Transaction Handler for Real-Time Personalized Ad Delivery
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Solution Overview
Problem
Current systems for processing transaction data from payment cards lack efficient methods to provide personalized and targeted advertisements while ensuring user privacy and real-time interaction, and fail to effectively correlate online activities with offline transactions to improve marketing strategies.
Innovation Solution
A computing apparatus is configured to process transaction data, generate user profiles, and provide real-time personalized advertisements by correlating transaction data with online activities, using a transaction handler that automates the selection, generation, and delivery of targeted offers, while ensuring user consent and privacy, and facilitating loyalty programs and real-time message delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transaction data is processed to provide personalized advertisements, then marketing effectiveness is improved, but user privacy protection becomes more challenging
Solution Approach 1:
The patent introduces a transaction handler as an intermediary component that sits between the payment card system and the advertising system. This handler processes transaction data, generates user profiles, and facilitates targeted offers without directly accessing or storing sensitive user information. The intermediary architecture allows marketing personalization while maintaining privacy boundaries through structured data handling and consent management.
Solution Approach 2:
The system segments the data processing function into distinct components: transaction data processing, user profile generation, and offer delivery. By separating these functions, the patent enables personalized marketing through transaction data without requiring direct access to raw transaction records, thus reducing privacy risks while maintaining marketing effectiveness.
2Speed
If real-time transaction processing is implemented, then responsiveness is improved, but system complexity increases
Solution Approach 1:
The patent implements preliminary actions by pre-defining offer rules, criteria, and user profile templates before transactions occur. When a transaction happens, the system simply matches it against pre-established rules rather than performing complex analysis in real-time, enabling fast responsiveness without excessive system complexity.
Solution Approach 2:
The transaction handler performs self-service processing by automatically generating user profiles and determining offer eligibility based on transaction data without requiring manual intervention or complex external processing, thus achieving real-time performance with manageable system complexity.
3Adaptability or versatility
If user profiles are generated from transaction data, then advertising personalization is improved, but data processing requirements increase
Solution Approach 1:
The patent extracts only the necessary information from transaction data to generate user profiles, focusing on key attributes such as spending patterns, preferences, and demographics rather than processing all transaction details. This selective extraction enables effective personalization while minimizing data processing volume and requirements.
4Measurement precision
If targeted offers are delivered based on transaction data, then marketing precision is improved, but user consent management becomes more complex
Solution Approach 1:
The system performs preliminary consent management by obtaining user authorization preferences before transaction processing begins. Users provide consent settings in advance, and the transaction handler uses these pre-established preferences to determine whether to generate profiles and deliver offers, simplifying ongoing consent management while maintaining marketing precision.
Data Source
AI summary
In one aspect, a computing apparatus is configured to facilitate the redemption of loyalty currency in a payment transaction via facilitating awareness of the payment transaction, managing the consumer segmentation and offering promotions, validating available points currency, managing a currency value exchange rate, applying deductions to consumer currency balance, facilitating consumer reimbursement, invoicing for currency exchange, and/or providing consumer engagement.


