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Activity: GeoPersona Segment - Brands - FR

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Snowflake2024-05-14 更新2024-05-21 收录
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https://app.snowflake.com/marketplace/listing/GZ2FRZ631NN
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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 London 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. Available in the United States and the EU5 (France, Germany, Italy, Spain, United Kingdom). 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) Country Coverage:<br/>Our data is accessible in the following countries: France, Italy, Spain, Germany, United States, Great Britain. 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 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.

GeoPersona是一款先进的地理亲和度分析工具,可识别对特定消费活动(如体育运动)具有高亲和度的人群的居住邮政编码区域。其核心实现路径为分析人群的到访行为模式。例如,通过分析路易威登(Louis Vuitton)门店的到访行为模式,该工具可定位伦敦市内喜爱路易威登的人群的居住邮政编码区域。 通过对复杂到访模式与地理空间行为的分析,GeoPersona可将原始移动数据转化为可落地的商业洞察。企业可借助该精细化分析精准锁定潜在客户的居住区域,从而显著优化营销策略、优选门店选址并提升客户体验。该服务覆盖美国与欧盟五国(法国、德国、意大利、西班牙、英国)。 ### GeoPersona的核心价值何在? - **意向强指示器**:线下到访相比线上浏览更能体现用户的消费意向。例如,相比仅在线浏览电影票的用户,亲临影院的用户显然对电影内容拥有更高的兴趣。 - **非个人可识别信息(Non-PII)数据**:随着隐私保护标准日益严苛,基于设备ID追踪线上行为的难度不断提升,聚合式洞察将成为主流趋势。GeoPersona正是通过邮政编码层级的亲和度聚合来实现这一目标。本数据集均为非个人可识别信息,且符合通用数据保护条例(GDPR)要求。 ### 数据集字段包含: - 邮政编码 - 邮政编码名称 - 区域名称 - 国家代码 - 品牌 - 区域亲和度指数 - 全国亲和度指数 - 季度区间 - 人口数量 - 家庭户数 - 购买力(人均与家庭维度) - 人口统计数据(年龄、年龄与性别维度) ### 覆盖国家 我们的数据可在以下国家使用:法国、意大利、西班牙、德国、美国、英国。 ### 附加说明 - 我们按季度提供数据聚合服务。 - 有关本数据集的详细信息(包括覆盖国家与数据架构详情)可通过以下链接获取: 1. GeoPersona数据架构:https://docs.echo-analytics.com/geopersona/data-schema 2. GeoPersona覆盖国家列表:https://docs.echo-analytics.com/geopersona/country-coverage 3. GeoPersona分析方法论:https://docs.echo-analytics.com/geopersona/methodology 4. GeoPersona可提供的细分分类体系:https://docs.echo-analytics.com/geopersona/segments-taxonomy Echo始终秉持客户至上的服务理念,凭借卓越的数据质量与专业团队,为您的位置数据全流程提供360°全方位支持。我们将处理所有复杂环节,为您交付可直接用于分析的数据集。
提供机构:
Echo Analytics
创建时间:
2024-04-24
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