Email Ad Campaign Analytics via User Feedback Segmentation

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Solution Overview

Problem

Advertisers face challenges in effectively targeting user segments for email advertisements due to overwhelming email volumes, leading to ads being marked as spam or deleted, resulting in wasted resources and negative user impressions, while email providers lack monetization strategies for bulk/junk emails.

Innovation Solution

A system and method that classifies and analyzes feedback from email users to identify key performance indicators, generating reports for advertisers on ad campaign performance across user segments, allowing for targeted advertising and revenue generation for email providers without compromising user privacy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If email providers send bulk advertisements to all users, then advertisement reach is improved, but user spam complaints increase and ad effectiveness decreases

Engineering Contradiction:

Improveadvertisement reachVSAvoiduser spam complaints

Core Design Contradiction:

Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The patent segments users into different groups based on their email engagement behavior, preferences, and feedback patterns. By dividing the user base into segments rather than treating all users uniformly, the system can target advertisements more precisely to relevant audiences, reducing spam complaints while maintaining advertisement reach.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system implements feedback loops where user responses to advertisements (such as marking as spam, opening, or clicking) are collected and analyzed. This feedback is then used to adjust future advertising strategies, refine user segmentation, and improve ad targeting accuracy, thereby reducing harmful spam effects while maintaining reach.

Inventive Principle:

Principle #23Feedback

2Loss of information

If advertisers target specific user segments, then ad relevance is improved, but measurement precision of ad performance deteriorates due to limited data

Engineering Contradiction:

Improvead relevanceVSAvoidad performance measurement

Core Design Contradiction:

Loss of informationVSMeasurement precision

Solution Approach 1:

The patent combines data from multiple sources including user feedback, email system logs, and advertiser information into a unified analytics platform. By merging these diverse data streams, the system maintains comprehensive measurement capabilities even when targeting specific user segments, thus preserving both ad relevance and measurement precision.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system creates a multi-functional platform that serves multiple purposes: it segments users for targeted advertising, collects feedback from various channels, analyzes performance metrics, and provides reporting tools. This universal platform handles both the need for segment-specific relevance and the requirement for overall performance measurement through integrated functionality.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If email providers classify and analyze user feedback, then ad targeting accuracy is improved, but system complexity increases

Engineering Contradiction:

Improvead targeting accuracyVSAvoidfeedback analysis system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements automated classification and analysis systems that process user feedback without requiring extensive manual intervention. The system self-organizes user responses, automatically segments users based on their behavior, and generates performance metrics autonomously, thereby reducing the operational complexity despite the sophisticated analysis performed.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts classification parameters and segmentation criteria based on accumulated data and performance metrics. By automatically tuning these parameters rather than maintaining fixed complex rules, the system achieves high targeting accuracy while managing complexity through adaptive simplification.

Inventive Principle:

Principle #35Parameter changes

4Productivity

If advertisers receive detailed performance reports, then marketing effectiveness is improved, but user privacy protection deteriorates

Engineering Contradiction:

Improvemarketing effectivenessVSAvoiduser privacy

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The patent extracts and reports only aggregated, anonymized metrics that provide marketing effectiveness insights without revealing individual user identities or sensitive personal information. By taking out only the necessary performance data while leaving out identifying information, the system maintains both marketing effectiveness and user privacy protection.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS10217127B2Computerized systems and methods for determining performance of content in email

Publication Date: 2019.02.26 YAHOO AD TECH LLC

AI summary

Enabling advertisers to evaluate performance of an email advertisement campaign is disclosed. An advertisement is circulated via email among the users of an email system and feedback associated with one or more of user actions or automated actions by the email system with respect to the circulated advertisement are detected. The feedback is analyzed to determine the performance of the email advertisement campaign across various user segments. Informative reports regarding the feedback are generated and provided to the advertiser for a charge by the email system provider.