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    Mogean - US Physical Fitness Gym venues 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 Physical Fitness Gym venues 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 under a contract that grants your subscription to the product. Pricing is based on the number of units you purchase, so your cost scales with the quantity you commit to. There are no separate tiers, instance sizes, or add-on options. You pay for one type of access, and the unit count sets your total. The product delivers consumer insights and analytics built from mobile location and places-of-interest data covering US physical fitness gym venue audiences.

    Top-of-mind questions for buyers

    A unit grants your subscription access to the consumer insights dataset. The dataset covers US physical fitness gym venue audiences from September 2020. It draws on mobile GPS location data and places-of-interest attributes. The unit count you buy sets your total contract cost.
    You get consumer-based insights and analytics on gym venue audiences. The data reveals where consumers are, who they are, and what they do. It uses machine learning applied to passively collected mobile location data. This helps you understand and engage existing and new consumers.
    Cost scales with the number of units you commit to under the contract. There are no separate tiers or add-on options that change the rate. To increase access, you raise the unit quantity, and your total rises with it.
    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
    gym-sept-2020
    All historical revisions
    All future revisions
    Not included
    Not included

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