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    Mogean - US PayDay Loan audience from September 2020

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    Sold by: Mogean 
    Deployed on AWS
    This dataset is a sample that contains summarized visits. Data includes the name, city and state of the venue that was visited. Also, included are the number of visits that were made by each device during the month of September. More detailed and tailored audiences are available upon request.

    Overview

    Tab delimited dataset with one month free sample contains the following fields:

    • Hashed Mobile Advertising ID
    • Point of Interest (POI) Venue Name
    • Number of Days Visited
    • POI Venue City
    • POI Venue State

     


     

    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 PayDay Loan audience from September 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 pricing dimension called Product Access (Units). You buy access to the dataset under a contract. Pricing scales with the number of units you subscribe to. There are no separate tiers, instance sizes, or add-on options to choose from. The dataset provides consumer insights derived from mobile device location data, covering a US PayDay Loan audience from September 2020. Your cost depends on the unit quantity you commit to under the contract term.

    Top-of-mind questions for buyers

    A unit is your access grant to the dataset under the contract. It does not map to a single record or query. Buying units unlocks the US PayDay Loan audience data from September 2020. The number of units you commit to sets your total cost.
    The dataset covers a US PayDay Loan consumer audience captured in September 2020. It draws on passively collected mobile GPS location data combined with Places of Interest attributes. The vendor applies machine learning to produce consumer behavior insights about where consumers go and what they do.
    No. This listing has one dimension, Product Access (Units), with no usage meters or tiers. Your cost is set by the unit quantity you commit to under the contract. Using the data more or less within the term does not change what you pay.
    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
    paydayloan-sept-2020
    All historical revisions
    All future revisions
    Not included
    Not included

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