.svg)
Darden Restaurants (NYSE: DRI) latest foot traffic provides an under-the-hood look at how the dining operator is navigating shifting consumer behavior, portfolio dynamics, and expansion in a challenging environment. In its most recent quarterly earnings, management reported sales of $2.9 billion, up 6% year over year, and adjusted EPS of $2.03, topping analyst expectations.
Following several months of slower traffic, Q2 2025 visits to all Darden concepts rose 2.4% YoY, with same-store visits climbing 1.1%. Monthly visit data also showed consistent upward growth, with strong gains in May (4.6%) and August (4.3%). And even slight visit dips in June were quickly followed by renewed growth, underscoring the company's resilience.
Some of this growth may be tied to Darden’s steady unit expansion, including its recent acquisition of Tex-Mex chain Chuy’s. But the increase in same-store visits shows that growth isn't just from new locations – existing restaurants are also attracting more diners, underscoring the strength and resilience of the company's portfolio.
Olive Garden and LongHorn Steakhouse are by far the two largest chains in Darden’s portfolio, and both enjoyed solid visit growth over the period, as shown in the chart below. The standout, however, was Yard House, which posted a 6.2% increase in overall visits alongside a 4.3% gain in same-store visits in Q2 2025.
Yard House attracts a more affluent customer base with a trade area median household income of $82.6K compared to $69.0K to $70.1K for LongHorn and Olive Garden, respectively. This higher income profile may be making Yard House visitors less vulnerable to current consumer headwinds and helping boost the chain's traffic. Yet the continued strength of Olive Garden and LongHorn – despite their lower-income trade areas – underscores the resilience of these brands and shows how their broad appeal allows them to thrive even in more cost-sensitive markets.
Meanwhile, Cheddar’s Scratch Kitchen, Darden’s third-largest concept, maintained visits largely in line with 2024 levels, showing stability but not the same growth momentum as other Darden brands. As the chain with the lowest-income customer base – Cheddar's draws from trade areas with a median household income of just $64.0K – its softer trajectory likely reflects greater budget constraints among its diners. Still, its steadiness underscores Darden’s success in cultivating concepts that resonate across the income spectrum: Yard House is thriving with more affluent guests, Olive Garden and LongHorn are performing strongly among middle-income households, and Cheddar’s continues to hold its ground with more cost-sensitive customers. Together, these dynamics show how Darden’s brands remain relevant to a broad swath of diners even in a challenging economic climate.
More than half (51.1%) of all Darden visits in H1 2025 went to Olive Garden, making it the company's top traffic driver. But the company is still expanding its existing brands, with LongHorn and Olive Garden leading new location openings.
The map below highlights the brand – Olive Garden or LongHorn – that experienced the greatest YoY visit growth in each state in Q2 2025. This map reveals that LongHorn beat out Olive Garden in terms of YoY growth on most of the East Coast as well as in California and parts of the Midwest and Southeast – suggesting that the brand is capturing share in densely populated coastal markets. So while Olive Garden continues to anchor the business with sheer volume, LongHorn seems to be driving much of the incremental growth, giving Darden two powerful engines for expanding and solidifying its hold on the casual dining segment across the country.
Darden's recent traffic data reveal resilience in the face of a wider slow down in consumer dining trends, powered by a mix of steady performance and faster growth from its four largest brands. Continued unit expansion, alongside the recent addition of Chuy’s, should further broaden its reach while diversifying its customer base.
For up-to-date consumer dining trends, check out Placer.ai’s free tools.
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
U.S. consumer activity looked relatively stable in the first half of 2025, with year-over-year (YoY) retail and dining traffic (shown in the chart below) staying mostly positive or flat through May – aside from February, when extreme cold and leap year comparisons drove declines.
But momentum shifted in June, when both categories slipped into negative territory, and the softness persisted in July before worsening in August. The late-summer weakness suggests that what began as a temporary cooling may now be evolving into a broader consumer slowdown.
Looking at state-level data reveals that the pullback is not isolated to a few regions. Western states such as Idaho and Utah – where H1 2025 dining traffic rose 2.1% and 2.4% YoY, respectively – flattened out, with visits in July and August down 0.2% and 0.1%, respectively. And states that had already experienced flat visits or dining softness in H1 2025 saw their visit gaps grow further: YoY dining traffic in New York State declined from -1.2% to -2.3%, while California saw its visits swing from +0.3% in H1 2025 to -2.0% in July and August 2025. Only in Vermont and Rhode Island did YoY dining visits actually increase over the summer.
Statewide retail traffic trends also point to broad-based declines in consumer activity, as visits to retail chains nationwide fell compared to July-August 2024 – even in regions such as the Pacific Northwest and the Southwest that had experienced high consumer resilience in H1 2025. Vermont, joined this time by Delaware, once again stood out as an outlier.
A key driver of the slowdown is the widening gap between higher- and lower-income households. While wealthier consumers have continued to prop up overall spending, middle- and lower-income groups are scaling back. Even among high earners, international summer travel may have drawn dollars away from U.S. retail and dining, softening domestic foot traffic during the analyzed period. This dynamic highlights the risks of relying too heavily on affluent households to sustain consumer activity.
Tariffs have added another layer of complexity. Earlier in the year, many consumers rushed to make purchases ahead of anticipated price hikes. Now, the lingering financial impact of those spring splurges may still be weighing on budgets.
Looking ahead to the holiday season, discretionary fatigue looms large. Spending is expected to slow, led by a sharper cutback from Gen Z. Budget-conscious households may already be tightening their belts in preparation for holiday expenses, further dampening retail and dining performance.
For more data-driven consumer insights, visit placer.ai/anchor.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more.
