Transaction Handler for Real-Time Targeted Advertising
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for processing transaction data from payment cards lack effective integration of real-time interaction and personalized advertising, failing to efficiently utilize user data for targeted offers and loyalty programs across various platforms.
Innovation Solution
A computing apparatus is configured to process transaction data, generate user profiles, and provide real-time targeted advertisements by correlating transaction data with online activities, social networking data, and non-transactional events, enabling personalized offer delivery and loyalty program management across multiple channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transaction data is processed and analyzed for targeted advertising, then advertising effectiveness is improved, but user privacy and data security concerns worsen
Solution Approach 1:
The patent introduces a transaction handler as an intermediary between payment card issuers and advertisers. This handler aggregates and analyzes transaction data to generate consumer profiles and targeted offers, while maintaining data security through controlled access and processing. The intermediary structure enables effective advertising by matching consumers with relevant offers based on their transaction patterns, while addressing privacy concerns through centralized, secure data management rather than direct exposure of raw transaction data to multiple parties.
2Speed
If real-time transaction processing is implemented, then response time is improved, but system complexity worsens
Solution Approach 1:
The patent segments the real-time processing system into distinct functional components: transaction processing modules, consumer profile generation modules, offer matching modules, and communication modules. Each segment handles specific tasks independently, enabling real-time processing of transactions while maintaining manageable system complexity through modular architecture. The segmentation allows parallel processing of multiple transaction types and facilitates easier maintenance and scaling.
Solution Approach 2:
The system performs preliminary actions by pre-processing transaction data to generate consumer profiles and categorize spending patterns before real-time offer matching occurs. This preliminary profile generation enables rapid response times during actual transactions, as the system can quickly match pre-defined consumer segments with relevant offers without performing complex analysis in real-time, thus reducing computational complexity during critical transaction moments.
3Measurement precision
If multiple data sources are integrated for personalized advertising, then advertising precision is improved, but data processing complexity worsens
Solution Approach 1:
The patent merges multiple data sources including transaction data, consumer profiles, offer information, and response tracking into a unified processing framework. The transaction handler consolidates these diverse data types and generates integrated consumer profiles that capture comprehensive spending behavior patterns. This merging approach enables precise targeted advertising by creating holistic views of consumer preferences and behaviors, while managing data processing complexity through standardized integration protocols and centralized data management.
Data Source
AI summary
In one aspect, a computing apparatus is configured with a configurable, generic, data-driven model, in which properties of social networking sites/applications are stored and used in communicating offer-related messages via social networking sites.