Targeted Ad Delivery via Financial Data Integration
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Solution Overview
Problem
Current behavioral targeting in Internet advertising is limited in accuracy due to the inability to gather data on individuals' spending habits beyond their interactions on specific websites, leading to ineffective ad delivery, as it cannot account for consumers' financial capabilities or broader purchasing trends across all retailers.
Innovation Solution
A system that utilizes a database and processor to classify consumers based on financial information, delivering targeted content, including advertisements, by associating anonymous identifications with financial data from financial institutions, enabling personalized content delivery to devices used by consumers, thereby targeting ads based on lifestyle and purchasing habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If behavioral targeting based on website tracking is used, then advertising relevance to user interests is improved, but accuracy regarding consumer spending capability deteriorates
Solution Approach 1:
The patent combines website behavioral tracking data with financial institution spending data to create a comprehensive consumer profile. This merging of data sources from different domains (web analytics and financial records) allows the system to simultaneously capture both user interests and spending capabilities, resolving the contradiction between relevance and accuracy.
Solution Approach 2:
The patent introduces an intermediary data aggregation layer that collects and correlates information from multiple sources including website trackers and financial institutions. This intermediary system processes raw data from both domains and produces integrated consumer profiles that reveal both interests and spending power, enabling accurate targeted advertising.
2Quantity of substance
If individual retailer tracking methodologies are used, then purchasing habit data collection is improved, but scope of data coverage deteriorates
Solution Approach 1:
The patent creates a universal data collection system that works across multiple retailers and financial institutions through standardized interfaces. The system is designed to aggregate purchasing data from any retailer that participates in the network, making the solution universally applicable and scalable beyond individual retailer limitations.
Solution Approach 2:
The patent merges data collection capabilities across multiple independent retailers by creating a centralized aggregation system. Individual retailer tracking systems are combined into a unified platform that consolidates purchasing habit data from diverse sources, greatly expanding the scope of coverage while maintaining detailed purchasing information.
Data Source
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AI summary
A system for delivering targeted content to a device includes a database and a processor. The database stores anonymous identifications for a plurality of customers of at least one financial institution. Each anonymous identification is associated with financial information for a respective customer of the at least one financial institution. The processor includes software that is configured to classify consumers, create a targeted list of content viewers, and deliver a targeted advertisement over a network to a device used by a content viewer on the targeted list. The classifications can be based on the financial information associated with each anonymous identification. The target list of content viewers can be based on at least one selected classification. The advertisement can be delivered to a device used by a content viewer on the targeted list after the device has been used to log onto an application offered by the at least one financial institution.