Automated Ad Generation for Search Term Optimization
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Solution Overview
Problem
Advertisers face challenges in maximizing the effectiveness of their advertising dollars by identifying optimal search term and advertisement combinations, and existing systems lack an automated method to determine the best placement fees and strategies for search engines.
Innovation Solution
An automated advertisement system that uses multiple generators to create sets of advertisements, search terms, and links, along with an advertisement manager to select and submit the most beneficial combinations to search engines, and a fee calculator to determine optimal bid amounts based on past metrics and user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisers manually identify optimal search term and advertisement combinations, then advertising effectiveness can be improved, but time consumption and labor costs increase
Solution Approach 1:
The system enables self-service through automated advertisement generation and optimization. The advertisement generator automatically creates ad sets with search terms and bid amounts based on product data and performance metrics, eliminating the need for manual identification of optimal combinations while maintaining high advertising effectiveness.
Solution Approach 2:
The patent replaces manual mechanical processes with automated computational systems. The advertisement generator uses algorithms to automatically analyze product data, generate search terms, calculate optimal bid amounts, and create advertisement sets, substituting human manual work with automated mechanical-computational processes.
2Productivity
If multiple advertisement sets are submitted to search engines, then advertisement visibility improves, but system complexity increases
Solution Approach 1:
The system segments the advertisement submission process into distinct components: product data retrieval, advertisement generation, performance tracking, and bid optimization. Each component handles specific tasks independently, allowing multiple advertisement sets to be managed through modular, organized processes that reduce overall system complexity.
Solution Approach 2:
The advertisement generator serves multiple functions: it retrieves product data, generates search terms, creates advertisement copy, calculates bid amounts, and formats advertisement sets. This multi-functional approach consolidates what would otherwise require multiple separate systems, improving visibility while managing complexity through a unified system.
3Reliability
If bid amounts are optimized based on past metrics, then advertising profitability improves, but data processing requirements increase
Solution Approach 1:
The system performs preliminary data processing by maintaining historical performance metrics and product data in structured formats. By pre-organizing this data and establishing calculation frameworks in advance, the system reduces the processing burden when generating bid amounts, as the foundational data is already prepared and accessible.
Solution Approach 2:
The system uses feedback from past advertisement performance metrics to automatically optimize bid amounts. By continuously analyzing click-through rates, conversion data, and cost-per-click information, the system adjusts bid strategies to improve profitability while processing only the essential feedback data needed for optimization rather than all available data.
Data Source
AI summary
A method and system for identifying advertisement and search term combinations for placing advertisements along with search results. The advertisement system includes multiple advertisement generators that automatically create advertisement sets that each contain one or more advertisements, one or more search terms, and a link to an advertised item. The advertisement system also includes an advertisement manager that receives the advertisement sets from the advertisement generators, identifies a fee to be associated with each advertisement set, and selects which advertisement sets are to be submitted to various search engine services. The advertisement system may also include a fee calculator that generates a fee amount or bid for each advertisement set.