Geospatial data: what it is and why your business needs it

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Geospatial data: what it is and why your business needs it

Geoff Michener
•  Jan 30, 2026  •  7 min read

In today’s data-driven world, location data has become a crucial asset for staying competitive. From optimizing marketing campaigns to improving site selection, the ability to understand and utilize geospatial data can transform the way your business operates. Businesses across numerous industries use location information to enhance decision-making, predict customer behavior, and streamline operations.

In simple terms, geospatial data connects information to a specific place on the earth’s surface. Essentially, it’s location intelligence layered onto raw coordinates. Point-of-interest (POI) data is one common example, pairing geographic coordinates like latitude and longitude with additional details about a given place. If you want to access valuable insights like POI data, providers like Dataplor offer comprehensive location data to help you gain a competitive edge.

A study revealed that the geospatial data industry is growing rapidly, with the global GIS market projected to reach $14.5 billion by 2025.

Graph showing market opportunity of global GIS to grow from 8.1 BN in 2022 to 14.5 BN in 2025, a 12.4% increase.

Source: Markets and Markets

In this article, we’ll review what geospatial data is, how spatial analysis works, and why this data is critical for business. Whether you’re looking to optimize site selection, improve real-time marketing strategies, or enhance customer engagement, geospatial insights are the key to success.

What is geospatial data?

At its core, this kind of location intelligence ties data to a specific point on the earth’s surface, and it comes in a range of formats depending on the use case. Understanding how different places relate to one another spatially—how close, how far, how clustered—is what allows you to make more informed decisions.

By linking geographic locations to real-world data points, spatial datasets help you visualize trends effectively with the help of data visualization tools.

Key components:

1) Spatial data:

This component represents the physical location of a place, defined by precise geographic coordinates such as latitude and longitude. These coordinates enable the accurate pinpointing of locations on Earth, making spatial data essential for location analysis.

For example, point clouds, polygons, and vector data are common spatial elements used to define the boundaries of a geographic area, whether it’s a business, landmark, or other point of interest. Additionally, raster data represents information in a grid format with pixels, often used in satellite imagery for analysis. 

2) Attribute data:

While spatial data answers the “where?” question, attribute data provides additional details by addressing the “what?” of a location. This includes important information such as the type of business, address, and operating hours.

For businesses utilizing Point-of-Interest (POI) data from providers like Dataplor, attribute data offers essential context for making informed decisions about site selection and location optimization. Here are some examples of how geospatial data is used across various industries.

Examples of geospatial data:

Geospatial data is widely used across industries to support operations and strategy. Here are a few examples:

  • Point-of-Interest (POI) data: This type of geospatial data is essential if you’re aiming to gather insights about locations such as stores, restaurants, offices, and more. For instance, dataplor’s comprehensive POI data allows you to analyze the demographics and real-time updates of business locations, helping you optimize your operations.
  • Satellite Imagery: Used for a range of applications, from urban planning to environmental monitoring, satellite imagery gives you a bird’s eye view of large geographic areas. It is often processed using GIS data and tools like ArcGIS for detailed analysis.

What is spatial analysis?

Spatial analysis is the process of examining, interpreting, and extracting actionable insights from geospatial data. By leveraging location data and advanced algorithms, you can uncover hidden patterns, trends, and relationships that may not be apparent in traditional datasets. 

This approach allows you to make more informed decisions based on spatial relationships, enhancing everything from market analysis to customer targeting.

How does it work?

Spatial analysis leverages geospatial data to assess the relationships between various geographic points. By utilizing Geographic Information Systems (GIS) software such as ArcGIS and other analytical tools, you can perform detailed examinations of locations, analyze spatial relationships, and extract valuable insights to support decision-making.

Whether you’re examining land usage patterns or assessing the proximity of competitors, spatial analysis serves as a powerful tool for optimizing your business operations. Data collected through APIs and data sources like ESRI (a global market leader in geographic information system (GIS) software) supports these analyses, providing the insights needed to support your strategies.

Here are some examples of spatial analysis techniques:

1. Hot spot analysis:

This technique allows you to identify areas with a high concentration of specific types of geospatial data. For example, if you’re looking to find optimal locations for new stores or distribution centers, you can use hot spot analysis to determine which geographic location offers the most promising opportunities.

Many businesses, like Walmart, use big data combined with geospatial information to identify these patterns.

2. Proximity analysis:

This method evaluates the distance between different POIs, helping you understand your location in relation to your competitors. You can, for example, use proximity analysis to assess how close your store is to your suppliers or potential partners, ensuring that its location is strategically advantageous. 

How to start: quick checklist

  • Identify your data sources: Determine whether you need POI data, satellite imagery, mobile/mobility data, or a combination, based on your use case (site selection, marketing, risk assessment).
  • Choose your tools: GIS software like ArcGIS is standard for spatial analysis; some providers also offer direct API access for programmatic use.
  • Define your first query: Start narrow—e.g., “identify all coffee shops within a 1-mile radius of downtown Chicago” or “find retail locations near proposed distribution centers.”
  • Validate before scaling: Test data accuracy and coverage in one market or use case before rolling it out across a full portfolio or region.

Why is geospatial data important for businesses?

As businesses increasingly rely on data-driven strategies, geospatial data has become a vital resource for gaining a competitive edge. Recognizing how physical locations and their surrounding environments impact your business operations can result in more informed decision-making and better resource allocation. 

Whether you’re refining your real estate strategy or optimizing supply chain logistics, geospatial data plays an essential role in today’s data management and decision-making landscape.

Make data-driven decisions

In today’s competitive business landscape, making decisions based on reliable, actionable data is essential for success. Geospatial data empowers businesses to make data-driven decisions by providing valuable location insights that enhance strategic planning, resource allocation, and operational efficiency.

For example, geospatial data analysis can assess potential sites for new retail or office locations by evaluating nearby infrastructure, competitor presence, and customer demographics. By analyzing both spatial and attribute data, businesses can optimize site selection, reduce risks, and maximize return on investment.

In industries like commercial real estate, integrating geospatial technology enables professionals to make informed decisions in investment research, risk assessment, and market and competitor analysis. These decisions are supported by precise geographic data, ensuring a comprehensive understanding of the operational landscape.

With tools like GIS software, you can visualize geographic data, making it easier to interpret complex data models and make informed decisions in real-time. Research shows that geospatial technology is widely used in urban planning and resource management to support smarter decision-making.

Improved market analysis and site selection

By utilizing POI data, Starbucks has refined its store placement strategy by targeting urban and suburban areas with high customer potential. Through geospatial data analysis, they were able to pinpoint areas with the greatest opportunity and gain a deeper understanding of their customers. Enriching their data ultimately helped them expand to over 60 countries with approximately 19,767 company-operated and licensed locations.

By targeting high-traffic and high-visibility areas, Starbucks has optimized its global reach and solidified its dominance in the coffeehouse industry. It currently holds a 36.7% market share in the U.S. coffeehouse market, depicting the effectiveness of its geospatial data-driven site selection strategy.

Enhancing property insurance with geospatial data

Tensorflight, a leader in property analytics for the insurance sector, partnered with dataplor to improve the accuracy of data used in property insurance assessments. By leveraging our POI data, they were able to improve geocoding accuracy, which allowed them to generate more accurate building replacement cost estimates and better classify building occupancy types.

