Affluent & HNW Consumers – AI Audiences for Luxury & Finance

Data Axle’s AI-modelled affluent consumer segments help marketers identify and engage high-net-worth individuals and financially upscale households. These audiences are scored using a combination of income indicators, asset ownership, purchase behaviour, and investment intent to support luxury brand marketing, financial services, and lifestyle campaigns. Available for omnichannel activation and custom segment builds.

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 that 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 behavioural, attitudinal, and transactional signals to generate nuanced audience definitions.

- Trained on expansive offline PII data, utilising all signals (not just age/income)   

- Scores every individual (0–1) by propensity to act  

- Optimised for personalised targeting, next-best action, and cross-sell models  

- Built for scalable segmentation, enrichment, and omnichannel activation  

**Segment Categories**

Each category includes multiple AI-scored segments – below are illustrative examples and business applications. New categories are released regularly.

- Luxury Product & Brand Buyers – High spenders on luxury goods, fashion, accessories, and branded retail 

- High-Income & Financially Well-Off Households – Top-income bracket households exhibiting multi-income or asset ownership profiles 

- Premium Auto & Vehicle Ownership – Buyers or owners of luxury cars and multiple high-value vehicles 

- Travel & Leisure Spenders – Affluent travellers, cruise customers, and frequent bookers of upscale experiences 

- Affluent Investors & Financial Clients – Individuals likely to invest in equities, mutual funds, or premium financial advisory services 

- Homeowners with High-Value Assets – Owners of large or high-market-value homes with remodelling or insurance potential 

**Key Features**

- AI-scored affluence and asset ownership at the individual/household level 

- Derived from 100+ offline PII-based financial and behavioural signals 

- Supports premium, luxury, and financial targeting use cases 

- Custom segmentation by lifestyle, geography, or wealth tier 

- Ready for omnichannel delivery, including CTV, email, social, and direct mail 

**Use Cases**

- Launch premium brand campaigns for luxury goods, travel, or services 

- Identify HNW audiences for wealth management and financial advisory targeting 

- Promote luxury automotive offers and lease programs 

- Target affluent homeowners for home services, remodelling, or insurance products 

- Deliver CTV and programmatic ads tailored to upscale consumer preferences 

- Design tiered campaigns based on income, asset ownership, or spend level 

## **Next Steps**

- Request listing access  

- The Data-Axle team will contact you to finalise the audience, data cut, and delivery method/frequency.  

- Need a Custom Audience? We deliver tailored segments within 5–10 business days

原始信息汇总

Affluent & HNW Consumers – AI Audiences for Luxury & Finance

概述

AI建模的富裕消费者细分市场，帮助营销人员识别和接触高净值个人和财务上富裕的家庭。这些受众使用收入指标、资产所有权、购买行为和投资意图的组合进行评分，以支持奢侈品牌营销、金融服务和生活方式活动。可用于全渠道激活和自定义细分构建。

主要特点

• AI评分的富裕程度和资产所有权，涵盖个人/家庭级别
• 源自100多个离线PII财务和行为信号
• 支持高端、奢侈和金融定向用例
• 按生活方式、地理位置或财富等级进行自定义细分
• 准备用于全渠道交付，包括CTV、电子邮件、社交媒体和直邮

细分市场类别

• 奢侈品与品牌买家 – 奢侈品、时尚、配饰和品牌零售的高消费者
• 高收入和财务状况良好的家庭 – 表现出多收入或资产所有权特征的高收入阶层家庭
• 高端汽车和车辆所有权 – 豪华车和多辆高价值车辆的买家或所有者
• 旅行和休闲消费者 – 富裕的旅行者、邮轮客户和经常预订高端体验的人
• 富裕投资者和金融客户 – 可能投资股票、共同基金或高端金融咨询服务的个人
• 拥有高价值资产的房主 – 拥有大型或高市场价值房屋，具有改造或保险潜力