.avif)
With summer just behind us, we dove into the data to see how office visitation fared in August 2025. Did July’s impressive recovery momentum hold, or did seasonal factors slow the pace?
Visits to the Placer.ai Nationwide Office Building Index registered a 34.3% decline in August 2025 compared to the same period in 2019 – a wider gap than that seen in August 2023, and an even more notable retreat from July's encouraging 21.8% deficit.
However, this apparent setback is largely due to calendar differences: August 2025 had only 21 working days, compared to 22 in both August 2024 and 2019, and 23 in August 2023. When normalized for average visits per workday, August 2025 actually outperformed August 2023.
Seasonal dynamics also likely played a crucial role. August represents peak vacation season, and just as employees often embrace remote work on Fridays to extend weekends, they likely embrace similar flexibility during the peak summer travel season. Organizations may also relax in-office requirements when substantial portions of their workforce are taking time off.
So rather than signaling a genuine return-to-office (RTO) reversal, August's softer performance likely reflects the intersection of compressed work calendars and seasonal vacation patterns, with the underlying recovery trajectory remaining fundamentally intact.
The August effect impacted major markets nationwide, including New York and Miami – both of which achieved full recovery in July yet posted year-over-six-year gaps in excess of 10.0% last month. But while gaps widened across most markets, San Francisco once again avoided last place, ranking ahead of Chicago in post-pandemic office recovery metrics. Despite still facing below-average office attendance relative to 2019 levels, the Bay Area market’s renewed momentum – bolstered by increased AI-sector leasing activity – continues drawing employees back to offices even amid summer distractions.
San Francisco also ranked among August's year-over-year (YoY) office visit recovery leaders, providing further evidence of the city’s robust recovery momentum. But it was Chicago that claimed the top spot with a 12.5% year-over-year (YoY) gain – encouraging progress for the Windy City, though it remains to be seen whether this signals the beginning of a lasting turnaround.
Meanwhile, Boston also exceeded the nationwide year-over-year average of 2.9% with a 3.1% increase, while Washington, D.C. lagged behind with a YoY decline of 3.9%.
As we noted in July, the office recovery path is anything but linear. Months of significant progress are often followed by more sluggish periods – and August 2025 exemplifies how seasonality and calendar differences can obscure underlying trends.
Will September 2025 set a new RTO record as kids return to school and employees refocus?
Follow 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
Following modest gains to the Placer.ai Industrial Index in June and July, foot traffic to U.S. manufacturing facilities fell 5.6% year over year in August 2025. So even as order books improved in July, operators seem to have scaled back in-plant activity and nonessential visits to navigate cost and policy uncertainty.
Several national and regional gauges underscore the divergence in August. S&P Global’s Manufacturing PMI jumped to 53.0, its highest since May 2022, as firms built inventory amid worries over prices and supply constraints. Meanwhile, ISM's Production Index fell to 47.8% – 3.6 percentage points lower than July's 51.4% – pointing to weaker factory output, and demand for industrial space has fallen recently for the first time in 15 years. The Philadelphia Fed’s August 2025 Manufacturing Business Outlook Survey also showed a decline in general activity as new orders dipped back into negative territory.
Together, these mixed signals mirror Placer.ai's foot-traffic trends: Underlying demand is stabilizing, but managers remain cautious with on-site labor and vendor engagement, with macro uncertainty continuing to translate into swings in on-the-ground activity. Looking ahead, September will reveal whether greater policy clarity and easing cost pressures can help stabilize factory visits after a turbulent summer.
For more data-driven insights, visit placer.ai/anchor.
The same macroeconomic forces pressuring other retail sectors are fueling demand for auto parts: With the U.S. light vehicle fleet now averaging 12.8 years – up from 11.6 in 2019 – and many households delaying new car purchases, aftermarket maintenance has become more essential than ever. And while discretionary upgrades may be postponed, core failure and replacement parts continue to see robust demand. Though tariff-related uncertainty continues to loom, leading retailers report they have managed the impact effectively so far.
Against this backdrop, we dove into the data to check in with AutoZone, O’Reilly Auto Parts, and Advance Auto Parts. How did they fare in Q2 2025? And what awaits them the rest of the year?
AutoZone, the sector's largest chain, continues to expand while growing its customer base. Over the past six years, AutoZone has steadily increased its store count, leaning into growing demand without diluting location-level traffic. Year over year (YoY) too, the chain saw significant visit growth between March and May 2025 – and while June showed some softening, July and August visits remained essentially flat versus 2024, demonstrating stability during the chain’s busy summer maintenance season.
This robust foot traffic performance aligns with the company's recent financials. In its last reporting period (ending May 10, 2025), AutoZone posted a solid 5.0% year-over-year increase in U.S. comparable sales. Commercial performance was especially strong – Do-It-For-Me (DIFM) sales jumped 10.7%, while DIY sales grew 3.0% YoY. And management emphasized that tariff-related impacts have been minimal so far.
O'Reilly Auto Parts is also executing on an impressive expansion strategy. In Q2 2025, overall visits to O’Reilly climbed 4.6% YoY, with same store visits up 3.0%. Compared to 2019, both total and per-location foot traffic has steadily increased, demonstrating the company’s success in combining aggressive growth with operational efficiency.
And in its last reporting quarter, the company posted a 4.1% increase in comparable store sales, with robust performance across both DIY and professional channels. Total sales revenue reached a record $4.53 billion – a 6.0% increase versus last year. The company also noted a modest pricing lift tied to tariffs but emphasized that overall demand trends remain strong.
