Campaign Management Interface for Automated Savings Identification
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Solution Overview
Problem
Users often fail to identify whether advertised products or services offer genuine savings or improvements due to the cumbersome process of investigating current costs and prices, leading to neglect of potentially beneficial advertisements.
Innovation Solution
A system and method that collects user transaction data, applies advertiser-provided criteria and formulas to identify suitable users for targeted offers, allowing personalized and efficient advertising of cost-effective products or services without requiring extensive user investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually investigate current costs and prices to determine whether advertised products or services offer savings, then they can identify genuine benefits, but the process becomes too cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically collecting user transaction data, calculating current spending on relevant products or services, and comparing it with advertised prices before the user sees the advertisement. This pre-computation eliminates the need for users to manually investigate, resolving the contradiction between accurate savings identification and time consumption.
Solution Approach 2:
The system enables self-service by automatically gathering transaction data from multiple sources, computing spending amounts, and determining savings opportunities without user intervention. The system serves itself by performing the entire investigation process autonomously, freeing users from the cumbersome manual research while maintaining measurement precision.
2Productivity
If all users are exposed to advertisements for products or services, then advertisers can reach potential customers, but most users receive advertisements that are not relevant or beneficial to them
Solution Approach 1:
The system applies local quality by customizing advertisement delivery based on individual user characteristics. Instead of uniform mass marketing, the system analyzes each user's transaction data and spending patterns to determine relevance, ensuring that only users who would genuinely benefit from an advertisement receive it. This resolves the contradiction between broad advertising reach and advertisement relevance.
Solution Approach 2:
The system performs preliminary analysis of user transaction data and spending patterns before delivering advertisements. By pre-evaluating user eligibility and potential savings, the system ensures that advertisements are targeted only to relevant users, eliminating the waste of broadcasting to all users and maintaining both productivity and information quality.
3Reliability
If users investigate every advertised product or service, then they can find genuine savings, but the investigation process is too cumbersome and discourages participation
Solution Approach 1:
The system performs the entire investigation process automatically without user effort. It collects transaction data from multiple sources, computes current spending, compares with advertised prices, and presents verified savings opportunities. This maintains high reliability in savings identification while achieving maximum ease of operation by requiring zero user investigation effort.
Solution Approach 2:
The system replaces the mechanical process of manual investigation with automated electronic data collection and computation. Instead of users physically gathering and analyzing transaction records, the system electronically aggregates data from multiple sources and performs calculations automatically, maintaining reliability while dramatically improving ease of operation.
Data Source
AI summary
A system and method allows an offeror to identify parameters for determining whether a user could benefit from an offer, and transaction data for each of several users, and the parameters, are used to determine which of several users could benefit from the offer. The offer is presented to those users, along with the data of how the user could benefit, and the system and method allows the user to accept the offer, transmitting information to the offeror or his agent if the user accepts the offer. Payment may be made based on the offers, acceptances, or both.