Message Delivery Control Using User Pressure Scores

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Solution Overview

Problem

Companies face challenges in determining which users are receptive to messages, leading to unwanted communication that can alienate users and result in lost affiliations, as they lack detailed information about user preferences and behavior.

Innovation Solution

A customer engagement service that manages and orchestrates message delivery by gathering user data on preferences and behavior, using pressure scores to predict receptivity and control message delivery, reducing unwanted messages and improving user experience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If a company sends messages to all users, then message coverage is maximized, but user alienation increases and user disengagement occurs

Engineering Contradiction:

Improvemessage coverageVSAvoiduser alienation

Core Design Contradiction:

Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The patent applies local quality by customizing message delivery based on individual user characteristics, preferences, and behaviors. Instead of uniform treatment, the system tailors message content, timing, and frequency to each user's specific receptivity profile, thereby maintaining high coverage while reducing alienation through personalized communication strategies

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system dynamically changes delivery parameters (timing, frequency, channel selection) based on user receptivity scores and behavioral data. By adjusting these parameters according to individual user responses and preferences, the system optimizes message delivery to maximize engagement while minimizing user alienation

Inventive Principle:

Principle #35Parameter changes

2Device complexity

If a company lacks detailed user information, then data collection complexity is reduced, but message receptivity prediction accuracy deteriorates

Engineering Contradiction:

Improvedata collection complexityVSAvoidreceptivity prediction accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The system performs preliminary actions by proactively collecting user data, behaviors, and preferences before message delivery occurs. This advance data gathering and analysis enables accurate receptivity prediction, allowing the system to prepare personalized delivery strategies in advance rather than reacting after messages are sent

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring user responses to messages and using this information to refine receptivity predictions. User interactions, engagement patterns, and response behaviors feed back into the system to improve future prediction accuracy, creating a self-learning loop that enhances precision over time

Inventive Principle:

Principle #23Feedback

3Productivity

If repeated messages are sent to unreceptive users, then message frequency increases, but user disengagement and affiliation loss increase

Engineering Contradiction:

Improvemessage frequencyVSAvoiduser affiliation

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system applies partial action by selectively delivering messages only to users who are predicted to be receptive, rather than sending to all users. This targeted approach ensures that message frequency is optimized for engaged users while avoiding excessive messaging to unreceptive users, thereby maintaining productivity without sacrificing user affiliation

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11206238B2Systems and methods for controlling delivery of user messages

Publication Date: 2021.12.21 BRAZE INC

AI summary

Systems and methods for determining whether to send a message to a user take into account a pressure score for the user that is indicative of how receptive the user is to receiving messages. The user's pressure score can vary depending on user behavior. Multiple pressure scores relating to different respective topics or subjects may be maintained for the user.