Health & Wellness Attributes 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.
Geographic coverage: United States of America
Data Population Level: Individual or Household
Number of individuals/households covered: 242.5+ million individuals & 117+ million households
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.
Examples of 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
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.