Automated Placement Reservation System for Ad Targeting
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Solution Overview
Problem
Advertisers face difficulties in collecting and processing traffic data and targeting rules from multiple publishers, making it time-consuming to find optimal placements for online advertising, and the reservation process is prone to errors and discrepancies.
Innovation Solution
A method and system for reserving and ranking placements based on targeting criteria, involving the receipt of placement inventory data, identification of available placements, provision of reservation data, and reconciliation of advertisement performance, which automates the placement reservation process and reduces errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advertisers manually collect and process traffic data and targeting rules from multiple publishers, then they can identify optimal placements for online advertising, but the process becomes time-consuming and complex
Solution Approach 1:
The patent introduces an intermediary system that automatically collects, processes, and analyzes traffic data and targeting rules from multiple publishers. This intermediary platform enables advertisers to efficiently identify optimal placements without manual data collection, resolving the contradiction between measurement precision and time loss by automating the intermediate processing steps.
Solution Approach 2:
The patent replaces the manual mechanical process of collecting and analyzing placement data with an automated computational system. The system automatically queries publishers, processes traffic data, evaluates targeting rules, and identifies optimal placements, substituting human manual work with automated information processing to reduce time while maintaining or improving accuracy.
2Reliability
If advertisers manually reserve placements from publishers, then they can secure advertising space, but the process is prone to errors and discrepancies in availability and pricing
Solution Approach 1:
The patent implements a self-service automated reservation system where the system automatically queries publisher availability, compares pricing, selects optimal placements, and completes reservations without manual intervention. This self-service approach reduces human error and increases reliability while managing complexity through systematic automation of the reservation workflow.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors placement availability, pricing changes, and reservation status from publishers. This real-time feedback enables the system to adjust reservations dynamically, resolve discrepancies automatically, and maintain high reliability in the reservation process by responding to changing conditions.
3Measurement precision
If publishers enable targeting rules to limit advertisements based on user demographics, then the percentage of advertisements reaching the target audience increases, but the process of finding suitable placements becomes more complex
Solution Approach 1:
The patent applies preliminary action by pre-processing and categorizing targeting rules from multiple publishers before the advertiser needs to make placement decisions. The system automatically evaluates which placements satisfy the advertiser's targeting criteria in advance, filtering out incompatible placements and presenting only suitable options, thereby reducing complexity while maintaining high targeting precision.
Solution Approach 2:
The patent segments the complex placement selection process into distinct analytical steps: collecting targeting rules, evaluating traffic data, matching advertiser criteria, and ranking placements. This segmentation breaks down the complex task into manageable components that can be processed systematically, reducing overall complexity while preserving the ability to achieve precise targeting.
Data Source
AI summary
A reservation system receives placement inventory data from publishers that define placements that the publishers are offering for reservation. Placement queries that include targeting criteria for advertisements are received from an advertiser. Available placements that satisfy the target query from the placements defined in the placement inventory data are identified as target placements. The advertiser can reserve the placements from the publisher, and modify the reservation during a reservation period. Advertisements belonging to a campaign of the advertiser can be provided to the publisher either by the advertiser directly in response to publisher requests to serve an advertisement for the reservation, or can be provided to the publisher by the reservation system or an advertising server in communication with the reservation system. Discrepancies of reported performance of advertisements in the placements reported by the advertisers and the publishers can be reconciled and attributed to either the advertiser or the publisher.