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Consumer Finance Attributes – Offline (Individual or Household Level)

Provided By: AnalyticsIQ

Consumer Finance Attributes – Offline (Individual or Household Level)

Provided By: AnalyticsIQ

Consumer Finance Attributes – Offline contains individual or household level data variables that provide and predict a variety of consumer finance attributes ranging from core information such as household income to predicted financial motivations and more.

Product offers

The following offers are available for this product. Choose an offer to view the pricing and access duration options for the offer. Select an offer and continue to subscribe. Your subscription begins on the date that your request is approved by the provider. Additional taxes or fees might apply.

Public offer

Payment schedule: Upfront payment | Offer auto-renewal: Supported
$0 for 12 months

Overview


Consumer Finance Attributes – Offline (Individual or Household Level) Data Product Overview

Consumer Finance Attributes – Offline contains individual or household level data variables that provide and predict a variety of consumer finance attributes ranging from core information such as household income to predicted financial motivations and more.


Use Cases

Consumer Finance 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.

Consumer Finance Attributes – Offline can be used to enrich CRM data by appending attributes to existing individuals in order to learn more about your customers.

Consumer Finance Attributes – Offline can be used for your own modeling processes.


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 FieldsHousehold Income, Net Worth, Discretionary Spending, Liquid Investable Assets
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 WordsFinancial Services, FinTech, Insurance, Banking, Credit Cards, Consumer Finances, Personal Finances, Wealth, Income, Investing

Key Data Points

Examples of key data points include:

  • IncomeIQ_Plus_v3: Annual household income predictor in $’000s
  • InvestorIQ_Plus_v4: Predicted amount invested in a variety of liquid investable assets in $’000s
  • WealthIQ_Plus_v4: Total estimated net worth in $’000s
  • AIQ_ATP_v2: Likely ability to pay debts
  • Presence_of_CC: Individuals likely to be accredited investors
  • OS_Value_Seeker: Tendency to seek out good deals

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/ .

Provided By
Fulfillment Method
AWS Data Exchange

Data sets (1)

You will receive access to the following data sets

Revision access rules
All historical revisions | All future revisions
Contains sensitive information
Name
Type
Data dictionary
AWS Region
AnalyticsIQ Offline Sample Data sets
Not included
US East (N. Virginia)

Usage information

By subscribing to this product, you agree that your use of this product is subject to the provider's offer terms including pricing information and Data Subscription Agreement . Your use of AWS services remains subject to the AWS Customer Agreement  or other agreement with AWS governing your use of such services.

Support information

Support contact email address
Support contact URL
Refund policy
We do not offer refunds for this product.
General AWS Data Exchange support