These advancements have empowered Tensorflight to provide more reliable and actionable data to their insurance clients, transforming how real estate and property insurance decisions are made.

Key takeaways

  • What it is: Geospatial data links information to a specific place on earth, combining spatial data (the “where”) with attribute data (the “what”) to give businesses a full picture of a location.
  • Top business benefits: It sharpens site selection by evaluating infrastructure, competitors, and demographics; supports market analysis through techniques like hot spot and proximity analysis; and improves accuracy in adjacent fields like property insurance underwriting.
  • Real-world proof: Starbucks used POI data to guide site selection into high-potential markets, while Tensorflight partnered with dataplor to improve geocoding accuracy for property risk assessments.
  • Next step: Request a sample of our POI data to see how location intelligence could sharpen your own site selection or market analysis.

Learn how Dataplor’s comprehensive data helped companies like Wolt and FLO® to transform their business. Request a sample today and experience the powerful benefits firsthand.

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What is location intelligence? How it transforms business strategy

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What is location intelligence? How it transforms business strategy

Geoff Michener
•  Jan 30, 2026  •  3 min read

Technology is transforming the way companies are growing, especially through the use of location intelligence. At Dataplor, we empower many of the world’s largest companies by delivering real-time, accurate location data. This valuable geographic information can be used to fuel advanced technologies and data systems across a number of industries.

By integrating diverse data sources into their business intelligence systems, companies can elevate their location analytics and data visualization capabilities. This enriched business data enables more effective marketing campaigns and resource optimization, ultimately leading to better decisions across the board.

What is location intelligence?

Location intelligence is gained by analyzing geospatial data collected from various sources like GIS, satellite imaging, drones, census reports, and more. While this process can be time-consuming and complex, Dataplor simplifies it by streamlining the data collection and delivering relevant point-of-interest data directly to your business. With this information in hand, your data analysis team can easily identify marketing and retail opportunities as well as new possibilities across various industries.

Business intelligence vs. location intelligence

Both CARTO and IBM explicitly explain how location intelligence relates to and differs from traditional BI. Those that may be unfamiliar with location intelligence can use this section to help connect the dots and clarify the concept for newer audiences.

How location intelligence works

Location intelligence is often mistaken for simple GPS tracking, but true location intelligence is far more powerful. Rather than relying on a single data source, it uses a layer-by-layer approach to reveal how people interact with the physical world.

At its foundation is raw geospatial data, which provides precise information about where places and movement exist in space. This data is then enriched with additional layers, such as demographic insights, point of interest (POI) data, and foot traffic patterns, to add critical context. When these layers are combined, businesses can move beyond static maps and begin to understand real-world behavior.

By analyzing these interconnected datasets together, location intelligence transforms location data into actionable insights that support smarter planning, forecasting, and decision-making.

The benefits of location intelligence for businesses

Location intelligence helps businesses reduce risk, uncover growth opportunities, and make data-driven decisions with confidence. Its strategic value spans site planning, marketing, operations, and competitive analysis.

Precision site selection

Reduce the risk of brick-and-mortar investments by identifying locations with strong foot traffic and the right target demographic. Location intelligence replaces guesswork with real-world behavioral data to support smarter expansion decisions.

Enhanced customer understanding

Go beyond basic demographics to understand how customers move through and interact with physical spaces. These insights reveal behavioral patterns, preferences, and opportunities that traditional data sources often miss.

Operational efficiency and logistics

Improve supply chain planning and delivery efficiency by analyzing real-world movement patterns, traffic conditions, and environmental factors. Location intelligence helps streamline operations while reducing costs and delays.

Hyper-local marketing

Increase marketing effectiveness by tailoring campaigns to the unique behaviors and needs of specific neighborhoods. Hyper-local insights enable more relevant messaging, higher engagement, and improved conversion rates.

Competitive benchmarking

Monitor competitor foot traffic and market share trends to understand performance in real time. These insights help businesses identify threats, measure impact, and capture new opportunities faster.

Common use cases of location intelligence solutions

Location data holds the key to unlocking smarter business strategies across various sectors, including retail, healthcare, real estate, insurance, and more. This data-driven approach facilitates informed decision-making and maximizes revenue through several use cases:

  • Mapping: Location intelligence enables GIS and other spatial data technologies to create intuitive dashboards and visualizations, helping to identify patterns and potential relationships within and between locations.
  • Site selection: Insights from geographic data allow organizations to assess the pros and cons of potential real estate locations, optimizing their site selection for competitive advantage.
  • Competitor investigation: Gain a deep understanding of the competition to identify market opportunities and areas to target.
  • Supply chain optimization: Use location data to optimize logistics, distribution, and inventory management.
  • Risk assessment: Identify potential risks by considering factors like ROI forecasting and fraud prevention.
  • Customer segmentation: Customize product promotions and offerings tailored to consumer demand based on location data. 
  • Real estate valuation: Determine property values based on location-specific factors like proximity to amenities, schools, and transportation.
  • Urban planning: Forecast which areas are most likely to see substantial growth, and predict the best areas for development.

Comprehensive location insights from Dataplor

As a leading provider of global location intelligence, Dataplor utilizes advanced machine learning, image recognition, and artificial intelligence technologies to examine vast arrays of data across more than 250 million locations in over 200 countries and territories. This commitment to quality ensures that you can make well-informed, data-driven business decisions. Our international team of analysts and human validators leverage their local experience and language fluency to maintain high data accuracy, reduce errors, and identify duplicates in real-time.

Why Dataplor is the right location intelligence partner

Partner with a provider committed to giving you a competitive edge. Dataplor is your global partner in location intelligence, helping your business optimize customer experiences, improve supply chain functionality, and enhance financial services through our accurate Point-of-Interest (POI) data. Our industry-leading quality control procedures ensure you receive highly accurate and relevant location data that you can trust. Contact our experts to learn how our data can strengthen your business strategy and support data science initiatives, urban planning, CRM, IoT applications, pricing strategies, and more.

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Building smarter, safer cities: leveraging location intelligence data

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Building smarter, safer cities: leveraging location intelligence data

Geoff Michener
•  Jan 30, 2026  •  6 min read

Key takeaways

  • Location intelligence helps cities understand real-time movement, optimize services, and make data-driven decisions.
  • Urban planners use geospatial insights to reduce congestion, improve emergency response, and allocate resources effectively.
  • Combined with other datasets (like census or weather data), location intelligence offers a full picture of urban dynamics.
  • Real-world examples include smarter transit in London, infrastructure planning in NYC, and population forecasting in Dubai.
  • Choosing the right data provider, like Dataplor ensures accuracy, privacy compliance, and actionable insights.

Imagine a city that understands, adapts, and responds to its inhabitants’ needs with precision. 

No longer a futuristic concept, location intelligence has become the heart of modern urban development, offering unprecedented insights into the complex dynamics of city life.

Cities are more than just collections of buildings and roads. They’re living ecosystems of human movement, infrastructure, and interconnected systems. According to the United Nations, 68% of the world’s population is projected to live in urban areas by 2050, making the need for intelligent, data-driven urban management more critical than ever.

In this comprehensive guide, we’ll explore how location intelligence data is revolutionizing urban planning, public safety, and city management, providing a roadmap for creating smarter, more responsive urban environments.

What is location intelligence data for urban environments?

