When making commercial real estate decisions, you should go beyond just evaluating the physical location. You also need to understand the living, breathing ecosystem surrounding a property. According to the National Association of Realtors, foot traffic data has a strong link to future sales and contracts being made, making it a critical metric for investors and property developers.

Foot traffic refers to the movement of people through a specific area and has become a pivotal indicator of commercial property potential. 

By leveraging advanced mobility data and foot traffic analytics, real estate professionals can gain actionable retail foot traffic insights far beyond traditional assessment methods.

Why Foot Traffic Matters in Commercial Real Estate

Historically, property valuation relied on traditional metrics: square footage, location, and basic demographic information. Today, foot traffic software has revolutionized this approach, offering granular insights that were previously impossible to capture.

Source: dataplor

Key dimensions of foot traffic analysis include:

• Aggregated pedestrian counts
• Temporal trends (daily, weekly, monthly, yearly)
• Peak hour variations
• Seasonal fluctuations

So, how does this impact CRE? The correlation between how you count foot traffic and property value is valuable:

• High foot traffic indicates a higher business potential
• Consistent pedestrian movement suggests economic stability
• Traffic fluctuations can reveal emerging market shifts
• Visitor behavior provides insights into local economic health

How Foot Traffic Enhances Property Valuation

Foot traffic insights provide a multi-dimensional view of a property’s potential. These trends help professionals assess retail business viability, evaluate location attractiveness, identify high-potential customer bases, and understand seasonal and event-driven variations.

Location data can help retail store managers: 

• Identify peak hours of customer engagement
• Understand customer dwell times
• Analyze conversion rates
• Optimize retail store design and layout

For realtors and commercial property valuation, foot traffic counts can help: 

• Assess potential rental income
• Evaluate location attractiveness
• Predict future property value trends
• Compare different property locations objectively

Within marketing and business strategy, foot traffic data can help: 

• Design targeted advertising and marketing campaigns
• Understand customer demographics
• Optimize staffing levels
• Identify potential business expansion opportunities

For instance, a retail location with consistent foot traffic during peak hours might command a premium, while an area showing growth in visitor behavior could signal an emerging market opportunity.

By leveraging advanced data analytics, real estate professionals can unlock a treasure trove of insights across these areas. Check out our foot traffic data guide for further information.

Integrating Foot Traffic with Other Data Sources

Accurate property valuation requires a holistic, data-driven approach. By combining foot traffic data with complementary datasets, professionals can create a 360-degree assessment across the following areas:

• Points of Interest (POI) Data: With foot traffic data, you can map surrounding businesses, better understand the local ecosystem, and identify complementary and competitive establishments.
  
• Economic Indicators: Foot traffic data helps assess area economic health, track employment trends, and understand income distribution.
  
• Market Trends: Finally, you can evaluate property sales dynamics, monitor rental market fluctuations, and identify emerging investment opportunities.

dataplor’s unique global data schema ensures that these integrated insights remain consistent and comparable across different regions.

Key Considerations When Choosing a Foot Traffic Data Provider

Selecting the right foot traffic data provider can mean the difference between making informed, strategic decisions and falling prey to incomplete or inaccurate insights.

Choosing a foot traffic data provider requires careful evaluation across multiple critical dimensions. 

The ideal provider should offer a comprehensive, reliable, and privacy-conscious approach to location intelligence that transforms raw data into actionable business insights.

Data Accuracy and Reliability 

Businesses must verify a provider’s data verification process, looking beyond surface-level collection methods. This means examining the provider’s track record of precision, understanding their approach to human verification, and assessing the frequency and rigor of data updates. 

A truly exceptional provider goes beyond algorithmic collection, incorporating human expertise to validate and refine data points.

Geographic Coverage 

The most valuable foot traffic data providers offer extensive global reach, demonstrating expertise across international markets. This goes beyond simply collecting data in multiple countries and requires a nuanced understanding of regional address formats, cultural variations, and local business landscapes. 

Providers like dataplor, which covers over 250 countries, understand that true global intelligence means maintaining a consistent data schema while respecting local complexities.

Data Privacy and Compliance 

The ideal foot traffic data provider prioritizes GDPR compliance and implements robust privacy protection mechanisms. This means instilling an industry practice of using anonymized, aggregated data that protects individual identities while still providing meaningful insights.

Reputable providers carefully filter out sensitive locations, ensure no personally identifiable information is collected in reports, and maintain transparent data collection methodologies while ensuring peak performance.

