Keyword Trend Analysis for Proactive Ad Delivery
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Solution Overview
Problem
Search marketing has limitations such as limited scale, being reactive rather than proactive, and high demand leading to costly ad serving, which restricts its effectiveness in reaching users interested in specific products or services.
Innovation Solution
An advertising system that analyzes keyword trends to automatically adjust the delivery of stable and trendy creatives based on the frequency of keyword usage, allowing advertisers to respond to fluctuations in audience interest levels by serving creatives proportionally to trending versus stable keywords.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If search marketing is used to serve ads in response to user searches, then ads reach users who are actively interested in the topic, but the scale is limited because only users who conduct searches are reached
Solution Approach 1:
The patent applies preliminary action by analyzing keyword trends in advance and proactively serving ads to users based on predicted interests before they actively search. The system monitors keyword usage across the internet, identifies emerging trends, and pre-positiones ads to reach users who are likely to be interested in upcoming topics, thus expanding reach beyond active searchers while maintaining relevance.
2Reliability
If search marketing is used to target specific keywords, then ads reach users with expressed interest, but it becomes costly and difficult to serve ads due to high demand
Solution Approach 1:
The patent applies partial action by focusing ad spending on emerging keyword trends rather than competing for all high-demand keywords. The system identifies nascent trends before they become saturated, allowing advertisers to enter markets with lower competition and lower costs while still reaching highly interested users. This selective approach reduces the energy loss associated with bidding wars for popular keywords.
3Reliability
If search marketing reacts to user search queries, then ads are delivered when users are receptive, but the system cannot anticipate user interests proactively
Solution Approach 1:
The patent applies feedback by continuously monitoring keyword usage across the internet, analyzing trend patterns, and using this information to adaptively adjust ad delivery. The system creates a feedback loop where keyword data from various sources informs predictive modeling, which then guides proactive ad serving. This allows the system to anticipate user interests while maintaining the reliability of reaching receptive audiences.
Data Source
AI summary
Online advertising campaigns are operated responsive to keyword trends. The keywords used by a group of browsers is analyzed periodically over time. A list of the most frequently used keywords is separated into those that have previously appeared on the list, referred to herein as the stable keywords, and those that are newly emerging, referred to herein as the trending keywords. The advertiser selects at least one advertising creative that the advertiser associates with the stable keywords, referred to herein as the stable creative, and at least one advertising creative that the advertiser associates with the trending keywords, referred to herein as the trendy creative. The advertising system then operates the online advertising campaign to deliver the respective stable and trendy creatives in proportion to the frequency of use of the trending versus the stable keywords.