Advance Auto Parts, for its part, is restructuring to compete more effectively. During the quarter ending July 12th, 2025, net sales fell 7.7% year-over-year, partly due to planned store closures. Still, signs of stabilization are emerging: Comparable-store sales edged up 0.1%, indicating that core demand remains healthy.
And recent foot traffic provides further evidence that the company’s rightsizing strategy is beginning to bear fruit. Same-store traffic declines were narrower than the chain’s overall visit gap – just -1.5% YoY in July and -2.4% in August – suggesting that consolidation is helping shore up performance at remaining locations. At the same time, Advance is modernizing its supply chain to accelerate deliveries and strengthen its DIFM offerings – which, as with its peers, serves as a critical growth anchor for the chain. While it remains to be seen if these moves will drive sustained recovery amid shifting tariff pressures, Advance has restored profitability while implementing its strategic turnaround.
The auto parts sector remains robust, driven by an aging vehicle fleet and delayed new car purchases. And though tariff uncertainty remains, AutoZone, O’Reilly, and Advance are thus far navigating the new cost environment without major disruption. As 2025 unfolds, the second half of the year will show whether higher new-car prices push more consumers into aftermarket maintenance – and how customers, particularly in the DIY segment, respond if retailers need to pass through additional price increases.
For the most up-to-date retail visit data, check out Placer.ai's free tools.
Placer.ai leverages a panel of tens of millions of devices and utilizes machine learning to make estimations for visits to locations across the US. The data is trusted by thousands of industry leaders who leverage Placer.ai for insights into foot traffic, demographic breakdowns, retail sale predictions, migration trends, site selection, and more
This year has posed challenges for limited-service dining chains as inflation and higher prices continued to weigh on consumer traffic. We analyzed visitation trends in 2025 so far across major segments to better understand which categories are holding up – and which may need to adjust strategies.
This year brought significant challenges for the limited-service dining industry, as persistent price increases kept many would-be diners at home. Even industry giants like McDonald’s reported declines in same-store sales as lower- and middle-income consumers pulled back spending. Yet several categories, including the ever-impressive chicken segment, managed to buck the trend.
The chart below highlights the differences in YoY foot traffic for major limited service dining concepts in H1 2025. Pizza, burger, and sandwich chains experienced declines, while coffee, chicken, and Mexican-inspired concepts emerged as the growth drivers in terms of overall visit increases.
These segments were likely aided by aggressive unit expansion and consumer preferences shifting toward more affordable, customizable, and protein-forward options. Coffee continues to hold steady as a daily staple, while chicken and Mexican-inspired operators are capturing demand for protein-forward and customizable formats.
However, per-location data tempers this growth narrative. Visits per store declined across every major category – even those with overall visit increases – indicating that expansion may be outpacing underlying demand and pushing the segment toward potential oversaturation.
Recent summer data underscores the cautionary signals. Year-over-year traffic growth for coffee, chicken, and Mexican-inspired concepts was weaker in July than in the first half of the year. By August, declines had spread across nearly every category – with chicken chains in particular seeing a dip in traffic and an even steeper drop in average visits per location – leaving coffee as the only segment to sustain growth.
This broader slowdown in limited-service dining, combined with persistent economic uncertainty, suggests that consumers may be scaling back restaurant spending – even in categories traditionally viewed as more budget-friendly.
While 2025 has been marked by volatility, the underlying consumer appetite for convenient, protein-forward, and customizable dining is helping some limited-service segments stay ahead of the pack. Still, visit per location data suggests that expansion plans may need to be put on ice for the next few quarters.
Instead, operators that focus on menu innovation, building loyalty, and driving higher output per store stand to capture demand when economic pressures ease. As confidence rebounds, concepts that have expanded strategically may be especially well positioned to benefit from renewed consumer traffic.
For the most up-to-date dining data, check out Placer.ai’s free tools.
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.
Sports leagues like the NBA, NFL, and MLB boast billion-dollar revenues – and the venues where these games unfold hold significant commercial potential in their own rights. Many stadiums host concerts and other shows in addition to regularly held sporting matches and can accommodate tens of thousands of spectators at once – creating massive retail, dining, and advertisement opportunities.
This white paper analyzes location intelligence metrics for some of the biggest stadiums across the country to reveal the commercial potential of these venues beyond simple ticketing revenue. Where do visitors of various stadiums like to shop? Do specific sporting and cultural events impact the nearby restaurant scene differently? How can stadium operators, local businesses, and advertisers tailor their offerings to a stadium’s particular audience and make the most of the stadium and the space throughout the year?
We take a closer look below.
The three major sports leagues – the National Basketball League (NBA), Major League Baseball (MLB), and the National Football League (NFL) – play at different points of the year, and the number of games each league holds during the season also varies.
MLB leads in game frequency, with each team playing 162 games during the regular season, which runs approximately from April through September. Basketball season is also around six months – roughly from mid-October to mid-April – but each NBA team plays only 82 games a season. And the NFL has both the shortest season – 18 weeks running from early September to early January (with the pre-season starting in August) – and the fewest number of matches per team. Understanding the monthly visitation patterns for the various types of stadiums can help advertisers, stadium operators, and other stakeholders ensure that they are leveraging the full potential of the venue throughout the year.
Unsurprisingly, the sports arenas serving the different leagues see visit spikes during their leagues’ respective season. But comparing visit numbers throughout the year to the average monthly visit numbers for each category in 2023 reveals that the relative visit increases and decreases during the on- and off-season vary for each type of stadium.
MLB stadiums display the steadiest visit strength during the on-season – perhaps due to MLB’s packed game schedule. MLB tickets also tend to be relatively affordable compared to tickets to pro football or basketball matches, which may also contribute to MLB’s consistently strong visit numbers throughout the season. During the MLB off-season, baseball fields – which tend to be uncovered – are relatively empty.
