Secure Client Data Mapping for Low-Traffic Content Measurement

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Solution Overview

Problem

Existing systems face challenges in measuring the performance of content items while minimizing exposure of secure data to external computing devices, leading to increased network traffic, latency, and computational costs.

Innovation Solution

A software application that processes client data in a secure environment to transform it into a predefined format for external devices, reducing unnecessary data exchange and enhancing security and efficiency by using a data processing model to determine performance scores.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If client data is sent to external computing devices for performance measurement, then performance scores can be obtained, but network traffic increases and data security is compromised

Engineering Contradiction:
Improveperformance measurementVSAvoiddata exposure risk
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent introduces a data processing system as an intermediary between client data and external computing devices. This intermediary transforms client data into formatted data before transmission, acting as a buffer that enables performance measurement while protecting raw data from direct exposure to external devices

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent applies preliminary action by transforming and formatting client data before it is sent to external computing devices. The data processing system prepares the data in advance, converting it into a standardized format that external devices can process for performance scoring without exposing the original client data

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If raw client data is transmitted to external devices, then accurate performance scores can be calculated, but computational costs and network traffic increase

Engineering Contradiction:
Improveperformance score accuracyVSAvoidcomputational cost
Core Design Contradiction:
Measurement precisionVSLoss of energy

Solution Approach 1:

The patent extracts only the necessary information from client data that is required for performance measurement. The data processing system identifies and extracts relevant fields, transforming them into a condensed formatted structure that retains measurement accuracy while reducing the overall data volume transmitted to external devices

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies parameter changes by transforming client data into a standardized format with specific structural parameters. This formatting process reorganizes data parameters to match external device input requirements, enabling accurate performance calculation while optimizing data transmission efficiency

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If data is exchanged with external computing devices, then performance measurement is enabled, but latency increases

Engineering Contradiction:
Improveeffectiveness measurementVSAvoidprocessing latency
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent reduces latency by performing preliminary data transformation and formatting actions before data transmission. The data processing system prepares the data in advance, converting it into the required format so that when external devices receive the data, they can immediately process it for performance scoring without additional transformation delays

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20260064557A1Network traffic management
Publication Date: 2026.03.05 KANTAR UK LTD
  • US20260064557A1 patent drawing
  • US20260064557A1 patent drawing
  • US20260064557A1 patent drawing

AI summary

A system to manage network traffic is described. The system can include a data processing system that receives a request to execute a data analysis process to measure an effectiveness of a first content item on a plurality of end user computing devices. Client data, for each end user computing device, can be accessed, which includes interaction data representing interactions with the first content item. A data processing model can be executed in a secure environment using the client data to obtain (i) transformed client data structured in accordance with a predefined format and (ii) a data mapping of one or more data fields from the client data to input data. A performance score representing the effectiveness can be received from the external computing device based on (i) the transformed client data and (ii) the data mapping. A second content item can be selected based on the performance score.