Replacement Ad Segment Selection for Guaranteed Campaign Delivery

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing systems face challenges in selecting replacement advertisement segments for guaranteed advertising campaigns, leading to potential non-completion and loss of payment, due to differing end dates and revenue optimization issues.

Innovation Solution

A computing system determines the estimated number of replacement advertisement segment viewings and impressions remaining before an advertising campaign end date, comparing values to select the most advantageous segment for transmission to a content-presentation device.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If replacement advertisement segments are selected based on revenue optimization, then revenue is maximized, but guaranteed advertising campaign completion is not ensured

Engineering Contradiction:

Improverevenue lossVSAvoidcampaign completion guarantee

Core Design Contradiction:

Loss of energyVSReliability

Solution Approach 1:

The system performs preliminary actions by determining the estimated number of replacement advertisement segment viewings remaining before an end date and the number of impressions remaining to reach a guaranteed total before making selection decisions. This advance calculation ensures that revenue optimization choices do not compromise guaranteed campaign completion.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system changes the selection parameter from pure revenue optimization to a composite value that incorporates both revenue considerations and campaign completion requirements. By calculating a value that reflects both the revenue potential and the contribution toward guaranteed impressions, the system resolves the contradiction between maximizing revenue and ensuring campaign completion.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If advertisement segments are selected to maximize immediate revenue, then short-term revenue increases, but long-term campaign guarantees may be compromised

Engineering Contradiction:

Improverevenue generationVSAvoidcampaign duration

Core Design Contradiction:

ProductivityVSDuration of action of stationary object

Solution Approach 1:

The system performs preliminary calculations of estimated viewings remaining and impressions needed before the end date, allowing it to make informed selections that balance immediate revenue with long-term campaign completion. This prevents short-term revenue maximization from compromising the overall campaign duration and guarantee.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from the calculated values (estimated viewings remaining, impressions remaining) to adjust advertisement segment selections dynamically. This feedback mechanism ensures that selections contribute to both revenue generation and campaign completion, resolving the contradiction between short-term productivity and long-term duration.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If the system calculates detailed estimated viewings and impressions for each advertisement segment, then selection accuracy improves, but computational complexity increases

Engineering Contradiction:

Improveselection accuracyVSAvoidcomputational complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the calculation process into distinct components: determining estimated number of replacement advertisement segment viewings remaining, determining number of impressions remaining, and calculating a composite value. This segmentation allows for precise measurements without overwhelming computational complexity, as each segment can be processed independently and efficiently.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12380464B2Real-time guaranteed campaign delivery optimization using broadcast schedules and historic viewing data

Publication Date: 2025.08.05 ROKU INC

AI summary

In one aspect, an example method includes (i) determining an estimated number of replacement advertisement segment viewings remaining before an end date of a first advertising campaign; (ii) determining a number of impressions remaining for the first advertising campaign in order to reach a guaranteed total; (iii) determining, using the estimated number of replacement advertisement segment viewings and the number of impressions remaining, a first value of serving a first replacement advertising segment corresponding to the first advertising campaign to a content-presentation device; (iv) determining a second value of serving a second replacement advertisement segment corresponding to a second advertising campaign to the content presentation device; (v) selecting the first replacement advertisement segment rather than the second replacement advertisement segment based on the first value being greater than the second value; and (vi) causing the first replacement advertisement segment to be transmitted to the content-presentation device.