Sold by: AnalyticsIQ
Deployed on AWS
Health & Wellness Attributes – Offline contains individual or household level data variables that provide and predict a variety of unique characteristics related to health ranging from BMI and health-related interests to exercise level and social determinants of health and more.
Overview
Health & Wellness Attributes – Offline (Individual or Household Level) Data Product Overview
Health & Wellness Attributes – Offline contains individual or household level data variables that provide and predict a variety of unique characteristics related to health ranging from BMI and health-related interests to exercise level and social determinants of health and more.
Use Cases
Health & Wellness Attributes – Offline 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 customer retention, customer acquisition, cross-sell or up-sell, and engagement rates.
Health & Wellness Attributes – Offline can be used to enrich CRM data by appending attributes to existing individuals in order to learn more about your customers.
Health & Wellness Attributes – Offline can be used for your own modeling processes.
Health & Wellness Attributes – Offline can be used to analyze health trends and social determinants of health across different geographies and time periods.
Metadata
| Description | Value |
|---|---|
| Geographic coverage | United States of America |
| Data Population Level | Individual or Household |
| Number of individuals/households covered | 242.5+ million individuals & 117+ million households |
| Raw or scraped data | Raw Data |
| Key Fields | BMI, 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 Frequency | AnalyticsIQ data is updated on a quarterly basis |
| Key Words | Health & Wellness, Healthcare, Patient Data, Social Determinants of Health |
| households |
Key Data Points
Key data points include:
- Covid19_Vaccine: Likely to take COVID-19 vaccine once available
- LT_Exercise: Most likely frequency of exercise
- HW_BMI: Predicted BMI
- HW_Junk_Diet: Tendency to have an unhealthy diet
- HW_Primary_Care_Visits: Likely to have visited primary care doctor in last 12-months
- HW_Sleep_v3: Likely sleep quality
- 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/ .
Details
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Delivery method
Deployed on AWS
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Dimensions summary
This listing offers a single pricing dimension billed under a Free model. You access health and wellness data attributes at the individual or household level with no charge tied to the JuntoDimension unit. There are no tiers, instance sizes, or usage add-ons to choose between. The data covers health-related attributes such as diet, exercise habits, sleep quality, wellness interests, and social determinants of health. Because only one dimension exists, pricing does not scale by volume or term within this listing. You receive the offline data delivery at the listed rate.
Top-of-mind questions for buyers
The unit reflects the delivery of health and wellness attributes at the individual or household level. These attributes cover diet, exercise habits, sleep quality, wellness interests, healthcare engagement, and social determinants of health like income, housing, and access to technology. It is offered under a Free model.
No. This listing carries a single dimension billed under a Free model. There are no volume tiers, usage add-ons, or overage points that would raise your charge. Your cost does not scale with the number of individuals or households covered in the data delivery.
The data is delivered offline at the individual or household level, rather than through a real-time query interface. Delivery method does not change your charge under this listing, since only one dimension exists and it is billed under a Free model with no usage-based components.
analytics-iq.com
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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
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
AnalyticsIQ Offline Sample Data sets | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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