Unlock insights with Echo's Catchment Area. Reveal consumer profiles and movement patterns around POIs, enhance site selection, competitor analysis, and customer segmentation with non-PII, GDPR-compliant data. High-quality datasets span industries and countries. Updated daily and normalized monthly.
Xverum’s Location Data is a highly structured dataset of 230M+ verified locations, covering businesses, landmarks, and points of interest (POI) across 5000 industry categories. With accurate geographic coordinates, business metadata, and mapping attributes, our dataset is optimized for GIS applications, real estate analysis, market research, and urban planning.
With continuous discovery of new locations and regular updates, Xverum ensures that your location intelligence solutions have the most current data on business openings, closures, and POI movements. Delivered in bulk via S3 Bucket or cloud storage, our dataset integrates seamlessly into mapping, navigation, and geographic analysis platforms.
🔥 Key Features:
Comprehensive Location Coverage: ✅ 230M+ locations worldwide, spanning 5000 business categories. ✅ Includes retail stores, corporate offices, landmarks, service providers & more.
Geographic & Mapping Data: ✅ Latitude & longitude coordinates for precise location tracking. ✅ Country, state, city, and postal code classifications. ✅ Business status tracking – Open, temporarily closed, permanently closed.
Continuous Discovery & Regular Updates: ✅ New locations added frequently to ensure fresh data. ✅ Updated business metadata, reflecting new openings, closures & status changes.
Detailed Business & Address Metadata: ✅ Company name, category, & subcategories for industry segmentation. ✅ Business contact details, including phone number & website (if available). ✅ Operating hours for businesses with scheduling data.
Optimized for Mapping & Location Intelligence: ✅ Supports GIS, real estate analysis & smart city planning. ✅ Enhances navigation & mapping solutions with structured geographic data. ✅ Helps businesses optimize site selection & expansion strategies.
Bulk Data Delivery (NO API): ✅ Delivered via S3 Bucket or cloud storage for full dataset access. ✅ Available in a structured format (.json) for easy integration.
🏆 Primary Use Cases:
Location Intelligence & Mapping: 🔹 Power GIS platforms & digital maps with structured geographic data. 🔹 Integrate accurate location insights into real estate, logistics & market analysis.
Retail Expansion & Business Planning: 🔹 Identify high-traffic locations & competitors for strategic site selection. 🔹 Analyze brand distribution & presence across different industries & regions.
Market Research & Competitive Analysis: 🔹 Track openings, closures & business density to assess industry trends. 🔹 Benchmark competitors based on location data & geographic presence.
Smart City & Infrastructure Planning: 🔹 Optimize city development projects with accurate POI & business location data. 🔹 Support public & commercial zoning strategies with real-world business insights.
💡 Why Choose Xverum’s Location Data? - 230M+ Verified Locations – One of the largest & most structured location datasets available. - Global Coverage – Spanning 249+ countries, with diverse business & industry data. - Regular Updates – Continuous discovery & refresh cycles ensure data accuracy. - Comprehensive Geographic & Business Metadata – Coordinates, addresses, industry categories & more. - Bulk Dataset Delivery (NO API) – Seamless access via S3 Bucket or cloud storage. - 100% Compliant – Ethically sourced & legally compliant.
Access Xverum’s 230M+ Location Data for mapping, geographic analysis & business intelligence. Request a free sample or contact us to customize your dataset today!
This tailor-made dataset helps businesses to optimize their site selection strategies with methodologies 100% based on foot traffic analytics and predictive modeling.
You will be able to able to determine the ideal areas for the opening of new stores, reducing the investment risks by estimating the expected annual sales in each of the locations derived from the results of the model.
We gather all relevant information regarding the area or city of interest: With 100% data-driven techniques, we collect and analyze information such as: floating population and its sociodemographic characteristics, mobility trends and patterns (visitors trends by days, hours, at a street level), competitors´ presence, traffic mobility, consumers' expenditure in the product or service of interest, among others. Using machine learning techniques, we combine and analyze all the variables to calculate a suitability index that will rank the different areas within the city. The result is a ranking of the most suitable locations in the city or area of interest of the client.
Use Cases
-States, cities and countries heat maps, where you can identify the concentrations of pedestrian and vehicular traffic in any area of interest, and with our data layer of social network people behavior, you'll be able to categorize the transient population by age, gender and purchasing power. -Overview of the potential resident customers in the points of interest. -Estimate the average annual, monthly and per capita expenditures of the population related to any product or service. -Identify which types of products or service are most commonly acquired and from where they're acquired. -Through web swapping, obtain a segmentation of properties by construction area and average price per square meter. -Distinguish the price of the available properties according to their sale and rental price. -Identify the location of competitors and avoid brand cannibalization. -Learn more about your own and the competitors´ points of sale, and identify the mobility and consumption patterns of visitors. -Obtain the potential revenue of any point of sale.
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Unlock insights with Echo's Catchment Area. Reveal consumer profiles and movement patterns around POIs, enhance site selection, competitor analysis, and customer segmentation with non-PII, GDPR-compliant data. High-quality datasets span industries and countries. Updated daily and normalized monthly.