at a $1B valuation.
Ofir Lemel
Jan 12, 2022
2 minutes

Round led by Josh Buckley with participation from WndrCo, Lachy Groom, MMC Technology Ventures LLC, Fifth Wall Ventures and JBV Capital.

LOS ALTOS, CA (January 12, 2021)--Placer.ai, the leader in location analytics and foot traffic data, announced today the closing of a $100M Series C funding round at a $1B valuation. The round was led by Josh Buckley with participation from WndrCo, Lachy Groom, MMC Technology Ventures LLC, Fifth Wall Ventures, JBV Capital, and Array Ventures. The round also included the participation of leading commercial real estate investors and operators, including J.M. Schapiro (Continental Realty Corp), Eliot Bencuya and Jeff Karsh (Tryperion Partners), Daniel Klein (Klein Enterprises/Sundeck Capital), Majestic Realty, and others. The funding will be used to expand the company’s R&D capabilities to further increase the pace of innovation.

“Placer experienced significant growth during 2021 as a consensus formed across the market that accurate, reliable consumer behavior analytics is indispensable to brick and mortar decision-making,” said Noam Ben-Zvi, CEO and Co-Founder of Placer.ai. “Yet, location analytics is just the foundation for a much broader and more comprehensive vision. With this funding, we will accelerate the development of the Placer.ai platform, adding an unprecedented range of new data sets - such as vehicle traffic, planned construction, web traffic, purchase data, and much more - as well as more advanced solutions to empower any professional with a stake in the physical world to make better decisions, faster than ever before. ”

Since launching in November 2018, Placer.ai has been adopted by over 1,000 customers including industry leaders in commercial real estate and retail like JLL, Regency Centers, Taubman, Planet Fitness, BJ’s Wholesale Club, and Grocery Outlet. In the wake of COVID-driven upheaval, the company saw widespread adoption among a series of new categories, among them hedge funds and CPG leaders including Tyson Foods and Reckitt Benckiser.

"Placer provides instant, simple and actionable insights to questions we've been asking as operators for over 30 years. The pace of innovation, the unique trust that the company has developed, and the massive market demand all point to the magnitude and scale of what this team can achieve,” said Jeffrey Katzenberg, Founding Partner of WndrCo.

"We have long felt like the disruption Placer can bring is massive, but the market demand has far exceeded our initial expectations," said Josh Buckley. “We see a powerful opportunity to continue partnering with Placer to improve the way decisions are made in the physical world, fundamentally improving the way these businesses and organizations operate."

Try Placer.ai for free here.

About Placer.ai:
Placer.ai is the most advanced foot traffic analytics platform allowing anyone with a stake in the physical world to instantly generate insights into any property for a deeper understanding of the factors that drive success. Placer.ai is the first platform that fully empowers professionals in retail, commercial real estate, hospitality, economic development, and more to truly understand and maximize their offline activities. Find more information here: https://placer.ai/

Placer.ai Raises $50M Series B To Expand Location Analytics Capabilities
Placer.ai Raises $50M Series B To Expand Location Analytics Capabilities
Ofir Lemel
Apr 27, 2021
3 minutes

Round led by Josh Buckley, Todd Goldberg and Rahul Vohra with participation from Fifth Wall, JBV Capital, and Aleph VC

LOS ALTOS, CA (April 27, 2021) --Placer.ai, the leader in location analytics and foot traffic data, announced today the close of a $50M Series B funding round. The round was led by Josh Buckley, Todd Goldberg and Rahul Vohra, with participation from Fifth Wall, JBV Capital and Aleph VC. The funding will be used to grow the company’s R&D, expand sales and marketing teams, introduce additional reports and data sets, and grow the recently announced marketplace.

Since launching in November 2019, Placer.ai has been adopted by over 500 customers including industry leaders in Commercial Real Estate and Retail like  JLL, Brixmor, Taubman, Planet Fitness, and Dollar General. Yet, the recent upheaval caused by COVID led to widespread adoption among a series of new categories including Hedge Funds and CPG leaders.

“As a business deeply rooted in offline retail, we expected COVID to present a unique challenge. Yet, adoption actually increased as a result of our ability to introduce certainty into such an uncertain environment. The result has been a clearer and deeper understanding by the market of the absolute imperative of location data to improve the decision-making process,” said Placer.ai CEO and Co-Founder Noam Ben-Zvi.

“But our current offering is just the beginning, and we are fully focused on expanding the capabilities both through the development of a range of new features and tools, and the integration of a wide range of data sets through our marketplace. Placer.ai is rapidly becoming the market intelligence platform for anyone with a stake in the physical world.”

In the last year, Placer.ai continued to expand its presence in core markets like Commercial Real Estate, Retail, Municipal governments, and Hospitality while advancing into new segments like CPG and Hedge Funds. The result has been growing market adoption and an increasingly large and diverse reach. 

