The Complete Guide to Location Intelligence for Business

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Location intelligence reveals patterns and trends of how people interact with the physical world. From marketing strategies to supply chain management, these tools can transform how we understand and engage with our surroundings to drive innovation and competitive advantages. 

This guide is tailored for software companies, retailers, advertisers, real estate firms, and any business professional looking to harness the power of location intelligence. We will explore the what, why, how, and where of location intelligence, demystifying technical jargon and providing practical guidance for integrating this tool into your business strategy.

The Basics of Location Intelligence

At its core, location intelligence is the process of deriving meaningful insights from geospatial data to optimize business operations and experiences. It’s about understanding where people go, which helps with things like understanding consumer behavior, performing market analyses, and planning marketing campaigns.

Consider how an advertiser strategically places out-of-home ads in popular shopping areas. This isn't guesswork; it's the result of detailed, location-based insights that help businesses identify the best spots to reach their target audience.

What Is Location Intelligence and How Is It Gathered?

Location intelligence is the analysis and visualization of geospatial data, which includes mobile device data, satellite imagery, demographics, and weather data. Integrating this data into maps or dashboards uncovers particular insights about human behavior that inform business decisions. Essentially, it allows businesses to grasp ‘where’ and ‘why’ things are happening. 

The field of location intelligence ranges from simple demographic mapping to complex algorithms that predict future consumer behaviors. It all starts with data collection, which most often originates from GPS data derived from mobile devices.

Geofencing, a location-based service that allows a company to define a virtual perimeter around a real-world area, is another tool used to collect data on customer presence and behavior. This information is then processed and analyzed to provide actionable insights.

Understanding the Technologies

Geographic Information Systems (GIS), spatial analysis, and mapping software are the essential technologies driving location intelligence. These tools can visualize data in geographic formats, create predictive models, and offer a wide array of analytical features.

Geographic Information Systems (GIS) are designed to store, manipulate, and manage all types of geographical data. The power of GIS lies in its ability to link data to a location, creating a dynamic way to visualize and understand patterns and relationships in the data through maps. This technology is integral for businesses that rely on accurate geographical data for decision-making, such as in urban planning, environmental conservation, and emergency management.

Spatial analysis involves examining the positions, attributes, and relationships of features in spatial data through methods such as overlay analysis, buffer analysis, and network analysis. Spatial analysis helps businesses interpret and extract valuable insights from GIS data, enabling them to predict trends, such as consumer behavior patterns or optimal locations for new stores or services.

Mapping software offers a more accessible approach to visualizing geographic data and is often used for creating straightforward maps that can be integrated into presentations, reports, or online platforms. While GIS can create maps, mapping software is typically less complex and more user-friendly, focusing on the visual aspect rather than deep data analysis or management.

Location Intelligence Solutions

Unacast provides location intelligence solutions based on mobile location data. Mobile location data is primarily collected through mobile apps that request permission to access a user’s location. When granted, these apps—often using embedded third-party SDKs—gather anonymous mobile advertising IDs (MAIDs), GPS coordinates, and timestamps as users move through the physical world. 

Unacast collects these raw data signals from a variety of vendors to process and enrich each signal to transform them into refined and usable data and analytics products. Our clients range from technology companies in advertising, logistics, software, real estate, retail, and more.

The products derived from this raw data range in complexity and use cases. 

  • Unacast’s device-level data is for enterprises that require granular location-based insights, whether in the US or globally. These data products can be used to generate more precise digital audiences, measure offline attribution, discern disruptions in supply chains, and detect fraud. Organizations can implement Unacast data in their own products or solutions, scoped and delivered to their exact specifications.
  • Unacast’s foot traffic data sets deliver aggregated location data designed for actionable analysis. The data provides detailed insights into visit patterns, such as frequency, dwell time, and visit duration at the venue level. This enables smarter decisions around site selection, competitive analysis, and campaign measurement. Built on a robust panel of location signals and enriched with contextual data, Unacast’s datasets are trusted by analysts across retail, real estate, urban planning, and more.
  • Unacast’s location insights platform is powered by the same data that underpins its foot traffic and device-level data products. Built to simplify decision-making, the platform helps users analyze and summarize movement patterns, visit trends, and demographic shifts instantly. Users can explore foot traffic and trade areas through a visual, easy-to-use interface and dive into specific locations to uncover granular behavioral insights. It’s designed for anyone who needs fast, actionable intelligence from complex location data without a data science team.

Benefits of Location Intelligence

Location intelligence offers transformative benefits across various business operations, providing a competitive edge through data-driven insights.​

Enhancing Customer Experiences

By analyzing location data, businesses gain a deeper understanding of customer behaviors and preferences. This enables personalized marketing strategies and tailored services that resonate with specific demographics. For instance, retailers can identify high-traffic areas, and with a clearer idea of who visits these areas, can make sure its products and promotions will resonate with possible customers. Moreover, understanding the demographics of these visitors allows for more targeted promotions by aligning marketing efforts with the geographic distribution of potential customers to increase engagement and conversion rates.​

Optimizing Operational Efficiency

Integrating location intelligence into supply chain management allows companies to streamline logistics by analyzing traffic patterns and delivery routes. This leads to reduced transportation costs and improved delivery times. Businesses can also strategically position warehouses and distribution centers based on proximity to key markets and suppliers, enhancing overall operational efficiency.​