Urban areas are constantly evolving landscapes shaped by human movement, infrastructure, and environmental factors. Location intelligence data provides a structured way to analyze these dynamics, offering city planners and policymakers a comprehensive view of how people interact with urban spaces. 

Diagram of Smart City made up of smart infrastructure, mobility, energy, IoT, open data, and more.

Source: MOCA Platform

By integrating geospatial data, real-time location analytics, and location-based insights, cities can make data-driven decisions that enhance efficiency and safety.

Location intelligence use cases for urban planning

At its core, location intelligence leverages a mix of advanced analytics, artificial intelligence, advanced data science, and geospatial datasets. City officials can use location intelligence to:

  • Identify high-traffic areas and congestion points: Foot traffic data patterns reveal bottlenecks in transportation networks, aiding in decongestion strategies.
  • Understand population movement during emergencies: Spatial data combined with real-time analytics helps optimize evacuation plans and emergency response times by analyzing visitation patterns in highly congested areas.
  • Optimize resource allocation for public services: By integrating location data with business intelligence, cities can deploy resources like police, medical assistance, and transit where they are needed most.
  • Identify areas with higher risk of incidents: Geospatial datasets combined with crime statistics allow law enforcement to focus efforts on high-risk zones.

While location intelligence provides key insights, its value increases when combined with other business data, such as census bureau statistics, economic indicators, and even weather data for disaster preparedness. 

By integrating these diverse data sources, cities can dive deeper into urban challenges and proactively develop smarter, safer environments.

How location intelligence data enhances city planning

Urban infrastructure development is no longer a game of educated guesses but a precise science driven by data-driven decision-making. 

With location intelligence, urban planners can move beyond broad estimations and base decisions on real-time insights about how people interact with their environment. 

Whether it’s optimizing public transit, planning new urban infrastructure, or guiding economic development, location intelligence ensures that urban growth is strategic, efficient, and sustainable.

Smart resource allocation for public services

Beyond infrastructure, public services such as schools, hospitals, and parks must be strategically placed for maximum accessibility. Location intelligence, when combined with additional city planning data, enables:

  • School and healthcare facility planning: Cities can predict future demand for schools and hospitals based on existing infrastructure and frequently visited areas..
  • Emergency services optimization: Analyzing point of interest and mobility data ensures emergency facilities like fire stations and ambulances are placed in high-need areas.
  • Green space development: Location intelligence helps planners identify areas lacking parks and recreational spaces, promoting balanced urban development.

Zoning and land use optimization

Land use decisions impact everything from residential density to commercial zoning. Geospatial insights enable planners to:

  • Determine optimal zoning regulations: Balancing residential, commercial, and industrial spaces to promote efficient urban growth.
  • Prevent overdevelopment and urban sprawl: Identifying areas that require preservation or controlled expansion.
  • Assess environmental impact: By overlaying air quality measures with location and mobility data, policymakers can prioritize interventions where vulnerable populations are most affected (like schools or hospitals).

Economic development strategies

A city’s economic success depends on understanding market trends and consumer behavior. Location intelligence supports:

  • Site selection for businesses: Analyzing customer movement patterns to identify prime retail locations and boost customer relationship management. 
  • Competitive market analysis: Mapping existing businesses to determine gaps in service and potential investment areas.
  • Tourism and event planning: Understanding visitor trends to strategically place attractions and facilities.

Other real-world location intelligence use cases

  • Public transportation optimization: Cities like Singapore and London use real-time location data to adjust bus and metro frequencies, ensuring efficient commuter flow.
  • Infrastructure investment: Road maintenance and expansion projects in New York City are prioritized based on traffic congestion data and wear analysis.
  • Population growth planning: Fast-growing cities like Dubai and Austin use geospatial analytics to plan new residential zones, schools, and hospitals.
  • Impact assessment of urban development projects: Location intelligence tools help evaluate the effects of large-scale developments like stadiums, shopping centers, or new highways, ensuring they benefit the community.

Choosing a location intelligence data provider

With public safety relying on accurate and timely location intelligence, selecting the right data provider is crucial. 

Here are the evaluation criteria to consider: 

  • Data accuracy and reliability: Consistently updated and verified datasets to ensure and provide insights
  • Global coverage and geographic reach: Supporting cross-jurisdictional safety planning for large metropolitan areas
  • Data privacy and compliance: Ensuring compliance with GDPR, CCPA, and other privacy regulations by using aggregated, anonymized data
  • Integration with other data sources: Compatibility with existing GIS platforms, emergency dispatch systems, and law enforcement databases.
  • Customer support and expertise: Ongoing guidance from GIS specialists

Leading location intelligence providers like Dataplor offer:

  • Aggregated, anonymized data for privacy protection
  • Consistent updates to the data directory to reflect real-time global insights
  • Expertise in analyzing spatial data

The future of smart cities is location intelligence

As urban populations continue to grow, the role of location intelligence in city planning and public safety becomes indispensable. 

Cities that embrace advanced analytics, artificial intelligence, and real-time geospatial insights will be better equipped to handle emergencies, prevent crime, and optimize resource allocation. In addition, they’ll benefit from:

  • Improved infrastructure efficiency, such as optimizing road networks, transit systems, and public safety facilities.
  • Optimized resource allocation in areas such as law enforcement, medical, and emergency resources is used where needed most.
  • More responsive urban environments by leveraging real-time data to adapt to changing urban dynamics.

Are you ready to transform your city’s potential with location intelligence? 

Explore how Dataplor’s data-driven insights can revolutionize urban planning and public safety strategies. Contact us today to get started. 

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Driving retail success: a guide to foot traffic analytics

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Driving retail success: a guide to foot traffic analytics

Geoff Michener
•  Nov 05, 2025  •  5 min read

Retail success goes beyond having a great product. It also relies on getting customers through the door. But how do retailers track foot traffic trends, identify patterns, and measure foot traffic in a way that drives insights? 

The answer is foot traffic analytics, a data-driven approach to understanding customer behavior in physical locations.

Foot traffic analysis is the process of examining external, aggregated foot traffic data to see how many visitors visit a specific location and how these patterns change over time. This data helps businesses optimize marketing, site selection, and the overall customer experience.

Studies show that over 80% of retail transactions still happen in physical stores, making foot traffic one of the highest-value datasets a retail team can have.

What has changed is how fast that knowledge is available. With our Global Platform, a retail team no longer waits on an analyst to pull a report. They ask a question in natural language, for example, “How did foot traffic at our Chicago locations compare to our top 3 competitors last quarter?”, and get a clear, definitive answer with the underlying data available to export.

In this guide, we’ll look at the importance of foot traffic analytics, how businesses can use it to grow, and what to consider when choosing a foot traffic data provider.

The retail landscape: challenges and opportunities

The retail world is undergoing a seismic shift. Traditional brick-and-mortar stores are battling on multiple fronts:

  • Unprecedented competition from e-commerce
  • Rapidly changing consumer behavior
  • Economic uncertainty
  • Technological disruption

Today, physical stores must compete not only with one another but also with digital marketplaces offering unmatched convenience and personalization.

