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    Mogean - US Ultra Affluent audience from November 2020

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    Sold by: Mogean 
    Deployed on AWS
    This dataset is a sample that contains summarized visits. Data includes the city, state and zip that is associated with the observed devices home areas during November 2020.

    Overview

    The audience represents devices that were observed to reside in ultra affluent areas during November 2020. Included in the data are the following variables:

    • Hashed Mobile Advertising Identifier
    • Home City
    • Home State
    • Home Zip

     


     

    About Mogean:

    Transform your decision-making ability, or add value to your client deliverables with our robust and targeted data.

    Mogean delivers the highest quality, most complete, and most actionable location data available. Mogean's cutting edge technology transforms location data into tailored business intelligence. The uniquely differentiated insights exceed expectations while passing along cost savings for major brands, large advertising agencies, and leading marketing effectiveness agencies.

    100% SDK sourced data, from over 300 mobile apps, delivering 100 million unique monthly devices.

    We are a privacy-first company with audited and certified processes that guarantee consumer privacy preferences are honored and exceed the latest data privacy regulations.

    Look at our available data. If you're looking for a different dataset, or need a bespoke analysis combining your internal data with our aggregated location intelligence trends, please email us: info@mogean.com 

    Details

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    Delivery method

    Deployed on AWS
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    Pricing

    Mogean - US Ultra Affluent audience from November 2020

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

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    Dimension
    Description
    Cost/month
    Product Access
    Dimension that grants access to the product for subscribers.
    $1,000.00

    AI Insights

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    Dimensions summary

    This listing uses a single contract-based pricing dimension called Product Access (Units). You buy access to the data product through this one dimension. It grants subscribers use of the US Ultra Affluent audience dataset from November 2020. There are no tiers, instance sizes, or usage add-ons to compare. Pricing is set by the unit count tied to your access grant under the contract. You commit to the terms of that contract to receive the audience data.

    Top-of-mind questions for buyers

    A unit maps to your access grant for the US Ultra Affluent audience dataset from November 2020. The unit count set in your contract determines the scope of access you receive. It grants subscriber use of that specific data snapshot, not a per-record or per-query charge.
    You get consumer-based insights derived from passively collected mobile GPS location data combined with places-of-interest data and attributes. Machine learning produces audience insights about consumer behaviors and locations. This access covers the US Ultra Affluent audience captured in November 2020.
    No. This grant covers the US Ultra Affluent audience as captured in November 2020. It is a fixed data snapshot tied to that period. Access does not include later refreshes or other time periods. Contact the vendor for other datasets or updated captures.
    mogean.com
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    Usage information

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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
    ultraaffluent-nov-2020
    All historical revisions
    All future revisions
    Not included
    Not included

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