Interactive Online Advertising Feedback Mechanism
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Solution Overview
Problem
Conventional online advertising methods fail to provide effective feedback to advertisers and do not engage users effectively, leading to disruptive or passive advertisements that are often ignored by users, lacking personal relevance and convenience.
Innovation Solution
A server system that accesses user demographics to select multimedia advertisements and accompanying questions, allowing users to vote on their interest, providing feedback that updates the user's branding profile and selects subsequent ads based on user responses, enhancing user engagement and advertiser insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional online advertising methods are used, then advertisers can reach consumers through online content, but the advertisements do not provide useful feedback to advertisers and do not engage users effectively
Solution Approach 1:
The patent implements a feedback mechanism where users answer questions presented during ad playback, and their responses are transmitted back to the advertiser. This provides actionable feedback information about user interest and preferences, directly addressing the lack of useful feedback in conventional advertising methods.
Solution Approach 2:
The system dynamically adjusts the advertising experience by selecting questions and ad content based on user demographics and previous responses. This creates an adaptive, interactive experience that engages users while gathering valuable feedback data.
2Reliability
If disruptive advertisements are used (forcing users to watch video ads), then advertisers can reach users more effectively, but users experience annoyance and resentment
Solution Approach 1:
Instead of forcing users to watch entire video advertisements, the system allows users to answer questions during ad playback and provides options to advance or close ads. This partial engagement approach maintains ad delivery effectiveness while reducing user annoyance by giving them control.
Solution Approach 2:
The feedback mechanism allows users to express their interest level through question responses, transforming the disruptive ad experience into an engaging interaction that provides value to both advertisers and users.
3Ease of operation
If passive advertisements are used (banner ads at top of webpage), then users are not disrupted, but users can easily ignore and avoid interacting with them
Solution Approach 1:
The system transforms static, passive banner ads into dynamic, interactive experiences by incorporating questions and user responses. This creates engaging advertising content that maintains user convenience while significantly improving ad engagement and feedback collection.
4Measurement precision
If conventional tracking methods are used (cost per action, cost per click), then advertisers can measure basic ad acknowledgment, but these metrics do not indicate user opinion or interest
Solution Approach 1:
The system collects detailed feedback through user responses to questions, providing rich information about user opinion, interest, and preferences. This goes far beyond simple acknowledgment metrics to capture meaningful insights about user attitudes toward advertised content.
Data Source
AI summary
A server system selects a question from a pool of questions associated with an online media campaign. The question is associated with a plurality of predefined answers to the question. The system transmits, to a client, instructions that cause: the question to be presented by the client device, an affordance to be provided corresponding to each of the predefined answers to the question upon a lapse of a first predetermined amount of time following initiating display of the question on the client device, and a multimedia-skip affordance to be presented upon a lapse of a second predetermined amount of time following initiating display of the question on the client device. In response with receiving an indication that the respective affordance was selected at the client device, the system stores a predefined answer that corresponds to the selected respective affordance.