The seasonal visit spike to NBA arenas is less steady. The beginning and end of the season see strong peaks, and visits slow down slightly during the mid-season months of January and February. Visits then drop during the off-season spring and summer, but the off-season visit dip is not as low as it is for MLB fields – perhaps because the NBA arenas’ indoor nature make them suitable locations for concerts and other non-basketball events.
Meanwhile, NFL stadiums see the least dramatic drop in visits during the NFL off-season, as these venues’ enormous size also make them the ideal location for concerts and other cultural events that draw large crowds. These arenas’ strong almost year-round visitation numbers mean that sponsors and advertisers looking to expand beyond sports fans to reach a diverse audience may have the most success with these venues.
Although MLB offers the most budget-friendly outing, combining STI: Popstats demographic metrics with trade area data reveals that MLB stadium visitors reside in higher-income areas when compared with visitors to NBA or NFL stadiums.
Baseball fans tend to be older than fans of the other sports, which could partially explain MLB stadium visitors’ higher household income (HHI). The combination of lower ticket prices, higher median HHI among fans, and many games per season offers baseball stadiums significant opportunities to engage effectively with their fan bases.
But while NBA and NFL stadium attendees may not come from as high-income areas as do MLB stadium visitors, fans of live basketball and football still reside in trade areas with a higher HHI compared to the nationwide median. So by leveraging stadium space, advertisers and other stakeholders can reach tens of thousands of relatively high-income consumers easily and effectively.
Sports fans are known to be passionate, engaged, and willing to spend money on their team – but stadium visitors also shop for non-sports related goods and services. Retailers and advertisers can draw on location analytics to uncover the consumer preferences of stadium visitors and tailor campaigns, sponsorships, and collaborations accordingly.
Visitation data to the top five most visited MLB stadiums during 2023 showed differences between the apparel and sporting goods shopping preferences of the various stadiums’ attendees. While 39.4% of visitors to Truist Park also visited DICK’s in 2023, only 30.8% of Yankee Stadium visitors stopped by the sporting goods retailer in the same period. Similarly, while 29.9% of visitors to Yankee Stadium frequented Kohl’s, that percentage jumped to 47.3% for Busch Stadium visitors.
Harnessing location intelligence to see the consumer preferences of a stadium’s visitor base can help retailers, stadium operators, and even team managers choose partnerships and merchandising agreements that will yield the most effective results.
Sports and snacks go hand in hand – what would a baseball game be without a hot dog or peanuts? But while every stadium likely provides a similar core of traditional game day eats, each venue also offers a unique set of dining options, both on- and off-premise. And by leveraging location analytics to gain visibility into stadium-goers dining habits, stadium operators and local food businesses can understand how to best serve each arena’s audience.
Mapping where stadium visitors dine before and after games can help stakeholders in the stadium industry reach more fans.
The chart below shows the share of visitors coming to a stadium from a dining venue (on the x-axis) or going to a dining venue after visiting the stadium (on the y-axis). The data reveals a correlation between pre-stadium dining and post-stadium dining – stadiums where many guests visit dining venues before the stadium also tend to have a large share of guests going to dining venues after the event. For example, the AT&T Stadium in Arlington, Texas, saw large shares of visitors grabbing a bite to eat on their journey to or from the stadium, while the M&T Bank Stadium in Baltimore, Maryland saw low rates of pre- and post stadium dining engagement.
These trends present opportunities for both local businesses and stadium stakeholders. For example, venues with high dining engagement can explore partnerships with local restaurants, while those with lower rates can build out their in-house dining options for hungry sports fans.
Stadiums looking to enhance their food offerings – or local entrepreneurs thinking of opening a restaurant near a stadium – can also get inspired by stadium visitors’ dining preferences. For example, psychographic data taken from the Spatial.ai: FollowGraph dataset reveals that visitors to MetLife Stadium in East Rutherford, New Jersey have a much stronger preference for Asian cuisine compared to New Jersey residents overall. With that knowledge, the stadium can enhance the visitor experience by expanding its Asian food offerings.
On the other hand, MetLife Stadium goers seem much less partial to Brewery fare than average New Jerseyans, so the stadium operators and restaurateurs may want to avoid offering too many Brewery-themed dining options. Stadium stakeholders can reserve the craft beers for Caesars Stadium, M&T Bank Stadium, and Soldier Field Stadiums, where visitors seem to enjoy artisanal brews more than the average resident in Louisiana, Maryland, and Illinois, respectively.
All of the stadiums analyzed exhibited unique visitor dining tastes, a reminder that no customer or fan base is alike. Aligning on- or off-site dining options with offerings that align with a given customer base’s preferences can improve overall visitor satisfaction and boost revenues.
Zooming in to look at consumer behavior around individual events reveals further variability in dining preferences even among visitors to the same stadium, with different types of events driving distinct dining behaviors.
State Farm Stadium in Glendale, Arizona, is home to the Arizona Cardinals. The stadium hosted the 2023 Super Bowl, but the NFL stadium also acts as a concert venue for acts ranging from Taylor Swift to Metallica. And location intelligence reveals that the dining preferences of stadium visitors vary based on the events held at the venue.
During the Super Bowl, sports bars such as Yard House and Buffalo Wild Wings saw the largest increase in visits compared to the chains’ daily average. A month later, attendees at Taylor Swift's concert gave fried-chicken leader Raising Cane’s a significant boost.
Local restaurants can leverage location analytics to see what types of events are popular with their visitor base and craft collaborations and advertising campaigns that resonate effectively with their patrons.