用例

• 为奢侈品、旅行或服务推出高端品牌活动
• 识别高净值受众用于财富管理和金融咨询定向
• 推广豪华汽车优惠和租赁计划
• 针对富裕房主提供家庭服务、改造或保险产品
• 提供符合高端消费者偏好的CTV和程序化广告
• 根据收入、资产所有权或消费水平设计分层活动

数据字典

表名：MKT_AFFLUENT_DATA

列包括：

• ADDRESS_LINE_2 (Varchar)
• ADDRESS_LINE1 (Varchar)
• AGE_CODE (Varchar)
• AGE_CODE_DESCRIPTION (Varchar)
• CARRIER_ROUTE_CODE (Varchar)
• CBSA_CODE (Number)
• CBSA_DESCRIPTIONS (Varchar)
• CITY (Varchar)
• COUNTY_CODE (Number)
• COUNTY_NAME (Varchar)
• FAMILY_HOUSEHOLD_ID (Float)
• FIRST_NAME (Varchar)
• FULL_NAME (Varchar)
• HOME_OWNER (Boolean)
• HOME_VALUE_CODE (Varchar)
• HOME_VALUE_CODE_DESCRIPTION (Varchar)
• INCOME (Varchar)
• INCOME_DESCRIPTION (Varchar)
• INDIVIDUAL_ID (Float)
• KEY_CODE_1 (Varchar)
• LAST_NAME (Varchar)
• LAST_NAME_SUFFIX (Varchar)
• ZIP (Number)
• ZIP4 (Number)
• LIKELY_TO_PURCHASE_AN_EXOTIC_LUXURY_VEHICLE_BRAND_LOYAL (Number)
• LIKELY_TO_PURCHASE_A_LUXURY_SUV_VEHICLE_BRAND_LOYAL (Number)
• LIKELY_TO_PURCHASE_A_LUXURY_PICKUP_VEHICLE_RISK_OF_SWITCHING (Number)
• FEMALES_THAT_LOVE_LUXURY_VACATIONS_AND_PARTIES (Number)
• LIKELY_TO_BUY_LUXURY_JEWELRY (Number)
• ATTITUDE_LUXURY_ACCOMMODATION_SEEKERS (Number)
• LIKELY_IN_MARKET_FOR_LUXURY_TRAVEL (Number)
• INCOME_FINANCIALLY_WELLOFF (Number)
• INCOME_IN_THE_1PERCENT_FINANCIALLY (Number)
• CRYPTO_DONORS (Number)
• LIKELY_A_CRYPTO_INVESTOR (Number)
• HIGH_INTEREST_IN_FINANCIAL_INVESTMENTS (Number)
• HIGH_INTEREST_IN_MAKING_MONEY (Number)
• MEGA_DONOR_INVESTING_ENTHUSIAST (Number)
• SELF_DIRECTED_FINANCE_INVESTOR (Number)
• LIKELY_TO_INVEST_IN_STOCKS_BONDS_OR_MUTUAL_FUNDS (Number)
• INVESTMENT_WISDOM_SEEKERS (Number)
• PAYS_IN_CASH_FOR_HOME_REMODELING (Number)
• HIGH_SPENDING_DIY_REMODELERS (Number)

使用示例

sql select * from MKT_AFFLUENT_DATA

刷新频率

每月

地理覆盖范围

美国（所有州），按邮政编码

云区域可用性

AWS

• Africa (Cape Town)
• Asia Pacific (Jakarta)
• Asia Pacific (Mumbai)
• Asia Pacific (Osaka)

业务需求

• 360度客户视图
• 客户获取
• 需求预测
• 身份解析
• 受众细分
• 受众激活

提供商

Data Axle

试用信息

免费试用，试用期：30天

联系方式

销售：[e-mail] 支持：[e-mail]

搜集汇总

背景与挑战

背景概述

该数据集由Data Axle提供，基于AI建模的富裕和高净值消费者细分数据，用于识别和定位高收入家庭及个人，支持奢侈品和金融服务的精准营销。数据融合了线下和线上来源，覆盖美国95%以上成年人和家庭，通过收入、资产、消费行为等多维信号进行动态评分，适用于全渠道激活和定制化细分应用。