Sold by: Experian Marketing Services
Deployed on AWS
The CAPE Ratio and Percentage file provide the Current Year Estimates is categorized by Population, Households & Housing Units, Income & Poverty and Education & Employment.
400+ Marketing Attributes
Overview
The CAPE Ratio and Percentage file provide the Current Year Estimates is categorized by Population, Households & Housing Units, Income & Poverty and Education & Employment.
Category 1 > Category 2 > Group > Number of Attributes CAPE Factors Demographics/Housing Education 2 Ethnicity/Language 4 Housing 4 Income 2 Occupation 2 Poverty Level 2
CAPE Ratio and Percentages Demographics/Housing Age/Gender 60 Children in Household 25 Commute 11 Education 10 Ethnicity/Language 51 Household Composition 43 Housing 97 Income 63 Life Events 7 Occupation 37 Poverty Level 22 Property Characteristics 11
Requirement for verification: To verify your identity before sending out any data, please provide the following in the use case section:
- Company address
- Company email address
- Company phone number
You can find out more about how we protect and process your data by visiting our privacy policy here . We will not share your details with third parties.
In a fast moving and complex marketing world, people, technologies and channels evolve almost daily. Experian Marketing Services brings the insight you need to engage intelligently — with personalized messaging that reaches the right people at the right times through the right channels.
Experian Marketing Services is a global provider of insight-led cross-channel marketing and advertising services. We help thousands of marketers to unlock the power of data about people and places to reach and engage with the audiences that matter most. Our focus is to enable organizations to deliver great experiences that are personalized and relevant – which maximize returns, deepen customer loyalty and strengthen brand advocacy.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
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.
Dimension | Description | Cost/12 months |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $30,000.00 |
Dimensions summary
This listing uses a contract pricing model with one dimension: Product Access (Units). You buy units that grant access to the product for subscribers. Pricing is not tiered by feature or instance size. Instead, you commit to a set quantity of access units under a contract term. The unit count scales with how many subscribers need access. Because there is a single dimension, cost changes with the number of units you purchase, not with usage-based add-ons or separate service levels.
Top-of-mind questions for buyers
A unit grants product access for one subscriber. The unit count reflects how many subscribers need access to the census ratios and percentages data. You buy the number of units matching your subscriber base under a contract term.
You get access to U.S. CAPE census ratios and percentages, which are demographic and geographic attributes derived from census data. This supports research, segmentation, and market planning across U.S. households and individuals.
No. This is a contract with a single dimension, Product Access (Units). Your cost tracks the number of access units you commit to, not query volume or usage. There are no usage-based add-ons or separate service levels tied to consumption.
www.experian.com
Helpful?
Vendor refund policy
There are no refunds for data purchases
For more information about Experian Consumer Data please visit https://www.experian.com/marketing-services/
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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 |
|---|---|---|---|---|---|---|
Experian US CAPE Census Ratios and Percentages 2019 Full | All historical revisions | All future revisions | Not included | Not included | ||
Experian US CAPE Census Ratios and Percentages Full Data Dictionary | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
Similar products
The CAPE Ratio and Percentage file provide the Current Year Estimates is categorized by Population, Households & Housing Units, Income & Poverty and Education & Employment.
400+ Marketing Attributes
Experian Aperture Data Studio empowers you to rapidly build the most consistent and accurate view of your customer data. Data Studio is designed to help tackle your data quality challenges and gain a single customer view using market-leading data profiling, discovery, validation, cleansing, machine-learning-enabled de-duplication and enrichment tools
Experian’s Categorisation as a Service (CaaS) automates the categorisation of bank and credit card transaction data. The solution is driven by a suite of machine-learning algorithms, which categorise customers' bank or credit card transactions into one of over 180 different income and expenditure categories. Further models turn these categorised transactions into a set of summarised insights that can help a business understand your customers finances and make better informed decisions.
Automatically categorising transactional data saves an organisation time and gives you invaluable insights into the financial wellbeing of customers. It helps you understand a customer’s income, expenditure and credit behaviour, providing a detailed picture of their financial circumstances and resilience. Available for use in batch on the AWS cloud or in real-time as part of an Open Banking data exchange, it provides secure access to verified income and expenditure data.
ConsumerView UK Postcodes With Presence of Children. Analytical File For The Purpose Of Analytical Activities.