Location Insights by loplat provides a comprehensive data feed of foot traffic visitation for any shopping mall or retail chain in South Korea. Harness our historical foot traffic datasets to discern trends and anticipate future retail visitation outcomes for any prominent chain or individual venue of your choice. By analyzing time-series foot traffic data, you can measure a store's performance, study visitors' residential and workplace patterns, and gain profound business insights through cross-visitation with competing stores.
Data Schema (Field name | Data Type | Description) LOCATION | VARCHAR(48) | Shopping Mall Name DATE | DATE | date (YYYY-MM-DD) COUNT | INT | Unique Visitors Sample Data LOCATION DATE COUNT IFC Mall Seoul 2023-02-01 66,574 IFC Mall Seoul 2023-02-02 60,766 IFC Mall Seoul 2023-02-03 60,769 IFC Mall Seoul 2023-02-04 40,407 IFC Mall Seoul 2023-02-05 32,985 In the provided sample data, we offer a detailed view of the foot traffic patterns for three prominent shopping malls in South Korea: IFC Mall Seoul, iParkMall Yongsan, and Starfield Hanam, specifically for the month of February 2023. com.
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loplat.com
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Single-source
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No API
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Quality Breakdown
loplat is an alternative data vendor. loplat specializes in foot traffic analytics, geospatial data. This vendor has a Vedex Intelligence Score of 19 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.
loplat operates in the following alternative data categories.