"Fifth Wall has some of the largest owners and operators of real estate as our limited partners and several were customers of Placer.ai, giving us a unique perspective on the company’s growth and potential. We saw firsthand the impact that the data is already having in reimagining the way business is done in retail and real estate broadly,” said Kevin Campos, Partner on the Retail & Consumer Investment team at Fifth Wall. “Yet, what’s even more exciting is that we’re still only seeing a piece of the puzzle and know that there are so many other sectors where the data can be applied. We’re thrilled to help grow and execute this vision alongside this exceptional team.”

"Placer allows businesses that operate offline to make data-driven decisions, fundamentally improving the way they operate. This is the same type of tooling that online businesses have used to grow, moving from hunches to definitive answers," said Josh Buckley. “I'm excited to be partnering with the company's next phase of growth and product development."

“Our journey with Placer.ai started at the very beginning as one of the company's first beta customers. Seeing the disruptive power of the product up close, the speed at which the company developed new features, and the tremendous traction they achieved in the marketplace led us to invest less than a year later and in every round since," said Sandy Sigal, CEO of NewMark Merrill Companies, an owner and developer of over 80 shopping centers and Chairman of BrightStreet Ventures, their venture capital arm. "Several years later, the customer growth, their ongoing product development, and the continuing value they have brought to our organization has only deepened our conviction and makes continued support a no-brainer for us."

Learn more about Placer.ai.

Reports
INSIDER
Report
Office Attendance Drivers in 2026: The New Rules of Showing Up
Dive into the data to learn how convenience-driven behaviors are impacting the office recovery – and how stakeholders from employers to office owners and local retailers can best adapt.
February 5, 2026

Key Takeaways:

To optimize office utilization and surrounding activity in 2026, stakeholders should: 

1. Plan for continued, but slower, office recovery. Attendance continues to rise and has reached a post-pandemic high, but moderating growth suggests the return-to-office may progress at a more gradual and incremental pace than in prior years.

2. Account for growing seasonality in office staffing, local retail operations, and municipal services. As office visitation becomes increasingly concentrated in late spring and summer, offices, downtown retailers, and cities may need to plan for more predictable peaks and troughs by adjusting hours, staffing levels, and local services accordingly, rather than relying on annual averages.

3. Align leasing strategies with seasonal demand. Stronger attendance in Q2 and Q3 suggests these quarters are best suited for leasing activity, while softer Q1 and Q4 periods may be better used for renovations, repositioning, and targeted activation efforts designed to draw workers in.

4. Design hybrid policies around midweek anchor days. With Tuesdays and Wednesdays consistently driving the highest office attendance, employers can maximize collaboration and space utilization by concentrating meetings, programming, and in-office expectations midweek.

5. Reduce early-week commute friction to support attendance. Monday office attendance appears closely correlated with commute ease, suggesting that reliable and efficient transportation may be an important factor in early-week office recovery.

6. Prioritize proximity in leasing and development decisions. Visits from employees traveling less than five miles to work have increased steadily since 2019, reinforcing the value of centrally located offices and housing near employment hubs.

When Policy Isn’t Enough

2025 was the year of the return-to-office (RTO) mandate. Employers across industries – from Amazon to JPMorgan Chase –  instituted full-time on-site requirements and sought to rein in remote work. But the year also underscored the limits of policy. As employee pushback and enforcement challenges mounted, many organizations turned to quieter tactics such as “hybrid creep” to gradually expand in-office expectations without triggering outright resistance.

For employers seeking to boost attendance, as well as office owners, retailers, and cities looking to maximize today’s visitation patterns, understanding what actually drives employee behavior has become more critical than ever. This reports dives into the data to examine office visitation patterns in 2025 – and explore how structural factors such as weather, commute convenience, and workplace proximity have emerged as key differentiators shaping how and when, and how often workers come into the office. 

Office Attendance Reaches a New High, But Momentum Slows

National office visits rose 5.6% year over year in 2025, bringing attendance to just 31.7% below pre-pandemic levels and marking the highest point since COVID disrupted workplace routines. At the same time, the pace of growth slowed compared to 2024, signaling a possible transition into a steadier phase of recovery.

With new return-to-office mandates expected in 2026, and the balance of power quietly shifting towards employers, additional gains remain likely. But the trajectory suggested by the data points toward gradual progress rather than a return to the more rapid rebounds seen in 2023 or 2024. 

Weather, Workations, and a New Kind of Seasonality 

Before COVID, “I couldn’t come in, it was raining” would have sounded like a flimsy excuse to most bosses. But today, weather, travel, and individual scheduling are widely accepted reasons to stay home, reflecting a broader assumption that face time should flex around convenience.

