Targeted Advertising System Using Consumer Financial Data Segmentation
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Solution Overview
Problem
Current online advertising methods are costly and inefficient, as they often use a shotgun approach, targeting large audiences without ensuring that consumers are ready, able, and willing to purchase the advertised products or services.
Innovation Solution
A personalized consumer advertising system that uses actual consumer financial expenditures to identify and target individuals with specific advertising criteria, allowing marketers to create custom profiles for consumers based on their financial transactions, geographical location, and demographic information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If advertisers use broad-spectrum advertising to reach large audiences, then the quantity of consumers exposed to advertisements increases, but the cost per acquisition increases and the return on investment decreases
Solution Approach 1:
The patent segments the consumer base into distinct groups based on financial transaction data, demographic information, and behavioral patterns. By dividing the broad audience into targeted segments, advertisers can focus their spending on groups most likely to convert, thereby maintaining reach while improving ROI through precise segmentation of the consumer population.
Solution Approach 2:
The patent applies local quality by tailoring advertising content and placement to specific consumer segments with unique characteristics. Instead of uniform broad-spectrum advertising, the system delivers customized advertisements to specific geographic locations, demographic groups, and behavioral segments, optimizing the quality of advertising exposure for each local segment while controlling overall costs.
2Measurement precision
If advertisers use keyword-based search advertising, then they can target consumers interested in specific products, but the cost per click increases significantly
Solution Approach 1:
The patent introduces an intermediary layer of financial transaction data and consumer profiling that mediates between advertisers and consumers. Instead of direct keyword-based targeting, the system uses intermediate consumer segments defined by spending patterns, demographics, and behavioral data, allowing advertisers to reach targeted audiences through multiple lower-cost channels rather than expensive direct keyword auctions.
Solution Approach 2:
The patent changes the parameters used for advertising targeting from traditional keyword-based metrics to financial transaction-based parameters such as spending patterns, purchase frequency, and demographic data. This parameter transformation allows for more nuanced and cost-effective targeting by identifying consumers based on their actual financial behavior rather than search queries, reducing dependency on expensive keyword placements.
3Loss of information
If advertisers track consumer behavior through website monitoring, then they can identify interested consumers, but they cannot access actual financial transaction data to determine purchasing ability
Solution Approach 1:
The patent creates a universal data platform that serves multiple functions: it collects financial transaction data for advertising targeting, provides consumer profiling for marketers, and enables purchase intent analysis. This multi-functional system consolidates various data collection efforts into a single infrastructure, reducing overall system complexity while providing comprehensive consumer financial information to advertisers.
Data Source
AI summary
Systems and methods are described for presenting targeted offer advertisements to qualified customers while browsing the Internet. A designated interaction region such as a frame or border is positioned on each advertisement, and when a customer activates the border by clicking on or hovering a cursor there over, a menu of selectable options is displayed, from which the customer may select to perform an action on the offer. For instance, the customer may select an option to save the targeted offer to an offer library for later review. Additionally, the customer may select an option to access the offer library to review details of saved offers.