Sports stadiums and arenas are not just spaces for sports and music enthusiasts to gather; they also offer significant commercial opportunities for the surrounding communities. Stadium operators and local businesses can fine-tune their offerings by utilizing location analytics to better connect with their visitor bases and uncover new retail opportunities.
The dining industry showcased its agility over the past couple of years as it rapidly adapted to shifts in consumer preference brought on by COVID and rising prices. And with a new year around the corner, the pace of change shows no signs of slowing down.
This white paper harnesses location analytics, including visitation patterns, demographic data, and psychographic insights, to explore the trends that will shape the dining space in 2024. Which dining segments are likely to pull ahead of the pack? How are chains responding to changes in visitor behavior? And where are brands driving dining foot traffic by taking advantage of a new advertising possibility? Read on to find out how dining leaders can tap into emerging trends to stay ahead of the competition in 2024.
Comparing quarterly visits in 2023 and 2022 highlights the impact of the ongoing economic headwinds on the dining industry. The year started off strong, with year-over-year (YoY) dining visits up overall in Q1 2023 – perhaps aided by the comparison to an Omicron-impacted muted Q1 2022. And while overall dining growth stalled in Q2 2023, several segments – including QSR, Fast Casual, and Coffee – continued posting YoY visit increases, likely bolstered by consumers trading down from pricier full-service concepts.
Foot traffic slowed significantly in Q3 2023 as inflation and tighter consumer budgets constrained discretionary spending. Overall dining visits fell 2.4% YoY, and full-service restaurants – with their relatively high price point compared to other dining segments – seemed to be particularly impacted by the wider economic outlook. But the data also revealed some bright spots: Fast Casual still succeeded in maintaining positive YoY visit numbers and Coffee saw its Q3 visit grow an impressive 5.4% YoY. As the return to office continues, a pre-work coffee run or lunchtime foray to a fast-casual chain may continue propelling the two segments forward.
Restaurant visitation patterns have evolved over the past few years. Although an 8 PM seating was once the most coveted slot at fine-dining restaurants, recent visitation data suggests that sitting down to dinner earlier is rising in popularity.
But among the QSR segment, the opposite trend is emerging, with late-night visits rising. Analyzing hourly foot traffic to several major QSR chains reveals that the share of visits between 9 PM and 12 AM increased significantly between Q3 2019 and Q3 2023. Even Taco Bell – already known for its popularity among the late-night crowd – saw a substantial increase in late-night visits YoY – from 15.4% to 20.3%.
Who is driving the late night visit surge? One reason restaurants have been expanding their opening hours is to capture more Gen-Z diners, who tend to seek out nighttime dining options. But location intelligence reveals that younger millennials are also taking advantage of the later QSR closing times.
An analysis of the captured market for trade areas of top locations within one of Taco Bell’s major markets – the Chicago-Naperville-Elgin, IL-IN-WI Metropolitan area – reveals a year-over-four-year (Yo4Y) increase in “Singles & Starters.” The “Singles & Starters” segment is defined by Experian: Mosaic as young singles and starter families living in cities who are typically between 25 and 30 years old. As consumers continue to prioritize experiential entertainment and going out with friends, late-night dining may continue to see increased interest from young city-dwellers.
Millennials and Gen-Z consumers aren’t only heading to their favorite fast food joint for a late-night bite – these audience segments are also helping drive visits on the weekends. Smoothie King is one chain feeling the benefits of young, health-conscious consumers.
The chain, which opened in New Orleans, LA, in 1973 as a health food store, has since grown to over 1,100 locations nationwide and is currently expanding, focusing on the Dallas-Fort Worth CBSA. The area’s Smoothie King venues have seen strong visitation patterns, particularly on the weekends – weekend visits were up 3.4% YoY in Q3 2023. The smoothie brand’s trade areas in the greater Dallas region is also seeing a YoY increase in weekend visits from “Young Professionals” – defined by the Spatial.ai PersonaLive dataset as “well-educated young professionals starting their careers in white-collar or technical jobs.”
While some dining chains are appealing to the late-night or weekend crowd, others are driving visits by appealing to sports lovers. How have recent rule changes around student athletes changed the restaurant game, and how can college football teams drive business in their hometowns?
College sports have long been a major moneymaker, with top-tier teams raking in billions of dollars annually. And as of 2021, college athletes can enjoy a piece of the significant fan following of college sports thanks to the change in the NCAA’s Name, Image, and Likeness (NIL) rules, which now allows student athletes to sign endorsement deals.
Since then, multiple restaurants have jumped on the opportunity to partner with student athletes, some of whom have millions of followers on Instagram and TikTok. Chains like Chipotle, Sweetgreen, Slim Chickens, and Hooters have all signed college athletes to various brand deals.
How can brands ensure they partner with athletes their customers will want to engage with? Analyzing a chain’s audience by looking at the interests of residents in a given chain’s trade area can reveal which type of athlete will be the most attractive to each brand’s customer base. For example, data from Spatial.ai: Followgraph provides insight into the social media activity of consumers in a given trade area and can highlight desirable partnerships.
Examining the trade areas of Chipotle, Sweetgreen, Slim Chickens, and Hooters, for instance, reveals that Sweetgreen’s visitors tended to have the largest share of Women’s Soccer followers. Conversely, Sweetgreen’s trade area had lower-than-average shares of College Football Fans or College Basketball Fans, while residents of the trade areas of the other three chains showed greater-than-average interest in these sports. Leveraging location intelligence can help companies choose brand deals that their customers resonate with and find the ideal athletes to represent the chain.
Finding the right college athlete partnership is one way for dining brands to appeal to college sports enthusiasts. But dining chains and venues located near major college stadiums also benefit from the popularity of their local team by enjoying a major game day visit boost.