This shift is visible in the growing seasonality of office visitation, which has intensified even as overall attendance continues to rise. In 2019, office life followed a relatively steady year-round cadence, with only modest quarterly variation after adjusting for the number of working days. In recent years, however, greater seasonality has emerged. Since 2024, Q1 and Q4 have consistently underperformed while Q2 and Q3 have posted meaningfully stronger attendance – a pattern that became even more pronounced in 2025. Winter weather disruptions, extended holiday travel, and the growing normalization of “workations” appear to be pulling some visits out of the colder, holiday-heavy months and concentrating them into late spring and summer.

For employers, office owners, downtown retailers, and city planners, this emerging seasonality matters. Staffing, operating budgets, and programming decisions increasingly need to account for predictable soft quarters and peak periods, making quarterly planning a more useful lens than annual averages. Leasing activity may also convert best in Q2 and Q3, when districts feel most active. Slower quarters, meanwhile, may be better suited for renovations, construction, or employer- and city-led programming designed to give workers a reason to show up.

The Quest for Convenience and the TGIF Workweek

The growing premium placed on convenience is also evident in the persistence of the TGIF workweek – and in the factors shaping its regional variability.

Before COVID, Mondays were typically the busiest day of the week, followed by relatively steady attendance through Thursday and a modest drop-off on Fridays. Today, Tuesdays and Wednesdays have firmly established themselves as the primary anchor days, while Mondays and Fridays see consistently lower activity. And notably, this pattern has remained essentially stable over the past three years – despite minor fluctuations – as workers continue to cluster their in-office time around the days that offer the most perceived value while preserving flexibility at the edges of the week.

Commute Friction Shaping the Start of the Week

At the same time, while the hybrid workweek remains firmly entrenched nationwide, its contours vary significantly across regions – and the data suggests that convenience is once again a key differentiator.

Across major markets, a clear pattern emerges: Cities with higher reliance on public transportation tend to see weaker Monday office attendance, while markets where more workers drive alone show stronger early-week presence. While industry mix and local office culture still matter, the data points to commute hassle as another factor potentially shaping Monday attendance. 

New York City, excluded from the chart below as a clear outlier, stands as the exception that proves the rule. Despite nearly half of local employees relying on public transportation (48.7% according to the Census 2024 (ACS)), the city’s extensive and deeply embedded transit system appears to reduce perceived friction. In 2025, Mondays accounted for 18.4% of weekly office visits in the city, even with heavy transit usage.

The contrast highlights an important nuance: Where transit is fast, frequent, and integrated into daily routines, it can support office recovery, offering a potential roadmap for other dense urban markets seeking to rebuild early-week momentum. 

Proximity as a Key Attendance Driver

Another powerful signal of today’s convenience-first mindset shows up in commute distances. Since 2019, the share of office visits generated by employees traveling less than five miles has steadily increased, largely at the expense of mid-distance commuters traveling 10 to 25 miles.

To be sure, this metric reflects total visits rather than unique visitors, so the shift may be driven by increased visit frequency among workers with shorter, simpler commutes rather than a change in where employees live overall. Still, the pattern is telling: Workers with shorter commutes appear more likely to generate repeat in-person visits, while longer and more complex commutes correspond with fewer trips. Over time, this dynamic could shape office leasing decisions, residential demand near employment centers – whether in urban cores or in nearby suburbs – and the geography of the workforce.

Friction in Focus 

Taken together, the data paints a clear picture of the modern return-to-office landscape. Attendance is rising, but behavior is no longer driven by mandates alone. Instead, workers are making rational, convenience-based decisions about when coming in is worth the effort.

For cities, the implication is straightforward: Ease of access matters. Investments in transit reliability, last-mile connectivity, and housing near employment centers can all play a meaningful role in shaping how consistently people show up. For employers, too, the lesson is that the path back to the office runs through convenience, not just compulsion, as attendance gains are increasingly driven by how effectively organizations reduce friction and increase the perceived value of being on-site.

INSIDER
Report
Five Ways Retailers Can Leverage AI Without Losing What Works
Read the report to learn how AI is changing store roles, operations, marketing, and fleet strategy – and how to apply it without undermining what already works.
January 29, 2026

Strategic Insights

1. AI is raising the bar for physical retail as shoppers arrive more informed, more intentional, and less tolerant of friction – though the impact varies by category and format.

2. As discovery shifts upstream, stores increasingly serve as confirmation rather than discovery points where shoppers validate decisions through hands-on experience and expert guidance.

3. AI-based tools can improve in-store performance by removing operational friction – shortening trips in efficiency-led formats and supporting deeper engagement in experience-led ones.

4. By embedding expertise directly into frontline workflows, AI helps retailers deliver consistent, high-quality service despite high turnover and limited training windows.

5. AI enables precise, location-specific marketing and execution, allowing retailers of any size to align assortments, staffing, and messaging with real local demand.

