Patent number 8775290 is assigned to
The following quote was obtained by the news editors from the background information supplied by the inventors: "This disclosure generally relates to financial data processing, and in particular it relates to credit scoring, customer profiling, customer product offer targeting, and commercial credit behavior analysis and modeling.
"For the purposes of this disclosure, middle market commercial entities, service establishments, franchises, small business corporations and partnerships as well as business sole proprietorships will be referred to as businesses or companies. These terms also includes principals of a business entity. It is axiomatic that consumers and/or businesses will tend to spend more when they have greater purchasing power. The capability to accurately estimate a business's or a consumer's spend capacity could therefore allow a financial institution (such as a credit company, lender or any consumer or business services companies) to better target potential prospects and identify any opportunities to increase business to business ('B2B') or business to consumer ('B2C') transaction volumes, without an undue increase in the risk of defaults. Attracting additional consumer and/or commercial spending in this manner, in turn, would increase such financial institution's revenues, primarily in the form of an increase in transaction fees and interest payments received. Consequently, a model that can accurately estimate purchasing power is of paramount interest to many financial institutions and other financial services companies.
"A limited ability to estimate spend behavior for goods and services that a business or consumer purchases has previously been available. A financial institution can, for example, simply monitor the balances of its own customers' accounts. When a credit balance is lowered, the financial institution could then assume that the corresponding customer now has greater purchasing power. However, it is often difficult to confirm whether the lowered balance is the result of a balance transfer to another account. Such balance transfers represent no increase in the customer's capacity to spend, and so this simple model of customer behavior has its flaws.
"In order to achieve a complete picture of any customer's purchasing ability, one must examine in detail the full range of a customer's financial accounts, including credit accounts, checking and savings accounts, investment portfolios, and the like. However, the vast majority of customers do not maintain all such accounts with the same financial institution and the access to detailed financial information from other financial institutions is restricted by privacy laws, disclosure policies and security concerns.
"There is limited and incomplete consumer information from credit bureaus and the like at the aggregate and individual consumer levels. Since balance transfers are nearly impossible to consistently identify from the face of such records, this information has not previously been enough to obtain accurate estimates of a consumer's actual spending ability.
"Similarly, it would be useful for a financial institution to identify spend availability for corporate consumers, such as businesses and/or a principal of a business entity. Such an identification would allow the financial institution to accurately target the corporate businesses and/or principals most likely to have spend availability, and those most likely to increase their plastic spend on transactional accounts related to the financial institution. However, there is also limited data on corporate spend information, and identifying and predicting the size and share of a corporate wallet is difficult.
"Accordingly, there is a need for a method and apparatus for modeling individual and corporate consumer spending behavior which addresses certain problems of existing technologies."
In addition to the background information obtained for this patent, VerticalNews journalists also obtained the inventors' summary information for this patent: "A method for modeling customer behavior can be applied to both potential and actual customers (who may be individual consumers or businesses) to determine their spend over previous periods of time (sometimes referred to herein as the customer's size of wallet) from tradeline data sources. The share of wallet by tradeline or account type may also be determined. At the highest level, the size of wallet is represented by a consumer's or business' total aggregate spending and the share of wallet represents how the customer uses different payment instruments.
"In various embodiments, a method and apparatus for modeling consumer or business behavior includes receiving individual and aggregated customer data for a plurality of different customers. The customer data may include, for example, time series tradeline data, business financial statement data, business or consumer panel data, and internal customer data. One or more models of consumer or business spending patterns are then derived based on the data for one or more categories of consumer or business. Categories may be based on spending levels, spending behavior, tradeline user and type of tradeline.
"In various embodiments, a method and apparatus for estimating the spending levels of an individual consumer is next provided, which relies on the models of consumer behavior above. Size of wallet calculations for individual prospects and customers are derived from credit bureau data sources to produce outputs using the models.
"Balance transfers into credit accounts are identified based on tradeline data according to various algorithms, and any identified balance transfer amount is excluded from the spending calculation. The identification of balance transfers enables more accurate utilization of balance data to reflect spending.
"When spending levels are reliably identified in this manner, customers may be categorized to more effectively manage the customer relationship and increase the profitability therefrom. For example, share of wallet scores can be used as a parameter for determining whether or not to guarantee a check. The share of wallet can be used to differentiate between a low-risk customer who is writing more checks because his income has probably increased, and a high-risk customer who is writing more checks without a corresponding increase in income or spend.
"Similarly, company financial statement data can be utilized to identify and calculate the total business spend of a company that could be transacted using a commercial credit card. A spend-like regression model can then be developed to estimate annual commercial size of spending wallet values for customers and prospects of a credit network. This approach relies on the High Balance Reunderwriting Unit ('HBRU') database of commercially-underwritten businesses and the publicly available tax statistics section of the
"A mutual fund rating company can use this information to predict the performance of funds that invest in a particular industry or sector. In addition, since mutual funds often provide guidelines for selecting stocks, rating companies can use this information to predict the performance of companies in a fund's portfolio."
URL and more information on this patent, see: Haggerty, Kathleen;
Keywords for this news article include: Investment and Finance,
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