five

ConsumerView

收藏
Snowflake2022-05-27 更新2024-05-01 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZTDZ5LRC1
下载链接
链接失效反馈
官方服务:
资源简介:
ConsumerView provides a single, definitive and consistent view of the UK adult population including a broad and accurate range of demographic, socio-economic and behavioural characteristics on both adults and households in the UK. Containing a range of actual and modelled attributes, segmentations and propensities, relevant to any industry. It can help to enrich your customer information for insight and to more effectively manage the customer relationship. Tables and Fields include but not limited to: Demographic: - Age band - Gender - Presence / Number / Age (band) of children - Employment status - Lifestage - Household Composition - Marital status Finance & Insurance: - Affluence - Person / Household income - Financial sophistication index Shopping & Mail Order: - Preferred grocery shop - Weekly supermarket spend (bands) - Willing to pay more for environmentally-friendly goods News & Magazines: - Newspaper readership - Main daily newspaper - Source of news used in the last 30 days Automotive: - Car type - Number of cars owned - Main car - New / Used Travel: - Most recent holiday type - Total spend on most recent holiday Property & Utilities: - Property type - Property value - Property build year - Length of residency - Number of bedrooms How the data flow process works: Snowflake user will make available their customer and / or prospect lists with Experian by extracting the file from their account and sharing via Experian’s secure file transfer application. Subject to a signed contractual agreement, Experian will match the customer file(s) against ConsumerView and where a match is found, will append the required datasets to the customer file(s). Experian will return the customer file via Snowflake's secure data share. Experian's Linkage capabilities provide increased match rates between customer files and ConsumerView. Matching using combinations of full name, UK postal address, postcode, email address and mobile telephone number are all viable matching data points.
提供机构:
Experian UK
创建时间:
2022-05-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作