6. Retailers can also use AI to manage their store fleets with greater discipline and understand where to expand, where to avoid cannibalization, and where to rightsize based on observed demand rather than static assumptions.

7. AI is not a universal lever in physical retail; its value depends on the store format, and in discovery-driven models it should support operations behind the scenes rather than reshape the customer experience.

Another Inflection Point for Physical Retail?

Physical retail has faced repeated claims of obsolescence, from the rise of e-commerce to the shock of COVID. Each time, analysts predicted a structural decline in brick-and-mortar. And each time, physical retail adapted.

AI has triggered a similar round of predictions. Much of the current discussion frames retail’s future as a binary outcome: either stores become heavily automated, or e-commerce becomes so optimized that physical locations lose relevance altogether.

But past disruptions point in a different direction. E-commerce changed how physical retail operated by raising expectations for omnichannel integration, speed, and clarity of purpose. Retailers that adjusted store formats, merchandising, and operations accordingly went on to drive sustained growth.

AI likely represents another inflection point for physical retail. As shoppers arrive with more information, clearer intent, and even less tolerance for friction than in the age of "old-fashioned" e-commerce, physical stores will remain – but the standards they are held to continue to rise. 

This report presents four ways retailers are using AI to get – and stay – ahead as physical retail adapts to this next wave of disruption.

1. Driving Engagement & Conversion in Physical Retail

The Store as Confirmation Point

E-commerce moved discovery earlier in the shopping journey. Instead of beginning the process in-store, many shoppers now arrive at brick-and-mortar locations after having deeply researched products, comparing options, and narrowing choices online – entering the store to validate rather than initiate their purchasing decision. 

AI-powered shopping accelerates this pattern. Conversational assistants, recommendation engines, and AI-driven discovery across search and social reduce the time and effort required to evaluate options – and this shift is changing consumers' expectations around the in-store experience. 

Apple’s Early Bet on the Informed Consumer Pays Off

Apple shows what it looks like when a physical store is built for well-informed shoppers. Given the prevalence of AI-powered search and assistants in high-consideration categories like consumer electronics, Apple customers likely arrive at the Apple Store with more preferences already shaped by AI-assisted research than other retail categories.

Apple Stores were designed for this kind of customer long before AI became widespread. The layout puts working products directly in customers’ hands, merchandising emphasizes live use over promotional signage, and associates are trained to answer detailed technical questions rather than walk shoppers through basic options.

That alignment is showing up in store behavior. Even as AI-powered shopping expands, Apple Stores continue to see rising foot traffic and longer visits thanks to the store's specific and curated role in the customer journey – a place where customers confirm decisions through hands-on experience and expert guidance.

2. Creating Seamless In-Store Experiences 

AI Inside the Store

Some applications of AI extend trends that e-commerce has already introduced. Others address operational challenges that previously required manual coordination or tradeoffs.

AI can reduce friction and make store visits more predictable by improving staffing allocation, reducing checkout delays, optimizing inventory placement, and managing traffic flow. These changes reduce friction without altering the visible customer experience.

Using AI to Remove Exit Friction at Sam’s Club

Sam's Club offers a clear, recent example of AI solving a specific in-store bottleneck. For years, customers completed checkout only to face a second line at the exit, where an employee manually scanned paper receipts and spot-checked carts. 

In early 2024, Sam’s Club introduced computer vision-powered exit gates, allowing customers to exit the store without stopping as AI algorithms instantly captured images of the items in their carts and matched them against digital purchase data. Employees previously tasked with receipt checks could now shift their focus to member assistance and in-store support.

The impact was measurable. Sam’s Club reported that customers now exit stores 23% faster than under manual receipt checks, a result confirmed by a sustained nationwide decline in average dwell time. During the same period, in-store traffic increased 3.3% year-over-year – demonstrating how removing friction with AI can deliver tangible gains.

Aligning AI with Store Purpose

AI optimizes stores for different outcomes. At Sam’s Club, it shortens visits by removing friction from task-driven trips. At Apple, upstream research leads to longer visits focused on testing, questions, and decision validation. In both cases, AI aligns store execution with shopper intent – prioritizing speed and throughput in efficiency-led formats and deeper engagement in experience-led ones.

3. Scaling Expertise on the Sales Floor

Beyond shaping store roles and streamlining operations, AI can also address a long-standing challenge in physical retail: delivering consistent, high-quality expertise on the sales floor despite high turnover and seasonal staffing. In the past, retailers relied on heavy training investments that often failed to pay off. AI can now embed that expertise directly into frontline workflows, allowing associates to deliver confident, informed service regardless of tenure and strengthening the in-store experience at scale.

In May 2025, Lowe’s rolled out a major in-store AI enhancement called Mylow Companion, an AI-powered assistant that equips frontline staff with real-time, expert support on product details, home improvement projects, inventory, and customer questions.