Red Flags to Watch Out For

Exercise caution with data providers who cannot transparently explain their collection methodology, lack consistency in global data, or offer unrealistically low-cost solutions. The most reliable providers demonstrate a commitment to data quality, global expertise, and privacy protection.

Ultimately, the right foot traffic data provider should feel like a strategic partner. dataplor’s location intelligence solutions offer a comprehensive approach that goes beyond simple data collection, providing actionable insights that can transform business strategy.

The Power of Foot Traffic Trends in Property Valuation

As technology advances, foot traffic trends will become increasingly sophisticated. Future developments may include:

• More precise movement tracking
• Enhanced predictive capabilities
• Deeper integration with AI technologies
• More comprehensive privacy protections
• Real-time global insights

Ready to revolutionize your property valuation strategy? Explore our comprehensive data offerings and unlock the full potential of data-driven decision-making.

After all, location is no longer just a point on a map. It’s a dynamic, evolving ecosystem of human movement, economic potential, and market opportunity.

What if you could predict your customers’ next move—literally?

Success today isn’t just about having great products or services, but also about knowing where your customers go, what grabs their attention, and what influences their decisions. 

Foot traffic data is changing how businesses operate, from retail stores optimizing new locations to city planners reducing congestion during rush hour.

Did you know that a 1% increase in dwell time can boost a retailer’s sales by 1.3%? Foot traffic and in-person movement are powerful drivers of growth. Looking ahead, in-person movement patterns will be just as important as online behavior.

In this post, we’ll go into how foot traffic data works, its amazing benefits across industries throughout the U.S. or even to global enterprises, and the key privacy concerns businesses must navigate. 

Plus, we’ll look at how dataplor’s mobility solutions deliver ethical, privacy-first insights that turn movement into business intelligence.

The Advantages of Foot Traffic Data

Beyond just counting visitors, foot traffic analysis reveals patterns that can transform business operations. 

Modern location and mobility data can provide foot traffic counts with incredible accuracy, so businesses can respond to changing market conditions.

Improved Customer Experience

Understanding customer movement patterns around a business can provide valuable insights for creating a more customer-centric experience. 

For example, a retail store can use foot traffic data to:

• Optimize store placement: By identifying high-traffic areas, businesses can strategically locate their stores to maximize visibility and accessibility for potential customers.
• Inform marketing strategies: Understanding foot traffic patterns in the vicinity of a store can help businesses tailor their marketing campaigns to reach specific customer segments and optimize advertising placement.
• Understand customer behavior around their business: This can help businesses understand peak times and how people move around their business.
• Enhance accessibility: By analyzing foot traffic patterns and identifying popular routes, businesses can improve their entrances and surrounding areas to create a more welcoming and accessible environment for customers.

By leveraging these insights, businesses can make data-driven decisions that contribute to a more positive and convenient customer experience.

Increased Sales and Revenue

Foot traffic data directly impacts revenue by identifying peak shopping hours and opportunity gaps. Retailers can use this data to:

• Staff more during high-volume periods
• Schedule promotions when more foot traffic occurs naturally
• Adjust inventory based on visitation patterns
• Compare foot traffic numbers across locations to see which store formats work

Businesses that track and respond to foot traffic patterns often see greater sales growth than those that don’t. That’s why forward-thinking companies treat these metrics as a standard part of operations. 

Enhanced Operational Efficiency

Customer traffic patterns are incredibly valuable. Businesses can reduce waste by scheduling deliveries during low traffic periods, staffing during peak hours, and even plan maintenance when customer impact will be minimal.

City planners, for example, can use foot traffic data to optimize infrastructure, such as pedestrian walkways, public transportation routes, and traffic signals in high-traffic areas. This can help improve traffic flow, reduce congestion, and create more pedestrian-friendly environments. Meanwhile, local businesses can analyze foot traffic patterns to make informed decisions about their operations, ensuring their hours align with when customers are in the area most.

Data-Driven Insights

One of the greatest values of foot traffic data is that it provides clear, objective insight into consumer preferences—eliminating any guesswork. 

With real-world data in hand, businesses can make smarter decisions. Retailers, for instance, can analyze traffic patterns to pinpoint ideal store locations, focusing on areas with high visibility and easy access for potential customers.

These insights, driven by data rather than intuition, enable businesses to make strategic decisions that improve efficiency, enhance customer engagement, and drive growth.

Privacy and Responsibility in Foot Traffic Data

While the benefits of foot traffic have significant value, the privacy of the data must be taken seriously. As consumers become more concerned about how their location data is used, businesses must approach collection and analysis ethically.

