View source for 18522116. SYSTEM AND METHOD FOR PROVIDING ADVERTISER AUCTIONS BASED ON SEGMENTATION INFORMED BY PURCHASE DATA simplified abstract (Capital One Services, LLC)

=SYSTEM AND METHOD FOR PROVIDING ADVERTISER AUCTIONS BASED ON SEGMENTATION INFORMED BY PURCHASE DATA=


==Organization Name==

[[:Category:Capital One Services, LLC|Capital One Services, LLC]]


[[Category:Capital One Services, LLC]]

==Inventor(s)==

[[:Category:Luke A. Hammock of Washington DC (US)|Luke A. Hammock of Washington DC (US)]][[Category:Luke A. Hammock of Washington DC (US)]]

[[:Category:Janusz Michael Niczyporuk of Vienna VA (US)|Janusz Michael Niczyporuk of Vienna VA (US)]][[Category:Janusz Michael Niczyporuk of Vienna VA (US)]]

==SYSTEM AND METHOD FOR PROVIDING ADVERTISER AUCTIONS BASED ON SEGMENTATION INFORMED BY PURCHASE DATA - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18522116 titled 'SYSTEM AND METHOD FOR PROVIDING ADVERTISER AUCTIONS BASED ON SEGMENTATION INFORMED BY PURCHASE DATA

==Simplified Explanation==

The abstract describes a system and method for advertiser auctions based on segmentation informed by purchase data, utilizing a financial institution, advertisers, and a bidding server. It also involves pooling customer and transaction information in databases and allowing advertisers to bid on access to information or the ability to present advertisements to customers.

* Financial institution involvement in advertiser auctions
* Utilizing purchase data for segmentation in advertiser bidding
* Pooling customer and transaction information in databases
* Advertisers bidding on access to information or presenting advertisements to customers

== Potential Applications ==
This technology could be applied in digital marketing, targeted advertising, and customer relationship management systems.

== Problems Solved ==
This technology helps advertisers target their audience more effectively, leading to higher conversion rates and better return on investment.

== Benefits ==
The system allows for more personalized and relevant advertisements for customers, potentially increasing engagement and sales for advertisers.

== Potential Commercial Applications ==
Potential commercial applications include online advertising platforms, marketing agencies, and e-commerce websites.

== Possible Prior Art ==
One possible prior art could be the use of customer segmentation in advertising, but the specific combination of financial institution data, advertiser auctions, and customer information pooling may be novel.

== Unanswered Questions ==

=== How does the system ensure customer privacy and data security? ===
The article does not provide details on the measures taken to protect customer information and ensure compliance with data privacy regulations.

=== What criteria are used to determine the winning bid in the advertiser auctions? ===
The article does not specify the factors or algorithms used to determine the winning bid in the auctions.


==Original Abstract Submitted==

A system and method in accordance with exemplary embodiments may include advertiser auctions based on segmentation informed by purchase data, including a financial institution, one or more advertisers, and a bidding server to facilitate advertiser bidding. Additionally, a system and method in accordance with exemplary embodiments may pool customer and/or transaction information in one or more databases. The system and method in accordance with exemplary embodiments may also utilize a bidding server to permit advertisers to bid on access to information or the ability to present an advertisement and/or offer to a customer.



[[Category:G06Q30/0273]]