Mylow Companion is embedded directly into associates’ handheld devices, delivering instant guidance through natural, conversational interactions, including voice-to-text. This enables even newly hired employees to provide confident, expert-level advice from day one, while helping experienced associates upsell and cross-sell more effectively. The tool complements Mylow, a customer-facing AI advisor launched the same year to help shoppers plan projects and discover the right products, leading to increased customer satisfaction.

While AI alone cannot solve demand challenges—especially amid macroeconomic pressure on large-ticket discretionary spending—early signals suggest it may still play a meaningful role. Location analytics indicate narrowing year-over-year visit gaps at Lowe’s post-deployment, pointing to a potentially improved in-store experience. And Home Depot’s recent announcement of agentic AI tools developed with Google Cloud suggests that these technologies are becoming table stakes in this category.

As more retailers roll out similar capabilities, those that moved earlier are better positioned to help set the bar – and benefit as the market adapts.

4. Reaching the Right Audience at the Right Moment

Beyond improving the in-store experience, AI also gives retailers a powerful way to drive foot traffic through precision marketing. By processing large volumes of behavioral, location, and timing data, AI can help retailers decide who to reach, when to engage them, where to activate, and what message or assortment will resonate – shifting marketing from broad seasonal pushes to campaigns grounded in local demand.

Target offers an early example of this approach before AI became widespread. Stores near college campuses have long tailored assortments and messaging around the academic calendar, especially during the back-to-school season. In August, these locations emphasize dorm essentials, compact storage, bedding, tech accessories, and affordable décor – supported by campaigns aimed at students and parents preparing for move-in. That localized approach has been effective in driving in-store traffic to Target stores near college campuses, with these venues seeing consistent visit spikes every August and outperforming the national average across multiple back-to-school seasons from 2023 to 2025.

AI makes local execution repeatable at scale. By analyzing visit patterns, past performance, and timing signals across thousands of locations, retailers can decide which products to promote, how to staff stores, and when to run campaigns at each location. Marketing, merchandising, and store operations then act on the same demand signals instead of separate assumptions.

Crucially, AI makes this level of localization accessible to retailers of all sizes. What once required the resources and institutional knowledge of a big-box giant can now be achieved through precision marketing and demand forecasting tools, allowing brands to adapt each store’s messaging, assortment, and execution to the unique rhythms of its community.

5. Building Smarter Store Fleets With AI

Beyond improving performance at individual stores, AI can also give retailers a clearer view of how their entire store fleet is working – and where it should grow, contract, or change. By analyzing foot traffic patterns, trade areas, customer overlap, and visit frequency across locations, AI helps retailers identify which sites are truly reaching their target audiences and which are underperforming relative to local demand. 

AI also plays a critical role in smarter expansion. Retailers can use it to identify markets and neighborhoods where demand is growing, customer overlap is low, and incremental visits are likely – reducing the risk of cannibalization when opening new stores. By modeling how shoppers move between existing locations, AI can flag when a proposed site will attract new customers versus simply shifting traffic from nearby stores, grounding expansion decisions in observed behavior rather than demographic proxies or intuition alone.

Equally important, AI helps retailers recognize when expansion no longer makes sense. By tracking total fleet traffic, visit growth, and trade-area saturation, retailers can assess whether new stores are adding net demand or diluting performance. The same signals can identify locations where demand has structurally declined, informing rightsizing decisions and store closures. In this way, AI supports a more disciplined approach to physical retail – one that treats the store fleet as a dynamic system to be optimized over time, rather than a footprint that only grows.

AI Won’t Matter Equally Across All Retail Formats

The impact of AI on physical retail will vary significantly by category and format. Not every successful store experience is built around efficiency, prediction, or pre-qualification. Retailers with clearly differentiated offline value don’t necessarily benefit from forcing AI into customer-facing experiences that dilute what makes their stores work.

“Treasure hunt” formats are a clear example. Off-price retailers like TJ Maxx, Marshalls, Ross, and Burlington continue to drive strong traffic by offering unpredictability, scarcity, and discovery that cannot be replicated – or meaningfully enhanced – through AI-driven search or recommendation. The appeal lies precisely in not knowing what you’ll find. For these retailers, heavy investment in AI-led personalization or pre-shopping guidance risks undermining the core experience rather than improving it.

Similar dynamics apply in other categories. Independent boutiques, vintage stores, resale shops, and certain specialty retailers succeed by offering curation, serendipity, and human taste rather than optimization. In these cases, AI may still play a role behind the scenes – supporting inventory planning, pricing, or site selection – but it should not reshape the customer-facing experience. AI is most valuable when it reinforces a retailer’s existing value proposition. Formats built around discovery, surprise, or experiential browsing should protect those strengths, even as other parts of the retail landscape move toward greater efficiency and intent-driven shopping.