Mobility data collection raises questions about consent and anonymization. People don’t want to feel surveilled—especially without their knowledge or permission. According to Pew Research Center, 79% of Americans are concerned about how companies use their data. 

Ensuring data collection respects individual privacy rights requires careful planning and transparent communication.

Regulations like GDPR have established clear guidelines for location data. Businesses must get consent, anonymize data to protect individual identities, and maintain robust security to prevent unauthorized access. 

Maintaining consumer trust means working with foot traffic data providers who put privacy first.

Foot Traffic in Focus: Real-World Applications

Foot traffic data unlocks value across a wide range of industries. Here’s how it’s being applied across key sectors:

Retail

Retailers can leverage foot traffic data to gain valuable insights into customer behavior around their stores and make strategic decisions that drive growth. By analyzing movement patterns, retailers can:

• Evaluate location performance: Compare foot traffic at different store locations to assess their relative performance and identify high-potential areas.
• Analyze external factors: Identify correlations between foot traffic and external factors, such as weather conditions or local events, to understand how these factors influence customer behavior.
• Measure marketing effectiveness: Analyze the impact of promotions and advertising campaigns on foot traffic to determine their effectiveness and optimize marketing spend.
• Identify high-traffic areas: Understand where potential customers are concentrated, allowing for better site selection, and marketing placement.
  

For instance, a retailer can analyze foot traffic data to determine which of their store locations consistently experiences higher volumes of potential customers. This information can inform decisions about resource allocation, staffing, and marketing investments. 

Additionally, by analyzing foot traffic patterns during promotional periods, retailers can gauge the effectiveness of their campaigns and make adjustments as needed. This data-driven approach allows retailers to optimize their operations and enhance the customer experience.

Real Estate

For real estate professionals, foot traffic data is invaluable location intelligence. Developers can assess current movement patterns to guide site selection, property managers can optimize common areas for better engagement, and urban planners can design more effective public spaces. Investors, too, are increasingly factoring in foot traffic metrics when evaluating commercial properties.

For example, a real estate developer considering a new retail development can use foot traffic data to assess the viability of different locations. By analyzing the overall volume of pedestrian traffic in a commercial district, they can identify areas with consistently high foot traffic. 

Combining this with POI data about existing businesses can inform decisions about the most suitable types of retail tenants. High foot traffic near complementary businesses suggests a strong potential for customer overlap and increased sales.

Consumer Packaged Goods (CPG)

CPG companies use foot traffic data to understand how their products perform in different retail environments. By analyzing movement patterns, CPG companies can:

• Identify Retailer Alignment: Determine which retailers attract their target customer segments based on foot traffic patterns in the vicinity of those retailers.
• Evaluate Marketing Campaign Effectiveness: Measure the impact of advertising and promotional campaigns on foot traffic to retail locations where their products are sold.
• Understand Consumer Movement Patterns: Analyze general consumer movement trends to identify areas with high concentrations of their target audience.
• Optimize Distribution Strategies: Use insights from foot traffic data to inform decisions about product distribution and availability in different retail locations.

For example, a nutritional supplement company can analyze foot traffic data near locations such as gyms, parks, and health food stores. This can help them understand the general movement patterns of health-conscious individuals and inform decisions about where to focus their marketing and distribution efforts.

dataplor’s Mobility Data: Privacy-First Foot Traffic Insights

Against this backdrop of opportunity and responsibility, dataplor offers mobility data solutions that put privacy first.

dataplor’s approach to foot traffic analysis starts with a simple principle: no personally identifiable information is ever collected. 

This privacy-first approach means businesses can get valuable insights without compromising consumer trust. You won’t find information about specific individuals or their detailed activities. Instead, you’ll see anonymized and aggregated data that reveals trends and patterns in how people move within a given area. 

What sets dataplor apart is our global coverage. While our competitors may have strong domestic coverage, we have the same high-quality data across international markets, with data that is:

• GDPR-compliant and privacy-focused
• Verified by in-market experts with cultural and language expertise
• Updated in near real-time for maximum relevance
• Has a consistent schema across markets for easier analysis

This global capability is especially valuable for businesses expanding internationally, so you can apply the same analysis across markets from many locations.

Stepping into the Future with Foot Traffic Data

As businesses get more competitive, foot traffic data will only get more important. 

The insights from understanding physical movement patterns complement digital analytics to give you a full picture of customer behavior.

