Abstract: A system and method for providing socially enabled rewards through a user financial instrument includes gathering transaction data from a user's financial account and analyzing the transaction data for a savings opportunity indication. A savings opportunity from a database of savings opportunities is matched to the user based on the savings opportunity indication, wherein the savings opportunity can be shared with other users or a social network. The savings opportunity is displayed in association with a statement of a user's financial account and the user is allowed to share the savings opportunity, wherein sharing causes a shared savings opportunity to be generated. A second user, one who received the shared savings opportunity, can redeem the shared savings opportunity. The sharing and redemption of the shared savings opportunity is tracked, such as to improve targeting users who are influential based on the number of redemptions of the shared savings opportunity.

Abstract: The present disclosure relates to comparison shopping and usage based service analysis for consumers, primarily for financial products. A consumer may not be aware of a provider's services, options, terms, conditions, costs, or how the service options change based on the consumer's particular usage characteristics. The disclosed comparison shopping method uses the consumer's actual or predicted service usage data. Service provider information is used to present the consumer with relevant alternative service offering options. Transaction data is gathered from a user's financial account and is analyzed for a savings opportunity indication. The analysis is used to match a savings opportunity from a database of savings opportunities, and the savings opportunity may be displayed in a statement of a user's financial account. Past responses to a savings opportunity indication may be gathered and analyzed. In one example, a savings opportunity is presented with a statement of the consumer's financial account.

Abstract: The present disclosure relates to comparison shopping and usage based service analysis for consumers, primarily for financial products. A consumer may not be aware of a provider's services, options, terms, conditions, costs, or how the service options change based on the consumer's particular usage characteristics. The disclosed comparison shopping method uses the consumer's actual or predicted service usage data. Service provider information is used to present the consumer with relevant alternative service offering options. Transaction data is gathered from a user's financial account and is analyzed for a savings opportunity indication. The analysis is used to match a savings opportunity from a database of savings opportunities, and the savings opportunity may be displayed in a statement of a user's financial account. Past responses to a savings opportunity indication may be gathered and analyzed. In one example, a savings opportunity is presented with a statement of the consumer's financial account.

Abstract: The present disclosure relates to comparison shopping and usage based service analysis for consumers, primarily for financial products. A consumer may not be aware of a provider's services, options, terms, conditions, costs, or how the service options change based on the consumer's particular usage characteristics. The disclosed comparison shopping method uses the consumer's actual or predicted service usage data. Service provider information is used to present the consumer with relevant alternative service offering options. Transaction data is gathered from a user's financial account and is analyzed for a savings opportunity indication. The analysis is used to match a savings opportunity from a database of savings opportunities, and the savings opportunity may be displayed in a statement of a user's financial account. Past responses to a savings opportunity indication may be gathered and analyzed. In one example, a savings opportunity is presented with a statement of the consumer's financial account.

Abstract: Disclosed herein is a method of classifying financial transactions by usage patterns of a user. The method includes analyzing metadata extracted from the information associated with financial transactions in accordance with at least one business rule. Where the analysis includes sequentially analyzing the metadata using a constant-time lookup data structure, a Radix tree, a Lucene tree and fuzzy logic methods, until a unique identifier is found that is associated with the metadata. The metadata with the unique identifier is then added to the constant-time lookup data structure to update the constant-time lookup data structure. The transaction data is then classified based on the unique identifier.

Abstract: Disclosed herein is a method of obtaining merchant sales information for marketing or sales teams. Including accessing transaction data from one or more financial institutions and extracting metadata associated with the transaction data in accordance with at least one rule. The metadata is then analyzed to identify transaction data associated with one or more merchants. The transaction data associated with the one or more merchants is provided to the marketing or sales teams.

Abstract: Disclosed herein is a method is provided for managing campaign effectiveness by a merchant. The method comprising: initiating a campaign by one or more merchants, accessing transaction data from one or more financial institutions, extracting metadata associated with the transaction data in accordance with at least one rule, analyzing the metadata to identify transaction data associated with the campaign and the one or more merchants, analyzing the transaction data associated with the campaign and the one or more merchants and providing information associated with the campaign to the merchant.

Abstract: Disclosed herein is a method of providing a user with one or more savings opportunities. The method comprising, gathering transaction data from a user's financial account, analyzing the transaction data for indications of savings opportunities, identifying savings opportunities from a database based on analysis and communicating the savings opportunities to the user.

Abstract: The present disclosure relates to comparison shopping and usage based service analysis for consumers, primarily for financial products. A consumer may not be aware of a provider's services, options, terms, conditions, costs, or how the service options change based on the consumer's particular usage characteristics. The disclosed comparison shopping method uses the consumer's actual or predicted service usage data. Service provider information is used to present the consumer with relevant alternative service offering options. Transaction data is gathered from a user's financial account and is analyzed for a savings opportunity indication. The analysis is used to match a savings opportunity from a database of savings opportunities, and the savings opportunity may be displayed in a statement of a user's financial account. Past responses to a savings opportunity indication may be gathered and analyzed. In one example, a savings opportunity is presented with a statement of the consumer's financial account.

Abstract: A system and method for providing socially enabled rewards through a user financial instrument includes gathering transaction data from a user's financial account and analyzing the transaction data for a savings opportunity indication. A savings opportunity from a database of savings opportunities is matched to the user based on the savings opportunity indication, wherein the savings opportunity can be shared with other users or a social network. The savings opportunity is displayed in association with a statement of a user's financial account and the user is allowed to share the savings opportunity, wherein sharing causes a shared savings opportunity to be generated. A second user, one who received the shared savings opportunity, can redeem the shared savings opportunity. The sharing and redemption of the shared savings opportunity is tracked, such as to improve targeting users who are influential based on the number of redemptions of the shared savings opportunity.