Targeted Advertising System Using Intermediary Data for Event Timing
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Solution Overview
Problem
Existing targeted advertising systems fail to provide timely and narrowly tailored advertisements to users based on specific events and characteristics, such as real estate transactions, as they often occur after the transaction is complete and lack precise user profiling.
Innovation Solution
A system that receives information about future events, collects user data from various databases, and selects relevant advertisements to send timely communications, incorporating data from multiple sources to tailor ads to users' needs before and after significant events like property purchases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If advertisements are sent after real estate transactions are complete using existing systems, then advertisers can provide advertisements around the time of purchase, but the purchasing individual often has needs for goods and services prior to events such as closing of a property
Solution Approach 1:
The system performs preliminary actions by sending advertisements before the real estate closing event occurs. It identifies users who are in the process of buying or selling property and delivers targeted ads for related goods and services during the transition period, rather than waiting until after the transaction is complete.
Solution Approach 2:
The system uses an intermediary approach by partnering with real estate professionals (agents, brokers, title companies) who act as mediators between advertisers and consumers. These intermediaries provide access to accurate transaction status information and enable timely advertisement delivery based on the actual event timeline.
2Quantity of substance
If existing systems provide advertisements based on publicly available information, then they can reach broad audiences, but it is not always possible to determine based on publicly available information when an individual is either selling or buying real estate
Solution Approach 1:
The system employs intermediaries (real estate professionals, title companies, lenders) who have access to private transaction information. These intermediaries enable the system to identify users based on accurate event status (buying, selling, closing) rather than relying solely on public records, thereby improving profiling precision while maintaining targeted distribution.
Solution Approach 2:
The system segments users into distinct categories based on their real estate transaction status (e.g., active buyers, active sellers, pre-closing, post-closing). This segmentation allows for precise targeting of specific user groups with relevant advertisements, improving both the accuracy of user profiling and the effectiveness of advertisement distribution.
3Productivity
If existing systems send advertisements to broad demographics, then they can reach potential customers, but they fail to provide narrowly tailored advertisements specific to users based on characteristics of the user and property
Solution Approach 1:
The system merges multiple data sources including user profiles, property characteristics, real estate transaction data, and third-party information into a unified advertising platform. This integration enables narrowly tailored advertisements that consider both user characteristics and property features, significantly improving advertising effectiveness despite the increased system complexity.
Solution Approach 2:
The system uses intermediaries (real estate professionals and title companies) as data sources that provide structured information about users and properties. These intermediaries simplify data collection by providing standardized transaction information, which reduces the complexity of integrating diverse data sources while enabling precise advertisement targeting.
Data Source
AI summary
Systems and methods for targeted advertising are described. The method may include receiving information regarding a future event. The information may include a time and a user identification. Receiving local additional information regarding the user from the one or more databases; requesting third party additional information regarding the user from one or more third party databases; accessing advertiser information from the one or more databases; selecting one or more advertisements based on the advertiser information, information regarding the future event, the local additional information, and the third party additional information; creating a communication template for the one or more selected advertisers; and sending the communication template.