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    High-Intent, Purchase Ready, Lifestyle Shoppers - AI Propensities

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    Sold by: Data Axle 
    Deployed on AWS
    Target Verified, Purchase-Driven Consumers with Enriched Signals Across Retail, Auto, Travel, and Lifestyle Categories

    Overview

    Data Axle's lifestyle shopper audiences combine verified purchase signals, behavioral data, and predictive scoring to help marketers identify consumers actively shopping across retail, automotive, travel, and experience categories. Enriched with AI-modeled intent, these segments enable timely, omnichannel engagement with consumers most likely to convert---whether switching brands, making high-value purchases, or exploring new services. 

    Data Axle, formerly Infogroup, has been a trusted provider of data-driven solutions since 1972. With coverage of over 95% of U.S. adults and households, we integrate deterministic offline data---such as property records, auto ownership, utility connects, purchase behaviors, and lifestyle subscriptions---with predictive modeling and digital engagement signals. Our segments are activation-ready and refreshed regularly for consistent precision across all channels. 

    What Sets Us Apart: 

    • Combines verified offline behavior with AI-enriched purchase intent scoring 
    • Extensive transactional and lifestyle signal coverage across verticals 
    • Activation-ready segments with deterministic ID match, HEMs, or identity spine 
    • Omnichannel compatibility: CTV, digital, direct mail, social, and mobile 
    • Custom segments supported with flexible delivery 

    Key Attributes

    • Verified purchase signals across retail, travel, and auto 
    • Modeled recency/frequency/urgency of shopping behavior 
    • Lifestyle indicators: homeownership, travel frequency, vehicle status 
    • Media and platform usage across devices and environments 
    • High conversion traits such as promotional responsiveness, category switching, and loyalty patterns 
    • Cross-category intent modeling combining deterministic and behavioral inputs 

    Segment Categories

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

    • Retail Buyers with Strong Purchase Propensity -- Promo-sensitive, category switchers, and brand-loyal consumers across apparel, tech, home goods Use case: Power personalized promotions, seasonal reactivation, and loyalty offers. 

    • Automotive In-Market Intenders -- High-scoring prospects for new, hybrid, luxury, or leased vehicles; includes brand converters Use case: Target dealership visits, conquest campaigns, or lease-to-loan transitions. 

    • Travel Enthusiasts & Frequent Bookers -- Vacationers, cruise travelers, short-term rental users, and frequent flyers with platform preferences Use case: Drive destination-specific bookings, upgrades, and loyalty activations. 

    • Experience Seekers & Lifestyle Spenders -- Buyers in categories such as fitness, wellness, live events, and luxury dining Use case: Promote curated experiences, wellness subscriptions, or premium memberships. 

    • Omnichannel Engagement Segments -- Shoppers interacting across mobile, email, social, and CTV with high frequency and intent Use case: Enhance reach and consistency in full-funnel media planning. 

    • High Conversion Behavioral Traits -- Modeled urgency, product discovery, and high-frequency buyer signals Use case: Trigger immediate outreach with time-sensitive offers or dynamic messaging. 

    Key Features 

    • AI-scored purchase readiness layered over verified household data 
    • Signals derived from digital and offline sources for accuracy and reach 
    • 95%+ U.S. household coverage with deterministic PII and HEM compatibility 
    • Ready-to-use and customizable segments 
    • Quarterly refresh with continuous enrichment 

    Use Cases

    • Boost campaign efficiency by prioritizing ready-to-convert audiences 
    • Reactivate known customers or acquire high-propensity lookalikes 
    • Launch CTV, email, and digital campaigns aligned to seasonal or event-driven demand 
    • Promote brand switching incentives, travel packages, or experience bundles 
    • Improve ecommerce and omnichannel ROAS using intent-qualified segments 
    • Orchestrate cross-sell and upsell campaigns across product categories 

    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 

    Business Needs

    • 360-Degree Customer View Unify verified consumer data and modeled intent into actionable lifestyle profiles---combining what customers have done with what they're likely to do next. 

    • Customer Acquisition Reach highly qualified, category-intent buyers in-market for vehicles, apparel, travel, and experiences---with the right messaging at the right time. 

    • Demand Forecasting Anticipate seasonal and behavioral demand shifts across discretionary categories using a blend of historical behavior and AI signals. 

    • Identity Resolution Resolve fragmented consumer journeys across devices and platforms using deterministic identifiers and Data Axle's identity spine. 

    • Market Segmentation Develop custom or turnkey segments like "High-Spend Shoppers," "Experience-Driven Millennials," or "EV Purchase Intenders" to drive campaign relevance. 

    • Audience Segmentation Use AI-enhanced personas with high conversion likelihood and channel affinity---ideal for omnichannel execution and personalized experiences. 

    • Audience Activation Deploy across all major media and CRM platforms using hashed emails, matched identities, or direct platform delivery via Delta Sharing or clean rooms.

    Details

    Delivery method

    Deployed on AWS
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    High-Intent, Purchase Ready, Lifestyle Shoppers - AI Propensities

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    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_LIFESTYLE_TRANSITIONS
    Last 1 revisions
    All future revisions
    Not included
    Not included

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