One of the country’s most popular college football teams, the Ohio State Buckeyes, can draw millions of TV viewers, and its stadium has a capacity of 102,780 – one of the largest stadiums in the country. And while tailgating is a popular activity for Buckeyes fans, nearby restaurants are some of the biggest beneficiaries of the college football craze. Panera experienced a 235.3% increase on game days as compared to a typical day, Domino’s Pizza visits grew by 283.3%, and Tommy’s Pizza, a local pie shop, saw its visits jump by a whopping 600.9%.
This influx in diners also causes a major shift in game day visitor demographics, as revealed by changes in visitors at dining venues located near stadiums of two of the nation’s best college football teams – the Ohio State Buckeyes and Ole Miss Rebels. Based on Spatial.ai: Personalive data for the captured market of these dining venues, game day visitors tended to come from “Ultra Wealthy Families” when compared to visitors during a typical non-game day in September or October.
The analysis indicates that popular sporting events create a unique opportunity for restaurants near college stadiums to attract high-income customers game day after game day, year after year.
While some spend game day tailgating or visiting a college restaurant, others hold a viewing party – with a six-foot submarine. And the sub’s popularity extends beyond Superbowl Sundays. Sandwich chains including Jersey Mike’s, Firehouse Subs, Jimmy John’s, and Subway (recently purchased by the same company that owns Jimmy John’s) have seen sustained YoY increases in visits and visits per venue in the first three quarters of 2023.
Some of the growth to these chains may be related to their affordability, a draw at all times but especially during a period marked by consumer uncertainty and rising food costs. And subway leaders seem to be seizing the moment and striking while the iron is hot – Jersey Mike’s opened 350 stores in 2023 and still saw its YoY visits per venue grow by 6.6%. And Subway reported ten consecutive quarters of positive sales, a promising sign for its new owner.
The love for a healthy, affordable sandwich extends across all income levels, with all four chains seeing a range in their visitors' median household income (HHI). Out of the four chains analyzed, Jersey Mike’s – which has long prioritized a suburban, middle-income customer – had the highest trade area median household income of the four chains at $77.3K/year. Subway, known for its affordability, had the lowest, with $62.9K/year. The variance in median HHI combined with the strong foot traffic growth shows that when it comes to sandwiches, there’s something for everyone.
Persistent inflation and declining consumer sentiment may pose serious challenges for the dining space, but emerging trends are helping boost some restaurants. Customers seeking out a late-night bite drive visits to QSR chains, and health-conscious diners are boosting foot traffic to smoothie bars and sandwich shops. Meanwhile, sports sponsorships and game-day restaurant visits can provide a boost to dining businesses that take advantage of these opportunities.
“Retail media networks have turned retailers into ad moguls. That’s a huge change and nobody yet understands all the implications of it.”
Constantine von Hoffman, MARTECH
Companies operating consumer-facing brick-and-mortar venues traditionally relied on selling goods and services as their primary revenue stream. But recently, leading retailers such as Walmart and Target have begun to leverage their immense store fleet into a powerful advertising platform.
Online retailers have been tapping into the advertising power of their digital sites for years by relying on various automated tools to show third-party advertisements to relevant consumer segments. But now, retailers with a strong offline presence can also leverage physical marketing impressions and focus their campaigns while reaching consumers at the point of purchase. Retailers have long recognized the intent that drives a store visit, and understanding the full value of leveraging that visit to its full extent is an important new frontier.
Major retailers are continuing to see their physical visits outnumber their online ones.
And in spite of the gloomy predictions regarding the future of brick and mortar retail, major retailers are continuing to see their physical visits outnumber their online ones. Monthly numbers of visitors to Walmart and Target significantly outpace the brands’ online reach, according to web data from Similarweb. So although, up until recently, these brands have focused their media placements on their digital channels, it is becoming increasingly clear that these chains’ physical stores hold powerful – and currently untapped – advertising potential.
Online visitor data source: similarweb.com
And with the recent rise in digital advertising costs, retail media networks are becoming more attractive for companies looking to make the most of their ad budget. Retail media networks can also help brands reach rural communities, elderly Americans, and other consumer segments that are currently underserved by digital advertisers.
This white paper explores several retailers on the cutting edge of the retail media network revolution. Keep reading to find out how advertisers can use retail media networks to promote to hard-to-reach consumers, segment their ad spending, and optimize their campaigns.
Residents of rural areas use the internet less frequently, and have lower levels of technology ownership than their urban and suburban counterparts. As a result, companies that stick to digital advertising may have a harder time reaching rural consumers. Brick and mortar retailers popular in smaller markets can fill in the gaps and help brands promote their products and services to this hard-to-reach audience.
Brick and mortar retailers popular in smaller markets can help brands advertise to hard-to-reach audiences.
Dollar General saw significant success over the pandemic, with the current economic climate continuing to benefit the brand. Between January and August 2022, nationwide visits to Dollar General venues were 35.6% higher than they were between January and August 2019, while the number of visitors increased 25.4% in the same period.Visit numbers aggregate the visits to the chain’s various locations in a given period, while visitor numbers track the number of people who enter the brand’s stores.
The company has also been operating a media network since 2018. The Dollar General Media Network (DGMN) enables advertisers to reach Dollar General consumers across the company’s channels to build awareness both digitally and in physical spaces. Advertisers with DGMN can display in-store bollard, blade, and wipe stand signs, security pedestals, basket bottomers, and shelfAdz to deliver in-store messaging from parking lot to purchase. Recently, Dollar General announced that its ad platform was now working with 21 new advertising partners, including Unilever, General Mills, Hershey’s, and Colgate-Palmolive.
