Borrowers, Spenders & Investors – AI Propensity Audiences

Name: Borrowers, Spenders & Investors – AI Propensity Audiences
Creator: Data Axle
Published: 2025-08-22 16:24:48
License: 暂无描述

Snowflake2025-08-22 更新2025-08-23 收录

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https://app.snowflake.com/marketplace/listing/GZSTZVA0O9QX

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资源简介：

Data Axle’s Borrowers, Spenders & Investors Audiences help financial institutions, credit providers, and fintech platforms engage individuals showing strong intent to borrow, spend, or invest. By combining verified financial attributes with AI-modeled behavioral propensities, these segments enable highly personalized, scalable outreach across credit, banking, and investment ecosystems. Data Axle, formerly Infogroup, has been a trusted provider of data-driven solutions since 1972. It has coverage of over 95% of U.S. adults and households. Data Axle combines deterministic offline and online sources—voter files, utility connects, real estate, and more—to create enriched, actionable consumer profiles which can be consumed directly within your Snowflake environment. ## What Sets Us Apart: - Unlike traditional forecasting models built on static rules or demographics, our AI engine continuously learns and adapts, using thousands of behavioral, attitudinal, and transactional signals to generate nuanced audience definitions - Trained on expansive offline PII data, utilizing all signals (not just age/income) - Scores every individual (0–1) by propensity to act - Optimized for personalized targeting, next-best action, and cross-sell models - Built for scalable segmentation, enrichment, and omnichannel activation ## Key Attributes - Credit activity: auto loans, personal loans, credit card usage, refinancing signals - Investment readiness: traditional portfolios, retirement accounts, digital assets - Digital finance adoption: online banking, fintech usage, neobank enrollment - Spending power: lifestyle purchases, BNPL indicators, loyalty program behavior - Household income, risk tolerance, and financial goal orientation - Verified PII from tax assessments, real estate, and financial records ## Segment Categories Each category includes multiple AI-scored segments – below are illustrative examples and business applications. New categories are released regularly. - Active Credit & Loan Seekers – In-market for credit cards, personal loans, auto financing, or mortgage products Use case: Target with rate promotions, pre-qualification campaigns, and financing offers. - High-Spending Consumer Profiles – Retail, lifestyle, and travel-heavy spenders with openness to credit and BNPL options Use case: Promote rewards cards, flexible payment solutions, and premium banking tiers. - Financial Optimizers & Savvy Planners – Rate-sensitive, rewards-maximizing individuals with cross-product shopping behavior Use case: Deliver competitive comparisons and trigger-based campaigns for product switchers. - Investment-Ready Individuals – Stock, mutual fund, and retirement investment intenders; includes digital asset interest Use case: Acquire new users for wealth platforms, trading apps, and managed account solutions. - Financially Upscale & Creditworthy Segments – High credit score, multi-product financial relationships, and low risk profiles Use case: Upsell private banking, bundle home/auto/life insurance, or promote high-limit products. - Banking & Fintech-Engaged Consumers – Users of mobile banking, digital wallets, neobanks, and alternative finance apps Use case: Increase fintech adoption, boost engagement with digital products, or retarget dormant users. ## Key Features - AI-scored financial intent and readiness per individual (0–1) - Derived from 100+ offline and digital behavioral sources - Scores available for credit, spend, save, invest, and manage behaviors - Prebuilt and custom segments available for rapid deployment - Supports HEM, match key, and identity spine integration for activation ## Use Cases - Acquire new credit, banking, or insurance customers - Boost investment platform and robo-advisor adoption - Reactivate dormant financial users or cross-sell between products - Optimize targeting for premium card offers and digital lending services - Target behaviorally aligned audiences for BNPL, PFM, and savings tools - Segment users for financial coaching, insurance education, or retirement planning ## Next Steps - Request listing access - Data Axle team will contact you to finalize audience, data cut, and delivery method / frequency - Need a Custom Audience? We deliver tailored segments within 5–10 business days

提供机构：

Data Axle

创建时间：

2025-08-22

原始信息汇总

Borrowers, Spenders & Investors – AI Propensity Audiences 数据集概述

数据集基本信息

提供商: Data Axle
试用信息: 提供30天免费试用
数据刷新频率: 每月
地理覆盖范围: 美国所有州（按邮政编码细分）
云区域可用性: 支持AWS等多个云区域

数据集描述

Data Axle的Borrowers, Spenders & Investors Audiences帮助金融机构、信贷提供商和金融科技平台与表现出强烈借款、消费或投资意图的个人互动。通过结合已验证的财务属性和AI建模的行为倾向，这些细分市场能够在信贷、银行和投资生态系统中实现高度个性化、可扩展的触达。

主要特点

AI评分的个人财务意图和准备度（0-1分）
源自100多个离线和数字行为来源
提供信贷、消费、储蓄、投资和管理行为的评分
支持预构建和自定义细分市场以便快速部署
支持HEM、匹配键和身份脊柱集成以进行激活

关键属性

信贷活动：汽车贷款、个人贷款、信用卡使用、再融资信号
投资准备度：传统投资组合、退休账户、数字资产
数字金融采用：在线银行、金融科技使用、新银行注册
消费能力：生活方式购买、BNPL指标、忠诚计划行为
家庭收入、风险承受能力和财务目标导向
来自税务评估、房地产和财务记录的已验证PII

细分市场类别

活跃信贷和贷款寻求者：针对信用卡、个人贷款、汽车融资或抵押产品的市场
高消费消费者档案：零售、生活方式和旅行重度消费者，对信贷和BNPL选项持开放态度
财务优化者和精明规划者：对利率敏感、最大化奖励的个体，具有跨产品购物行为
投资准备就绪的个人：股票、共同基金和退休投资意向者；包括数字资产兴趣
财务高端和信用良好的细分市场：高信用评分、多产品财务关系和低风险档案
银行和金融科技参与的消费者：移动银行、数字钱包、新银行和替代金融应用的用户

使用案例

获取新的信贷、银行或保险客户
提升投资平台和机器人顾问的采用率
重新激活休眠的财务用户或在产品之间交叉销售
优化高级卡优惠和数字贷款服务的定向
为BNPL、PFM和储蓄工具定向行为对齐的受众
为财务辅导、保险教育或退休计划细分用户

数据字典

表名: MKT_BORROWER_DATA
列数: 158列（示例显示50列）
数据类型: 包括Varchar、Number、Float、Boolean
示例列: ADDRESS_LINE_2, ADDRESS_LINE1, AGE_CODE, AGE_CODE_DESCRIPTION, CARRIER_ROUTE_CODE, CBSA_CODE, CBSA_DESCRIPTIONS, CITY, COUNTY_CODE, COUNTY_NAME, FAMILY_HOUSEHOLD_ID, FIRST_NAME, FULL_NAME, HOME_OWNER, HOME_VALUE_CODE, HOME_VALUE_CODE_DESCRIPTION, INCOME, INCOME_DESCRIPTION, INDIVIDUAL_ID, KEY_CODE_1, LAST_NAME, LAST_NAME_SUFFIX, ZIP, ZIP4, LIKELY_INTERESTED_IN_AN_NFL_COBRANDED_CREDIT_CARD, LIKELY_MAKES_DIGITAL_PAYMENTS_WITH_XOOM等