Challenges for retailers include:

  • Changing consumer behavior: Shoppers no longer visit stores just to transact. They expect unique in-store experiences, seamless online-to-offline integration, and personalization. Retailers need foot traffic data to understand customer behavior and adjust their strategy accordingly.
  • Site selection and expansion risks: Choosing the wrong retail location can be costly. Retailers need to analyze foot traffic patterns and demographic data to ensure they invest in the best locations that attract more visitors.
  • Competition and market saturation: With so many businesses vying for the same customers, understanding competitive foot traffic trends is key. Tracking foot traffic near competitor locations can give insights into market gaps and opportunities.

Retailers who use location intelligence and external foot traffic analytics can get a competitive edge by:

  • Identifying ideal locations for new retail stores
  • Refining marketing campaigns based on real-time traffic data
  • Configuring store layouts to get more customer visits
  • Using foot traffic patterns to improve operations

The importance of foot traffic analytics for retailers

Foot traffic analysis is more than just counting how many visitors walk into a store. It gives a complete view of customer movement and engagement so businesses can make data-driven decisions.

Types of foot traffic data include:

  • Aggregated pedestrian counts: Measures overall foot traffic trends in and around a specific location.
  • Competitor foot traffic data: Helps businesses understand consumer behavior at rival locations.
  • Trends over time: This includes tracking seasonal fluctuations, marketing campaign impact, and long-term visitation trends.

Why do retailers need this data?

  • High foot traffic = more customers. Footfall data helps businesses predict revenue.
  • Consistent traffic = loyal customers. Patterns show brand loyalty and customer engagement.
  • Sudden traffic changes = market shifts. A decline in foot traffic can mean an economic downturn or poor marketing efforts.

Strategic applications: turning foot traffic into retail advantage

Retailers should combine foot traffic data with demographic data, point of interest (POI) insights, and market data for the best advantage to their retail strategy.

  • Optimizing site selection: Choosing the right store location is key to success. Analyzing foot traffic and mobility data can show which areas have high commercial potential and steady customer visits. Retailers can avoid costly leasing mistakes by identifying higher foot traffic zones.
  • Hyperlocal marketing: Retailers can use foot traffic data to tailor their marketing. By studying mobile location data, they can launch promotions when traffic is highest, boosting conversion rates.
  • Competitive intelligence: Using foot traffic analysis, retailers can see competitors’ performance. If a nearby store sees a spike in customer data, it may indicate a successful marketing campaign or product launch from which businesses can learn.
  • Performance evaluation: Measuring foot traffic data before and after an event, sale, or ad campaign provides valuable insights. Retailers can analyze foot traffic to adjust future marketing and operations.

Three components of a holistic retail strategy

Retailers today face a complex landscape where estimating foot traffic isn’t enough. To stay competitive, they must combine accurate foot traffic analytics with a broader set of data-driven insights to create a retail strategy. 

By using multiple data sources—including point-of-interest (POI) data, sales performance metrics, and market trends—retailers can get a 360-degree view of customer behavior and optimize store operations.

Here’s how retailers can build a holistic retail strategy by understanding foot traffic so they can better target customers and gain valuable insights:

 1. Point-of-interest data

A physical store doesn’t operate in isolation—its surroundings play a big role in driving customer visits. POI data shows nearby businesses, attractions, transit stations, and landmarks that impact foot traffic trends.

How POI data helps: 

  • High-traffic locations: Stores near restaurants, gyms, or shopping malls will have more foot traffic than standalone locations.
  • Partnership and collaboration: Knowing nearby businesses can help retailers explore cross-promotional opportunities (e.g. a clothing store offering discounts to gym members).
  • Competitor analysis: POI data helps retailers see how competitor locations impact consumer behavior and if opening a store near a competitor would be a wise decision.

2. Aligning sales data with foot traffic trends

Tracking foot traffic patterns is valuable, but businesses must also correlate these numbers with sales performance. A location with high visitor numbers but low conversion rates may indicate issues with store layout, pricing, or product selection.

How aligning sales data helps: 

  • Conversion rate optimization: By comparing foot traffic data with sales data, retailers can see what percentage of visitors buy and adjust their stores accordingly.
  • Product placement: If an area of the store has high foot traffic but low sales, product placement or in-store promotions may need to be adjusted.
  • Traffic vs. revenue gaps: If a store has consistent foot traffic but declining sales, pricing, customer service, or inventory could likely be the issue.

 3. Benchmarking against market trends and competitors

External factors like economic trends, consumer spending habits, and competitor performance all impact success. To develop a holistic strategy, businesses must benchmark their foot traffic data against industry trends and competitor insights.

How benchmarking helps:  

  • Seasonal trends: Comparing year-over-year foot traffic data helps businesses plan for peak shopping periods, staffing, and inventory adjustments.
  • Competitor analysis: Monitoring foot traffic at competitor locations will show which stores are getting more customers and why.
  • Adapting to market changes: If a new shopping mall opens nearby and diverts foot traffic, businesses can adjust their marketing strategy to retain customers.

How to vet the right foot traffic analytics provider

Choosing the right foot traffic data provider is key. Retailers should consider:

  • Data reliability: How accurate and reliable is the foot traffic data?
  • Geographic coverage: Can the provider track specific locations on a global scale?
  • Privacy compliance: Does the data comply with data security laws?
  • Customer support: Can businesses get help interpreting location data?

A quality provider offers reliable, privacy-first foot traffic data, delivered fast enough for businesses to act on it.

Ask a question, get an answer

Our Global Platform changes the equation. Built on data spanning 370 million places, 15,000 brands, and 250 or more countries and territories, it lets retail teams ask a question in natural language and get a direct, definitive answer: no technical team and no drawn-out export process required.

A regional manager can ask how a new store’s foot traffic stacks up against the market average. A store development team can ask which corridors are gaining momentum before a competitor notices. Each question gets a clear answer, with the underlying data behind it available to export in one click.

This is agentic AI at work: it reasons across a global dataset and hands retail teams an answer they can act on the same day.

Transform your retail operations with foot traffic analytics

Foot traffic analytics gives retailers a factual basis for expansion, marketing, and day-to-day operations. What has changed is the speed of that insight. With a Global Platform built for natural language questions, retailers don’t have to wait for an analyst to know what their foot traffic data is telling them. They can ask it directly.

See what the Global Platform can tell you about your markets. Book a demo today.

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Data-driven property valuation: the power of foot traffic trends

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Data-driven property valuation: the power of foot traffic trends

Geoff Michener
•  Aug 08, 2025  •  8 min read

When making commercial real estate decisions, it’s important to go beyond just evaluating the physical location. You also need to understand the local consumer movement patterns 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 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 Commercial Real Estate (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 helps 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 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 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 valuable 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 means 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 offers a comprehensive, reliable, and privacy-conscious approach to location intelligence that transforms data rows 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 General Data Protection Regulation (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 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

Key takeaways

  • Why it matters: Foot traffic is a leading indicator of commercial property potential. Consistent pedestrian movement signals economic stability, while shifts in traffic patterns can flag emerging market opportunities before they show up in traditional metrics.
  • Pair it with other data: Foot traffic is most powerful combined with POI data, economic indicators, and market trends for a full 360-degree valuation picture.
  • What to look for in a provider: Data accuracy and human-verified methodology, true global coverage (not just country count, but local nuance), and strong privacy/compliance practices.
  • Watch for red flags: Be cautious of providers who can’t explain their methodology, lack consistency across global markets, or offer suspiciously cheap solutions.
  • Next step: Request a sample of foot traffic data for a target property to see how the trends hold up before committing to a provider.

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.

