遇见数据集

GeoPersona: Identify New York postal codes with frequent Louis Vuitton shoppers

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Snowflake2024-06-10 更新2024-06-15 收录
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GeoPersona is an advanced analytics tool that identifies residential postal codes where people with high affinity for specific consumer activities, such as sports, live. It does so by analyzing people’s visitation patterns. For instance, it can reveal the postal codes in New York where people interested in Louis Vuitton live by analyzing visitation patterns to Louis Vuitton store. This analysis of complex visitation patterns and geospatial behaviors allows GeoPersona to transform raw mobility data into actionable insights. Businesses can use this sophisticated analysis to pinpoint where potential customers live, significantly enhancing marketing strategies, optimizing site selection, and improving customer experiences. Why is GeoPersona Important? - Strong Indicator of Intent: A physical visitation is stronger indicator of intent than simply browsing online. For example, a person who physically visits a movie theater is more likely to be interested in movies than a person who just browses for movie tickets online. - Non-PII Data: With privacy guardrails becoming stronger with time, it will become more challenging to track online behavior at a device ID level, making aggregated insights the norm. GeoPersona does just this with postcode-level aggregation of affinities. This data is non-PII and GDPR-compliant. Dataset Attributes Include: - Postal Code - Postal Code Name - Region Name - Country Code - Brand - Affinity Index Regional - Affinity Index National - Quarter Range - Population - Households - Purchasing Power (Per Capita & Household) - Demographic Data (Age, Age & Gender) <br/>Country Coverage:<br/>Our data is accessible in the following countries: France, Italy, Spain, Germany, United States, Great Britain.<br/><br/>Additional Information: - We provide data aggregation on a quarterly basis. - Information about our dataset, including details on our country offerings and data schema, is available here: 1. GeoPersona Data Schema: https://docs.echo-analytics.com/geopersona/data-schema 2. GeoPersona Country Availability: https://docs.echo-analytics.com/geopersona/country-coverage 3. GeoPersona Methodology: https://docs.echo-analytics.com/geopersona/methodology 4. GeoPersona Segments Offered: https://docs.echo-analytics.com/geopersona/segments-taxonomy 5. GeoPersona Brands per Country Offering; https://docs.echo-analytics.com/geopersona/brands-by-country Echo's commitment to customer service is evident in our exceptional data quality and dedicated team, providing 360° support throughout the location data journey. We handle the complex tasks to deliver analysis-ready data sets to you.

提供机构:
Echo Analytics
创建时间:
2024-04-23
搜集汇总
数据集介绍
GeoPersona: Identify New York postal codes with frequent Louis Vuitton shoppers 数据集图片
背景与挑战
背景概述
GeoPersona是一款高级分析工具,通过分析人们访问Louis Vuitton等商店的规律,识别出纽约市对奢侈品购物有高亲和力的居民邮政编码,从而将原始移动数据转化为可操作的营销洞察。该数据集包含邮政编码、品牌、亲和力指数、人口统计等属性,且为非PII、GDPR合规数据,支持企业优化选址和客户体验。
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