Cross-Device Ad Frequency Management for Household Impression Caps

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Solution Overview

Problem

Existing advertising systems struggle to optimize and personalize advertisements across a diverse range of connected devices, leading to user experience degradation due to suboptimal and excessive ad exposure.

Innovation Solution

Implement a frequency management system that uses machine learning to analyze and manage the serving of media items by identifying candidate items, determining impression counts, and adjusting serving based on predefined thresholds to prevent overexposure.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If frequency management uses traditional lookup methods, then system complexity is reduced, but measurement precision of impression counts deteriorates

Engineering Contradiction:

Improveimpression count accuracyVSAvoidfrequency management system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces a frequency management service as an intermediary component between the media item selection process and the final ad serving decision. This service performs lookups using cross-device identifiers to accurately count impressions across multiple devices, resolving the contradiction by adding a specialized intermediary layer that improves measurement precision without requiring the entire system to become overly complex

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The frequency management system is segmented into distinct functional components: a frequency management service that handles impression counting, a set of frequency thresholds for different time periods (24 hours, 7 days, 30 days), and separate processing for different media items. This segmentation allows each component to be optimized independently, improving overall measurement precision while maintaining manageable system complexity

Inventive Principle:

Principle #1Segmentation

2Productivity

If ads are served more frequently to increase engagement, then productivity improves, but object-affected harmful factors worsen

Engineering Contradiction:

Improvead serving efficiencyVSAvoidad fatigue

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent implements dynamic frequency management by adjusting the number of allowed impressions based on real-time data about user exposure history. Instead of static ad serving, the system dynamically determines how many times an ad can be shown within different time periods (24 hours, 7 days, 30 days) based on actual impression counts, thereby optimizing productivity while preventing ad fatigue

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback loops where impression counts are tracked and fed back into the frequency management decisions. By continuously monitoring how many times media items have been served and using this feedback to adjust future serving decisions against predefined thresholds, the system achieves optimal ad productivity while avoiding excessive exposure that causes fatigue

Inventive Principle:

Principle #23Feedback

3Productivity

If frequency thresholds are increased to allow more impressions, then productivity improves, but loss of information worsens

Engineering Contradiction:

Improvemedia item serving volumeVSAvoiduser exposure data accuracy

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent performs preliminary actions by establishing and maintaining accurate impression count records before final ad serving decisions are made. The frequency management service proactively tracks and stores impression data for multiple time periods (24 hours, 7 days, 30 days), ensuring that when serving decisions are made, the information is already ready and accurate, thereby preventing information loss while maintaining high serving volume

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250358463A1Machine learning techniques for advanced frequency management

Publication Date: 2025.11.20 TUBI INC

AI summary

Systems and methods for frequency management, including: an online media service configured to (i) receive a request for a media item, the request including a recipient identifier, (ii) identify a set of candidate media items relevant to the recipient, and (iii) obtain a set of cross-device identifiers associated with the recipient identifier, the set corresponding to a household; and a frequency management service configured to (i) identify an aggregate quantity of impressions associated with a candidate media item of the set of candidate media items and the set of cross-device identifiers over a preceding duration of time, (ii) identify a maximum frequency threshold, (iii) determine, based on the aggregate quantity of impressions, that the maximum frequency threshold is exceeded, (iv) exclude the candidate media item from a result set based on the maximum frequency threshold being exceeded, and (v) provide the result set in response to the request.