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Geofencing marketing: using location data to tailor advertising

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Geofencing marketing: using location data to tailor advertising

Geoff Michener
•  Jul 08, 2025  •  7 min read

The numbers don’t lie: 86% of the global population—a staggering 6.92 billion people—now use smartphones. Americans alone spend nearly four and a half hours daily on their mobile devices. This unprecedented mobile connectivity offers high-reach mobile channels for advertisers, who are expected to spend nearly $400 billion by 2024.

At the heart of effective mobile advertising lies a critical component: location data. 

Understanding where consumers go and what they do forms the foundation of today’s most targeted mobile marketing solutions and strategies. For brands aiming to reach specific audiences globally, geofencing marketing stands out as a particularly effective strategy.

In this article, we’ll explore how geofencing marketing works, its key benefits, implementation strategies, and how high-quality location data fuels successful campaigns.

What is geofencing marketing? 

Geofencing marketing involves creating virtual boundaries around specific physical locations to trigger targeted advertising when mobile users enter those defined areas. 

Unlike broader location-based marketing approaches, geofencing creates precise digital perimeters around points of interest (POIs) such as stores, malls, or event venues.

This approach differs significantly from geotargeting, which focuses on broader areas like cities or zip codes. While geotargeting casts a wider net, mobile geofencing marketing delivers hyper-relevant messages to users at specific locations at precisely the right moment.

When a mobile device enters these virtual boundaries, it can trigger various marketing actions, from sending push notifications and SMS messages to in-app ads and social media content.

Source: Salesforce

Recent research from Factual found that 80% of consumers want location-based alerts and offers from businesses, making geofencing marketing a particularly effective way to engage potential customers. 

However, implementation requires careful attention to privacy regulations like GDPR and CCPA, which govern how location data can be collected and used.

Key benefits of geofencing marketing

What makes geofencing more precise than other targeting methods?
It focuses ad spend on consumers physically near or inside a relevant location, reducing wasted impressions on uninterested audiences.

Why does geofencing improve engagement rates?
Messages arrive while a user is already in “shopping mode,” such as near or inside a relevant location, making them far more likely to act on an offer immediately.

What kind of consumer insights does geofencing provide?
Real-time data on foot traffic patterns, visit frequency, and dwell time, which can inform decisions beyond marketing, like store layout and staffing.

What is geo-conquesting?
Setting up geofencing ads around a competitor’s location to intercept their customers at the moment of a purchase decision.

Can geofencing campaign results be measured?
Yes. Ad impressions, store visits, and conversion rates can all be tracked with precision, giving marketers a clear view of ROI.

Geofencing marketing strategies and best practices

What’s the first step in building a geofencing campaign?
Define a clear objective such as driving foot traffic, boosting sales, or countering a competitor since it shapes fence placement and messaging.

How do you choose where to place a geofence?
Focus on high-traffic locations relevant to your target audience, such as shopping districts for a luxury retailer or office complexes for lunch-hour dining promotions.

What makes geofencing messaging effective?
Location-relevant context. For example, a coffee shop sending a breakfast offer in the morning versus an afternoon pick-me-up later in the day.

Should geofencing be used on its own?
No. It performs best combined with other channels like email, direct mail, and social advertising for broader reach.

What privacy rules apply to geofencing?
Campaigns must obtain proper consent for location tracking and comply with regulations like GDPR and CCPA, with clear opt-out options for users.

How do you improve a geofencing campaign over time?
Through ongoing A/B testing of message formats, fence sizes, timing, and offers, adjusting based on which combinations drive the strongest response.

Dataplor’s POI data: fueling effective geofencing campaigns

The effectiveness of any geofencing advertising campaign hinges on data quality. 

Inaccurate location data can lead to misplaced fences, irrelevant targeting, and wasted ad spend, which can be particularly problematic when expanding into international markets.

Dataplor provides the foundation for successful global geofencing with the following features.

Accurate and Comprehensive POI Data: Dataplor offers meticulously verified point of interest data covering over 250 countries and territories. 

This global positioning system of business locations includes detailed attributes like addresses, operating hours, and category classifications, all essential information for creating relevant geofencing triggers.

Real-Time Updates: Business landscapes change constantly. Stores close, new establishments open, and operating hours shift. 

Dataplor’s data undergoes continuous updating and verification, ensuring that mobile advertising campaigns don’t target defunct locations, which is a common problem with open-source data alternatives.

International Expertise: For brands expanding globally, dataplor provides uniquely valuable international coverage with consistent data schema across regions. 

This uniformity simplifies the process of implementing geofencing across different markets, allowing for truly global campaigns without sacrificing local relevance.

Advanced Mapping: Unlike basic radius-based geofencing tools, dataplor offers precise, advanced mapping of locations. 

This approach allows marketers to define virtual boundaries that match building footprints, significantly improving targeting accuracy and reducing overlap between nearby locations.

Geofencing: where location meets strategy

Geofencing marketing combines physical foot traffic data with digital ad delivery, a powerful convergence reshaping how brands connect with mobile users. 

As location-based technologies evolve, geofencing capabilities will only become more sophisticated, incorporating beacon technology, augmented reality, and deeper integration with mobile apps.

Forward-thinking marketers who recognize that geofencing isn’t merely a tactic but a fundamental shift in how brands can create contextually relevant experiences will gain significant advantages in today’s competitive landscape, but only when built on reliable data.

As mobile device usage continues its upward trajectory, the brands that thrive will be those that communicate with consumers at the right place and time with personalized messages that respect privacy while delivering genuine value.

Don’t miss out! If you’re ready to transform your location-based marketing efforts, the first step is securing accurate, comprehensive location data. 

Key takeaways

  • What it is: Geofencing marketing creates virtual boundaries around specific points of interest (stores, malls, venues) that trigger targeted ads when a mobile user enters. It’s more precise than broad geotargeting by city or zip code.
  • Top benefits: Sharper targeting precision, higher engagement rates (messages land when someone’s already in “shopping mode”), and geo-conquesting (targeting a competitor’s foot traffic to redirect it to you).
  • First steps to run a campaign: Define a clear objective (drive visits, boost sales, counter a competitor), then select high-traffic locations relevant to your audience before writing location-specific messaging.
  • Data quality is the foundation: Accurate, real-time, verified POI data determines whether fences are placed correctly and campaigns avoid wasted spend.
  • Privacy note: Geofencing must comply with regulations like GDPR and CCPA and always secure proper consent for location tracking and offer clear opt-out options.

Dataplor’s globally verified POI database provides the foundation for building geofencing campaigns that genuinely connect with customers—wherever they may be.

Ready to explore how our location intelligence can power your next geofencing marketing campaign? Contact our team today to learn more about our customized data solutions.

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Geofencing data: a strategic asset for modern business

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Geofencing data: a strategic asset for modern business

Geoff Michener
•  Jun 24, 2025  •  9 min read

Have you ever walked into a store and received a perfectly timed discount notification on your phone? Or perhaps wondered how businesses seem to know exactly when you’re near their locations?

The intersection of the physical and digital realms has created powerful new ways for businesses to connect with consumers, but what’s really happening behind the scenes?

At the core of this revolution is geofencing data. Geofencing data is any information generated when a mobile device crosses a virtual boundary set around a physical location.

