Identifier Matching System for Online-Offline Transaction Correlation
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Solution Overview
Problem
Current systems for processing transaction data from payment cards lack effective methods to correlate online activities with offline transactions and provide personalized advertisements, leading to inefficiencies in targeted marketing and advertising effectiveness.
Innovation Solution
A system that maps online user identifiers to account identifiers, using transaction data to generate intelligence information for personalized or targeted advertisements, and correlates online activities with offline transactions to improve advertising effectiveness and customer behavior prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If online user identifiers are mapped to account identifiers using transaction data, then personalized advertisements can be delivered and advertising effectiveness is improved, but system complexity increases due to the need to correlate online and offline data
Solution Approach 1:
The patent uses transaction data as an intermediary to bridge online user identifiers and offline account identifiers. The system processes transaction records that contain both online activity data and offline purchasing information, using this intermediate data source to create reliable mappings between different identifier systems without requiring direct complex integration between online and offline platforms
Solution Approach 2:
The patent segments the identifier matching process into distinct components: online identifier collection, transaction data processing, offline account identifier extraction, and matching algorithm execution. This segmentation allows each component to be optimized independently and simplifies the overall system architecture by breaking down the complex correlation task into manageable stages
2Productivity
If transaction data is processed to generate intelligence information for targeted marketing, then marketing strategies are enhanced and customer engagement improves, but data processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-processing transaction data to extract and store key intelligence information in advance of marketing campaigns. The system identifies and catalogs customer preferences, purchasing patterns, and behavioral traits from transaction records beforehand, so that when marketing decisions need to be made, the intelligence information is already prepared and readily available, reducing real-time processing requirements
Solution Approach 2:
The patent transforms raw transaction data into standardized intelligence information by changing parameters such as aggregating individual transactions into customer profiles, converting numerical transaction amounts into spending category classifications, and transforming temporal transaction sequences into behavioral pattern indicators. These parameter changes reduce data complexity and accelerate subsequent processing operations
Data Source
AI summary
In one aspect, a system includes a transaction handler to process transactions, a data warehouse to store transaction data recording the transactions processed at the transaction handler and to store mapping data between first user identifiers and first account identifiers, a profile generator to generate a profile of a user based on the transaction data, and a portal coupled to the transaction handler to receive a query identifying a second user identifier used by the first tracker to track online activities of a user. The system is to identify a second account identifier of the user from the second user identifier based on the mapping data between the first user identifiers and the first account identifiers to facilitate targeted advertising using the profile of the user and/or to provide information about certain transactions of the user related to a previously presented advertisement.