Offer Placement System for Privacy-Compliant Targeted Marketing
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Solution Overview
Problem
Current targeted marketing systems lack the ability to provide personalized advertisements to consumers based on their actual purchase histories and spending habits due to privacy laws and lack of access to detailed transaction data, making it difficult for advertisers to offer relevant promotions and track campaign effectiveness.
Innovation Solution
A system that integrates with online banking portals to deliver targeted marketing offers by matching de-identified consumer transaction data with advertiser-defined campaigns, allowing for the display of relevant advertisements and easy redemption while maintaining consumer privacy and compliance with regulatory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If financial institutions share detailed consumer transaction data with advertisers, then advertisers can provide highly personalized and relevant marketing offers, but consumer privacy and security are compromised
Solution Approach 1:
The patent introduces an intermediary system that sits between financial institutions and advertisers. This intermediary receives transaction data from financial institutions, processes it to identify spending patterns and categories, and then shares only the processed insights with advertisers - not the raw personal data. This resolves the contradiction by enabling personalization through pattern recognition while maintaining privacy through data anonymization and categorization.
Solution Approach 2:
The system extracts only the necessary marketing-relevant features from complete transaction data, such as spending categories, frequency patterns, and merchant types, while leaving out personally identifiable information. This extraction process allows advertisers to target consumers based on spending behavior without accessing sensitive personal details, thus enabling personalization while protecting privacy.
2Adaptability or versatility
If advertisers access detailed purchase information, then they can create more targeted marketing campaigns, but regulatory compliance becomes more difficult
Solution Approach 1:
The intermediary system acts as a compliance buffer by processing transaction data according to regulatory requirements before sharing it with advertisers. It implements data retention policies, access controls, and audit trails automatically, reducing the regulatory compliance burden on advertisers while maintaining targeting precision through processed spending pattern data.
Solution Approach 2:
The system creates anonymized copies of transaction data that retain spending pattern information but remove personally identifiable information. These copies can be freely shared with advertisers for marketing purposes without violating privacy regulations, as they are synthetic representations rather than actual personal data.
3Object-affected harmful factors
If traditional marketing systems use general demographic data, then consumer privacy is protected, but marketing relevance and effectiveness decrease
Solution Approach 1:
The system changes the parameters of consumer data from personally identifiable information to anonymized spending pattern descriptors. Instead of using demographic parameters like age, gender, and location, it uses behavioral parameters like spending frequency, category preferences, and merchant types. This transformation maintains privacy protection while dramatically improving marketing effectiveness through behavior-based targeting.
Solution Approach 2:
Instead of starting with personal information and attempting to anonymize it, the system inverts the approach by directly generating anonymized spending pattern data from the outset. It processes transaction data to create category-level insights without ever storing or transmitting personally identifiable information, thus achieving both privacy protection and marketing relevance simultaneously.
Data Source
AI summary
A system and methods for an offer placement system for delivering targeted marketing offers to consumers during a session with an online (web-based) Internet portal, such as an online banking portal of a financial institution. A component receives advertising campaign data from an advertiser including a plurality of targeted marketing offers for delivery to consumers in response to a particular condition (e.g. an offer-triggering event), and stores the campaign data in a database. A component determines the occurrence of an offer-triggering event caused by a consumer during an online session with the online portal, for example, viewing a list of banking transactions. A component identifies a predetermined targeted marketing offer stored in the database that corresponds to the offer-triggering event. A component delivers information corresponding to the targeted marketing offer to the consumer during the online session with the portal.