Raising the Bar for Physical Retail

AI is forcing physical retail to evolve with intention. By creating a supportive environment for customers who arrive with made-up minds, removing friction inside the store, offering the best in-store services, and orchestrating demand with greater precision, retailers are adapting to the new world standards set by AI. All five strategies focus on aligning stores with shopper intent – what customers want, how the store supports it, and when the interaction happens.

The retailers that win in this next era won’t be the ones that use AI to simply automate what already exists. They’ll be the ones that use it to sharpen the role of physical retail – turning stores into places that help shoppers validate decisions, deliver value beyond convenience, and show up at exactly the right moment in a customer’s journey.

In the age of AI, physical retail wins by becoming more intentional – designed around informed shoppers, optimized for the right outcome in each format, and activated at moments when demand is real.

INSIDER
Report
10 Top Brands to Watch in 2026
Meet the ten retail and dining powerhouses, including H-E-B, Walmart, and Dave’s Hot Chicken, redefining success and winning consumer loyalty in 2026.
January 12, 2026

If 2025 proved anything, it’s that the American consumer hasn’t stopped spending – they’ve just become incredibly selective about who earns their dollar. As we look toward 2026, success isn't just about weathering headwinds; it's about identifying the specific operational levers that drive traffic.

We analyzed the data to identify ten retail and dining standouts (presented in no particular order) that are especially well-positioned for the year ahead. From grocery icons mastering hyper-authenticity to fitness challengers proving that low price doesn't mean low quality, these companies have demonstrated a powerful understanding of their audience and the operational agility to meet them where they are.

Here – in no particular order – are the brands setting the pace for 2026.

1. H-E-B 

When we pick retailers for our Ten Top list, there are some that rest on the edgier side and others that look fairly down the middle. Picking H-E-B, a grocer that has seen monthly visits up year over year (YoY) for all but one month since April of 2021, is clearly not one of the bolder claims. But consistent success shouldn’t preclude a retailer from receiving its well deserved kudos, and there are some unique reasons that H-E-B specifically needs to be included this year. 

H-E-B exemplifies the single most important trend in retail: the need for a brand to have authenticity and a clear reason for being. The retailer understands its audience, and as a result, it’s able to optimize its merchandising, promotions, and experience to best serve that loyal customer base. This pops in the data when we see the loyalty H-E-B commands, especially when compared to the grocery average.

In addition, the chain has also embraced adjacent innovation, leveraging its existing fleet by adding True Texas BBQ to a growing number of locations. The offering not only helps maximize the revenue potential of each visit, it taps into the core identity of the brand, further deepening customer connection and authenticity. The strategy also signals H-E-B’s understanding of emerging consumer behaviors – particularly the increase in shoppers turning to grocery stores for affordable, restaurant-quality lunches. And this combination of expanding revenue channels while heightening H-E-B’s uniqueness should also carry over into the value and impact of its retail media network.

In short, H-E-B has not only identified a critical route to success, it continues to embrace channels that widen revenue potential while doubling down on foundational strengths.

2. Michaels

In 2024, Michaels held nearly 32.0% of overall visit share among the top four retailers in the wider crafts and hobby space. By the second half of 2025, that number had skyrocketed to just over 40.0% – driven largely by the closures of key competitors JoAnn Fabrics and Party City.

And it isn’t just that the removal of competitors is increasing the share of overall visits; the rate of capture appears to be accelerating. In Q2 2025, visits rose 7.3% YoY as Michaels began absorbing traffic from Party City, which closed the bulk of its locations by March. Growth strengthened further in Q3, with visits up 13.1% YoY following the completion of JoAnn’s shutdown in May. But during the all-important Q4, traffic surged even higher YoY, suggesting that  that consolidation alone doesn’t fully explain the gains.

While the tailwinds of competitor closures clearly help, there are other strategies that are helping the retailer maximize this wave. Whether it be NFL partnerships to boost the retailer’s Sunday role in American households, a push into the framing space with 10-minute custom framing, the addition of JoAnn’s branded merchandise to its offerings, or even a challenge to Etsy’s online dominance with a new marketplace – Michaels is making moves to take full advantage of their improved positioning. There is also an argument to be made that Michaels is the retailer best poised to benefit from the segment’s consolidation, given that it is also the most oriented to a higher income consumer among top players in the category. This could help unlock other more focused concepts and promotions, and better align with an audience now looking for a retail replacement.

3. Walmart

Walmart is the dominant player in physical retail. 

And they leverage this position to push forward new offerings that extend revenue potential while maximizing per-store impact. They are a pioneer in the retail media space and have been using their unique reach to push that side of the business forward. Add to that the fact that they have been among the savviest players in all of retail in identifying the ideal approach to omnichannel, utilizing their massive physical footprint to improve their reach via BOPIS and store-fulfilled e-commerce.

