Real-Time Search Ad Targeting via Bid Ranking
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Solution Overview
Problem
Traditional advertising methods, such as focus groups and demographic data, often lead to inefficient ad spending as they fail to target users based on their real-time interests and interactions, which are not effectively utilized in online systems.
Innovation Solution
A social networking system enables advertisers to target users through real-time search engines by using structured search queries and results, allowing them to bid on specific search terms and results to increase ad relevance and visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional advertising methods (focus groups, demographic data) are used, then ad campaigns can be designed and implemented, but ad spending becomes inefficient because ads are presented to viewers not interested in the topic
Solution Approach 1:
The system uses real-time feedback from user search queries and interactions to dynamically adjust ad targeting. Advertisers can bid on specific search terms and user actions, receiving immediate feedback about user interest and adjusting their advertising strategy accordingly, transforming static demographic targeting into dynamic, real-time interest-based targeting
Solution Approach 2:
The patent replaces traditional mechanical advertising systems (focus groups, manual demographic analysis) with an automated electronic system that processes user search data, query terms, and interactions to automatically target ads based on real-time user interests and behaviors, eliminating the need for manual sampling and analysis
2Measurement precision
If advertisers target users based on real-time search interactions, then ad relevance increases, but existing systems lack efficient mechanisms to enable this targeting
Solution Approach 1:
The system makes the search engine serve dual purposes: both helping users find information and enabling advertisers to target ads based on search behavior. The same search query data used for user experience is simultaneously utilized for advertising targeting, making the system multi-functional without requiring separate dedicated targeting infrastructure
Solution Approach 2:
The patent introduces an intermediary layer (ad targeting system) that processes search query data and user interaction information to bridge the gap between search engine operations and advertising delivery. This intermediary component translates raw search data into actionable targeting criteria for advertisers
3Productivity
If users perform thousands of searches daily, then valuable targeting opportunities arise, but existing systems do not provide efficient mechanisms to capture and utilize this data for advertising
Solution Approach 1:
The system performs preliminary action by capturing and storing user search query data and interaction information in advance, before advertising decisions are made. This pre-collected data about user interests and behaviors is then used to enable targeted advertising opportunities that would otherwise be lost
Data Source
AI summary
Advertisements in a social networking system may be targeted to searching users in relation with a real-time search engine operated by a social networking system. Ads are targeted to users based in part on social information included in a structured search query and/or search results on a page. In a typeahead search, a user of the social networking system may receive prefix search results of objects in the search box. The prefix search results are ranked by relevance to the user, and advertisers may bid for particular objects to increase their ranking in the results list. An option may be provided to a viewer of search query results to buy an ad that would be seen by other users who performed the same search query, received a targeted search result, or based on targeting criteria as determined by the viewer bidding on the ad.