Ad Skip Element for Tracking Audience Interest in Media Streams
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing online advertisement systems fail to effectively measure audience interest or disinterest in ad streams, leading to inefficient ad placement and revenue optimization, as they lack mechanisms to track and respond to real-time audience interactions during media streaming.
Innovation Solution
Implementing a system that allows audience members to interact with ads by providing a skip-element during ad presentations, which tracks rejection indications and updates ad effectiveness profiles, enabling dynamic scheduling and revenue optimization based on audience feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ad streams are inserted into media streams based on scheduled timing, then ad publisher revenue is maximized, but the system lacks ability to measure audience interest or disinterest in ad streams
Solution Approach 1:
The patent implements feedback mechanisms by introducing skip elements that allow audience members to indicate disinterest in ad streams. The system detects skip events and uses this feedback to update effectiveness profiles, creating a closed-loop system where audience responses directly inform future ad placement decisions. This resolves the contradiction by capturing audience interest information while maintaining revenue optimization.
Solution Approach 2:
The patent applies preliminary action by pre-configuring effectiveness profiles and skip elements before ad stream insertion. The system prepares measurement frameworks in advance, establishing the capability to track audience interest prior to actual ad delivery. This enables the system to both maximize revenue through informed scheduling and measure audience interest simultaneously.
2Reliability
If ad streams are made non-skippable to ensure maximum exposure, then ad effectiveness is improved, but audience experience deteriorates
Solution Approach 1:
The patent implements dynamics by making ad streams adaptively skippable based on real-time audience behavior. The system dynamically adjusts ad presentation by detecting skip events and updating effectiveness profiles, allowing ad streams to transition between skippable and non-skippable states. This resolves the contradiction by optimizing ad effectiveness for engaged audiences while providing skip capability for disinterested viewers.
Solution Approach 2:
The patent applies parameter changes by modifying the skip element's state based on audience interaction. The skip element transitions from inactive to active state after a predetermined time interval, changing the ad stream's skippability parameter. This enables the system to maintain ad effectiveness during initial exposure while allowing audience control if disinterest is indicated.
3Ease of operation
If skip elements are provided during ad presentations to allow audience control, then audience experience is improved, but the system complexity increases
Solution Approach 1:
The patent extracts the skip indication function from the main ad delivery system by implementing it as a separate, standardized skip element. This modular approach isolates the complexity of audience interaction handling, allowing the core ad insertion system to remain simple while adding sophisticated audience control capabilities through the extracted skip element mechanism.
4Productivity
If ad insertion scheduling is optimized based on multiple factors, then ad revenue is maximized, but the ability to respond to real-time audience interactions is reduced
Solution Approach 1:
The patent implements self-service by enabling the ad insertion system to automatically respond to audience skip events without external intervention. The system autonomously detects skip events, updates effectiveness profiles, and adjusts future ad scheduling decisions based on this real-time feedback. This resolves the contradiction by maintaining revenue optimization while adding real-time adaptability through automated self-adjustment.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for characterizing effectiveness of online advertisements inserted into media streams based at least in part on monitoring events indicative of an audience skipping ad streams inserted into the media streams. The methods and systems described in this specification enable tracking the number of impressions prior to detecting events indicative of interest or disinterest for ad streams inserted into a media stream.