遇见数据集

PSYTE™ US

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Databricks2024-09-26 收录
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**Overview** This is a free sample of Precisely's PSYTE™ US product covering the San Francisco, CA area. The full USA product is available as Paid access. Contact Databricks.partnership@precisely.com for full product licensing information. PSYTE™ US Geodemographic segmentation data provides users with an easy-to-understand classification of neighborhoods. The average age, income, education, preferences, and much more allow for data-driven personalization. Designed with quality, accuracy, and privacy in mind, geodemographic segmentation deepens customer insights, to improve the characteristics and behaviors of populations in specific geographic areas. **Use cases** **Location Planning** Analyze demographics of different vicinities when establishing the ideal location for new stores or services. **Customer Insights** Better understand audiences based on lifestyle, interests and other factors needed for personalized marketing and product strategies. **Investment Analytics** Assess new markets for potential risks and opportunities based on economic and social conditions. **Logistics and Delivery Planning** Identify preferences of selected audiences, to better manage stock levels and availability of products in different locations. **Emergency Planning** Access insights into the demographics of specific regions for more effective governmental and public sector policy planning, emergency services deployment, route evacuations, and more. **Product details** PSYTE™ US is a powerful geodemographic classification system that segments US Census Blocks into one of twelve lifestyle groups and 63 mutually exclusive neighborhood types, describing each with a short label. Product data is built on a 2020 Census Block geography base. Demographic and socioeconomic features are tabulated or modeled down to the Census Block level, utilizing the Census Bureau's Demographic and Housing Characteristics data along with annually updated American Community Survey data, plus Precisely's GroundView and Property Attributes products. **Details:** • 63 clusters, grouped into 12 Groups, provide users the total solution for understanding the core traits of US consumer households. • 7 drill-down levels in 3 categories for refined analytics • Income Property: Value Property: Tenure Property: Type Property: Urban/Rural Life stage: Age Life stage: Household Composition For more details, refer to the embedded notebook. **Additional Insights** https://help.precisely.com/search/documents?query=psyte&filters=ProductType_clean~%2522Data%2522&virtual-field=title_only&content-lang=en-US https://www.precisely.com/press-release/precisely-launches-psyte-us-geodemographic-data-enabling-businesses-to-reach-their-ideal-audience

提供机构:
Precisely
搜集汇总
数据集介绍
PSYTE™ US 数据集图片
背景与挑战
背景概述
PSYTE™ US是一个基于2020年美国人口普查区块的地理人口统计细分数据集样本,覆盖旧金山地区,完整版需付费获取。它将区域划分为12个生活方式组和63个邻里类型,提供年龄、收入和教育等数据,用于客户洞察、位置规划和投资分析等场景。
以上内容由遇见数据集搜集并总结生成
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