| By Jim Bruene on May 5, 1997 11:13 AM | Comments (0) |
Financial institutions already have access to vast amounts of data on their customer’s financial situation. Add to that what could be learned from tracking customer preferences on a Web site and the possibilities are mind-boggling. Avoid analysis paralysis and focus on using just a few data elements to target high-revenue products.
For example, match users of your auto financing calculator against checking account deposit size (as a proxy for household income) and pitch appropriate auto-financing specials through e-mail.
In-House Data
SIGNATURE CARD DATA
- Complete name and social security number
- Age
- Marital status
- Employer
- Address and phone numbers
- Other demographics
- Beneficiaries
CREDIT APPLICATION DATA
- Employer(s)
- Salary(ies)
- Vehicles owned and ages
- Assets
- Insurance
- Other creditors
- Other financial obligations
- Credit bureau information
CREDIT CARD DATA
- Credit card payees and transaction history
- Payment history (minimum vs. revolving)
- History of transaction disputes
OTHER ACCOUNT DATA
- IRAs
- Savings
- Joint accounts
- Investments
- Mortgages
- Installment loans and home equity
- Other revolving credit
- Insurance
Data Gathered from the Web
PREFERENCES/USAGE
- The importance of fees
- The importance of rates
- How often user checks balance/transactions
- Use of credit
- Use of computer for managing finances
- Financial services purchased from other providers
ATTITUDE/INTERESTS
- Concerns about fraud and financial privacy
- Loyalty to the bank
- Impression of bank
- Risk tolerance for investments
- Interest in general and/or financial news
- Interest in tracking financial markets and/or individual securities
- Interest in mutual funds
- Frequency of balancing checkbook (if at all)
- Interest/use of household budgeting
- Small business ownership/interest
SATISFACTION
- Rating of services/bank
- Suggestions for improvement
- Likelihood of remaining a customer
GOALS/NEEDS
- Savings/retirement goals
- Tax-planning needs
- Home purchase intent (first-time or trade-up)
WEB HABITS/USAGE
- Areas of the Web most frequented
- Length of time spent in each area
- Repeat visits to individual areas
- Type of questions posed to customer service
- Financial calculator usage
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