Embracing the Power of the Small Market
Advertising partners can leverage the DGMN to promote their goods and services to harder-to-reach consumers.
Dollar General has been serving rural residents for years, with the majority of the company’s stores located in communities with fewer than 20,00 residents. And while the brand is growing nationwide, Dollar General’s strength is particularly evident in small markets – which means that advertising partners can leverage the DGMN to promote their goods and services to harder-to-reach consumers.
Comparing year-over-three-year (Yo3Y) visit change to Dollar General stores in metropolitan and micropolitan core based statistical areas (CBSAs) highlights the company’s success in smaller markets. According to the United States Office of Management and Budget, metropolitan and micropolitan CBSAs have over and under 50,000 residents, respectively. Since January 2022, monthly Yo3Y visit growth to Dollar General venues in select Texas micropolitans has consistently outpaced foot traffic to nearby metropolitan areas. While the Sherman-Denison metro area saw August 2022 foot traffic hit a solid 24.5% increase over August 2019, the Gainesville, Texas micro area – around 35 miles east of Sherman – saw its foot traffic increase 54.5% in the same period.
Dollar General’s presence across a significant number of smaller markets means that advertising partners can use the growing DGMN to increase awareness and drive purchase consideration among these harder-to-reach consumers.
In the digital space, three tech giants – Alphabet (previously Google), Meta (previously Facebook), and Amazon – enjoy over 60% of the digital ad revenue in the United States. This means that companies are competing for impressions on a small number of platforms – and smaller brands geared at specific consumer segments may need to spend significant advertising budgets to outbid the larger players. Retail media networks create additional advertising platforms, and enable advertisers to diversify their ad spend, increase their (physical) impressions, focus on more specialized channels to better reach their audience, and potentially reach customers at their highest point of intent.
Retail media networks create additional advertising platforms and potentially reach customers at their highest point of intent.
Albertsons launched its retail media network, Albertsons Media Collective, in November 2021 with the goal of delivering “digitally native, shopper-centric and engaging branded content to the company’s ever-growing network of shoppers.” Currently, the grocer’s media network is primarily digital, but Albertsons’ head of retail media products Evan Hovorka recognizes the importance of leveraging in-store assets to deliver a unique advertising experience. The company is testing out smart carts that link with “Albertsons for U” loyalty program to display ads to shoppers – and Albertsons is likely to find more ways to reach in-store consumers as it continues to develop its retail media network.
The chain is also one of the most popular grocers nationwide. With the exception of March and April 2022, when inflation and high gas prices temporarily halted growth, the brand’s monthly visits and visitor numbers have consistently exceeded pre-pandemic levels. Monthly visits for Albertsons in August 2022 were up 5.7% and monthly visitors were up 5.4% on a Yo3Y basis. This means that advertisers with Albertsons can increase their reach and grow their physical ad impressions just by displaying their ads in Albertsons locations and tapping into the chain’s growing visitor base.
Looking beyond Albertsons' nationwide average foot traffic trends reveals some important regional differences. Between January and July 2022, visits to the brands increased 4.6% in Wyoming on a Yo3Y basis, while foot traffic to the brand’s locations in Oregon jumped 18.5% compared to January through July 2019. This means that a brand looking to reach consumers in Oregon can contract with Albertsons’ media network to show its ads to a fast-growing pool of visitors.
A larger visitor count translates to an increase in unique ad impressions, while more visits from fewer visitors can drive repeated exposures.
Diving deeper into the data reveals an additional layer of insight. Some states with only moderate visit growth are seeing a surge in visitor numbers, while other states are seeing a drop in visitor numbers but a rise in visits. A larger visitor count translates to an increase in unique ad impressions and more people exposed to the ads, while more visits from fewer visitors translates to more overall impressions that can drive repeated exposure among a smaller group of visitors. So advertisers can use segmented foot traffic data to decide where to focus their marketing depending on the goal of the campaign.
For example, Wyoming's moderate increase in visits hides a significant spike in visitors, which means that advertisers to Albertsons venues in Wyoming can get their impressions before a large number of different potential consumers. Meanwhile, Oregon's 18.5% increase in visits is the result of just a 9.4% increase in visitors – so Albertsons is cultivating an increasingly loyal following in the Beaver State, and the grocer’s advertising partners can expect that the same visitors will be exposed to their brand repeatedly.
So companies that want to increase unique ad impressions and build awareness can advertise to Albertsons customers in Wyoming, where their ads will be seen by a large number of new people. But in Oregon, companies may want to promote a campaign that focuses on moving Albertsons visitors through their funnel.
In order to accurately assess the ad distribution patterns in each location, brands operating retail media networks need to understand both visits and visitors trends in each region and for the chain as a whole.
Advertisers with retail media networks can use foot traffic data to refine their geographic audience by identifying the consumer preferences of a given brick-and-mortar brand on a store or city level.
In August 2020, CVS Pharmacy launched its media network, the CVS Media Exchange (cMx). The company estimates that 76% of U.S. consumers live within five miles of at least one store, and the cMx allows partners to tap into the chain’s reach by giving advertisers access to CVS’ online and offline channels, including in-store ads.
Although CVS has been closing locations recently, the brand is still one of the strongest players in the brick-and-mortar retail space. Its 2022 visit numbers have consistently exceeded pre-pandemic levels nationwide, and data from CVS locations in leading cities shows that its Yo3Y visits per venue and visitor numbers are even higher.
CVS’s nationally distributed fleet means that the brand’s locations in different regions attract distinct consumer bases.