All good reasons for inclusion, right?

But, here’s the kicker - from a pure visit perspective, things are going from good to better. Between January and September 2025, Walmart visits were essentially flat year over year – a good position for a retailer with such a massive reach and such strength shown in recent years. Yet, since October, visits have actually been on the rise, with Q4 2025 showing a 2.5% YoY traffic increase and several weeks exceeding 4.0% YoY.  

A retail giant with even more potential growth than we might have expected – and one that’s pushing the very strategies we believe are the key to future success? That’s certainly a reason for inclusion.

4. Dillard’s

Including a department store again on this year’s list? It seems counterintuitive to many of the narratives that ran through 2025, especially as middle-class consumers continue to be squeezed financially. However, Dillard’s still appears to be an exception to the rule, with performance more closely aligned to that of luxury department store brands like Bloomingdales & Nordstrom than to its true competitive set. 

In 2025, visitation to Dillard’s was essentially flat YoY – though the chain has consistently outperformed the wider department store category. Dillard’s stands at a unique point somewhere between a mid-tier and luxury department store, and that distinction may be its secret to success. The retailer continues to wow with strong private label offerings that rival and often exceed national brands, a diverse merchandise mix, and locations that often benefit from indoor mall traffic trends.

While Dillard’s lags behind the wider department store category, for example, in terms of repeat visitation and the share of wealthy visitors, these factors may actually create an advantage. Efforts by Dillard's to refresh its product mix through limited-edition capsule collections and new brand launches may be helping it attract a steady inflow of economically diverse new shoppers. And the ability to continually win over new segments without alienating a “core customer” could be a strength amid economic headwinds and waning consumer sentiment. 

At the same time, a more diverse visitor profile means that Dillard’s can truly be the department store for many consumers, with a product range that strikes a chord with different shopper segments. 

Department stores truly aren’t dead, and those who have found their reason to exist continue to garner attention with shoppers.

5. POP MART

If the retail industry had a symbol for 2025, it was probably Labubu. The toy-and-collectible-turned–bag charm took consumers by storm in the second quarter of the year, and POP MART – the retailer responsible for bringing Labubus stateside – quickly became an overnight sensation. Visits to the chain surged over the summer at the height of the craze, while trade areas expanded as customers traveled significant distances to get their hands on a doll. 

And although the frenzy cooled somewhat in early fall, visits to POP MART locations like the one in Tulalip, WA began trending upward once again in November 2025 as the holiday season approached, surging even higher in December. Trade area size also increased dramatically during the holiday shopping period, as consumers rushed to get their hands on the chain’s coveted line of festive blind boxes.

As demonstrated by the recent Starbucks Bearista craze, consumers are all-in on cool collectible items that make life more fun – a trend POP MART, strategically located in high-traffic malls popular with younger shoppers, is uniquely positioned to ride. During times of economic uncertainty, consumers crave small ways to indulge, and affordable collectibles that are cute, cuddly, and fun have worked their way into the American zeitgeist.

So, what is next for POP MART? Can it continue to sustain its momentum? It seems likely that Labubus are here to stay, at least for a little while longer, before the retailer hopefully strikes it big with the next “must have”.

6. 7 Brew 

When all is said and done, 2021-2025 will likely be viewed as a pivotal turning point for the U.S. coffee industry. As the country recovered from the pandemic, consumer interaction with coffee brands fundamentally shifted. With more employees working from home – bypassing the traditional pre-work coffee run – visit trends migrated to later in the morning and afternoon. Meanwhile, industry-wide dwell times shortened as consumers renewed their focus on convenience.

This move away from the sit-down café experience placed significant pressure on industry leaders, accelerating the shift toward drive-thru and mobile order-and-pay options. This moment of friction also created space for drive-thru-centric challengers like Dutch Bros, which rapidly expanded on the strength of speed and menu innovation. 

Among these challengers, 7 Brew stands out as a fast-rising powerhouse heading into 2026. Expanding outward from its Arkansas roots, 7 Brew has been strategic about market entry and site selection for its unique double-drive-thru format. And with a concept that resonates with younger demographics and a footprint adaptable to various geographies, the coffee chain has become a go-to destination for rural and small-town communities, while also maintaining solid reach among more traditional coffee segments like wealthy suburbanites and urban singles. Thanks in part to this broad appeal, 7 Brew is well-positioned for future growth, even as it faces stiffer competition in new markets.

7. Dave's Hot Chicken

It is no secret that most of the growth in the QSR space over the past two decades has been driven by chicken concepts. Chick-fil-A, rising from a regional chain to a national player throughout the late 1990s and 2000s, was the first to disrupt the burger’s stranglehold on QSR. Raising Cane’s followed in the 2010s with a model built on menu simplicity and operational excellence, earning its place as one of the largest chains in the category. More recently, hot chicken has emerged as one of the fastest-growing segments – and Dave’s Hot Chicken is leading the charge. 