As mobile devices become ubiquitous personal devices, this data creates unprecedented opportunities for businesses to understand and respond to customer behavior in real time. Geofencing is already reshaping strategy across industries as varied as retail, real estate, logistics, and finance.

What is geofencing data and how does it work? 

Think of geofencing as setting virtual boundaries around real-world places such as your storefront, a rival’s location, or even a busy commercial hub. When someone enters or exits these zones, it triggers a flow of actionable data. That’s the core power of geofencing technology.

Geofencing data is created when a mobile device’s location enters or exits a predefined virtual boundary established around a physical location. These virtual fences typically rely on Global Positioning System (GPS) technology, cellular data networks, Wi-Fi signals, or radio frequency identification (RFID) to detect when a device crosses the established perimeter.

The resulting dataset doesn’t identify specific individuals but instead reveals patterns like:

  • How many devices entered a location
  • How long they stayed
  • What time of day saw peak activity
  • How these patterns change over time

For example, a retail chain might establish geofences around all store locations to understand foot traffic patterns before and after a major marketing campaign.

In fact, businesses using geofencing see a doubled engagement rate compared to standard mobile targeting methods.

What makes geofencing work effectively is its ability to trigger actions based on location context. When a device enters or exits a virtual boundary, geofencing software can automatically collect anonymized data about that movement, providing businesses with valuable insights about location-based behavior while maintaining user privacy.

Strategic applications of geofencing data across industries

Wondering how geofencing data makes an impact in different industries? Here’s what you need to know.

Retail and marketing

The retail sector has emerged as one of the primary beneficiaries of geofencing technology. By understanding how customers move around and between physical locations, retailers can refine their targeted marketing strategy and optimize operations.

Location-based marketing becomes dramatically more effective when informed by geofencing data. Rather than blanketing an entire region with generic advertisements, businesses can deliver targeted advertising and messaging to mobile users based on their geographical location and specific movement patterns. 

For instance, a coffee shop might analyze patterns of devices that regularly visit competitor locations, then tailor specific offers to those potential customers.

Source: Salesforce

In-app and push notifications triggered by geofencing capabilities allow brands to engage customers at the most receptive moments, when they’re physically near a retail store or have just entered a shopping district. 80% of consumers want location-based alerts and are willing to share location data in exchange for relevant offers.

Sophisticated retailers are now using geofencing statistics to understand the relationship between external events and store visits, measuring how weather patterns, local sports events, or even traffic disruptions impact customer flow.

Real estate and urban planning

For real estate developers and urban planners, understanding how the local population moves through space is invaluable. Geofencing data provides insights into which areas receive high foot traffic, when people visit different districts, and how long they typically stay.

By establishing virtual boundaries around different neighborhoods, developers can quantify movement patterns and identify emerging hotspots before they become obvious to competitors. This gives early movers a significant advantage in site selection and property acquisition.

Real estate investors are increasingly integrating geofencing data into their analysis frameworks, using foot traffic as a leading indicator of area desirability and economic vitality. For example, a neighborhood showing increasing dwell time and visit frequency often signals rising property values.

Logistics and operations

The logistics sector has embraced geofencing solutions for both fleet management and asset management. By defining virtual boundaries around warehouses, distribution centers, and delivery zones, companies gain unprecedented visibility into their operations.

Source: Happiest Minds

When a delivery vehicle enters or exits a designated area, geofencing software can automatically log arrival and departure times, eliminating manual check-ins and improving data collection accuracy. This creates a wealth of information for optimizing routes and schedules.

For CPG companies, understanding how products move through distribution networks and into retail environments is critical. Geofencing relies on location tracking to provide visibility into this journey, helping brands ensure optimal product placement and availability.

Beyond traditional logistics, drone management has emerged as a cutting-edge application of geofencing technology. By establishing no-fly zones and operational boundaries, drone operators can automate compliance with regulations and optimize flight paths.

Finance and risk management

Financial institutions are harnessing geofencing capabilities to enhance security and deliver more personalized location services. When customers enter branch locations, sophisticated systems can analyze traffic patterns to optimize staffing and service delivery.

Risk assessment benefits from location data by identifying unusual patterns that might indicate fraud. For example, if a customer’s device enters or exits locations in a pattern inconsistent with their established behavior, additional verification might be triggered.

Investment firms analyze geofencing data to evaluate retail performance, feeding location-based insights into their valuation models. Understanding customer engagement at specific locations provides a competitive advantage when making investment decisions.

Key considerations for leveraging geofencing data

Before you begin to use geofencing data, you need to keep these key factors in mind.

Defining clear objectives

Before implementing geofencing as part of your business strategy, clearly articulate what you hope to achieve. 

  • Are you looking to enhance customer engagement? 
  • Improve operational efficiency? 
  • Gain competitive intelligence? 

The specific goals will determine which aspects of geofencing data are most valuable to your organization.

For location-based triggers to deliver value, they must connect to specific business outcomes. Random data collection without a clear purpose rarely yields actionable insights.

Data accuracy and reliability

The effectiveness of any geofencing campaign depends entirely on the accuracy of the underlying data. Location accuracy can vary significantly based on the technology used (GPS vs. cellular geofencing) and environmental factors.

High-quality geofencing data requires precise latitude and longitude coordinates for each location, consistent monitoring of when a device enters or exits boundaries, and reliable processing of this information. 

Working with experienced providers like dataplor who specialize in location-based services is essential for meaningful results.

Privacy and compliance checklist

  • Comply with relevant regulations such as GDPR, CCPA, and other applicable location-data laws in each market you operate in.
  • Use anonymized, aggregated data. Focus on patterns and trends rather than tracking specific individuals.
  • Avoid identifying individual devices or users. Geofencing data should reveal behavior patterns, not personal identities.
  • Prioritize patterns over individual tracking. This compliance safeguard also tends to produce more strategically useful insights than individual-level data would.

Integration with other data sources

Geofencing data becomes exponentially more valuable when combined with other business intelligence. Integrating location-based insights with customer profiles, transaction histories, and external factors like weather or local events creates a comprehensive understanding of the factors influencing customer decisions.

The messaging effectiveness of location-based marketing improves dramatically when informed by a holistic view of customer context and preferences.

The synergistic power of geofencing data and POI data

While geofencing technology provides information about when and how many people visit locations, Point of Interest (POI) data tells you precisely what exists at each location. When combined, these datasets create an unparalleled view of the relationship between places and people.

Consider these scenarios:

  • A quick-service restaurant chain planning expansion might use POI data to reveal competitor density in various neighborhoods, while geofencing data shows actual foot traffic to those locations. Together, they paint a complete picture of market opportunity.
  • For retail businesses, understanding the correlation between specific store attributes (identified through POI data) and customer visits (measured through geofencing) enables more strategic decision-making about store design, merchandising, and marketing efforts.
  • Mobile apps that leverage both datasets can deliver highly personalized experiences, sending trigger notifications that are contextually relevant to both the user’s location and the specific characteristics of nearby businesses.
  • Media companies can optimize targeted advertisements by understanding both where audiences spend time and what specific businesses or amenities exist in those areas. This allows for more relevant social media ads and mobile ads that connect with consumers at precisely the right moment.

