Pre-Grant Publication Number: 20100306032
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Prior Art Detail
Summary / Description
| Summary / Description | This Mastercard published application teaches clustering data from credit card purchases to determine likelihood for purchasing behaviour. |
Basic Information
| Type of Prior Art | Issued Patents - US |
| Country | United States of America |
| Patent/Application # | 20090192875 |
| Kind Code | United States (US) - Patent Appl. Publ. within the ... - A1 |
| Patentee Name | MASTERCARD INTERNATIONAL INCORPORATED |
| Relevant Pages, Columns, or Lines | Paras. [0031]; [0040]; [0049]; |
| URL | http://www.google.com/patents?i... |
| Filing Date | November 26, 2008 |
| Additional Information | |
Notes / To Do
| Notes | |
Excerpt
Excerpt [0031]FIG. 4 is a flow chart 170 illustrating a life stage modeling process. Specifically, a computer-based method for linking transaction card accounts with at least one of a plurality of life stage segments, or defined life stages, is illustrated by the flowchart 170 of FIG. 4. The method includes analyzing 172 results from surveys received from a plurality of transaction card holders. As further described, these survey results are utilized in the definition of life stage segments. The life stage segments are generally based on, for example, at least one of demographics, transactions within various categories that can be differentiated from one another, and transaction card usage. An example of a category is a merchant category, for example, a pharmacy and a sporting goods retailer. Spending profiles are created 174 based on the survey results which are then utilized in the differentiation between customers, to identify into which of the defined life stage segments they best fit.
[0055]In issuer scoring 230, the transaction data-based life stage model 220 is applied to an issuer file. The selected accounts represent the highest scoring life stage model look-alikes. The steps are as follows: the life stage algorithm created for the life stage model 220 is applied to an issuer file of accounts which includes summarized information for the prior months of spending activity and all associated variables including purchase clusters and velocity variables. Accounts are scored and ranked, and a cut-off score is applied to select the top scoring life stage look-a-likes. |
Relevance
Claims
1
Relevance
This broad claim will likely be amended to recite clustering of purchase data from credit card transactions, which is taught by the Mastercard Publicaton No. 2009/0192875 A1.
This broad claim will likely be amended to recite clustering of purchase data from credit card transactions, which is taught by the Mastercard Publicaton No. 2009/0192875 A1.
Claim Chart
All
19
Relevance
This broad claim will likely be amended to recite clustering of purchase data from credit card transactions, which is taught by the Mastercard Publicaton No. 2009/0192875 A1.
This broad claim will likely be amended to recite clustering of purchase data from credit card transactions, which is taught by the Mastercard Publicaton No. 2009/0192875 A1.
Claim Chart
All
20
Relevance
This broad claim will likely be amended to recite clustering of purchase data from credit card transactions, which is taught by the Mastercard Publicaton No. 2009/0192875 A1.
This broad claim will likely be amended to recite clustering of purchase data from credit card transactions, which is taught by the Mastercard Publicaton No. 2009/0192875 A1.
Claim Chart
All
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