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    Affluent, High-Net-Worth Consumers: AI for Luxury & Financial Targeting

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    Sold by: Data Axle 
    Deployed on AWS
    AI-Powered Segments to Reach Wealthy, Upscale, and Investment-Ready Households

    Overview

    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.

    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

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Affluent, High-Net-Worth Consumers: AI for Luxury & Financial Targeting

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    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    Free Listing.

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    Delivery details

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    Additional details

    Data sets (1)

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    You will receive access to the following data sets.

    Data set name
    Type
    Historical revisions
    Future revisions
    Sensitive information
    Data dictionaries
    Data samples
    MKT_AFFLUENT
    Last 1 revisions
    All future revisions
    Not included
    Not included

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