Key takeaways

  • Top business benefits: It sharpens targeted marketing (delivering offers at the moment someone’s near a relevant location), reveals foot-traffic trends for site selection and real estate decisions, and improves operational visibility for logistics, fleet tracking, and fraud detection in finance.
  • Pairs with POI data for a fuller picture: Geofencing shows how many people visit and when; POI data shows what’s actually there. Combining both reveals the full relationship between places and people.
  • Implementation tip 1: Define clear objectives before you start. Engagement, efficiency, or competitive intelligence each point to different geofencing use cases.
  • Implementation tip 2: Prioritize data accuracy and privacy compliance (GDPR/CCPA) from the outset, since geofencing’s value depends entirely on precise, well-governed location data.

FAQ

Q: What is geofencing data?
A: Geofencing data is any information generated when a mobile device crosses a virtual boundary set around a physical location, revealing patterns like visit frequency, dwell time, and peak activity, without identifying specific individuals.

Q: How does geofencing work?
A: Virtual boundaries rely on GPS, cellular networks, Wi-Fi signals, or RFID to detect when a device enters or exits a defined perimeter, automatically triggering data collection or a marketing action.

Q: What data does geofencing provide?
A: It reveals how many devices entered a location, how long they stayed, what time of day saw peak activity, and how these patterns shift over time—all anonymized and aggregated rather than tied to individual users.

Q: How accurate is geofencing data?
A: Accuracy depends on the underlying technology (GPS vs. cellular geofencing) and environmental factors. High-quality geofencing requires precise latitude/longitude coordinates, consistent monitoring of boundary crossings, and reliable data processing. This is why working with an experienced provider matters.

Q: How do you protect privacy with geofencing data?
A: Geofencing should focus on anonymized, aggregated patterns rather than tracking specific individuals, and must comply with regulations like GDPR and CCPA.

Q: Which industries benefit most from geofencing data?
A: Retail and marketing, real estate and urban planning, logistics and operations, and finance and risk management all use geofencing today—for targeted marketing, site selection, fleet visibility, and fraud detection, respectively.

How to harness location intelligence for strategic advantage

The businesses gaining the greatest advantage from geofencing data are those that view it as a long-term strategic asset and a fundamental source of insight that informs decision-making across the organization.

By decoding how people move through the physical world, companies can bridge the online/offline divide and deliver customer experiences that feel seamless, timely, and relevant. Active geofences don’t just track—they reveal patterns, unlock efficiencies, and spark innovation.

As location-based technology becomes more advanced, the winners will be those who build real fluency in geospatial data—collecting it with precision, analyzing it with intent, and acting on it with clarity.

Want to turn location data into a strategic advantage?

Reach out to Dataplor today to explore our global, privacy-compliant geofencing and POI solutions. We’ll help you unlock powerful insights and stay ahead in an increasingly location-aware world.

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Announcing our $20.5M series B to expand global location intelligence and meet growing demand for smarter, compliant data

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Announcing our $20.5M series B to expand global location intelligence and meet growing demand for smarter, compliant data

Geoff Michener
•  Jun 03, 2025  •  7 min read

Today marks another major step forward in Dataplor’s mission to build the world’s most accurate, complete, and comprehensive source of global location intelligence. We’ve successfully closed our $20.5 million Series B funding round, led by F-Prime with participation from Spark Capital, FFVC, Acronym Venture Capital, Space Capital, Two Lanterns, APA Ventures, dara5, and Alumni Ventures.

This new round will accelerate our growth at a critical time, following the launch of our global mobility product and amid a surge in demand for location data that works globally, not just in the U.S.

While the world has become more connected, the data that powers global business hasn’t kept pace. In many international markets, location data remains difficult to access, riddled with inaccuracies, and often sourced from outdated or unverified platforms. Most providers concentrate on the U.S. and Canada, leaving major coverage gaps in high-growth and underserved regions. As a result, businesses are often forced to rely on static data that hasn’t been updated in years. The consequences? Flawed market assessments, inefficient resource allocation, and critical decisions made without a clear view of the ground.

At Dataplor, we built our platform to solve this exact problem: delivering globally scaled, locally verified data that reflects the real world as it is today. As the only single-vendor solution for global location intelligence, Dataplor eliminates the need to cobble together messy, inconsistent datasets, providing clean, deduped, and normalized data from one trusted source.

Scaling the infrastructure for smarter global decisions

With this new funding, we’re doubling down on what makes Dataplor unique: a globally scaled and locally verified approach that blends proprietary AI, machine learning, and native-language human review to deliver dynamic, near-real-time, privacy-first location intelligence, even in the most data-scarce regions.

Our proprietary data now covers over 370 million Points of Interest (POIs) across more than 250 countries and territories, with mobility insights layered on top to show how consumers behave and move across spaces. We’ve also expanded our privacy-compliant foot traffic product internationally, giving customers fresh, actionable insights without ever exposing personally identifiable information (PII).

This funding enables us to:

  • Expand geographic coverage in under-mapped markets
  • Enhance our POI and mobility product suite
  • Support more seamless customer integrations
  • Invest in new talent and technology to further scale our infrastructure

How our customers use Dataplor

Our customers are global businesses solving complex challenges. They rely on Dataplor to power decisions across operations, growth, and risk modeling:

  • Financial services and insurance providers use our POI data to assess property risk and exposure at the building level
  • Retail and CPG leaders tap into our intelligence to find new partners, identify white space, and guide market expansion
  • Logistics and EV infrastructure companies use our mobility data to forecast demand and optimize location strategies

And they do so with confidence, knowing our data is accurate, complete, and fully compliant with international privacy standards.

The road ahead

What sets Dataplor apart isn’t just our tech stack, it’s our team and principles. We’ve built a system that respects privacy, scales globally, and delivers real-world business impact. We don’t track individuals. We don’t scrape data indiscriminately. Instead, we’ve created a new standard for POI and mobility intelligence, one that prioritizes ethics, quality, and transparency.

I’m deeply grateful to our investors, new and existing, for recognizing the importance of this mission. Their support helps us move faster, think bigger, and deliver more value to our customers worldwide.

And none of this would be possible without the incredible team behind Dataplor. From engineers and analysts to customer success and operations, this group shows up every day with the precision, care, and curiosity needed to solve some of the hardest data challenges on the planet. I’m proud to build alongside them.

As we scale our platform, our focus remains the same: to build the most accurate, privacy-first location intelligence platform in the world. Our customers deserve better data, and the global market depends on it.

We’re proud of how far we’ve come, but even more excited about what’s next. If your team is navigating global growth, expansion, or risk modeling and needs location data you can trust, we’re here to help.

Let’s build the future of location intelligence together.

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Introducing Dataplor’s global mobility data: foot traffic insights at scale

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Introducing Dataplor’s global mobility data: foot traffic insights at scale

Geoff Michener
•  May 19, 2025  •  7 min read

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.

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Unlocking the power of mobility data: insights for localized strategies

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Unlocking the power of mobility data: insights for localized strategies

Geoff Michener
•  May 19, 2025  •  7 min read

What is mobility data?

Mobility data provides dynamic insights into visitation patterns across various locations. This data offers valuable information about how people move and interact within the physical world, enabling businesses to make informed decisions.

Unlike static location data which offers a more limited view of business attributes, mobility data reveals trends and patterns in how people visit given locations over time. By analyzing anonymized and aggregated visitation data, businesses can gain a deeper understanding of consumer behavior and make informed decisions about market analysis, site selection, and more. This data provides insights into overall movement trends without compromising individual privacy.

