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UK Household Acorn Segmentation – 57 Types at UPRN Level

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Snowflake2022-04-21 更新2024-05-01 收录
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https://app.snowflake.com/marketplace/listing/GZSVZ1K7UI
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资源简介:
Household Acorn provides **household-level geodemographic segmentation for every UK residential address**, classifying each household into **5 Categories and 57 detailed Household Types**. Using **UPRN (OS NLPG) or UDPRN (PAF)** identifiers, the dataset enables precise, address-level demographic insight that goes beyond postcode averages. Unlike postcode segmentation (typically covering ~15 households), Household Acorn recognises that households on the same street may differ significantly in life stage, affluence, family structure, and behavioural characteristics. This granular approach allows organisations to profile customers, residents, or service users with greater accuracy and tailor engagement strategies accordingly. What’s Included **Coverage** - All current UK household addresses - Full household-level classification **Segmentation Structure** - 5 Categories (aligned to core Acorn framework) - 57 Household Types - 3 Non-Private Household Types **Fields Available** - OS NLPG UPRN or PAF UDPRN - Full Address - Household Acorn Category - Household Acorn Type **How It Works in Snowflake** 1. Join Household Acorn to your customer or address dataset using UPRN/UDPRN 2. Append segmentation attributes to CRM, transaction, or behavioural data 3. Analyse demographic trends directly in Snowflake 4. Aggregate to postcode, catchment, local authority, or regional level Supporting materials such as pen portraits and knowledge sheets are included to aid interpretation and activation. **Key Benefits** - True household-level precision - Improved targeting and campaign ROI - Enhanced deprivation and vulnerability identification - Better customer journey optimisation - Seamless integration into Snowflake analytics workflows
提供机构:
CACI Ltd
创建时间:
2022-04-14
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集为英国每个住宅地址提供家庭级地理人口细分,包含5个主要类别和57种详细家庭类型,通过UPRN/UDPRN标识符实现精准匹配。支持客户分析、营销策略优化及人口趋势研究,可直接在Snowflake平台进行数据整合与分析。
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