Advertisement-Watching Score System for Uninterrupted Content
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Solution Overview
Problem
Users are annoyed by having to watch video advertisements before or during content consumption on computing devices, leading to a disjointed experience and potentially lower click-through rates for advertisers, as users often skip or wait for ads to finish, affecting content publishers' revenue and engagement.
Innovation Solution
Implementing an advertisement-watching score system that allows users to skip ads based on their score, which increases for watching and interacting with ads, enabling them to consume content uninterrupted when their score meets a threshold, while decreasing when ads are skipped, ensuring users can watch ads at their leisure and engage with content without interruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If users are required to watch video advertisements before consuming content, then advertisers receive ad impressions and content publishers generate revenue, but user experience deteriorates and content consumption becomes interrupted
Solution Approach 1:
The system performs preliminary action by allowing users to watch advertisements in advance and accumulate points before content consumption. Users can build up an advertisement-watching score that enables them to skip future advertisements, thereby preparing them for uninterrupted content viewing when desired.
Solution Approach 2:
The system implements self-service by giving users control over their own content consumption experience. Users can choose to watch ads to earn skip privileges, and then use those privileges to skip ads when they want uninterrupted content, making their own decisions about when to tolerate advertisements versus when to consume content freely.
2Ease of operation
If users are given the option to skip advertisements after a few seconds, then user experience improves, but advertiser revenue decreases due to lower ad view completion rates
Solution Approach 1:
The system applies dynamics by making the advertisement skipping capability dynamic rather than static. Instead of always allowing skips or never allowing skips, the system adjusts skip availability based on the user's accumulated advertisement-watching score, creating a flexible, adaptive mechanism that balances user convenience with advertiser interests.
Solution Approach 2:
The system changes parameters by introducing an advertisement-watching score parameter that determines skip eligibility. This parameter can be adjusted through user behavior (watching or skipping ads) and directly controls the state of ad skipping permission, transforming the rigid skip/no-skip binary into a graduated system with multiple states.
3Loss of energy
If users must wait for advertisements to fully run without skip options, then advertiser revenue is maximized through complete ad views, but user experience deteriorates and click-through rates decrease
Solution Approach 1:
The system implements feedback by continuously monitoring user advertisement interaction behavior and adjusting the advertisement-watching score accordingly. User actions (watching complete ads, skipping ads, clicking ads) provide feedback that modifies their score, which in turn affects future skip permissions, creating a closed-loop system that adapts to user preferences while maintaining advertiser value.
Solution Approach 2:
The system replaces the mechanical, fixed advertisement delivery mechanism with a more sophisticated, software-based scoring and permission system. Instead of a simple play/skip binary controlled by timing, the system uses computational scoring, threshold comparisons, and dynamic permission granting to control advertisement delivery, substituting mechanical timing constraints with algorithmic decision-making.
4Ease of operation
If an advertisement-watching score system is implemented to enable skipping, then user experience improves through controlled ad skipping, but system complexity increases due to score tracking and threshold management
Solution Approach 1:
The advertisement-watching score system serves multiple functions simultaneously: it tracks user advertisement engagement, determines skip permissions, incentivizes ad viewing, and provides a basis for personalized advertisement delivery. This multi-functionality reduces the need for separate systems for each purpose, thereby managing complexity through consolidation rather than proliferation of independent mechanisms.
Data Source
AI summary
Various implementations provide an improved advertisement model that enables users to skip advertisements based on an advertisement-watching score. That is, as a user watches advertisements or, in some cases, portions of advertisements, an advertisement-watching score is computed. The more advertisements that a user watches, the higher their advertisement-watching score will be. When the user's advertisement-watching score reaches or exceeds a certain threshold, the user is provided with an option to skip subsequent advertisements so that they can consume their content in a generally uninterrupted manner. When an advertisement is skipped, the user's advertisement-watching score is decreased by an amount. If the user's advertisement-watching score is decreased to below the threshold, the user cannot skip additional advertisements until the advertisement-watching score again reaches or exceeds the threshold. The user can cause their advertisement-watching score to increase by watching additional advertisements or, in some cases, portions of advertisements.