According to MarketsandMarkets, the location data industry is expected to reach $39.2 billion by 2025 as the demand for precise and actionable mobility data across industries grows. 

Location data providers offer valuable data that enables businesses to understand foot traffic patterns, refine location-based targeting, and make informed decisions.

In this article, we will explore the fundamentals of mobility location data, the sources of location data, and how businesses can leverage points-of-interest (POI) and mobility data to develop effective site selection and market expansion strategies. We’ll also look at how location data companies like Dataplor can offer better data accuracy and reliability than unverified, publicly-available location data sources.

Why is mobility location data important?

Mobility location data forms the foundation of modern strategy for businesses that want to get real-time insights into consumer behavior, movement patterns, and local trends. 

Having accurate and up-to-date location data allows organizations to make informed decisions, adapt to changing market conditions, and create highly personalized experiences for their customers.

In today’s competitive landscape, businesses in sectors such as retail, commercial real estate (CRE), transportation, consumer packaged goods (CPG), and more are leveraging mobility data to enhance their operations. 

With localized strategies driven by this data, businesses can:

  • Allocate resources based on foot traffic patterns
  • Identify areas for expansion or investment
  • Deliver location-based advertising

Additionally, unlike static data, mobility location data enables businesses to respond to real-world changes. This means you can track how weather impacts foot traffic or assess the performance of a marketing campaign in specific locations. 

Being able to process location data in real-time allows businesses to stay one step ahead.

For example, imagine a global retail brand like H&M using mobility data to analyze customer movement during peak holiday shopping hours. With this data, H&M can allocate staff and stock to the stores with the most foot traffic. This type of real-time optimization can lead to an increase of in-store sales.

Key use cases of mobility location data

Mobility location data is a powerful tool with a wide range of applications. Its real-time accuracy is essential for making targeted decisions, optimizing operations, and enhancing customer experiences. Below are some of the most popular use cases for mobility location data.

Business applications

Mobility location data is transforming the way businesses operate, providing valuable insights to drive growth and improve decision-making.

Here are the industries where it’s being used most proactively:

Retail

Mobility location data gives retailers a deeper understanding of customer behavior and trends. By analyzing foot traffic patterns, businesses can identify top-performing stores, spot underperforming locations, and measure the effectiveness of marketing campaigns. 

For example, real-time location data can: 

  • Target customers with promotions as they enter specific areas
  • Enable better competitive analysis by allowing retailers to benchmark against nearby competitors
  • Inform site selection by identifying high-traffic areas for future expansion

Real estate

In the real estate sector, mobility location data is highly effective for demand forecasting and property valuation. 

Developers and investors can assess the desirability of a location by analyzing traffic patterns, demographic data, geospatial data, and proximity to amenities. High-traffic areas become more prominent, helping realtors pinpoint prime locations for new developments.

This data-driven approach also sheds light on how seasonal or economic changes impact different areas.

Transportation

Transportation services, from public transit to logistics companies, use mobility location data to enhance efficiency in several ways:

  • Traffic flow analysis helps identify congestion points and develop better routing 
  • Public transportation agencies can optimize schedules based on passenger patterns
  • Ride-sharing services rely heavily on this data to match supply with demand and offer dynamic pricing

Logistics and delivery companies use real-time data to improve delivery times, reduce fuel costs, and ensure timely customer service.

Tourism

Tourism benefits from mobility location data by analyzing tourist flow and popular attractions. 

Travel agencies can identify high-traffic areas and develop strategies to promote lesser-known destinations, enhancing the overall tourist experience. 

This data also highlights underserved areas where new attractions, hotels, or transportation options could be introduced. Local cities and tourism boards can use these insights to improve facilities and infrastructure, providing better services to visitors.

Urban planning and government

Beyond business, mobility location data is transforming communities and public services. From urban development to emergency management, here’s how it’s being used:

Urban planning

Mobility location data gives valuable insights into population density and movement patterns. By analyzing where people are most active throughout the day, urban planners can identify areas that need more infrastructure or services. 

For example, a surge in foot traffic in a particular area may indicate a need for better roads, public transportation options, and opportunities for more commercial and residential development.

Urban growth analysis can be conducted by tracking people and businesses, allowing planners to forecast the expansion of cities and their changing needs. 

This data helps create smarter cities that accommodate growing populations with strategically placed amenities, transport networks, and green spaces.

Emergency response

In emergency situations, mobility location data can significantly improve disaster management. By collecting real-time data from phone locations, GPS devices, and other connected devices, authorities can track movement in affected areas, enabling data-driven decisions for rapid evacuations or aid distribution. 

Additionally, it supports crowd management during emergencies such as natural disasters or large-scale events. 

For example, after the California wildfires, government agencies can analyze historical mobility data to understand which evacuation routes were most heavily traveled. This insight helps inform future emergency planning by identifying where to reinforce infrastructure, or stage resources for faster, safer evacuations.

Source: Frontline Wildfire

By using real-time location data, governments can improve public safety planning, ensuring that resources and interventions are allocated where they are needed most.

Transportation planning

Transportation planning greatly benefits from mobility location data, particularly when addressing traffic congestion and optimizing public transport routes. 

By analyzing real-time traffic flow, transportation authorities can pinpoint congestion hotspots and find alternative routes to minimize delays, improving the overall commuter experience. 

This data can also guide infrastructure development, such as building new roads or expanding public transport in high-demand areas. 

With the mobility data gathered, city authorities can:

  • Optimize bus and train schedules
  • Improve pedestrian safety 
  • Promote environmentally friendly transport options like biking or walking

By tracking movement patterns, authorities can prioritize projects that will most effectively reduce traffic congestion, improve air quality, and make travel easier for residents.

Key takeaways

  • Mobility data reveals temporal, real-world footfall patterns—anonymized and aggregated visitation trends over time, distinct from static location data, without compromising individual privacy.
  • Top business use cases: Retail (site selection, competitive benchmarking), real estate (demand forecasting, property valuation), and transportation (traffic flow analysis, ride-share supply/demand matching).
  • Top public-sector use cases: Urban planning (infrastructure and transit prioritization) and emergency response (evacuation route planning and resource staging during disasters).
  • Verify provider coverage and privacy practices. Since this data is only valuable when accurate and current, confirm a provider’s data reliability and privacy compliance before relying on it for strategic decisions.

Experience the power of localized insights

Mobility location data is a game changer for both businesses and public sector initiatives, enabling localized strategies that deliver tangible results.

With high-quality location intelligence, organizations can unlock opportunities, optimize operations, and create solutions to meet the changing needs of their audience.

At Dataplor, we provide comprehensive, reliable datasets so you can make informed decisions. Our data is tailored to a wide variety of industries and sectors, offering high granularity relative to publicly-available sources.

Gone are lengthy data collection processes, seamlessly integrate our datasets into your existing systems, and process data your way to get the insights you need most.

Benefit from:

  • High-quality data: Complete and accurate datasets for diverse use cases.
  • Custom data feeds: Get the data you need, in the format that suits you best.
  • Dedicated support: Our team will give you the tools and guidance to help you maximize your data’s potential.

Ready to buy location data from a data provider and supercharge your localized strategies, saying no to irrelevant third-party data sources? 

Talk to an expert today or request a free data sample to experience our services and see how we compare to other data providers. 

Get in touch with dataplor today and start unlocking precise, actionable insights to achieve your objectives. 

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