Conducting Comprehensive Market Analysis

Location intelligence empowers organizations to perform detailed market analyses by overlaying demographic data with geographic information. This approach helps in identifying emerging market trends, understanding regional demand variations, and assessing the competitive landscape. Companies can pinpoint underserved areas, tailor products or services to meet local needs, and make informed decisions about market entry or expansion strategies.​

Implementing Effective Risk Management

Location intelligence plays a critical role in preparing for and responding to natural disasters. By analyzing historical mobility data and foot traffic patterns, businesses and public agencies can understand how people move during emergencies. This insight can inform better evacuation planning, optimize the placement of emergency services, and improve communication strategies. Incorporating location data into disaster response models helps reduce risk, save lives, and ensure faster recovery.

Fraud Detection and Prevention

Location intelligence helps identify fraudulent behavior, particularly in sectors like finance, insurance, and e-commerce. By comparing real-time activity to established geographic norms, companies can flag anomalies such as sudden changes in user location, unusual purchase patterns, or transactions from high-risk areas. This proactive layer of fraud detection helps prevent losses and adds an important dimension to digital security strategies.

Industry Applications of Location Intelligence

The versatility of location intelligence extends across multiple industries:​

  • Advertising: Crafting location-based marketing campaigns that target audiences with precision, enhancing the relevance and effectiveness of advertisements.
  • Software: Utilizing location intelligence APIs to power software platforms for predictive modeling, identity resolution, foot traffic measurement, advertising, or other creative use cases.
  • Logistics: Enhancing route planning, managing fleet operations, and improving supply chain visibility to ensure timely deliveries and cost reductions.​
  • Retail: Utilizing geospatial analysis for site selection, understanding shopping behaviors, and optimizing inventory based on regional preferences.​
  • Real Estate: Assessing property values, forecasting market trends, and identifying optimal locations for development projects.

Location Intelligence Tools

The market for location intelligence tools is growing rapidly, with a variety of platforms catering to different use cases. Some popular tools include:

  • Unacast: The market leader in location intelligence solutions, with offerings for every level of sophistication in data analysis.
  • Esri: The leader in GIS technology, offering GIS mapping software and solutions for all industries.
  • Carto: A spatial analytics platform for geospatial analysts.
  • Safegraph: The leading point-of-interest (POI) data provider.

Location Intelligence Accuracy

One of the most critical aspects of location intelligence is the potential for fraudulent or flawed data. Poor-quality data leads to unreliable insights and decisions. Organizations must ensure that the location data they collect and analyze is precise and up-to-date.

Improving Data Accuracy

To improve data quality, businesses should:

  • Work with providers that adhere to a rigorous methodology for data suppliers, including deduplication, merging, forensic flagging, and cleaning data.
  • Employ data validation techniques, like forensic flagging, to filter out anomalies and errors.
  • Utilize sources that are trusted in their industry and have been time-tested.
  • Rely on datasets that are regularly updated and have enough coverage to reflect changes in the environment, customer behavior, and other factors.

Stages of Location Intelligence

These terms are often used interchangeably but refer to distinct stages of the location intelligence process.

  • Location Data: Raw data points, such as coordinates or addresses, that pertain to a specific geographical location.
  • Location Analytics: The interpretation and analysis of location data to extract meaningful patterns, correlations, and other insights.
  • Location Insights: The actionable results derived from location analytics, providing strategic and operational guidance for a business.

Location intelligence is no longer a niche advantage. It’s a core capability for businesses that want to stay ahead. From understanding customer behavior to optimizing operations and reducing risk, it empowers smarter decisions grounded in real-world movement. Explore how Unacast’s location intelligence tools platform can help your business unlock new advantages. Book a call with one of our experts today.

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Frequently asked questions

Is My Company Ready for Location Intelligence?

If you want to gain a deeper understanding of your customers, optimize business performance, or improve decision-making with human mobility context, your company is ready for location intelligence. If you don’t have a sophisticated data science team, you can still work with location insights through our easy-to-use platform.

How Do You Ensure Data Privacy with Location Intelligence?

Data privacy is critical, especially with location-based data. Ensuring compliance with regulations like GDPR, pseudonymizing personal data, and having transparent policies on data collection can help maintain customer trust.

What Are Common Mistakes in Implementing Location Intelligence?

Some common mistakes include not setting clear objectives, using poor-quality data, and neglecting to keep up with technological advancements in the field. Unacast’s team of advanced machine learning experts ensure that our data is constantly updated with the latest technologies.

What Does the Future of Location Intelligence Look Like?

The future of location intelligence is incredibly promising, with advancements in machine learning and AI set to revolutionize spatial patterning and prediction. We're likely to see even more personalized experiences and hyper-localized services as businesses refine their location-based strategies.

Conclusion

The integration of location intelligence into business operations is a necessity as leaders strive for ever more efficiency and optimization. Whether you're mapping out your next marketing campaign, planning a brick-and-mortar expansion, or fine-tuning your online delivery routes, location intelligence can guide you to success. With the right tools, the right data, and the right mindset, the possibilities are endless for businesses exploring the world through location intelligence.

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