UK Consumer ISA Savings Data 2025 (Sample)

Name: UK Consumer ISA Savings Data 2025 (Sample)
Creator: TFE Group Ltd.
Published: 2025-07-16T11:12:40+08:00

Snowflake2025-07-17 更新2025-07-18 收录

金融数据

消费者行为

数据链接：

https://app.snowflake.com/marketplace/listing/GZ2FQZ1ACEQ3 数据链接链接失效反馈

官方服务：

资源简介：

TFE Group Ltd. is the UK's leading market & competitive intelligence provider for financial services. Our data is collected from thousands of aggregated & anonymised consumers, monthly, across ISA, credit card, pensions, mortgages and investing verticals. **How to use our data** Our 1000+ records of self-reported consumer behavioural segmentation data contains demographic data, provider data & switching intent to identify growth segments, provider success amongst key demographics, segment trends and personas for smarter marketing, retention & strategy. **We have three provider columns: provider_name, current_provider and new_provider.* *Provider_name is for non-transfer data (not interested in a transfer) and the others are for transfer data - where current_provider = current provider and new_provider = destination provider (post transfer).* **Example queries** - Segment Gen Z / Millennial Banking providers - Identify providers with higher than average customer deposits - Identify segments with higher than average transfer (out/in) rates **What this data does not include (but available via API)** - Real-time updates to track sentiment or segment shifts - Timeframe data to segment by seasonality - Provider name normalisation

提供机构：

TFE Group Ltd.

创建时间：

2025-07-16

原始信息汇总

UK Consumer ISA Savings Data 2025 (Sample) - 数据集概述

数据集基本信息

数据集名称: UK Consumer ISA Savings Data 2025 (Sample)
提供商: TFE Group Ltd.
试用信息: 30天免费试用
数据更新频率: 每月
时间覆盖范围: 最近1个月
地理覆盖范围: 英国
云区域可用性: AWS多个区域（包括非洲、亚太等）

数据集描述

数据类型: 消费者行为数据 & 市场情报
数据来源: 来自数千名聚合和匿名化的消费者，涵盖ISA、信用卡、养老金、抵押贷款和投资等领域。
数据内容: 包含1000多条自报消费者行为细分数据，涵盖人口统计数据、提供商数据和转换意向。

业务需求

受众细分: 按年龄和收入对英国消费者储蓄进行细分。
需求预测: 识别ISA存款人，预测潜在收入影响。
客户获取: 识别细分趋势，定制广告策略。
市场分析: 全面了解英国ISA市场和竞争格局。
风险分析: 识别关键人口和细分市场的风险和利率敏感性。
情感分析: 识别消费者对提供商的偏好和情感变化。

数据字典

表名: ISLA_FINAL
字段:
- ISA_TYPE (Varchar)
- AGE_GROUP (Varchar)
- ANNUAL_INCOME (Varchar)
- INITIAL_DEPOSIT (Number)
- MONTHLY_DEPOSIT (Number)
- PROVIDER_NAME (Varchar)
- TRANSFER_ISA (Boolean)
- CURRENT_PROVIDER (Varchar)
- NEW_PROVIDER (Varchar)
- INTEREST_RATE (Number)
- IS_FIRST_ISA (Boolean)
- PROMO_ACTIVE (Boolean)
- VARIABLE_ACTIVE (Boolean)
- YEARS (Number)

使用示例

高收入Gen Z储蓄者的银行偏好: sql SELECT PROVIDER_NAME, COUNT(*) as user_count, AVG(CAST(INITIAL_DEPOSIT AS NUMBER)) as avg_deposit FROM ISLA_FINAL WHERE AGE_GROUP = 18-24 AND CAST(INITIAL_DEPOSIT AS NUMBER) > 5000 GROUP BY PROVIDER_NAME ORDER BY user_count DESC, avg_deposit DESC LIMIT 10;
长期ISA储蓄者行为: sql SELECT YEARS, AGE_GROUP, COUNT(*) as user_count, AVG(CAST(INITIAL_DEPOSIT AS NUMBER)) as avg_initial_deposit, AVG(MONTHLY_DEPOSIT) as avg_monthly_deposit, AVG(CAST(INTEREST_RATE AS NUMBER)) as avg_interest_rate FROM ISLA_FINAL WHERE YEARS IS NOT NULL AND CAST(YEARS AS NUMBER) BETWEEN 1 AND 20 GROUP BY YEARS, AGE_GROUP ORDER BY CAST(YEARS AS NUMBER), AGE_GROUP;
高价值ISA转换者: sql SELECT CURRENT_PROVIDER, NEW_PROVIDER, COUNT(*) as switch_count, AVG(CAST(INITIAL_DEPOSIT AS NUMBER)) as avg_deposit FROM ISLA_FINAL WHERE TRANSFER_ISA = Yes AND CURRENT_PROVIDER IS NOT NULL AND NEW_PROVIDER IS NOT NULL AND CAST(INITIAL_DEPOSIT AS NUMBER) > 10000 GROUP BY CURRENT_PROVIDER, NEW_PROVIDER ORDER BY switch_count DESC;