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    Location-Based Retail Listings-Precision Data: Location-Based Marketing

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    Sold by: Data Axle 
    Deployed on AWS
    Verified retail business locations with geospatial, firmographic, and demographic signals for high-impact regional target

    Overview

    Access a location-rich dataset of U.S. retail businesses, integrating verified firmographics, store-level contact details, and demographic overlays. Designed for marketers, AdTech platforms, agencies, and technology providers seeking to activate campaigns and analyze opportunities with regional precision.

    Data Axle, formerly Infogroup, has been a trusted provider of data-driven solutions since 1972. With verified coverage of over 95% of U.S. businesses and consumers, Data Axle delivers accurate, privacy-compliant data to power analytics, targeting, and activation. Our B2B and B2C datasets are built from deterministic sources and continuously updated.

    Segment Categories:

    • Retail Business Types – Apparel, Grocery, Electronics, Furniture, Specialty Retail
    • Geolocation Data – Latitude/Longitude, ZIP, Census Tract, Landmark Proximity
    • Revenue Bands – $500K to $50M+
    • Store Size & Footprint – Single store, regional chain, national chain
    • Demographic Context – Shopper age, income tiers, lifestyle preferences
    • Marketing Engagement – Loyalty programs, promotions, ad responsiveness
    • Contact Information – Store manager emails, phone numbers, corporate contacts
    • Operational Attributes – Years active, employee count, franchise vs. independent

    Key Features:

    • 300+ segmented attributes tailored for retail-centric campaigns and analytics
    • Latitude/longitude-level geolocation for precision targeting and mapping
    • Verified decision-maker contact data for localized outreach
    • Shopper demographic insights at store location level
    • CRM, GIS, and marketing platform ready

    Use Cases:

    • Retail Media Networks: Target verified store locations for brand-funded in-store and near-store promotions
    • Adtech & Programmatic Buyers: Activate digital and mobile ad campaigns with geofenced retail targeting
    • OOH & DOOH Agencies: Map stores by proximity to high-traffic zones and align ad placements
    • Financial Institutions & POS Providers: Identify independent and multi-location stores for merchant acquisition
    • CPG and Retail Vendors: Build outreach lists of franchise or independent retail buyers within specified regions
    • GIS Analysts: Overlay retail density with income and lifestyle data for regional investment models

    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 Need:

    Localized Campaign Execution: Improve relevancy and conversion by targeting retailers based on location, size, and demographic footprint Retail Expansion Intelligence: Enable territory planning and competitive analysis using verified geolocated business listings Audience Enrichment: Equip platforms and partners with store-level insights, including ownership type, ad activity, and local affluence Franchise & Independent Store Targeting: Identify scalable outreach opportunities by segmenting retail owners by footprint and format

    Details

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    Deployed on AWS
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    Pricing

    Location-Based Retail Listings-Precision Data: Location-Based Marketing

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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

    AWS Data Exchange (ADX)

    AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.

    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_RETAIL_LISTINGS_BUSINESS
    Last 1 revisions
    All future revisions
    Not included
    Not included

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