Financial Services Data for Marketing

Our Financial Services audiences are drawn from insight on 51 million adults and 26 million households in the UK and provide a deep understanding of consumers financial behaviours.

Containing a range of actual and modelled attributes, segmentations and propensities our Financial Services data can help to enrich your customer information for insight and to more effectively manage customer relationships and provide a deep understanding of consumers financial behaviours including their:

Savings
Investments
Card ownership
Unsecured and secured borrowing
Risk attitudes
Financial aspirations

Our Financial Services data includes:

Personal Attributes

• Affluence
• Personal income
• Household income
• Mortgage value
• Employment type
• Directorship type
• Shareholding
• Business from home
• Home owner
• Renter
• Property type
• No. Bedrooms
• Property value
• Take Financial Advice
• Investable Assets Value

Product Attributes

• Bank account
• Bank Savings account
• Investment products
• Credit cards
• NS&I
• Cash ISA
• Investment ISA
• Home Insurance
• Type of mortgage
• Type of savings product held
• Type of Insurance held
• Type of Investments held
• Type of Pension held
• Pension value
• Type of Retirement provision held
• Application channel used for financial products

How the data flow process works:

Snowflake user will make available their customer and / or prospect lists with Experian by extracting the file from their account and sharing via Experian’s secure file transfer application.

Subject to a signed contractual agreement, Experian will match the customer file(s) against our Financial Services data and where a match is found, will append the required datasets to the customer file(s).

Experian will return the customer file via Snowflake's secure data share.

Experian's Linkage capabilities provide increased match rates between customer files and our Financial Services data. Matching using combinations of full name, UK postal address, postcode, email address and mobile telephone number are all viable matching data points.