Transaction Handler for Privacy-Preserving Personalized Advertising
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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 automating offer redemption across various channels.
Innovation Solution
A system that processes transaction data to generate aggregated spending profiles, correlates online and offline activities, and provides personalized advertisements, while allowing users to enroll in services that protect their privacy and automate offer redemption through a centralized data warehouse and transaction handler.
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 is compromised
Solution Approach 1:
A centralized data warehouse acts as an intermediary between transaction processing systems and advertising delivery systems. The data warehouse aggregates and anonymizes transaction data, allowing personalized advertising to be generated without exposing individual user privacy. The system processes data through multiple layers including transaction handlers, data normalization processes, and offer management systems that maintain privacy while enabling targeted marketing.
2Device complexity
If manual offer redemption processes are used, then system complexity is reduced, but processing time and labor costs increase
Solution Approach 1:
The system implements automated offer redemption where the offer management system automatically detects qualifying transactions, validates offer conditions, and processes redemptions without manual intervention. The transaction handler automatically correlates transactions with offers, and the system self-manages the entire redemption workflow including notification delivery to users and accounting updates, significantly reducing processing time while maintaining manageable complexity through modular architecture.
3Measurement precision
If centralized data processing is implemented, then data accuracy is improved, but system complexity increases
Solution Approach 1:
The centralized data processing system is segmented into multiple specialized components: transaction handlers for data collection, data normalization modules for standardization, profile generation systems for analysis, and offer management systems for application. Each component performs a specific function with high accuracy, and the modular architecture manages complexity by allowing independent development, testing, and maintenance of each segment while maintaining overall system integration.
Data Source
AI summary
A user interface is provided to present offers via icons displayed near the location of the user on a map. Offers presented on the map may include active offers previously selected by the user and currently associated with the consumer account of the user for active participation, matching offers that have a set of targeting criteria which the user meets, and location-based offers that target locations in the vicinity of the location of the user. Icons for the location-based offers are presented at their respective targeting locations; and the active offers and matching offers are presented around the location of the user on the map for convenient access. A user interface allows the user to explore available offers, view information associated with the respective offers, and select offers in which to participate.