CVS carries a varied product mix of daily essentials in addition to its healthcare offerings, so the brand attracts a wide range of consumer segments. And the chain’s nationally distributed store fleet means that CVS has locations in different regions that attract distinct consumer bases who do not all have the same lifestyle preferences. By using foot traffic data to understand the regional consumer preferences of CVS consumers beyond the store, advertising partners can refine their market and make the most of the cMx.
Different regions have different fitness cultures. Chains catering to health-conscious consumers can use retail media networks and foot traffic data to focus their efforts on areas where inhabitants exhibit a high demand for regular workouts.
Analyzing cross-visit data from CVS locations across five major urban centers in the U.S. shows that the percentage of those who also visited gyms or fitness studios varied significantly across each DMA. In the New York area, 62.7% of those who visited CVS in Q2 2022 also visited a fitness venue during that period, in contrast with only 38.0% of CVS visitors around Dallas-Ft. Worth, TX in the same period. This information can help advertising partners in the health and wellness space decide where to place their campaigns.
Looking at cross-visit data on a city-wide level can provide a sense of the consumer culture in each area, but advertisers that dive into foot traffic data for individual stores can refine their messaging even further.
On average, 43.8% of CVS visitors in the Chicago DMA also visited a gym in Q2 2022. But drilling down to the top CVS locations in the city reveals that the rate of cross-visits varies significantly from location to location. Both the E 53rd Street and W 103rd Street locations have a relatively high share of visitors who visit fitness locations – 52.5% and 49.2%, respectively. Meanwhile fitness cross-visits were at just 36.6% for the South Stony Island Avenue location. Advertisers promoting health and wellness related products and services may want to focus on the 103rd St. and 53rd St. CVS locations.
Diving into a customer’s behavior and preferences outside the store can help retail media network operators and advertising partners find the areas and locations best suited for each type of ad.
Cross-visit data is one way to identify consumer preferences beyond the physical store. Advertisers can also analyze digital preferences of offline visitors to focus their marketing on the most appropriate locations.
Advertisers can also analyze digital preferences of offline visitors to focus on the most appropriate locations.
Over the past couple of years, Macy’s has been finding ways to reinvent itself and optimize its store fleet – and foot traffic data indicates that the retailer's efforts are paying off. In the first half of 2022, Macy’s exceeded its H1 2021 overall visit and average visits per venue numbers and posted a positive year-over-year (YoY) visitor count. In Q2 2022, despite the wider economic challenges, Macy’s visitors, visits, and average visits per venue saw YoY increases of 3.4%, 4.0% and 9.9% increases.
Like CVS, Macy’s launched its media network in August 2020, and by February 2021 the Macy’s Media Network was already generating $35 million annually. In addition to advertising on the company’s digital channels, Macy’s also offers partners the use of in-store screen displays, package inserts, and the brand’s iconic billboard in New York City’s Herald Square.
Advertisers can optimize their advertising by analyzing the differences in consumer profiles between a chain’s various stores.
Advertisers that understand the differences in consumer profiles between a chain’s various stores can optimize their advertising efforts. While looking at variations in cross-visit trends is one way to identify interested brick-and-mortar consumers, diving into visitor’s digital behavior and online preferences can also provide valuable insights.
Tools such as Spatial.ai’s GeoWeb, which tracks online engagement with various trends and topics by neighborhood, can reveal how offline consumers behave online. An index score of 100 indicates that consumers in an area have an average interest in a given topic, while scores over (or under) 100 indicate that consumers are more (or less) interested in the topic when compared to the national average interest.
We used Spatial.ai’s GeoWeb tool to analyze the online behavior of consumers in the True Trade Areas (TTA) of five Macy’s locations in the Philadelphia, PA DMA – and found that residents of the different TTAs stores showed differing indexes. For example, the Macy’s in the King of Prussia Mall location showed a high index of 161 in “Men’s Business Clothes Shoppers,” while the Cottman Ave. location had an only slightly above average index of 102. This means that advertisers of men’s business apparel may see more results by focussing their advertising on visitors to the King of Prussia location.
Advertisers that use retail media networks do a lot more than just reach in-store shoppers. Stores exist in the physical world, so advertisers can also reach passers-by through physical venues’ windows, blade signs – or in the case of Macy’s, through its Herald Square Billboard. Here too, foot traffic data can reveal the consumer preferences of people walking by the sign.
We looked at the online behavior in the TTA around the traffic pin on the corner where the billboard is located (Broadway/6th Ave and 34th Street in New York) to understand which advertisers might benefit most from a billboard at that location. While the “Men’s Business Clothes Shoppers” category was over-indexed compared to the national average, as would be expected in midtown Manhattan, “Women’s Fashion Brand Shoppers” had an even higher index. “Gen Z Apparel Shoppers” were over-represented, but “Leather Good Shoppers” and ”Athleisure Shoppers” were under-represented. So a brand that carries both elegant wear and athleisure may want to display its less casual clothing lines on the billboard.
Understanding how consumers behave both on and offline can help retail media networks and advertising partners promote their campaigns most effectively.
To transform their physical store fleet into a media network, brands and companies need to analyze the reach of each venue. The same chain operating in multiple regions may be reaching different types of consumers in each area, or even in various neighborhoods of the same city. These distinct audiences may have contrasting products, brands, and shopping preferences.
Retailers that leverage their brick and mortar presence can transform the advertisement space as it exists today.
Retailers can also partner with advertising partners who wish to promote goods and services not carried by the retailer. For this to succeed, the retailer will need to analyze how consumers behave outside of its stores. Understanding what characterizes the overall behavior of consumers in each locations’ trade area will allow the retailer to reach a larger audience and truly compete with the digital giants. And by leveraging their brick and mortar presence, brick and mortar retail can transform the advertisement space as it exists today.
