Cross-Publisher Ad Placement Using Household Measurement Data

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Solution Overview

Problem

Content publishers lack the ability to determine which ads have already been served to their users by other content publishers, leading to suboptimal ad placement decisions and inadequate achievement of desired advertiser outcomes such as marketing reach or user conversions.

Innovation Solution

A system that receives multi-publisher content item measurement data via a data feed, allowing the content publisher's ad serving system to determine which content items have already been served on their users, and uses this information to optimize ad placements on a household-by-household basis to achieve desired outcomes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If content publishers use traditional ad serving systems without multi-publisher data, then the system complexity remains low, but the advertising effectiveness and marketing reach are insufficient

Engineering Contradiction:
Improveadvertising effectivenessVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a measurement data system as an intermediary that collects and provides multi-publisher ad serving data to content publishers. This mediator enables publishers to access cross-publisher information without directly integrating complex systems, thus improving advertising effectiveness while keeping individual publisher system complexity manageable

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The measurement data system serves multiple functions: it collects data from multiple publishers, processes measurement information, and provides optimized ad placement recommendations to various publishers simultaneously. This multi-functional approach consolidates what would otherwise require separate systems at each publisher

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Productivity

If content publishers make ad placement decisions without multi-publisher data, then the decision-making process is simple, but the achievement of desired advertiser outcomes is suboptimal

Engineering Contradiction:
Improveadvertiser outcome achievementVSAvoidad serving information completeness
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The system implements feedback loops where measurement data from ad serving activities is collected, analyzed, and fed back to inform subsequent ad placement decisions. This continuous feedback mechanism enables publishers to optimize placements based on actual performance data and cross-publisher patterns, significantly improving advertiser outcome achievement

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The measurement data system performs preliminary data collection and analysis across multiple publishers before ad placement decisions are made. By pre-processing and organizing measurement data in advance, the system ensures that complete information is available when placement decisions occur, eliminating information gaps

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If content publishers access multi-publisher measurement data, then ad placement optimization is improved, but the data collection and processing complexity increases

Engineering Contradiction:
Improvead placement flexibilityVSAvoiddata processing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The measurement data system acts as an intermediary layer that handles the complexity of multi-publisher data collection, standardization, and processing. Individual publishers interact with this mediator through simplified interfaces, gaining access to comprehensive multi-publisher data without directly managing the complex data infrastructure

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system transforms raw measurement data into standardized parameters and metrics that can be easily processed and applied across different publishers. By changing the form and structure of the data into universal parameters, the system enables broad adaptability while managing processing complexity through standardization

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12574612B1Content item placement optimization system
Publication Date: 2026.03.10 ROKU INC
  • US12574612B1 patent drawing
  • US12574612B1 patent drawing
  • US12574612B1 patent drawing

AI summary

Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for optimizing content item placements on a content publisher application of a media device based on multi-publisher content item measurement data associated with a set of media devices. An example embodiment operates by receiving multi-publisher content item measurement data that comprises data signals for a plurality of content items from a plurality of different publishers that are presented at a plurality of different households. A content item, from among the plurality of content items, is determined to be transmitted to a media device of a particular household for presentation via a content publisher application of the media device. In response to determining that the content item is to be transmitted to the media device, the content item is transmitted to the media device for presentation via the content publisher application of the media device.