The most successful companies will be those that balance the power of mobility data with a strong ethical foundation. dataplor is committed to supporting this approach by offering privacy-compliant mobility data solutions that provide valuable insights into consumer movement patterns without compromising trust.

dataplor’s data is built on transparency, anonymization, and respect for individual privacy. We understand that consumers are increasingly concerned about how their location data is being used, which is why we adhere to strict privacy regulations, including GDPR, and ensure that no personally identifiable information is collected.

Businesses can gain actionable insights into foot traffic trends, analyze market potential, and make informed decisions about location strategy, marketing, and more. Get in touch with our team today to see how location intelligence can change your understanding of customer behavior and drive business growth.

In Mexico, convenience stores—known as tienditas de la esquina—are more than just quick stops. They’re essential hubs for groceries, bill payments, and community connections. These small-format retailers provide essential goods and services, especially in neighborhoods where supermarkets are scarce or  expensive. With extended hours, local trust, and a deep understanding of their clientele, convenience stores have become an integral part of Mexico’s cultural and economic landscape.

For businesses trying to reach these essential retailers, visibility is key. That’s where the partnership between dataplor and Linnda comes in. By combining dataplor’s global location intelligence with Linnda’s intuitive platform, companies now have the tools to find, assess, and act on insights related to Mexico’s vast independent convenience store market.

Beyond the Chains: A Fragmented Landscape 

When people think about convenience stores in Mexico, the first names that come to mind are OXXO and 7-Eleven. But beneath the surface of these high-profile brands lies a vast, fragmented ecosystem of independent retailers—and the numbers speak for themselves.

According to dataplor’s POI database, there are 179,755 convenience stores across Mexico. Surprisingly, 137,682 of them—over 76.6%—are independently owned and operated, not affiliated with any national or regional chain.

That means three out of every four convenience stores in Mexico fall under the radar of traditional data sources, which typically emphasize only major brands.

This fragmentation makes it difficult for brands, logistics providers, and retailers to truly understand market saturation, identify growth opportunities, or reach everyday consumers. Independent stores may not show up on search engines, location APIs, or basic mapping tools—making them invisible to many data platforms.

Why This Matters

• Consumer Access: Independent stores often serve as critical access points for groceries, prepaid mobile plans, and basic household goods in both urban and rural areas.
• Expansion Strategy: For businesses looking to expand product distribution or evaluate retail footprints, relying on chain data alone paints an incomplete picture.
• Data Visibility Gap: These “hidden” businesses and POIs are not just statistical blind spots—they’re missed opportunities.

That’s why dataplor’s approach to building and maintaining accurate POI data across all of Mexico’s municipalities, including remote, underserved, and informal areas, is a game-changer for companies that depend on accurate, real-world visibility into convenience stores and retail. 

Analysis Results: Independent Stores Dominate Even in Metro Hubs

To  demonstrate the depth of dataplor’s coverage, we conducted an in-depth analysis of convenience store distribution across several of Mexico’s largest metropolitan areas. The results confirmed a clear trend: independent convenience stores dominate the landscape, even in highly urbanized regions.

By leveraging dataplor’s robust location intelligence, we identified tens of thousands of active convenience stores across cities like Guadalajara, León, and the greater Mexico City metro area. Within each, a significant majority are independently owned and operated, reinforcing the importance of comprehensive POI coverage that extends beyond national chains. These findings not only underscore the depth and accuracy of dataplor’s dataset, but also highlight the critical need for visibility into the “hidden majority” of retail outlets that serve as vital economic and cultural hubs in their communities.

The Solution: dataplor + Linnda for Smarter CPG Distribution

As this analysis shows, even in Mexico’s most densely populated and economically dynamic metro areas, independent convenience stores far outnumber their chain counterparts. These small, often informal retailers are essential to the daily lives of millions, yet they remain largely invisible to conventional data providers.

That’s where dataplor makes the difference. With meticulously verified POI data spanning every municipality in Mexico, dataplor brings clarity to the fragmented retail landscape, unlocking insights that are critical for market expansion, competitive analysis, and strategic planning. In a country where over three-quarters of convenience stores are independently owned, having visibility into the full ecosystem isn’t just helpful—it’s essential.

Through our strategic partnership with Linnda, these insights are now more accessible and actionable than ever. Linnda’s powerful platform transforms dataplor’s verified location data into dynamic, easy-to-use insights that help CPG wholesalers, distributors, and field teams make smarter, faster decisions.

