PREDIK Data-Driven I Places Data, Foot Traffic and POI Data I Enriched Dataset to Analyze User Patterns & Preferences For USA & Mexico I +3B records

Our "Visitation Places Dataset" will provide you a detailed view of events in 6-hour intervals. It includes aggregated foot traffic and point of interest information on the name and category of the visited location and an estimate of the visitor's income. Common use cases for this dataset: Case 1: Study and analyze movements of large populations through an established period. - Example 1: Measuring daily visits to points of interest in 2023. - Example 2: Share of visitors between two competing franchises. Case 2: Segment visitors - Example 1: What is the top 1%'s favorite clothing shop/brand? - Example 2: Which colleges cater to a higher socioeconomic level audience? - Example 3: Where are the tourists staying? Which attractions are they visiting? Case 3: Detect movement trends Example 1: Where are the people who landed on the local airport going next? Where did they come from? Case 4: Audience creation and comparison More about this dataset: Each record represents a visit to a location by a mobile device. Also, each record exposes the visit, the device used, and the location. Device: - Device id - Home location (lat,lng) - Home census block group - Household income Location: - Address - Place Name - Place Category - Place Brand - Place contact information - Area Visit: - Coordinates - Date and time - Dwell time - Previous visit coordinates How do we gather information? At PREDIK Data-Driven, we care about data privacy. We are GDPR and CCPA compliant. We only use aggregated and anonymized data from official public and private sources. As part of our ethical data approach, we never compromise any company's or individual's integrity. In 2023, we were listed as Datarade's top providers. Why? Our places data, aggregated foot traffic data, and point of interest (POI) data solutions adapt to a company's specific needs. Also, the PREDIK methodology focuses on the client and the necessary elements for the success of their projects.

搜集汇总

背景与挑战

背景概述

该数据集提供美国与墨西哥超过30亿条记录的聚合访客流量和兴趣点数据，以6小时间隔呈现，包含位置名称、类别及访客收入估计等信息。每个记录基于移动设备访问，涵盖设备标识、家庭位置、访问时间、停留时长等字段，支持人口流动分析、访客细分、趋势检测和受众创建等场景。数据来源合规，采用聚合匿名化处理，确保隐私保护。