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    Health & Wellness Audiences – Digital (Individual or Household Level)

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    Sold by: AnalyticsIQ 
    Deployed on AWS
    Health & Wellness Audiences – Digital contains individual or household level audiences with a variety of health-related characteristics and behaviors ranging from BMI and health-related interests to exercise level and social determinants of health and more.

    Overview


    Health & Wellness Audiences – Digital (Individual or Household Level) Data Product Overview

    Health & Wellness Audiences – Digital contains individual or household level audiences with a variety of health-related characteristics and behaviors ranging from BMI and health-related interests to exercise level and social determinants of health and more.


    Use Cases

    Health & Wellness Audiences – Digital can be used for personalized and targeted marketing communications by allowing marketers to optimize messaging, creative, and offer based on specific consumer characteristics, behaviors, and preferences. This facilitates better custom retention, customer acquisition, cross-sell & up-sell, and engagement rates.

    Health & Wellness Audiences – Digital can be used for analytics, insights, and measurement of programmatic and advanced TV campaigns.


    Metadata

    DescriptionValue
    Geographic coverageUnited States of America
    Data Population LevelIndividual or Household
    Number of individuals/households covered242.5+ million individuals & 117+ million households
    Raw or scraped dataRaw Data
    Key FieldsBMI, Exercise Level & Types, Alternative Medicine Interests
    Data Source(s)Our data is created in an offline process but leverage offline and online data and behaviors. The vast majority of our database is proprietary although a few publicly available data sources are leveraged in its development AnalyticsIQ sources data from over 100 sources. These are predominantly public sources including: Core Demographic data from multiple sources; Census Block and Block Group level data; Econometric data from the US government; Summarized credit data from multiple credit bureaus; Property and mortgage information from county courthouses; Occupation information from state licensing boards; Past purchase behavior from catalogers and retailers that contribute their data at a category level. AnalyticsIQ is not an original compiler as the data above is readily available for purchase out in the market. However, AnalyticsIQ uses superior analytics to make our data best-in-class. One tool that is completely unique to AnalyticsIQ’s product development process is our proprietary survey data. This is where our Cognitive Sciences Department carefully crafts questions that we serve to a panel of consumers. Survey responses are not directly published on our file, but rather the answers are then modeled across our entire consumer file to create truly unique data points not available anywhere.
    Update FrequencyAnalyticsIQ data is updated on a quarterly basis
    Key WordsHealth & Wellness, Healthcare, Patient Data, Social Determinants of Health

    Key Data Points

    Key data points include:

    • Covid19_Vaccine_Ind: Likely to take COVID-19 vaccine once available
    • Avid_Exerciser: Likely to exercise 4-5 days a week
    • HW_BMI_NormalWeight: Likely to have BMI under 24.9
    • HW_Lifestyle_Extreme: Likely to be extremely health conscious
    • HW_Reflexology_Ind: Likely to be interested in reflexology
    • Good_Sleep_Quality: Likely to fall asleep easily and wake up refreshed
    • HW_WebMD: Likely to use WebMD

    Additional Information

    Automotive Audiences – Digital Data Dictionary and AnalyticsIQ Full Data Dictionary are available for download. Please contact aws-support@analytics-iq.com  for access.


    Pricing Information

    For pricing information on our 12-month licenses please reach out to Margo Hock at margoh@analytics-iq.com .


    Regulatory and Compliance Information

    All AnalyticsIQ audiences are HIPAA compliant, and many audiences are Regulation B / FLA friendly or have alternative Regulation B / FLA friendly versions. To learn more about AnalyticsIQ’s Regulation B / FLA Friendly data.

    For users who wish to avoid PII, all AnalyticsIQ data can be anonymized through tokenization thanks to our strong partnership with Datavant, a leading providers of data de-identification services.

    For information, please reach out to aws-support@analytics-iq.com .


    Need Help?

    If you have any questions about AnalyticsIQ or our data, please reach out to aws-support@analytics-iq.com .


    About Your Company

    Founded in 2007 and based in Atlanta, AnalyticsIQ is vastly made up of data scientists, analysts, researchers, and cognitive psychologists with over 100 years of collective analytical experience. AnalyticsIQ is the first data company to consistently blend cognitive psychology with data science to understand the heart of individuals and their motivations – both as a consumer and as a professional. By linking an individual’s consumer profile at home to their professional profile at work, AnalyticsIQ strives to help companies know their customers and prospects like they know their friends, and its mission is for data to fuel every brand experience. AnalyticsIQ’s data consistently outperforms other data providers, and the company’s flexible approach means that they will do whatever it takes to work with clients to solve the challenges they may be facing. To learn more about AnalyticsIQ, please visit https://analytics-iq.com/ .

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    Deployed on AWS
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    Pricing

    Health & Wellness Audiences – Digital (Individual or Household Level)

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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

    We do not offer refunds for this product.

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    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
    AnalyticsIQ Audiences – Digital (Individual or Household Level)
    All historical revisions
    All future revisions
    Not included
    Not included

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