No single factor accounts for Dave’s growth from a lone unit in Los Angeles to over 350 units today. Certainly, a wide assortment of sauces and flavor profiles has resonated with U.S. consumers who are increasingly seeking spicier products, while Dave’s 'rebel' brand positioning has successfully attracted  younger audiences. And at a time when many QSR and fast-casual chains are abandoning urban locations in favor of suburban markets, Dave’s Hot Chicken continues to open predominantly in urban settings – a strategy that may prove advantageous as migration patterns shift back toward major cities this year.

With so much of the industry’s expansion driven by chicken concepts, it is natural to ask: Have we reached 'peak chicken'? While we are certainly seeing other categories gain traction – think CAVA – Dave’s unique product mix and edgier marketing should help it stand out, even amidst increased competition.

8. HomeGoods & Homesense

While many discretionary retail categories – including consumer electronics, sporting goods, home improvement, and furniture – are still waiting for post-pandemic demand to recover, housewares retailers have generally enjoyed solid visit trends in 2025. Although consumers may not be financially positioned for large-scale remodels, we are now five years past the pandemic, and many residents (many of whom still work from home) are looking to refresh their living spaces. 

It may therefore come as no surprise that TJX Companies’ HomeGoods and Homesense brands had an exceptional 2025 and are well-positioned to repeat this success in 2026. 

This year, we observed a behavioral shift among middle-income consumers, including a clear “trade down” from mid-tier department stores and other discretionary categories. In addition, accumulated housing wear-and-tear, the recent bankruptcies of value-oriented competitors such as Conn’s and At Home, and the enduring appeal of the treasure hunt retail model, have all reinforced the brands’ momentum. Taken together, these trends leave HomeGoods and Homesense poised for both continued unit growth and increased traffic in the year ahead.

9. EōS Fitness

With the heightened emphasis on health and wellness post-pandemic, fitness is proving to be a category with remarkable staying power well beyond New Year’s resolution season – even in an era of macroeconomic uncertainty. Whether it’s pumping iron, hitting the treadmill, or joining fitness classes, staying healthy no longer requires breaking the bank – for just a dollar a day or less, gymgoers can build strength and endurance, achieve their rep goals, and hit their mileage targets. And affordable fitness chains – those that charge less than $30 per month – are reaping the benefits, outperforming more expensive gyms for YoY visit growth.

Among this value-oriented fitness cohort, EōS saw outsized traffic growth in 2025, with both overall visits and average visits per location outpacing competitors as the chain expands its footprint. EōS’s motto, “High Value, Low Price,” appears to be resonating strongly – especially in a year when similar value propositions are driving momentum across off-price retailers, value grocers, and dollar stores. Longer-than-average dwell times at EōS provide another encouraging signal, suggesting that its amenities, including pools, saunas, basketball courts, and equipment assortments typically found in higher-priced gyms, are truly connecting with visitors. And since visitors who stay longer are more likely to return – and to renew their memberships – EōS is well-positioned to convert this year’s traffic gains into lasting market share.

10. Chuck E. Cheese

Eating and entertainment are a match made in heaven — and by leaning into a subscription model that meets price-sensitive customers where they are, Chuck E. Cheese has solidified its position as a standout in the eatertainment category.

Nearly 50 years old, this evergreen children’s entertainment concept has stood the test of time and now boasts roughly 500 venues nationwide. Its perennial tagline – “where a kid can be a kid” – still resonates with today’s children and with the parents who grew up with the brand. After languishing for several years in the wake of COVID, the company turned things around with a revamped Summer Fun Pass launched on April 30th, 2024. The offer of unlimited play per month sparked a dramatic boost in customer loyalty, and the model proved so successful that the company extended it year-round with a family pass as low as $7.99 per month.

This strategy has helped sustain visit growth throughout 2025. Despite closing several locations during the year, visits to Chuck E. Cheese rose 8.3% YoY – well above the flat eatertainment average. And the company’s loyalty rates outpaced last year from August through November, indicating that the offering isn’t losing steam and that customers continue to respond enthusiastically.

Retail’s Next Chapter

The diversity of brands featured in this report highlights that there is no single path to success in 2026.

H-E-B and Chuck E. Cheese demonstrate the power of deepening loyalty through authentic experiences and value-driven memberships. Michaels and HomeGoods show how savvy retailers can capitalize on competitor consolidation and changing consumer spending habits. Meanwhile, Walmart and 7 Brew prove that even in saturated markets, operational innovation can drive fresh momentum.

As we move deeper into 2026, the brands that win will be those that, like the ten profiled here, combine a clear understanding of their unique value proposition with the agility to execute on it.

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