Whether it’s optimizing sales routes, identifying untapped independent stores, or pinpointing high-potential clusters by municipality, Linnda enables users to visualize and activate dataplor’s comprehensive dataset directly within their workflows. For companies selling into Mexico’s fragmented and hyperlocal retail ecosystem, this partnership eliminates guesswork and empowers precision.

With dataplor + Linnda, CPG teams can bridge the gap between store coverage and sales execution, expanding their footprint with confidence.

To learn more, contact us today at contact@dataplor.com or jose@linnda.co.

Foot traffic data is no longer just a North American product, it’s a global imperative. As businesses expand into new markets and adapt to shifting consumer behaviors worldwide, the need for precise, GDPR-compliant, privacy-first mobility data has never been more urgent.

To meet this demand, dataplor is expanding its mobility product globally, bringing timely, POI-level foot traffic insights to countries around the world. From major retail hubs to high-growth emerging markets, companies can now access the same caliber of mobility intelligence internationally that they’ve come to rely on in the U.S., Canada, and Mexico.

What is Global Mobility Data and Why Now?

Mobility data, also known as foot traffic data, measures when and how many people visit a specific place. Combined with dataplor’s point-of-interest (POI) data, this reveals where consumers go, how often, when, and in what context. For multinational businesses, this type of intelligence is foundational to making strategic decisions around expansion, marketing, investment, and operations.

Global enterprises have long grappled with fragmented and incomplete location intelligence solutions, with many providers offering only partial visibility or overlooking emerging markets entirely. Even when data is available, it often lacks the precision needed to tie foot traffic to specific points of interest, limiting its usefulness. Compounding these issues are growing privacy concerns, as many existing solutions fail to meet compliance standards like GDPR or rely on opaque data collection practices.

dataplor’s global mobility product directly addresses these gaps, offering monthly, GDPR-compliant data across both developed and underserved regions, with precise attribution down to individual POIs. What sets our solution apart is its ability to deliver:

• Granular POI-Level Tracking: Understand exactly which store, venue, or site is being visited, not just general zones or districts.
• Expanded Global Reach: Access mobility insights in regions that were previously underserved, including key growth markets.
• Monthly Updates: Stay current with data that’s refreshed every month, rather than relying on outdated quarterly snapshots.
• Privacy-First Design: Our data is anonymized, aggregated, and compliant with all relevant global privacy regulations.

Combining POI and mobility data, dataplor eliminates the need for patchwork solutions, giving global enterprises a unified, dependable source for location intelligence.

Global Applications, Real-World Impact

The use cases for mobility data are expanding, and industries worldwide can tap into dataplor’s insights to power smarter decisions:

Retailers and quick-service restaurants can pinpoint high-traffic areas, evaluate market potential, and strategically expand into new regions. Consumer packaged goods companies can optimize distribution by targeting stores with proven footfall. Tourism boards and hospitality groups can analyze visitor patterns through major attractions and travel corridors, fine-tuning everything from marketing to operations.

Meanwhile, city planners and infrastructure leaders can use real-world movement data to design more efficient, accessible urban spaces. Real estate professionals, from developers to investors, can assess property value and neighborhood potential through the lens of actual consumer activity.

The World is Moving. We’re Tracking It

As global connectivity deepens, businesses need more than static maps and quarterly reports. They need a consistent, ethical, and scalable way to understand real-world human movement, no matter the market.

Powered by anonymized mobile location signals, verified POI data, and a privacy-first foundation that meets global standards like GDPR, dataplor’s global mobility product delivers the clarity and confidence today’s businesses demand.

Whether you’re optimizing a retail footprint in Southeast Asia, tracking tourism patterns across Europe, or assessing real estate opportunities in Latin America, dataplor provides the insights to help you move forward.

Want to see what global foot traffic looks like in action? Explore our latest tourist attraction report or request a sample to get started.

After years of closed borders and empty landmarks, the world is moving again. From the base of the Great Pyramid to the halls of the Louvre, tourism foot traffic is not only back, it’s shifting in ways that tell us more than just where travelers are going. It reveals how global tourism is evolving.

At dataplor, we use numbers to surface patterns, uncover behaviors, and guide more intelligent decision-making. That’s why we’ve built a foot traffic product rooted in trillions of movement data points. With this latest global tourism dataset, we’ve uncovered meaningful patterns, anomalies, and shifts that define the return of tourism from 2021 through 2024, and point to what 2025 will bring.

The Data That Tells the Story

In 2021, as travel bans slowly lifted, tourism began to crawl back. Places like the Louvre saw modest foot traffic (roughly 2.8 million visitors that year), while open-air icons like the Sydney Opera House and Tokyo Disneyland hovered around 6 million.

By 2022, the Colosseum in Rome saw foot traffic soar from over 1.5 million in 2021 to over 9 million, a year-over-year (YoY) growth of over 400%. The Taj Mahal, Christ the Redeemer, and Petra, all constrained by access and local policy, showed mild YoY growth of less than 50%. But the full comeback didn’t arrive until 2023, when global travel surged past many pre-pandemic benchmarks. Tokyo Disney saw an estimated 13+ million visits based on aggregated mobility patterns. The Sydney Opera House hosted over 10 million. The Great Pyramid at Giza crossed 7 million, reclaiming its place among the most-visited heritage sites in the world.

Beyond the Peaks: What the Footprints Reveal

In 2024, travel demand has accelerated into the spring months. Compared to 2023, global foot traffic at top tourist sites rose by more than 11% in March alone, reflecting a growing preference for earlier trips, driven by favorable pricing and a desire to avoid peak summer crowds.

Meanwhile, the traditional summer hotspots remain dominant. The Colosseum continues to see over 1 million visitors in July and August alone. But even here, we see emerging constraints: extreme heat, labor strikes, and local policy interventions are reshaping not just when people travel, but how destinations manage that demand.

In Rome, for example, the introduction of the “Moon over the Colosseum” night tours in 2023 successfully redirected some tourist traffic to evening hours, helping to spread out demand and slightly boost October’s overall visitation. In Peru, a 23-day rail protest in early 2023 reduced Machu Picchu’s annual traffic by nearly 150,000, a reminder of how even short-term disruptions can erase months of tourism volume.

A New Tourism Calendar

Tourism is increasingly shaped by micro-events, some celebratory, some disruptive. And dataplor’s data captures these trends, offering timely visibility into shifting travel patterns.

• The Sydney Opera House marked its 50th anniversary with a yearlong celebration that began in October 2022 and concluded in October 2023, drawing a rare peak in visitor numbers during Australia’s typically quieter months.
• Strikes in Paris reduced March 2023 traffic at the Louvre.
• Across all sites in our dataset, October and December 2024 each saw more than 5.4 million visits, surpassing June. The trend points to extended holiday travel and growing interest in off-peak experiences driven by cooler weather, cultural events, and pricing advantages.

Whether driven by weather, politics, or pop culture, these moments ripple outward, impacting bookings, campaigns, and even regional economies.

What 2025 Might Look Like

Using four years of consistent seasonal benchmarks and trends, dataplor projects a continued shift toward earlier travel planning and spring surges.

Based on recent trends, 2025’s most visited sites are expected to mirror past performance, with the top five being:

• Tokyo Disneyland
• Sydney Opera House
• The Colosseum
• Great Pyramid at Giza
• The Louvre

These landmarks show durable interest, seasonal consistency, and the ability to absorb disruptions. Meanwhile, sites like Petra and Machu Picchu, though smaller in raw volume, continue to show strong seasonality tied to weather and limited access, with peak demand condensing around narrow windows.

Another variable shaping 2025 tourism trends may come from beyond the travel industry itself. Trade tensions, shifting visa policies, and regional tariffs, especially involving China, the U.S., and the EU, could reshape cross-border travel flows. We’ve already seen how government actions directly affect tourism patterns: in Peru, anti-government protests in early 2023 led to the closure of Machu Picchu for nearly a month, resulting in a measurable drop in foot traffic. In France, nationwide strikes over pension reform triggered a temporary decline in March visitation to the Louvre. While dataplor doesn’t predict policy, our foot traffic data shows how quickly decisions at the top, whether diplomatic or domestic, can ripple through global movement. As 2025 approaches, we’ll be watching how geopolitics continue to shape where the world travels.

Why This Matters

Tourism isn’t just a consumer preference; it’s an infrastructure challenge, an economic driver, and a cultural signal. Cities, brands, and agencies all depend on accurate, timely data to make high-stakes decisions about pricing, staffing, events, and policy.

dataplor’s foot traffic product delivers:

• Verified POI-level insights across continents
• Month-over-month comparisons for multi-year analysis
• Granular visibility into seasonal and disruption-based shifts

From managing overflow crowds in Rome to launching early spring promotions in Peru, our data equips decision-makers with the tools to adapt in real time, and stay ahead of what’s next.

dataplor’s mobility insights illuminate that story, helping you respond to today and plan for tomorrow. Want to learn more about how our global foot traffic product can inform your business strategy? Reach out for a mobility sample.